131 Statsmodels Jobs - Page 3

Job Title: Quantitative Analyst (Forex) Location: Indore, MP, India (Onsite only - Work from office) Experience Level: 3–5 years Employment Type: Full-time Role Overview Tecnomi is seeking a talented Quantitative Analyst to join our team full-time and play a key role in building, validating, and optimising systematic forex trading strategies. You will work closely with the project owner and development team to develop actionable models, implement risk frameworks, and contribute to data-driven insights. This full-time position offers the opportunity to drive innovative solutions in a collaborative environment, with a focus on long-term project impact. Key Responsibilities Strategy Development: Design, test, and optimise quantitative trading strategies using price data, volatility measures, sentiment indicators, and macroeconomic variables. Modelling & Backtesting: Build robust forecasting models (e.g., time-series, LSTM/Transformer hybrids) and perform rigorous backtesting to ensure reliability. Risk Frameworks: Develop and integrate risk-control tools (e.g., Value-at-Risk, drawdown limits, exposure thresholds) while aligning with compliance best practices. Data Integration: Aggregate and analyse multi-source data (news feeds, order-book snapshots, economic calendars) for model inputs and enhancements. Mentorship: Provide ongoing guidance and knowledge-sharing sessions to educate non-technical team members, including the project owner, on forex fundamentals and quantitative concepts. Collaboration & Documentation: Work with development teams to integrate model outputs into systems; maintain clear, comprehensive documentation of assumptions, processes, and results. Required Qualifications 3–5 years of experience in quantitative research, preferably in forex or systematic trading. Hands-on experience with backtesting platforms and statistical validation techniques. Strong understanding of FX market dynamics, macro drivers, and risk modelling. Excellent communication and teaching skills to mentor non-experts effectively. Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, or a related field. Verifiable 3-year portfolio showcasing prior models, backtests, or strategy reports. Preferred Skills Experience across multiple forex instruments or asset classes. Proficiency in Python or R (e.g., pandas, NumPy, statsmodels, scikit-learn). Familiarity with regulatory frameworks (e.g., RBI/FEMA). Exposure to tools like QuantConnect, MLflow, or similar platforms.

Job Title: Quantitative Analyst (Forex) Location: Indore, MP, India (Onsite only - Work from office) Experience Level: 3–5 years Employment Type: Full-time Role Overview Tecnomi is seeking a talented Quantitative Analyst to join our team full-time and play a key role in building, validating, and optimising systematic forex trading strategies. You will work closely with the project owner and development team to develop actionable models, implement risk frameworks, and contribute to data-driven insights. This full-time position offers the opportunity to drive innovative solutions in a collaborative environment, with a focus on long-term project impact. Key Responsibilities Strategy Development: Design, test, and optimise quantitative trading strategies using price data, volatility measures, sentiment indicators, and macroeconomic variables. Modelling & Backtesting: Build robust forecasting models (e.g., time-series, LSTM/Transformer hybrids) and perform rigorous backtesting to ensure reliability. Risk Frameworks: Develop and integrate risk-control tools (e.g., Value-at-Risk, drawdown limits, exposure thresholds) while aligning with compliance best practices. Data Integration: Aggregate and analyse multi-source data (news feeds, order-book snapshots, economic calendars) for model inputs and enhancements. Mentorship: Provide ongoing guidance and knowledge-sharing sessions to educate non-technical team members, including the project owner, on forex fundamentals and quantitative concepts. Collaboration & Documentation: Work with development teams to integrate model outputs into systems; maintain clear, comprehensive documentation of assumptions, processes, and results. Required Qualifications 3–5 years of experience in quantitative research, preferably in forex or systematic trading. Hands-on experience with backtesting platforms and statistical validation techniques. Strong understanding of FX market dynamics, macro drivers, and risk modelling. Excellent communication and teaching skills to mentor non-experts effectively. Bachelor’s or Master’s degree in Quantitative Finance, Mathematics, Statistics, or a related field. Verifiable 3-year portfolio showcasing prior models, backtests, or strategy reports. Preferred Skills Experience across multiple forex instruments or asset classes. Proficiency in Python or R (e.g., pandas, NumPy, statsmodels, scikit-learn). Familiarity with regulatory frameworks (e.g., RBI/FEMA). Exposure to tools like QuantConnect, MLflow, or similar platforms.

TrueID is at the forefront of digital transformation in the realm of biometric-based identity management, emphasizing the pivotal role of digital identities in modern-day businesses such as fintech, banking, and e-commerce. Our team members are given exceptional opportunities to work on cutting-edge projects, pushing the boundaries of digital transformation in identity management in the banking, fintech domains and ecommerce domains. At TrueID, we offer an inspiring work environment that fosters innovation and creativity, allowing team members to contribute to groundbreaking digital identity projects. All TrueID employees are engaged on overseas projects giving them exposure to diverse cultures and perspectives enhancing their professional growth in an increasingly digitalized world. TrueID's commitment to driving digital innovation has made the company a thought leader in shaping the future landscape of digital transformation to manage digital identities. Job Description: TrueID (www.trueid.in) is looking to hire a talented Data Scientist with 3+ years of experience to join our team and develop high-impact, scalable forecasting and predictive analytics solutions. You will leverage advanced AI/ML models, build data pipelines, and be part of the productization team responsible for delivering robust solutions for our SaaS platform serving B2B clients. ## Responsibilities • Design, develop, and validate time series forecasting and predictive analytics models (Classical, Machine Learning and Neural Network based models) • Analyse and integrate diverse datasets from internal and external sources, including APIs and web-scraped data. • Engineer features, perform data cleaning, and build robust data pipelines. • Work within the productization team to deploy models as APIs and integrate them into our SaaS product. • Implement and monitor model accuracy, retraining, and drift detection pipelines. • Build cost-benefit analysis models, scenario simulation tools, and recommendation engines. • Apply NLP and GenAI techniques to analyze unstructured data and extract actionable insights. • Generate reports and insights for business stakeholders. • Contribute to technical documentation and knowledge transfer. Requirements • Bachelor’s/master's in computer science, Statistics, Mathematics, or related field. • 3+ years of experience in data science roles, with a strong record of production-grade forecasting or predictive analytics projects. • Proficient in Python and key libraries (pandas, numpy, scikit-learn, statsmodels, Prophet, TensorFlow/PyTorch, etc.). • Hands-on experience with ML pipeline orchestration (Airflow, MLflow, or similar). • Experience with GenAI/NLP and unstructured data. • Familiarity with cloud platforms (AWS/GCP/Azure) and REST APIs. • Experience with SQL and databases. • Strong problem-solving, communication, and collaboration skills. • Exposure to SaaS/Subscription-based product environments is a plus. ## What We Offer • Opportunity to own and deliver a greenfield AI/ML forecasting platform. • Fast-paced, collaborative, and flexible work environment. • Competitive compensation and potential for long-term growth. We are looking for immediate joiners Interested candidates can send your resume to sarika.m@trueid.in

Ciklum is looking for a Senior Data Scientist to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Scientist, become a part of a cross-functional development team working for A healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. Our client is a leader in SaaS technology for healthcare, They offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With their expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Work directly with business analysts and data engineers to understand and support their use cases Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute to unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! 5+ years of development of Data Science solutions with a proven track record of leveraging analytics to drive significant business impact Bachelor's/Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics or related field Proven ability to relate and solve business problems through machine learning and statistics 4+ years of experience applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems Understanding of advantages and drawbacks of machine learning algorithms as well as their usage constraints including performance 4+ years of experience in Python development of machine learning solutions and statistical analysis: Pandas, SciPy, Scikit-learn, XGBoost, LightGBM, and/or statsmodels, imbalanced-learn libraries and ML libraries like scikit-learn, TensorFlow, PyTorch, data wrangling and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn Experience in working with large-scale datasets, including time series and healthcare data Experience with NLP, deep learning and GenAI Experience diving into data to consider hidden patterns and conducting error analysis 2+ years experience in data visualization: Power BI, Tableau, and/or Python libraries like Matplotlib and Seaborn Experience with SQL for data processing, data manipulation, sampling, reporting 3+ years experience creating/maintaining of OOP Machine Learning solutions Understanding of CRISP-ML(Q) / TDSP concept 1+ year of experience with MLOps: integration of reliable Machine Learning Pipelines in Production, Docker, containerization, orchestration 2+ years of experience with Clouds (AWS, Azure, GCP) and Clouds AI And ML Services(e.g. Amazon Sage Maker, Azure ML) Excellent time and project management skills, with the ability to manage detailed work and communicate project status effectively to all levels Desirable: Probability Theory & Statistics knowledge and intuition as well as understanding of Mathematics behind Machine Learning 1+ year of experience in Deep Learning solution development with Tensorflow or PyTorch libraries Data Science / Machine Learning certifications, or research experience with papers being published Experience with Kubernetes Experience with Databricks, Snowflake platforms 1+ year of BigData experience, i.e. Hadoop / Spark Experience with No-SQL, and/or columnar/graph databases What`s in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally, and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: India is a strategic growth market for Ciklum. Be a part of a big story created right now. Let’s grow our delivery center in India together! Boost your skills and knowledge: create and innovate with like-minded professionals — all of that within a global company with a local spirit and start-up soul. Supported by Recognize Partners and expanding globally, we will engineer the experiences of tomorrow! Be bold, not bored! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.

Avant de postuler un emploi, slectionnez votre langue de prfrence parmi les options disponibles en haut droite de cette page. Dcouvrez votre prochaine opportunit au sein d&aposune organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunits innovantes, dcouvrez notre culture enrichissante et travaillez avec des quipes talentueuses qui vous poussent vous dvelopper chaque jour. Nous savons ce quil faut faire pour diriger UPS vers l&aposavenir : des personnes passionnes dotes dune combinaison unique de comptences. Si vous avez les qualits, de la motivation, de l&aposautonomie ou le leadership pour diriger des quipes, il existe des postes adapts vos aspirations et vos comptences d&aposaujourd&aposhui et de demain. Job Summary Fiche de poste : UPS Enterprise Data Analytics team is looking for a talented and motivated Data Scientist to use statistical modelling, state of the art AI tools and techniques to solve complex and large-scale business problems for UPS operations. This role would also support debugging and enhancing existing AI applications in close collaboration with the Machine Learning Operations team. This position will work with multiple stakeholders across different levels of the organization to understand the business problem, develop and help implement robust and scalable solutions. You will be in a high visibility position with the opportunity to interact with the senior leadership to bring forth innovation within the operational space for UPS. Success in this role requires excellent communication to be able to present your cutting-edge solutions to both technical and business leaderships. Responsibilities Become a subject matter expert on UPS business processes and data to help define and solve business needs using data, advanced statistical methods and AI Be actively involved in understanding and converting business use cases to technical requirements for modelling. Query, analyze and extract insights from large-scale structured and unstructured data from different data sources utilizing different platforms, methods and tools like BigQuery, Google Cloud Storage, etc. Understand and apply appropriate methods for cleaning and transforming data, engineering relevant features to be used for modelling. Actively drive modelling of business problem into ML/AI models, work closely with the stakeholders for model evaluation and acceptance. Work closely with the MLOps team to productionize new models, support enhancements and resolving any issues within existing production AI applications. Prepare extensive technical documentation, dashboards and presentations for technical and business stakeholders including leadership teams. Qualifications Expertise in Python, SQL. Experienced in using data science-based packages like scikit-learn, numpy, pandas, tensorflow, keras, statsmodels, etc. Strong understanding of statistical concepts and methods (like hypothesis testing, descriptive stats, etc.), machine learning techniques for regression, classification, clustering problems, including neural networks and deep learning. Proficient in using GCP tools like Vertex AI, BigQuery, GCS, etc. for model development and other activities in the ML lifecycle. Strong ownership and collaborative qualities in the relevant domain. Takes initiative to identify and drive opportunities for improvement and process streamline. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Bonus Qualifications NLP, Gen AI, LLM knowledge/experience Knowledge of Operations Research methodologies and experience with packages like CPLEX, PULP, etc. Knowledge and experience in MLOps principles and tools in GCP. Experience working in an Agile environment, understanding of Lean Agile principles. Type De Contrat en CDI Chez UPS, galit des chances, traitement quitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachs. Show more Show less

OSP India, now part of one.O. OSP India - Hyderabad Private Limited takes a significant step forward in its evolution by becoming part of Otto Group one.O, the new central, high-performance partner for strategy consulting and technology for the Otto Group. This strengthens our mission to deliver innovative IT solutions for commerce and logistics, combining experience, technology, and a global vision to lead the digital future. OSP India’s name transition OSP India will adopt the name Otto Group one.O in the future, following our headquarters' rebranding. We want to assure you that this brand name change will not affect your role, job security, or our company culture. This transition aligns us with our global teams in Germany, Spain, and Taiwan and enhances our collaboration moving forward We are looking for a Data Scientist to join our dynamic team. In this role, you will take end-to-end responsibility for developing, deploying, and optimizing machine learning models that support marketing, budgeting, and business decision-making. You will work closely with colleagues across departments, translating data-driven insights into actionable strategies with measurable business impact. Responsibilities Design and develop machine learning models for budget allocation, marketing performance optimization, and business management . Apply classic ML methods such as XGBoost, regression models, and curve fitting to solve business challenges. Take ownership of the end-to-end data science lifecycle , from data analysis and model development to deployment and production operations. Continuously monitor, evaluate, and optimize existing models for performance and scalability. Collaborate within the data science team , working flexibly across both data science and data engineering tasks. Advise and support business stakeholders with actionable recommendations derived from model results. Requirements Strong proficiency in Python and SQL (especially using SQL within Python workflows). Expertise in machine learning algorithms (e.g., XGBoost, regression models) and solid understanding of statistical principles. Practical experience with Python data science libraries (e.g., pandas, NumPy, scikit-learn, SciPy, statsmodels, XGBoost). Ability to write and maintain production-ready code with best practices in software engineering. Experience deploying and operating models in production environments (MLOps mindset). Familiarity with cloud environments and Infrastructure as Code (IaC) concepts. Pragmatic, solution-oriented mindset with strong focus on delivering business impact . Nice-to-Have Experience with: Terraform Google Cloud Platform (GCP) Snowflake GitHub (version control, CI/CD pipelines) Knowledge of marketing and pricing processes and related models. Proficiency in German (minimum C1) for advising and collaborating with non-technical stakeholders. Benefits Flexible Working Hours: Support for work-life balance through adaptable scheduling. Comprehensive Medical Insurance: Coverage for employees and families, ensuring access to quality healthcare. Hybrid Work Model: Blend of in-office collaboration and remote work opportunities, with four days a week in the office.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Analytics Purpose of the role We are looking for an experienced and strategic Senior Data Scientist to join our high-impact analytics team in the FMCG sector. In this role, you will lead the development of Resource Allocation Model that directly influences how we allocate marketing budgets, drive consumer demand, and enhance retail performance. This is a hands-on technical role requiring deep expertise in data science, machine learning, and business acumen to solve complex problems in a fast-paced, consumer-centric environment. Key tasks & accountabilities Develop, validate, and scale Resource Allocation Model to quantify the impact of Sales & Marketing packages on sales and brand performance. Implement optimization algorithms to inform budget allocation and maximize marketing ROI across geographies and product portfolios. Lead the development of predictive and prescriptive models to support commercial, trade, and brand teams. Leverage PySpark to manage and transform large-scale retail, media, and consumer datasets. Build and deploy ML models using Python and TensorFlow, ensuring robust model performance and business relevance. Collaborate with marketing, category, and commercial stakeholders to embed insights into strategic decisions. Use GitHub Actions for version control, CI/CD workflows, DVC for data versioning, and reproducible ML pipelines. Present findings through compelling data storytelling and dashboards for senior leadership. Mentor junior data scientists and contribute to a culture of innovation and excellence. Qualifications, Experience, Skills Level Of Educational Attainment Required Master’s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics). Previous Work Experience 5+ years of hands-on experience in data science, preferably within the FMCG or retail domain. Skills Required Proven track record of building and deploying Marketing Mix Models and/or media attribution models. Deep knowledge of optimization techniques (e.g., linear programming, genetic algorithms, constrained optimization). Advanced programming skills in Python (pandas, scikit-learn, statsmodels, TensorFlow). Expertise in PySpark for distributed data processing and transformation. Experience with Git and GitHub Actions for collaborative development and CI/CD pipelines. Strong grounding in statistics, experimental design (A/B testing), and causal inference. Master’s or PhD in a quantitative discipline (e.g., Data Science, Statistics, Computer Science, Economics). Preferred Skills Required Experience working with syndicated retail data (e.g., Nielsen, IRI) and media data (e.g., Meta, Google Ads). Exposure to cloud platforms like AWS, GCP, or Azure. Familiarity with FMCG metrics (e.g., brand health, share of shelf, volume uplift, promotional ROI). Ability to translate complex models into business actions in cross-functional environments. And above all of this, an undying love for beer! We dream big to create future with more cheers

OSP India, now part of one.O. OSP India - Hyderabad Private Limited takes a significant step forward in its evolution by becoming part of Otto Group one.O, the new central, high-performance partner for strategy consulting and technology for the Otto Group. This strengthens our mission to deliver innovative IT solutions for commerce and logistics, combining experience, technology, and a global vision to lead the digital future. OSP India’s name transition OSP India will adopt the name Otto Group one.O in the future, following our headquarters' rebranding. We want to assure you that this brand name change will not affect your role, job security, or our company culture. This transition aligns us with our global teams in Germany, Spain, and Taiwan and enhances our collaboration moving forward We are looking for a Data Scientist to join our dynamic team. In this role, you will take end-to-end responsibility for developing, deploying, and optimizing machine learning models that support marketing, budgeting, and business decision-making. You will work closely with colleagues across departments, translating data-driven insights into actionable strategies with measurable business impact. Responsibilities Design and develop machine learning models for budget allocation, marketing performance optimization, and business management . Apply classic ML methods such as XGBoost, regression models, and curve fitting to solve business challenges. Take ownership of the end-to-end data science lifecycle , from data analysis and model development to deployment and production operations. Continuously monitor, evaluate, and optimize existing models for performance and scalability. Collaborate within the data science team , working flexibly across both data science and data engineering tasks. Advise and support business stakeholders with actionable recommendations derived from model results. Requirements Strong proficiency in Python and SQL (especially using SQL within Python workflows). Expertise in machine learning algorithms (e.g., XGBoost, regression models) and solid understanding of statistical principles. Practical experience with Python data science libraries (e.g., pandas, NumPy, scikit-learn, SciPy, statsmodels, XGBoost). Ability to write and maintain production-ready code with best practices in software engineering. Experience deploying and operating models in production environments (MLOps mindset). Familiarity with cloud environments and Infrastructure as Code (IaC) concepts. Pragmatic, solution-oriented mindset with strong focus on delivering business impact . Nice-to-Have Experience with: Terraform Google Cloud Platform (GCP) Snowflake GitHub (version control, CI/CD pipelines) Knowledge of marketing and pricing processes and related models. Proficiency in German (minimum C1) for advising and collaborating with non-technical stakeholders. Benefits · Flexible Working Hours: Support for work-life balance through adaptable scheduling. · Comprehensive Medical Insurance: Coverage for employees and families, ensuring access to quality healthcare. · Hybrid Work Model: Blend of in-office collaboration and remote work opportunities, with four days a week in the office.

Who are we: Turbostart is not just a startup fund and accelerator — we are a catalyst for builders and a powerhouse of innovation. Our mission is to propel early-stage startups into the future by providing unparalleled support in technology, marketing, strategy, and beyond. We're in the business of building tomorrow's leaders — today. After 5 years and 5 funds, we have supported over 50 startups spanning sectors, stages, and geographies — and this is just the beginning! Turbostart spans India, the Middle East, the US, and Singapore — giving you the opportunity to gain exposure and see the impact of your work ripple across regions. Turbostart has also launched 5 Centers of Excellence across Tech, Marketing, Sales, UI/UX, and Investment Banking to support the growth of our startup network. Know more about us: https://turbostart.co Turbostart Technology Development Centre (T2C) is a leading Center of Excellence within the Turbostart ecosystem. T2C plays a pivotal role by providing cutting-edge technology solutions and expertise to our portfolio companies and by building new-age software products from the ground up. Know more about us: https://tsquaredc.com What we are looking for: Role: Data Scientist We are looking for a passionate and experienced Data Scientist to join our team. You will be responsible for developing machine learning models, generating insights from data, and delivering data-driven solutions to real-world startup problems. Location: Bengaluru, Karnataka, India Experience Required: 2-3 years What you’ll do: Build, evaluate, and deploy ML models for classification, regression, clustering, and forecasting. Apply algorithms such as Linear/Logistic Regression, Random Forest, XGBoost, K-Means, and ARIMA/SARIMA. Perform time series forecasting and anomaly detection. Analyze large datasets to uncover trends and actionable insights. Work with tools and libraries like scikit-learn, statsmodels, XGBoost, TensorFlow/PyTorch, and Google Cloud Platform (BigQuery, AI Platform). Collaborate with data engineers, product teams, and stakeholders to define and implement analytical solutions. Present data-driven insights in a clear, structured manner to both technical and non-technical audiences. Continuously optimize models and stay up-to-date with the latest techniques in machine learning and data science. Our ideal candidate: Strong foundation in statistics, machine learning, and data mining. Proven experience in both supervised and unsupervised learning techniques. Hands-on experience with time series analysis and forecasting using models like ARIMA/SARIMA. Proficient in Python, SQL, and ML libraries such as pandas, NumPy, scikit-learn, statsmodels. Familiarity with deep learning frameworks like TensorFlow or PyTorch. Experience working with cloud platforms, preferably Google Cloud Platform (GCP) . Comfortable with model evaluation techniques like cross-validation, ROC-AUC, precision-recall, etc. Experience in handling large-scale datasets and writing efficient data pipelines. Strong problem-solving skills, attention to detail, and ability to work in a fast-paced startup environment. Excellent communication and collaboration skills. Why join us Work on cutting-edge projects with early-stage startups across sectors like EdTech, FinTech, MarketingTech, Logistics, Sustainability, and Media. Be part of a global innovation ecosystem, collaborating with startup founders, product managers, and domain experts. Continuous learning & mentorship from top-tier tech experts across Turbostart’s Centres of Excellence. Access to the latest tools, technologies, and frameworks in the data and AI space. High-impact role where your work directly contributes to startup growth and success. Enjoy a dynamic, collaborative, and inclusive work culture that values innovation and experimentation.

TrueID is at the forefront of digital transformation in the realm of biometric-based identity management, emphasizing the pivotal role of digital identities in modern-day businesses such as fintech, banking, and e-commerce. Our team members are given exceptional opportunities to work on cutting-edge projects, pushing the boundaries of digital transformation in identity management in the banking, fintech domains and ecommerce domains. At TrueID, we offer an inspiring work environment that fosters innovation and creativity, allowing team members to contribute to groundbreaking digital identity projects. All TrueID employees are engaged on overseas projects giving them exposure to diverse cultures and perspectives enhancing their professional growth in an increasingly digitalized world. TrueID's commitment to driving digital innovation has made the company a thought leader in shaping the future landscape of digital transformation to manage digital identities. Job Description: TrueID ( www.trueid.in ) is looking to hire a talented Data Scientist with 3+ years of experience to join our team and develop high-impact, scalable forecasting and predictive analytics solutions. You will leverage advanced AI/ML models, build data pipelines, and be part of the productization team responsible for delivering robust solutions for our SaaS platform serving B2B clients. ## Responsibilities •⁠ ⁠Design, develop, and validate time series forecasting and predictive analytics models (Classical, Machine Learning and Neural Network based models) •⁠⁠Analyse and integrate diverse datasets from internal and external sources, including APIs and web-scraped data. •⁠Engineer features, perform data cleaning, and build robust data pipelines. •⁠Work within the productization team to deploy models as APIs and integrate them into our SaaS product. •⁠⁠Implement and monitor model accuracy, retraining, and drift detection pipelines. •⁠⁠Build cost-benefit analysis models, scenario simulation tools, and recommendation engines. •⁠⁠Apply NLP and GenAI techniques to analyze unstructured data and extract actionable insights. •⁠Generate reports and insights for business stakeholders. •⁠⁠Contribute to technical documentation and knowledge transfer. Requirements •⁠ ⁠Bachelor’s/master's in computer science, Statistics, Mathematics, or related field. •⁠3+ years of experience in data science roles, with a strong record of production-grade forecasting or predictive analytics projects. •⁠⁠Proficient in Python and key libraries (pandas, numpy, scikit-learn, statsmodels, Prophet, TensorFlow/PyTorch, etc.). •⁠⁠Hands-on experience with ML pipeline orchestration (Airflow, MLflow, or similar). •⁠Experience with GenAI/NLP and unstructured data. •⁠⁠Familiarity with cloud platforms (AWS/GCP/Azure) and REST APIs. •⁠Experience with SQL and databases. •⁠Strong problem-solving, communication, and collaboration skills. •⁠⁠Exposure to SaaS/Subscription-based product environments is a plus. ## What We Offer •⁠Opportunity to own and deliver a greenfield AI/ML forecasting platform. •⁠Fast-paced, collaborative, and flexible work environment. •⁠Competitive compensation and potential for long-term growth. We are looking for immediate joiners Interested candidates can send your resume to sarika.m@trueid.in

Job Title: Senior Data Scientist Experience: 6+ Years Location: Remote Employment Type: Full-Time Job Summary: Senior Data Scientist, Media Mix Modeling (MMM) & Multi-Touch Attribution (MTA) Design and deploy MMM and MTA frameworks that drive marketing ROI decisions across OTT, CTV, digital, and offline channels—end‑to‑end—from data ingestion to executive dashboard delivery. Core Responsibilities Architect MMM & MTA models (Bayesian/adstock models, probabilistic Markov chains, logistic/Shapley attribution) aligned to omni‑channel objectives. Analyze high-volume structured and unstructured sources (ad logs, CRM, OTT/CTV, clickstream, e‑mail/sales data). Automate models and operable pipelines via Python/R/SQL and scriptable workflows (LLMs/agents preferred). Deliver clear dashboards and strategic insights for AdSales, Finance, and Analytics stakeholders via Power BI/Looker/Tableau. Required Skills & Experience 6+ years in data science or analytics, with ≥3 years AdTech/AdSales exposure and demonstrable MMM/MTA modeling. Expert in Python (pandas/statsmodels, PyMC3) or R, SQL, ETL tools, and working knowledge of big‑data platforms (Spark, Hadoop, AWS/GCP). Strong grounding in causal inference, uplift modeling, experimental design (A/B, geo/synthetic controls), and model validation. Proficient at translating analytics into business insights and remote collaboration across time zones

You will be joining our team as a Data Scientist where you will be responsible for developing data-backed strategies for demand forecasting, price optimization, and demand elasticity modeling. Your key responsibilities will include: - Developing advanced time-series or machine learning models to predict demand at SKU, category, and regional levels by analyzing historical sales, seasonality, promotions, and market trends. - Building dynamic pricing models to determine optimal price points considering competitor analysis, elasticity, and inventory positions to enhance revenue and margins. - Analyzing the impact of price changes on consumer demand across segments using statistical techniques and machine learning. You will work closely with product, merchandising, finance, and marketing teams to incorporate insights into business decisions. Additionally, you will automate data pipelines, create dashboards for stakeholders to visualize forecasts and pricing scenarios, and conduct A/B testing and simulation modeling to validate forecasting and pricing strategies. To be successful in this role, you should have: - A Bachelor's or Master's degree in Data Science, Statistics, Economics, Applied Mathematics, or a related field. - At least 3 years of experience in retail analytics, pricing science, or demand forecasting. - Proficiency in Python/R, SQL, and relevant libraries such as Scikit-learn, Statsmodels, Prophet, and XGBoost. - Knowledge of econometrics, elasticity models, and optimization techniques. - Strong communication skills to convey complex insights to non-technical stakeholders. Preferred qualifications include experience in the fashion, footwear, or consumer goods industry, familiarity with supply chain and inventory dynamics in retail, and knowledge of reinforcement learning or revenue management frameworks.,

About the Role: We are seeking a data-driven and analytical Data Scientist to join our teamThe ideal candidate will play a critical role in shaping data-backed strategies for demand forecasting, price optimization, and demand elasticity modeling across product lines and sales channels. Key Responsibilities: Demand Forecasting: Develop and maintain advanced time-series or ML models to predict demand at SKU, category, and regional levels using historical sales, seasonality, promotions, and market trends. Price Optimization: Build dynamic pricing models to identify optimal price points, incorporating competitor analysis, elasticity, and inventory positions to maximize revenue and margins. Demand Elasticity Modeling: Analyze how price changes affect consumer demand across segments using statistical techniques and machine learning. Collaborate with product, merchandising, finance, and marketing teams to integrate insights into business decisions. Automate data pipelines and build dashboards for stakeholders to visualize forecasts and pricing scenarios. Conduct A/B testing and simulation modeling to validate forecasting and pricing strategies. Conduct A/B testing and simulation modeling to validate forecasting and pricing strategies. Required Skills & Experience: Bachelors or Masters degree in Data Science, Statistics, Economics, Applied Mathematics, or related fields. 3+ years of experience in retail analytics, pricing science, or demand forecasting. Proficient in Python/R, SQL, and relevant libraries (e.g., Scikit-learn, Statsmodels, Prophet, XGBoost). cloud platform - Azure. Strong understanding of econometrics, elasticity models, and optimization techniques. Excellent communication skills with the ability to present complex insights to non-technical stakeholders. Preferred Qualifications: Experience in fashion, footwear, or consumer goods industry. Familiarity with supply chain and inventory dynamics in retail. Knowledge of reinforcement learning or revenue management frameworks. Show more Show less

You are an exceptional and highly motivated Lead Data Scientist with experience in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field. You will spearhead the design, development, and deployment of an automotive OEMs next-generation Intelligent Forecast Application. This pivotal role will leverage cutting-edge machine learning, deep learning, and statistical modeling techniques to build a robust, scalable, and accurate forecasting system crucial for strategic decision-making across the automotive value chain, including demand planning, production scheduling, inventory optimization, predictive maintenance, and new product introduction. As a recognized expert in advanced forecasting methodologies, you will possess a strong foundation in data engineering and MLOps principles. You will demonstrate a proven ability to translate complex research into tangible, production-ready applications within a dynamic industrial environment. This role demands not only deep technical expertise but also a visionary approach to leveraging data and AI to drive significant business impact for a leading automotive OEM. **Role & Responsibilities:** **Strategic Leadership & Application Design:** Lead the end-to-end design and architecture of the Intelligent Forecast Application, defining its capabilities, modularity, and integration points with existing enterprise systems. Develop a strategic roadmap for forecasting capabilities, identifying opportunities for innovation and the adoption of emerging AI/ML techniques. Translate complex business requirements and automotive industry challenges into well-defined data science problems and technical specifications. **Advanced Model Development & Research:** Design, develop, and validate highly accurate and robust forecasting models using a variety of advanced techniques including Time Series Analysis, Machine Learning, Deep Learning, Probabilistic Forecasting, and Hierarchical & Grouped Forecasting. Incorporate diverse data sources and conduct extensive exploratory data analysis to identify patterns and key features influencing automotive forecasts. Stay abreast of the latest academic research and industry advancements in forecasting, machine learning, and AI. **Application Development & Deployment (MLOps):** Architect and implement scalable data pipelines for ingestion, cleaning, transformation, and feature engineering of large, complex automotive datasets. Develop robust code for model training, inference, and deployment within a production environment. Implement MLOps best practices for model versioning, monitoring, retraining, and performance management. Collaborate closely with cross-functional teams to ensure seamless integration, deployment, and maintenance of the application. **Performance Evaluation & Optimization:** Define and implement rigorous evaluation metrics for forecasting accuracy and business impact. Perform A/B testing and comparative analyses to continuously improve forecasting performance. Identify and mitigate sources of bias and uncertainty in forecasting models. **Collaboration & Mentorship:** Work cross-functionally with various business units to understand their forecasting needs and integrate solutions. Communicate complex technical concepts and model insights clearly to technical and non-technical stakeholders. Provide technical leadership and mentorship to junior data scientists and engineers. **Requirements:** **Qualifications & Skills:** Education in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a closely related field. 5+ years of hands-on experience in a Data Scientist or Machine Learning Engineer role. Technical proficiency in Python, R, Machine Learning/Deep Learning Frameworks, Forecasting Specific Libraries, Data Warehousing & Big Data Technologies, Cloud Platforms, MLOps, Data Visualization, and strong analytical skills. **Preferred Qualifications:** Publications in top-tier conferences or journals, experience with real-time forecasting systems, familiarity with automotive data types, experience with distributed version control systems, and knowledge of agile development methodologies. **Soft Skills:** Exceptional communication, collaboration, intellectual curiosity, strategic thinking, mentorship, resilience, and adaptability. This role offers an unparalleled opportunity to make a significant impact on the strategic direction and operational efficiency of a global automotive leader, contributing directly to the future of intelligent manufacturing and supply chain management. If you are looking to play a pivotal role in shaping a rapidly growing venture studio, thrive in a collaborative, innovative environment, access professional development opportunities, and enjoy competitive benefits, then you may be a great fit for this position.,

We are looking for an experienced AI/ML Architect to spearhead the design, development, and deployment of cutting-edge AI and machine learning systems. As the ideal candidate, you should possess a strong technical background in Python and data science libraries, profound expertise in AI and ML algorithms, and hands-on experience in crafting scalable AI solutions. This role demands a blend of technical acumen, leadership skills, and innovative thinking to enhance our AI capabilities. Your responsibilities will include identifying, cleaning, and summarizing complex datasets from various sources, developing Python/PySpark scripts for data processing and transformation, and applying advanced machine learning techniques like Bayesian methods and deep learning algorithms. You will design and fine-tune machine learning models, build efficient data pipelines, and leverage distributed databases and frameworks for large-scale data processing. In addition, you will lead the design and architecture of AI systems, with a focus on Retrieval-Augmented Generation (RAG) techniques and large language models. Your qualifications should encompass 5-7 years of total experience with 2-3 years in AI/ML, proficiency in Python and data science libraries, hands-on experience with PySpark scripting and AWS services, strong knowledge of Bayesian methods and time series forecasting, and expertise in machine learning algorithms and deep learning frameworks. You should also have experience in structured, unstructured, and semi-structured data, advanced knowledge of distributed databases, and familiarity with RAG systems and large language models for AI outputs. Strong collaboration, leadership, and mentorship skills are essential. Preferred qualifications include experience with Spark MLlib, SciPy, StatsModels, SAS, and R, a proven track record in developing RAG systems, and the ability to innovate and apply the latest AI techniques to real-world business challenges. Join our team at TechAhead, a global digital transformation company known for AI-first product design thinking and bespoke development solutions. With over 14 years of experience and partnerships with Fortune 500 companies, we are committed to driving digital innovation and delivering excellence. At TechAhead, you will be part of a dynamic team that values continuous learning, growth, and crafting tailored solutions for our clients. Together, let's shape the future of digital innovation worldwide!,

At Oracle Cloud Infrastructure (OCI), the future of cloud computing for Enterprises is being shaped by a diverse team of creators and innovators. Acting with the speed and mentality of a start-up, we maintain the scale and customer-focus of the world's leading enterprise software company. Our values form the bedrock of OCI, guiding us towards achieving excellence. We are dedicated to equity, inclusion, and respect for all individuals. Committed to the greater good in both our products and actions, we prioritize continuous learning and personal growth opportunities. Within our team, we challenge each other to transcend past achievements and collectively build a better future. As part of the AI Data organization, you will engage with fascinating challenges at the convergence of artificial intelligence and cutting-edge cloud infrastructure. Our focus involves developing cloud services utilizing Large Language Models (LLMs) and other generative models to create synthetic data for various applications including text, speech, vision, and multi-modal scenarios. Additionally, we are establishing ML benchmarking standards and frameworks to ensure the highest quality across verticals such as Healthcare and Fusion. You will operate at the IC2/IC3 career level with the following responsibilities: - Design and construct world-class Generative AI Models in text, vision, and multimodal settings for generating synthetic data. - Research and implement cutting-edge techniques such as Fine-tuning and RLHF to align Generative models with specific problem domains. - Develop tools for data acquisition, cleaning, augmentation, model training, and visualization. - Evaluate and implement ML/Deep learning/GenAI models from research papers and other public resources. - Optimize models for production usage and assist in productizing generation scenarios. - Create production code for feature processing, model prediction, serving, and monitoring in real-time and batch scenarios. - Engage in the entire software lifecycle including development, testing, CI, and production operations. - Strike a balance between product feature development and production operational considerations. Minimum Qualifications for this role include: - Ph.D. degree or Masters degree or equivalent experience in computer science, artificial intelligence, machine learning, operations research, or related technical field. - 5+ years with Masters or 3+ years with PhD of applying machine learning to solve real-world problems in industry. - Proficiency in Python or R. - Proficiency with at least one deep learning library (Pytorch, Tensorflow, or Keras) for building and deploying DNN models in production. - Expertise in NLP, Transformers, Large Language Models, and hugging face library. Optimization of LLM training and serving. - Experience in statistical models, Machine Learning solutions, and large scale Deep learning model development and serving across different data domains. - Proficiency in traditional ML libraries like scikit-learn, statsmodels, and pandas. - Track record of delivering large-scale ML solutions for complex business challenges. - Experience in production operations and ensuring quality code deployment with the ability to troubleshoot issues effectively. - Strong communication skills for articulating technical ideas through verbal and written means. At Oracle, we are committed to fostering an inclusive workforce that values diverse perspectives and backgrounds. Our dedication to innovation is fueled by hearing every voice, inspiring us to surpass previous achievements. Operating with integrity for over 40 years, we collaborate with industry leaders across various sectors. We prioritize work-life balance through a competitive suite of employee benefits designed on the principles of fairness and consistency. Our comprehensive benefits package includes flexible medical, life insurance, and retirement options. Employees are encouraged to contribute to their communities through volunteer programs. We are devoted to integrating individuals with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation due to a disability, please contact us at +1 888 404 2494, option one. Disclaimer: Oracle is an Equal Opportunity Employer in the United States.,

Locations : Bengaluru | Gurgaon Who We Are Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Are you passionate about developing socially and ethically responsible AI systems? Are you excited by the prospect of supporting projects that apply cutting-edge AI and GenAI models to solve real-world problems? Imagine working with the BCG Responsible AI team, where you can develop and apply innovative tools for testing and evaluating GenAI products. Your daily work would involve designing and implementing testing and evaluation frameworks to help improve product quality and ensure AI systems are safe, secure, and equitable. Join a team dedicated to exploring creative solutions and pioneering advancements in Responsible AI. Your work will influence the development of GenAI applications, focusing on transparency, accountability, and trustworthiness. On the team, you'll collaborate with brilliant minds and make a tangible impact on shaping the future of AI, ensuring it meets the highest standards for responsibility and effectiveness. You will have the opportunity to support a wide variety of projects, spanning use cases, technologies, industries, and clients. Embrace the challenge of working at the intersection of cutting-edge technology, ethical innovation, and real-world applications. The Responsible AI Applied Scientist plays a critical role in the BCG Responsible AI team’s safety testing and red teaming efforts, working in conjunction with our AI and GenAI product teams to ensure alignment with our Responsible AI policy, principles, and standards, and to support the design, continuous improvement, and execution of the overall Responsible AI program at BCG. The Responsible AI Applied Scientist will work with a diverse set of stakeholders to: Develop tools and techniques to scale and accelerate AI risk assessment and measurement across BCG and our clients Collaborate with product teams to influence quality and risk measurement and mitigations in AI/GenAI products through manual efforts and scalable, quantitative approaches Research new and emerging threats and measurement/evaluation approaches to ensure our approaches stay on the cutting-edge Work with small technical teams executing risk assessment and measurement on AI/GenAI products Train and mentor technical practitioners on measurements and evaluation approaches for GenAI products Remain up to date on emerging frameworks, standards, and technical approaches, and related issues by participating in workshops, reading professional publications, maintaining personal networks, and participating in professional organizations What You'll Bring Ideal candidates will have a PhD in the social sciences field and at least 3 years of professional data science or quantitative research experience; prior professional services experience is a plus Ability to think critically about ethical, social, and business risks posed by AI systems Passion for building things and comfort working with modern data science development tools Experience designing and analyzing experiments using advanced statistical methods Experience and enthusiasm for working with Generative AI technologies Broad conceptual understanding of ML and AI paradigms (e.g., tree-based and gradient-boosted models, deep learning) Strong time management and organizational skills with the ability to prioritize and execute projects independently Team player mindset with an ability to work on diverse, cross-functional teams Strong written, verbal, and visual communication skills Ability to explain sophisticated data science concepts to non-technical audiences and translate analytical results into business implications #BCGXjob Technical Skills Must Have Experience Design and analysis of experiments Statistical modeling, including hierarchical linear models GenAI, including prompt engineering and programmatically interacting with foundation models through APIs, e.g., OpenAI, Anthropic, HuggingFace Python and the open-source data science ecosystem (e.g., Jupyter, pandas, scikit-learn, statsmodels, plotly, etc.) Version control with git Nice To Have Experience Experience with quantitative social science research. Familiarity with software engineering practices (e.g., unit testing, CI/CD). Exposure to cloud platforms (AWS, Azure, GCP) or SQL databases. Knowledge of AI risk management frameworks (e.g., NIST AI RMF) Developer tools including IDEs (e.g., VSCode, Pycharm), environment management (e.g., pyenv, conda, poetry, docker) Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

The role of AI Engineer at our company involves developing essential software features to ensure timely delivery while meeting the company's performance and quality standards. As an AI Engineer, you will be part of our team working on various data science initiatives, ranging from traditional analytics to cutting-edge AI applications. This position provides a great opportunity to gain experience in machine learning and artificial intelligence across different domains. Your core responsibilities will include developing and maintaining data processing pipelines using Python, creating and deploying GenAI applications through APIs and frameworks like semantic kernel and Langchain, conducting data analysis and generating insightful visualizations, collaborating with different teams to understand business requirements and implement AI solutions, contributing to the development and upkeep of language model evaluations and other AI applications, writing clean, documented, and tested code following best practices, and monitoring application performance while making necessary improvements. To qualify for this role, you should hold a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, along with at least 2 years of hands-on experience in applied data science and machine learning. Proficiency in Python programming, familiarity with LLMs and their applications, experience with cloud platforms such as AWS, Azure, or GCP, version control using Git, strong analytical and problem-solving skills, and knowledge of PyTorch and Deep Learning fundamentals are essential requirements. In terms of technical skills, you should have knowledge of LLMs and Generative AI platforms, be familiar with popular LLM APIs, have experience with frameworks like Semantic Kernel, LangChain, OpenAI, and Google Vertex AI, be proficient in programming languages including Python, SQL, and R, have expertise in libraries such as HuggingFace, Transformers, Matplotlib, and Seaborn, be skilled in ML/Statistics with tools like scikit-learn, statsmodels, and PyTorch, understand data processing with Pandas, NumPy, and PySpark, and have experience working with cloud platforms like AWS, GCP, or Azure. This full-time permanent position is located in Bengaluru and is with the Merkle brand.,

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Purpose of the role This role sits at the intersection of data science and revenue growth strategy, focused on developing advanced analytical solutions to optimize pricing, trade promotions, and product mix. The candidate will lead the end-to-end design, deployment, and automation of machine learning models and statistical frameworks that support commercial decision-making, predictive scenario planning, and real-time performance tracking. By leveraging internal and external data sources—including transactional, market, and customer-level data—this role will deliver insights into price elasticity, promotional lift, channel efficiency, and category dynamics. The goal is to drive measurable improvements in gross margin, ROI on trade spend, and volume growth through data-informed strategies. Key tasks & accountabilities Design and implement price elasticity models using linear regression, log-log models, and hierarchical Bayesian frameworks to understand consumer response to pricing changes across channels and segments. Build uplift models (e.g., Linear Regression, XGBoost for treatment effect) to evaluate promotional effectiveness and isolate true incremental sales vs. base volume. Develop demand forecasting models using ARIMA, SARIMAX, and Prophet, integrating external factors such as seasonality, promotions, and competitor activity, time-series clustering and k-means segmentation to group SKUs, customers, and geographies for targeted pricing and promotion strategies. Construct assortment optimization models using conjoint analysis, choice modeling, and market basket analysis to support category planning and shelf optimization. Use Monte Carlo simulations and what-if scenario modeling to assess revenue impact under varying pricing, promo, and mix conditions. Conduct hypothesis testing (t-tests, ANOVA, chi-square) to evaluate statistical significance of pricing and promotional changes. Create LTV (lifetime value) and customer churn models to prioritize trade investment decisions and drive customer retention strategies. Integrate Nielsen, IRI, and internal POS data to build unified datasets for modeling and advanced analytics in SQL, Python (pandas, statsmodels, scikit-learn), and Azure Databricks environments. Automate reporting processes and real-time dashboards for price pack architecture (PPA), promotion performance tracking, and margin simulation using advanced Excel and Python. Lead post-event analytics using pre/post experimental designs, including difference-in-differences (DiD) methods to evaluate business interventions. Collaborate with Revenue Management, Finance, and Sales leaders to convert insights into pricing corridors, discount policies, and promotional guardrails. Translate complex statistical outputs into clear, executive-ready insights with actionable recommendations for business impact. Continuously refine model performance through feature engineering, model validation, and hyperparameter tuning to ensure accuracy and scalability. Provide mentorship to junior analysts, enhancing their skills in modeling, statistics, and commercial storytelling. Maintain documentation of model assumptions, business rules, and statistical parameters to ensure transparency and reproducibility. Other Competencies Required Presentation Skills: Effectively presenting findings and insights to stakeholders and senior leadership to drive informed decision-making. Collaboration: Working closely with cross-functional teams, including marketing, sales, and product development, to implement insights-driven strategies. Continuous Improvement: Actively seeking opportunities to enhance reporting processes and insights generation to maintain relevance and impact in a dynamic market environment. Data Scope Management: Managing the scope of data analysis, ensuring it aligns with the business objectives and insights goals. Act as a steadfast advisor to leadership, offering expert guidance on harnessing data to drive business outcomes and optimize customer experience initiatives. Serve as a catalyst for change by advocating for data-driven decision-making and cultivating a culture of continuous improvement rooted in insights gleaned from analysis. Continuously evaluate and refine reporting processes to ensure the delivery of timely, relevant, and impactful insights to leadership stakeholders while fostering an environment of ownership, collaboration, and mentorship within the team. Business Environment Main Characteristics: Work closely with Zone Revenue Management teams. Work in a fast-paced environment. Provide proactive communication to the stakeholders. This is an offshore role and requires comfort with working in a virtual environment. GCC is referred to as the offshore location. The role requires working in a collaborative manner with Zone/country business heads and GCC commercial teams. Summarize insights and recommendations to be presented back to the business. Continuously improve, automate, and optimize the process. Geographical Scope: Europe Qualifications, Experience, Skills Level of educational attainment required: Bachelor or Post-Graduate in the field of Business & Marketing, Engineering/Solution, or other equivalent degree or equivalent work experience. MBA/Engg. in a relevant technical field such as Marketing/Finance. Extensive experience solving business problems using quantitative approaches. Comfort with extracting, manipulating, and analyzing complex, high volume, high dimensionality data from varying sources. Previous Work Experience Required 5-8 years of experience in the Retail/CPG domain. Technical Skills Required Data Manipulation & Analysis: Advanced proficiency in SQL, Python (Pandas, NumPy), and Excel for structured data processing. Data Visualization: Expertise in Power BI and Tableau for building interactive dashboards and performance tracking tools. Modeling & Analytics: Hands-on experience with regression analysis, time series forecasting, and ML models using scikit-learn or XGBoost. Data Engineering Fundamentals: Knowledge of data pipelines, ETL processes, and integration of internal/external datasets for analytical readiness. Proficient in Python (pandas, scikit-learn, statsmodels), SQL, and Power BI. Skilled in regression, Bayesian modeling, uplift modeling, time-series forecasting (ARIMA, SARIMAX, Prophet), and clustering (k-means). Strong grasp of hypothesis testing, model validation, and scenario simulation. And above all of this, an undying love for beer! We dream big to create future with more cheers .

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Senior Data Scientist Location: Bangalore Reporting to: Senior Manager Purpose of the role This role sits at the intersection of data science and revenue growth strategy, focused on developing advanced analytical solutions to optimize pricing, trade promotions, and product mix. The candidate will lead the end-to-end design, deployment, and automation of machine learning models and statistical frameworks that support commercial decision-making, predictive scenario planning, and real-time performance tracking. By leveraging internal and external data sources—including transactional, market, and customer-level data—this role will deliver insights into price elasticity, promotional lift, channel efficiency, and category dynamics. The goal is to drive measurable improvements in gross margin, ROI on trade spend, and volume growth through data-informed strategies. Key tasks & accountabilities Design and implement price elasticity models using linear regression, log-log models, and hierarchical Bayesian frameworks to understand consumer response to pricing changes across channels and segments. Build uplift models (e.g., Linear Regression, XGBoost for treatment effect) to evaluate promotional effectiveness and isolate true incremental sales vs. base volume. Develop demand forecasting models using ARIMA, SARIMAX, and Prophet, integrating external factors such as seasonality, promotions, and competitor activity, time-series clustering and k-means segmentation to group SKUs, customers, and geographies for targeted pricing and promotion strategies. Construct assortment optimization models using conjoint analysis, choice modeling, and market basket analysis to support category planning and shelf optimization. Use Monte Carlo simulations and what-if scenario modeling to assess revenue impact under varying pricing, promo, and mix conditions. Conduct hypothesis testing (t-tests, ANOVA, chi-square) to evaluate statistical significance of pricing and promotional changes. Create LTV (lifetime value) and customer churn models to prioritize trade investment decisions and drive customer retention strategies. Integrate Nielsen, IRI, and internal POS data to build unified datasets for modeling and advanced analytics in SQL, Python (pandas, statsmodels, scikit-learn), and Azure Databricks environments. Automate reporting processes and real-time dashboards for price pack architecture (PPA), promotion performance tracking, and margin simulation using advanced Excel and Python. Lead post-event analytics using pre/post experimental designs, including difference-in-differences (DiD) methods to evaluate business interventions. Collaborate with Revenue Management, Finance, and Sales leaders to convert insights into pricing corridors, discount policies, and promotional guardrails. Translate complex statistical outputs into clear, executive-ready insights with actionable recommendations for business impact. Continuously refine model performance through feature engineering, model validation, and hyperparameter tuning to ensure accuracy and scalability. Provide mentorship to junior analysts, enhancing their skills in modeling, statistics, and commercial storytelling. Maintain documentation of model assumptions, business rules, and statistical parameters to ensure transparency and reproducibility. Other Competencies Required Presentation Skills: Effectively presenting findings and insights to stakeholders and senior leadership to drive informed decision-making. Collaboration: Working closely with cross-functional teams, including marketing, sales, and product development, to implement insights-driven strategies. Continuous Improvement: Actively seeking opportunities to enhance reporting processes and insights generation to maintain relevance and impact in a dynamic market environment. Data Scope Management: Managing the scope of data analysis, ensuring it aligns with the business objectives and insights goals. Act as a steadfast advisor to leadership, offering expert guidance on harnessing data to drive business outcomes and optimize customer experience initiatives. Serve as a catalyst for change by advocating for data-driven decision-making and cultivating a culture of continuous improvement rooted in insights gleaned from analysis. Continuously evaluate and refine reporting processes to ensure the delivery of timely, relevant, and impactful insights to leadership stakeholders while fostering an environment of ownership, collaboration, and mentorship within the team. Business Environment Main Characteristics: Work closely with Zone Revenue Management teams. Work in a fast-paced environment. Provide proactive communication to the stakeholders. This is an offshore role and requires comfort with working in a virtual environment. GCC is referred to as the offshore location. The role requires working in a collaborative manner with Zone/country business heads and GCC commercial teams. Summarize insights and recommendations to be presented back to the business. Continuously improve, automate, and optimize the process. Geographical Scope: Europe 3. Qualifications, Experience, Skills Level of educational attainment required: Bachelor or Post-Graduate in the field of Business & Marketing, Engineering/Solution, or other equivalent degree or equivalent work experience. MBA/Engg. in a relevant technical field such as Marketing/Finance. Extensive experience solving business problems using quantitative approaches. Comfort with extracting, manipulating, and analyzing complex, high volume, high dimensionality data from varying sources. Previous Work Experience Required 5-8 years of experience in the Retail/CPG domain. Technical Skills Required Data Manipulation & Analysis: Advanced proficiency in SQL, Python (Pandas, NumPy), and Excel for structured data processing. Data Visualization: Expertise in Power BI and Tableau for building interactive dashboards and performance tracking tools. Modeling & Analytics: Hands-on experience with regression analysis, time series forecasting, and ML models using scikit-learn or XGBoost. Data Engineering Fundamentals: Knowledge of data pipelines, ETL processes, and integration of internal/external datasets for analytical readiness. Proficient in Python (pandas, scikit-learn, statsmodels), SQL, and Power BI. Skilled in regression, Bayesian modeling, uplift modeling, time-series forecasting (ARIMA, SARIMAX, Prophet), and clustering (k-means). Strong grasp of hypothesis testing, model validation, and scenario simulation. And above all of this, an undying love for beer! We dream big to create future with more cheers .

As a Data Scientist for AI Products at Linde, you will be an integral part of the Artificial Intelligence team within Linde's global corporate division. Your primary responsibility will involve working on real business challenges and opportunities across multiple countries. Your focus will be on supporting the AI team in extending existing AI products and developing new ones to cater to various use cases within Linde's business and value chain. Collaboration with diverse teams including Project Managers, Data Scientists, Data and Software Engineers will be a key aspect of your role. You will directly work with a variety of data sources, types, and structures to derive actionable insights. Developing, customizing, and managing AI software products based on Machine and Deep Learning backends will be among your core tasks. Your role will also entail supporting the replication of existing products and pipelines to other systems and geographies, defining data requirements for new developments, and interacting with business functions to identify opportunities with potential business impact. To excel in this role, you are required to have a Bachelor's or Master's degree in data science, Computational Statistics/Mathematics, Computer Science, Operations Research, or a related field. A strong understanding and practical experience in Multivariate Statistics, Machine Learning, and Probability concepts are essential. Additionally, hands-on experience with preprocessing, feature engineering, data cleansing, and Python programming skills are crucial. Proficiency in handling large datasets using SQL, knowledge of data architectures, and experience with data visualization tools like Tableau or PowerBI are desired. Your result-driven mindset, excellent communication skills, and ability to structure projects from ideation to implementation will be valuable assets in this role. Fluency in English is a must, and any experience with DevOps, MS Azure, Azure ML, Kedro, Airflow, MLflow, or similar tools will be advantageous. Working at Linde offers you the opportunity to be part of a leading global industrial gases and engineering company with a strong commitment to sustainable development and customer success. If you are looking for a challenging yet rewarding career where you can make a positive impact on the world, Linde provides limitless possibilities for your professional growth. Join us in our mission to make the world more productive and sustainable. Let's talk about how you can contribute to our team!,

About Us Udacity is on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey. Udacity's mission is to democratize education. We're an online learning platform offering groundbreaking education in artificial intelligence, machine learning, robotics, virtual reality, and more fields. Focused on self-empowerment through learning, Udacity is making innovative technologies such as self-driving cars available to a global community of aspiring technologists while enabling learners at all levels to skill up with essentials like programming, web, and app development. Udacity is looking for people to join our Mentor Ops team. If you love a challenge and truly want to make a difference in the world, read on! Are you passionate about learning and helping others learn? Do you find people management and mentoring rewarding? Are you technically sound and eager to learn about different technologies? Do you thrive in a fast-paced environment with a diversity of intellectual challenges? We are looking for you! Responsibilities: Technical skills of new mentors: Responsible for selecting technically strong mentors who can provide superlative services (Project reviews and answers on the Knowledge platform) to students Technical quality of Services: Responsible for deploying processes to ensure that new and existing mentors are providing high-quality, technically accurate services to the students Mentor classification: Direct ownership of validating whether any mentor is a low, medium, or high performer. The validation exercise to encompass all data related to mentor performance, including students' ratings, P2P audit scores, and data collected by manually checking the quality of services High-performing mentors: Build and lead a community of technically skilled, high-performing mentors who would serve as technical experts for an array of Nanodegree programs Ongoing Technical certification: In a scalable manner, build technical certification modules for the mentors to strengthen their technical skills and develop the competency to support students in a better manner Technical Mentor Ops processes: Ensure timely execution of parts of Mentor ops processes that need a technical understanding of concepts. Methods include getting higher-quality answers to the students through mentors and plagiarism investigations. Select and onboard Session lead : Identifying high-performing and technical strong Session leads who would be taking virtual connect sessions for the Enterprise and Scholarship clients New Initiatives: Work closely with the rest of the Mentor Operations, Student Services, Product, Engineering, and Content teams to launch new programs and opportunities for enterprise customers, students, mentors, and more What are we looking for: Technically strong bend of mind with eagerness to learn An intermediate proficiency in Python or a similar language and development experience. Proficiency in data analysis, visualization, engineering, SQL, data Warehouses, data lakes, and data pipelines on both AWS and Azure. Exceptional ability to collect, analyze, and report on data Experience in designing, launching, and managing operational processes to drive processes at scale Proven experience in prioritizing and multitasking multiple urgent needs Intuition to guide Udacity mentors by encouraging best practices for tutoring and giving feedback Flexibility in using or learning to use different methods for tracking and conveying information, such as Zendesk, Google Docs, forums, online chat programs, and email Ideal Candidate: Strong expertise in Python, SQL, NoSQL databases (e.g., MySQL, MongoDB), data visualization tools (e.g., Tableau), statistical analysis (using Python, R, scipy, statsmodels), and data manipulation libraries (e.g., pandas, dplyr). Proficient in data integration concepts, tools for building data pipelines (like Apache Airflow), and cloud platforms (e.g., AWS, Azure) for data services deployment. Knowledgeable in big data frameworks (e.g., Apache Hadoop, Apache Spark) for large-scale data processing and analysis. Strong Problem-solving skills Good at researching and troubleshooting technical issues Empathetic and a great mentor Excellent organizational skills and ability to meet deadlines Driven by data to constantly iterate and improve An excellent communicator who excels in listening, writing, and responding professionally A team player Benefits: Experience a rewarding work environment with Udacity's perks and benefits! At Udacity, we offer you the flexibility of working from home. We also have in-person collaboration spaces in Mountain View, Cairo, Dubai and Noida and continue to build opportunities for team members to connect in person Flexible working hours Paid time off Comprehensive medical insurance coverage for you and your dependents Employee wellness resources and initiatives (access to wellness platforms like Headspace, Modern Health ) Quarterly wellness day off Personalized career development Unlimited access to Udacity Nanodegrees What We Do Forging futures in tech is our vision. Udacity is where lifelong learners come to learn the skills they need, to land the jobs they want, and to build the lives they deserve. Don't stop there! Please keep reading... You've probably heard the following statistic: Most male applicants only meet 60% of the qualifications, while women and other marginalized candidates only apply if they meet 100% of the qualifications. If you think you have what it takes but don't meet every single point in the job description, please apply! We believe that historically, many processes disproportionately hurt the most marginalized communities in society- including people of color, working-class backgrounds, women and LGBTQ people. Centering these communities at our core is pivotal for any successful organization and a value we uphold steadfastly. Therefore, Udacity strongly encourages applications from all communities and backgrounds. Udacity is proud to be an Equal Employment Opportunity employer. Please read our blog post for "6 Reasons Why Diversity, Equity, and Inclusion in the Workplace Exists" Last, but certainly not least… Udacity is committed to creating economic empowerment and a more diverse and equitable world. We believe that the unique contributions of all Udacians is the driver of our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, color, religion, sex, gender, gender identity or expression, sexual orientation, marital status, national origin, ancestry, disability, medical condition (including genetic information), age, veteran status or military status, or any other basis protected by federal, state or local laws. As part of our ongoing work to build more diverse teams at Udacity, when applying, you will be asked to complete a voluntary self-identification survey. This survey is anonymous, we are unable to connect your application with your survey responses. Please complete this voluntary survey as we utilize the data for diversity measures in terms of gender and ethnic background in both our candidates and our Udacians. We consider this data seriously and appreciate your willingness to complete this step in the process, if you choose to do so. Udacity's Values Obsess over Outcomes - Take the Lead - Embrace Curiosity - Celebrate the Assist Udacity's Terms of Use and Privacy Policy

Roles and Responsibilities : Analyze category performance across sales channels (D2C, marketplaces, offline). Track KPIs like revenue, ASP, margin, sell-through, stock cover, and inventory turns. Conduct pricing, discount, and profitability analysis at SKU and category levels. Identify top-performing or underperforming products and uncover performance drivers. Build dashboards and automated reports for category health and inventory planning. Collaborate with marketing, SCM, and category teams to inform business decisions. Perform trend, seasonality, and cohort analysis to improve demand forecasting. Use customer behavior data (views, clicks, conversions) to support assortment planning. Automate reporting workflows and optimize SQL/Python pipelines. Support new product launches with benchmarks and success prediction models. Skills & Qualifications : 0–2 years of experience in a data analytics role, preferably in E- commerce or Retail. Proficiency in MySQL: writing complex queries, joins, window functions. Advanced Excel/Google Sheets: pivot tables, dynamic dashboards, conditional formatting. Experience in Python: Pandas, automation scripts, statsmodels/scikit- learn. Comfort with data visualization: Power BI / Tableau / Looker Studio. Understanding of product lifecycle, inventory metrics, pricing levers, and customer insights. Strong foundation in statistics: descriptive stats, A/B testing, forecasting models. Excellent problem-solving, data storytelling, and cross-functional collaboration skills. Preferred / Bonus Skills : Experience with Shopify, Magento, or other e-commerce platforms. Familiarity with Google Analytics 4 (GA4). Knowledge of merchandising or visual analytics. Exposure to machine learning (e.g., clustering, success prediction). Experience with VBA or Google Apps Script for reporting automation.

As a Senior Data Scientist with 5+ years of experience, you will play a crucial role in our team based in Indore/Pune. Your responsibilities will involve designing and implementing models, extracting insights from data, and interpreting complex data structures to facilitate business decision-making. You should have a strong background in Machine Learning areas such as Natural Language Processing, Machine Vision, Time Series, etc. Your expertise should extend to Model Tuning, Model Validation, Supervised and Unsupervised Learning. Additionally, hands-on experience with model development, data preparation, and deployment of models for training and inference is essential. Proficiency in descriptive and inferential statistics, hypothesis testing, and data analysis and exploration are key skills required for this role. You should be adept at developing code that enables reproducible data analysis. Familiarity with AWS services like Sagemaker, Lambda, Glue, Step Functions, and EC2 is expected. Knowledge of data science code development and deployment IDEs such as Databricks, Anaconda distribution, and similar tools is essential. You should also possess expertise in ML algorithms related to time-series, natural language processing, optimization, object detection, topic modeling, clustering, and regression analysis. Your skills should include proficiency in Hive/Impala, Spark, Python, Pandas, Keras, SKLearn, StatsModels, Tensorflow, and PyTorch. Experience with end-to-end model deployment and production for at least 1 year is required. Familiarity with Model Deployment in Azure ML platform, Anaconda Enterprise, or AWS Sagemaker is preferred. Basic knowledge of deep learning algorithms like MaskedCNN, YOLO, and visualization and analytics/reporting tools such as Power BI, Tableau, Alteryx would be advantageous for this role.,

Ciklum is looking for a Senior Data Scientist to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Scientist, become a part of a cross-functional development team working for A healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. Our client is a leader in SaaS technology for healthcare, They offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With their expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Responsibilities: Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability Work directly with business analysts and data engineers to understand and support their use cases Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes Cross-trains other team members on technologies being developed, while also continuously learning new technologies from other team members Contribute to unit’s activities and community building, participate in conferences, and provide excellence in exercise and best practices Requirements: We know that sometimes, you can’t tick every box. We would still love to hear from you if you think you’re a good fit! 5+ years of development of Data Science solutions with a proven track record of leveraging analytics to drive significant business impact Bachelor's/Master's degree in Mathematics, Statistics, Computer Science, Operations Research, Econometrics or related field Proven ability to relate and solve business problems through machine learning and statistics 4+ years of experience applying various machine learning techniques: regression, classification, clustering, dimensional reduction, time series prediction, and/or outlier detection, recommendation systems Understanding of advantages and drawbacks of machine learning algorithms as well as their usage constraints including performance 4+ years of experience in Python development of machine learning solutions and statistical analysis: Pandas, SciPy, Scikit-learn, XGBoost, LightGBM, and/or statsmodels, imbalanced-learn libraries and ML libraries like scikit-learn, TensorFlow, PyTorch, data wrangling and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn Experience in working with large-scale datasets, including time series and healthcare data Experience with NLP, deep learning and GenAI Experience diving into data to consider hidden patterns and conducting error analysis 2+ years experience in data visualization: Power BI, Tableau, and/or Python libraries like Matplotlib and Seaborn Experience with SQL for data processing, data manipulation, sampling, reporting 3+ years experience creating/maintaining of OOP Machine Learning solutions Understanding of CRISP-ML(Q) / TDSP concept 1+ year of experience with MLOps: integration of reliable Machine Learning Pipelines in Production, Docker, containerization, orchestration 2+ years of experience with Clouds (AWS, Azure, GCP) and Clouds AI And ML Services(e.g. Amazon Sage Maker, Azure ML) Excellent time and project management skills, with the ability to manage detailed work and communicate project status effectively to all levels Desirable: Probability Theory & Statistics knowledge and intuition as well as understanding of Mathematics behind Machine Learning 1+ year of experience in Deep Learning solution development with Tensorflow or PyTorch libraries Data Science / Machine Learning certifications, or research experience with papers being published Experience with Kubernetes Experience with Databricks, Snowflake platforms 1+ year of BigData experience, i.e. Hadoop / Spark Experience with No-SQL, and/or columnar/graph databases What`s in it for you? Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well as financial and legal consultation Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally, and fulfil your potential Global impact: work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us: India is a strategic growth market for Ciklum. Be a part of a big story created right now. Let’s grow our delivery center in India together! Boost your skills and knowledge: create and innovate with like-minded professionals — all of that within a global company with a local spirit and start-up soul. Supported by Recognize Partners and expanding globally, we will engineer the experiences of tomorrow! Be bold, not bored! Interested already? We would love to get to know you! Submit your application. We can’t wait to see you at Ciklum.