1487 Data Scientist Jobs - Page 28

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary: Meet your team: This role sits within Credit card fraud risk strategy team of Global Fraud Prevention Org., focused on safeguarding our customers and business from evolving fraud threats. The team is responsible for developing and executing data-driven strategies to mitigate fraud in UK PPC portfolio. What do you need to know about the role: Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth. You will be working closely with global fraud risk professionals focusing on managing and mitigating fraud risk in the UK PayPal Credit Portfolio, Be a part of this fraud revolution and enjoy the journey being with PayPal’s growing team. Why You’ll Love It here: Impact: Your work directly influences the success and growth of PayPal’s credit offerings. Learning: Expect to level up your analytical and problem-solving skills every day with more challenges to solve Growth: The credit card industry is constantly evolving, and you’ll be right there on the cutting edge, sharpening your skills and new learnings along the way. Culture: We’re a team of passionate professionals who love challenges and are always ready to celebrate a job well done. Job Description: Your way to impact: Own the areas of Transaction Fraud risk policy: Work on Broad area of projects from Card risk strategies, acquisition and payment risk strategies, all depending on the business need. Work closely with Stakeholders: this includes Credit Risk, Product, finance teams to optimize fraud strategies and portfolio performance. Proactively identify emerging fraud trends and propose mitigation strategies. Maintain and develop Monitoring and Alerting capabilities: to clearly monitor the PPC Card program health and simplify insights for key stakeholders. Present regular updates to senior leaders: on Portfolio Health, highlights, lowlights, and actionable insights. Your day to day: In this role you will have full ownership of portfolio and is responsible for end-to-end management of Fraud loss and decline rates. Works independently and proficiently. Accountable for own results. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines. Analyze and assess risks to provide informed recommendations for mitigation strategies Prepare periodic KPI reports summarizing the business units’ risk and control environment for senior management What do you need to bring: 2-5 years of domain expertise Excellent Problem-Solving Skills: Strong judgment and the ability to think strategically, creatively, and practically to address complex challenges. Advanced Analytics expertise: Proficiency in SQL, Python, Advanced Excel, Tableau, and other analytics tools, with a proven track record of using them to solve real-world problems. Exceptional communication skills: Outstanding written, verbal communication abilities, capable of translating complex technical concepts into clear, actionable insights for diverse audiences Collaboration & Influence: Strong ability to collaborate across teams, build relationships, and drive results through influence and teamwork Experience in Payments / Transaction risk management / Credit / Fraud Risk is a strong plus. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com Who We Are: To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply. REQ ID R0127387 Show more Show less

Hello, We are looking for Data Scientist role to work with one of the American Multinational based at Bangalore/Chennai/Pune/Gurgaon/Hyderabad. Key Responsibilities: • R Programming Transition: Analyze and understand the existing application to effectively transition it to R. Re-write or optimize existing code to ensure efficiency and scalability in R. Transform R models to Python as needed. • R Shiny Dashboard Development: Design, develop, and implement interactive and visually appealing R Shiny Dashboards. Integrate data sources and ensure real-time data updates in the dashboards. Collaborate with stakeholders to gather requirements and provide dashboard solutions that meet business needs. • Cloud Server Hosting: Set up and configure AWS for hosting R Shiny Dashboards. Ensure secure, scalable, and reliable AWS hosting environments. • Project Leadership and Collaboration: Collaborate with cross-functional teams including data scientists, analysts, and IT staff. Required Skills and Qualifications: • Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field. • Proven experience in R programming and developing R Shiny applications and strong python skills. • Strong understanding of data manipulation and visualization in R. • Experience with cloud platforms such as AWS, Google Cloud, or Azure, specifically in deploying R Shiny Dashboards. • Familiarity with DevOps practices, including CI/CD pipelines and version control (e.g., Git). • Excellent problem-solving skills and ability to work independently and as part of a team. • Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Notice - Immediate/15 days/1 Month Interested candidates may apply on saritha.nair@reynasolutions.com Regards, Sarita Nair

Strong in Python and experience with Jupyter notebooks, Python packages like polars, pandas, numpy, scikit-learn, matplotlib, etc. Must have: Experience with machine learning lifecycle, including data preparation, training, evaluation, and deployment Must have: Hands-on experience with GCP services for ML & data science Must have: Experience with Vector Search and Hybrid Search techniques Must have: Experience with embeddings generation using models like BERT, Sentence Transformers, or custom models Must have: Experience in embedding indexing and retrieval (e.g., Elastic, FAISS, ScaNN, Annoy) Must have: Experience with LLMs and use cases like RAG (Retrieval-Augmented Generation) Must have: Understanding of semantic vs lexical search paradigms Must have: Experience with Learning to Rank (LTR) techniques and libraries (e.g., XGBoost, LightGBM with LTR support) Should be proficient in SQL and BigQuery for analytics and feature generation Should have experience with Dataproc clusters for distributed data processing using Apache Spark or PySpark Should have experience deploying models and services using Vertex AI, Cloud Run, or Cloud Functions Should be comfortable working with BM25 ranking (via Elasticsearch or OpenSearch) and blending with vector-based approaches Good to have: Familiarity with Vertex AI Matching Engine for scalable vector retrieval Good to have: Familiarity with TensorFlow Hub, Hugging Face, or other model repositories Good to have: Experience with prompt engineering, context windowing, and embedding optimization for LLM-based systems Should understand how to build end-to-end ML pipelines for search and ranking applications Must have: Awareness of evaluation metrics for search relevance (e.g., precision@k, recall, nDCG, MRR) Should have exposure to CI/CD pipelines and model versioning practices

Who we are Tractable is an Artificial Intelligence company bringing the speed and insight of Applied AI to visual assessment. Trained on millions of data points, our AI-powered solutions connect everyone involved in insurance, repairs, and sales of homes and cars - helping people work faster and smarter, while reducing friction and waste. Founded in 2014, Tractable is now the AI tool of choice for world-leading insurance and automotive companies. Our solutions unlock the potential of Applied AI to transform the whole recovery ecosystem, from assessing damage and accelerating claims and repairs to recycling parts. They help make response to recovery up to ten times faster - even after full-scale disasters like floods and hurricanes. Tractable has a world-class culture, backed up by our team, making us a global employer of choice! Were a diverse team, uniting individuals of over 40 different nationalities and from varied backgrounds, with machine learning researchers and motor engineers collaborating together on a daily basis. We empower each team member to have tangible impact and grow their own scope by intentionally building a culture centred around collaboration, transparency, autonomy and continuous learning. Were seeking a Senior Data Scientist to lead the delivery of real-world AI solutions across industries like insurance and automotive. Youll drive end-to-end ML development from scalable pipelines to production deployment while mentoring teammates and collaborating with enterprise partners to deliver business impact. Your impact Architect Solutions: Design and optimise scalable ML systems, focusing on computer vision and NLP/LLM applications Build & Deploy Models: Develop and productionise deep learning models using Python and modern ML frameworks Lead Cross-Functionally: Align research, engineering, and product goals through hands-on leadership Mentor & Guide: Support junior team members and promote best practices in ML development Engage Customers: Collaborate directly with enterprise clients to ensure seamless integration of AI solutions Drive Innovation: Evaluate and implement new AI tools and methodologies to enhance performance and scalability What youll need to be successful Applied AI Expertise: 5+ years building ML systems, especially in computer vision or NLP/LLM Strong Python & ML Skills: Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow) Production Experience: Hands-on experience deploying ML models in production environments Cloud & Data Engineering: Knowledge of cloud platforms (ideally AWS) and scalable data pipelines Collaboration & Communication: Ability to work across teams and communicate complex ideas clearly Problem-Solving Mindset: Analytical thinking and a focus on continuous improvement Preferred experience Industry Impact: Experience applying AI in insurance, automotive, or similar sectors LLM/NLP Expertise: Background in large language models or conversational AI Scalable Product Delivery: Proven success scaling ML solutions in production Leadership: Track record of mentorship and technical leadership in data science teams Diversity commitment At Tractable, we are committed to building a diverse team and inclusive workplace where people s varied backgrounds and experiences are valued and recognised. We encourage applications from candidates of all backgrounds and offer equal opportunities without discrimination.

Job Description We are seeking a highly skilled Data Scientist/Analyst with expertise in Media Mix Modeling (MMM) to join our dynamic analytics team. The ideal candidate will play a critical role in providing actionable insights and optimizing marketing spend across various channels by leveraging statistical models and data-driven techniques. Key Responsibilities: Develop and implement Media Mix Models to optimize marketing spend across different channels (e.g., TV, digital, radio, print, etc.). Analyze historical data to understand the impact of marketing efforts and determine the effectiveness of different media channels. Collaborate with marketing and business teams to translate business objectives into quantitative analyses and actionable insights. Build predictive models to forecast the impact of future marketing activities and recommend budget allocation. Present and communicate complex findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders. Perform deep-dive analyses of marketing campaigns and customer data to identify trends, opportunities, and areas for improvement. Ensure data integrity, accuracy, and consistency in all analyses and models. Stay up-to-date with the latest trends and advancements in media mix modeling, marketing analytics, and data science. Collaborate with cross-functional teams including Data Engineering, Marketing, and Business Intelligence to ensure seamless data flow and integration. Create and maintain documentation for all models, methodologies, and analysis processes. Qualifications Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related field. Proven experience (6+ years) working in Media Mix Modeling (MMM) and/or marketing analytics.

Requirement Role: ML Engineer/Data Scientist Experience: 3 to 15 Years Job Description: Responsibilities: Strong understanding of ML algorithms, techniques, and best practices. Strong understanding of Databricks, Azure AI services and other ML platforms and cloud computing platforms (e.g., AWS, Azure, GCP) and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of Mlflow or Kubeflow frameworks Strong programming skills in python and Data analytical expertise Experience in building Gen AI based solutions like chatbots using RAG approaches Expertise in any of the gen ai frameworks such as Langchain/ Langgraph, autogen, crewai, etc. Requirements: Proven experience as a Machine Learning Engineer, Data Scientist, or similar role, with a focus on product matching, image matching, and LLM. Solid understanding of machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with product matching algorithms and image recognition techniques. Experience with natural language processing and large language models (LLMs) such as GPT, BERT, or similar architectures. Optimize and fine-tune models for performance and scalability.. Collaborate with cross-functional teams to integrate ML solutions into products. Stay updated with the latest advancements in AI and machine learning.

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc. ) would be a necessary requirement. Exposure to Cloud technologies (e. g. , Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive / predictive / prescriptive) , Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc. ) would be a necessary requirement. Exposure to Cloud technologies (e. g. , Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

We are seeking a highly skilled Data Scientist/Analyst with expertise in Media Mix Modeling (MMM) to join our dynamic analytics team. The ideal candidate will play a critical role in providing actionable insights and optimizing marketing spend across various channels by leveraging statistical models and data-driven techniques. Key Responsibilities: Develop and implement Media Mix Models to optimize marketing spend across different channels (e.g., TV, digital, radio, print, etc.). Analyze historical data to understand the impact of marketing efforts and determine the effectiveness of different media channels. Collaborate with marketing and business teams to translate business objectives into quantitative analyses and actionable insights. Build predictive models to forecast the impact of future marketing activities and recommend budget allocation. Present and communicate complex findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders. Perform deep-dive analyses of marketing campaigns and customer data to identify trends, opportunities, and areas for improvement. Ensure data integrity, accuracy, and consistency in all analyses and models. Stay up-to-date with the latest trends and advancements in media mix modeling, marketing analytics, and data science. Collaborate with cross-functional teams including Data Engineering, Marketing, and Business Intelligence to ensure seamless data flow and integration. Create and maintain documentation for all models, methodologies, and analysis processes. Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related field. Proven experience (6+ years) working in Media Mix Modeling (MMM) and/or marketing analytics. Strong proficiency in stati

Senior Analyst Gurugram (Hybrid) 2 To 4 years + Job Description Apply Core responsibilities include: Owning and executing distinct work streams within larger analytics engagement Delivering insights based on complex data analysis, within relevant verticals (insurance, health care, banking, etc.) Hands on experience in data manipulation/processing skills using Python. Experience in exploratory data analysis and feature engineering Must have strong capabilities in problem solving, managing own work diligently, thoroughly documenting own work, succinctly communicating analysis process and outcomes, as well as effectively working with clients Basic understanding of at least one business area and its components (Healthcare, Insurance, Banking, Telecommunications, Logistics) Familiarity with / Exposure on cloud engineering (preferred) Ability to translate technical information to non-technical stakeholders and vice versa Strong verbal and written communications skills Actively seeks information to clarify customer needs to deliver better experience Acts promptly to ensure customer needs are fulfilled

Join us at Seismic, a cutting-edge technology company leading the way in the SaaS industry. We specialize in delivering modern, scalable, and multi-cloud solutions that empower businesses to succeed in today s digital era. Leveraging the latest advancements in technology, including Generative AI, we are committed to driving innovation and transforming the way businesses operate. As we embark on an exciting journey of growth and expansion, we are seeking a talented Data Scientist to join our AI team in Hyderabad, India. Seismic AI: AI is one of the fastest-growing product areas in Seismic. We believe that AI, particularly Generative AI, will empower and transform how Enterprise sales and marketing organizations operate and interact with customers. Seismic Aura, our leading AI engine, is powering this change in the sales enablement space and is being infused across the Seismic enablement cloud. Our focus is to leverage AI across the Seismic platform to make our customers more productive and efficient in their day-to-day tasks, and to drive more successful sales outcomes. Why Join Us: Opportunity to be a key contributor in a rapidly growing company and drive innovation in the SaaS industry. Work with cutting-edge technologies and be at the forefront of AI advancements. Competitive compensation package, including salary, bonus, and equity options. A supportive, inclusive work culture. Professional development opportunities and career growth potential in a dynamic and collaborative environment. Who you are: As a Data scientist I, you will design and develop complex AI applications to build next-gen AI capabilities. You will contribute to high-impact projects and work with cross-functional teams to design, build, and maintain scalable, high-performance models and AI applications that deliver exceptional value to our customers. This position offers a unique opportunity to make an impact on our company s growth and success by bringing AI-powered features to life across our platform, including content discovery, learning and coaching, meeting intelligence and various AI capabilities. This is a hands-on, high-impact role ideal for an individual contributor ready to scale AI in production. If you are a passionate technologist with a strong track record of building AI and data science solutions, and you thrive in a fast-paced, innovative environment, we want to hear from you! What you ll be doing: AI Application Development : Design and develop robust and scalable data science and AI applications, including NLP, classification, retrieval-augmented generation (RAG), and conversational/agentic, and multi-agent systems. Technical Excellence : Demonstrate excellence in various AI engineering aspects and share knowledge across the team. Model Optimization : Design and implement high-performance machine learning models and pipelines. Continuously improve latency, robustness, accuracy, and scalability. Innovation and Technology Adoption : Evaluate and implement new tools, frameworks, and methodologies to improve the efficiency and quality of AI systems. Product Integration : Collaborate with AI engineers, software engineers, and product managers to seamlessly integrate AI features across Seismic s products. Cross-functional Collaboration : Partner with UX, engineering, and product teams to design end-to-end intelligent experiences for our users. Decision-making and Ownership : Provide inputs to make complex decisions within your domain and contribute to strategy. What you bring to the team: Experience : Bachelor s degree and 1-2 years of experience, or an advanced degree (Master s or PhD) in data science or AI. Technical Expertise : Deep knowledge of AI and data science, including Generative AI, LLMs (OpenAI, Azure, Google, open-source), RAG pipelines, prompt engineering, NLP, and image models. Strong proficiency in Python, along with libraries such as Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow. Hands-on experience with HuggingFace, LangChain, and cloud-native AI services. Cloud Expertise : Experience with AWS, Azure, or GCP for model training, deployment, and data workflows. Familiarity with MLOps and model lifecycle management in production environments. Product Thinking : Ability to translate complex business challenges into technical solutions that scale. Proven track record of delivering AI-powered features from concept to production. Education: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or a related field. Other Skills : Excellent communication and collaboration skills. Strong articulation skills and a thoughtful, data-driven approach to solving problems. Experience working in a fast-paced SaaS or tech-driven environment. What we have for you: At Seismic, we re committed to providing benefits and perks for the whole self. To explore our benefits available in each country, please visit the Global Benefits page .

We are seeking a Data Scientist to join our data science team in Bangalore. This individual contributor role will be responsible for driving data-driven decision making across the organization. They will collaborate with business stakeholders, understand their problems, and design data-based solutions for them. Key responsibilities include: 1. Develop and implement machine learning models, perform data analysis, and create predictive models to support the Client Services teams. 2. Collaborate with team members and stakeholders to understand their data science needs and design solutions in collaboration/guidance from team members. 3. Conduct research to identify new methods and techniques to improve existing models. 4. Create visualizations to communicate complex data and insights in a clear and effective manner. 5. Ensure data quality throughout all stages of acquisition and processing, including data cleaning, normalization, and transformation. 6. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results Basic Qualifications Bachelors degree, OR 3+ years of relevant work experience Preferred Qualifications Bachelors degree, OR 3+ years of relevant work experience 1 or more years of work experience with a Bachelors Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD) in data science, machine learning, AI, or a related field. Proficient in Python, R, SQL, and other data science tools. Knowledge of big data platforms like Hadoop, Spark, or similar technologies. Knowledgeable in machine learning, generative AI techniques and algorithms. Familiarity with Large Language Models such as OpenAIs GPT-3, and open-source models like Falcon or Llama2. Proficient in Machine Learning Operations (MLOps), including deployment and maintenance of machine learning models. Excellent problem-solving skills and ability to think critically. Strong communication skills to clearly articulate the message with team members and stakeholders Knowledge of cloud platforms like AWS, GCP, or Azure is good to have. Familiarity with data visualization tools like Tableau, PowerBI, or similar. Ability to work in a team and independently as required. Familiarity with containerization technologies like Docker or Kubernetes.

Key Responsibilities : Design and develop machine learning models and algorithms to solve business problems Write clean, efficient, and reusable Python code for data processing and model deployment Collaborate with data engineers and product teams to integrate models into production systems Analyze large datasets to derive insights, trends, and patterns Evaluate model performance and continuously improve through retraining and tuning Create dashboards, reports, and data visualizations as needed Maintain documentation and ensure code quality and version control Preference Must have hands-on experience in building, training, and deploying AI/ML models using relevant frameworks and tools within a Linux environment. Strong proficiency in Python with hands-on experience in data science libraries (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, etc.) Experience working with Hugging Face Transformers , spaCy, ChatGPT (OpenAI APIs), and DeepSeek LLMs for building NLP or generative AI solutions Solid understanding of machine learning, statistics, and data modeling Experience with data preprocessing, feature engineering, and model evaluation Familiarity with SQL and working with structured/unstructured data Knowledge of APIs, data pipelines, and cloud platforms (AWS, GCP, or Azure) is a plus

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Experience: 2-4 yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Advanced degree strongly preferred

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviour’s. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients' business processes and challenges

Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Were looking for Data Scientists to join our Central Analytics team. Ita fast-paced, high-adrenaline job, with plenty to learn. If you enjoy crunching numbers, are never satisfied with the products around you, and have always wanted to make things better than the best, youll love this job. Whatrequired of you You will work closely with product leaders as a data-driven advisor and partner on strategic issues. Will work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization. Will proactively perform a wide range of analyses to identify trends, issues, and opportunities across games help us continue to improve gameplay. Will answer business-related questions through exploratory data analyses and ad-hoc reporting. Requirements B.Tech/M.Tech/PhD in Computer Science/Statistics with demonstrated experience in ML/Statistics Hands on experience in Python/Spark for data crunching, data visualization and machine learning. SQL skills: Experience querying large, complex datasets from a data lake/warehouse. Ability to execute research projects, and generate practical results and recommendations. The candidate should enjoy both working with people and undertaking rigorous statistical analyses. Knowledge of Deep Learning is highly desirable

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modelling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies

Job Description for Sr Data Scientist (relevant experience: 2 to 5 years) What we look for: Expertise in Big Data/ML: Should be able to build cutting edge credit/churn/usage models using advanced algorithms in a Big data/Machine Learning environment. Should have hands on experience and track record of delivering projects in individual capacity. - Process oriented: Should help in building a process that maximizes operating efficiency while maintaining risk across multiple lending cycles. There needs to be an obsession with collecting and analyzing data to drive business iterations and improvements. - Willingness to go above and beyond: For start-ups the responsibilities and needs of the business change quickly. Were looking for someone who is not afraid to take on calculated risks and can deal with ambiguity. Job Responsibilities: - Develop innovative credit risk / churn / usage models using mobile wallet transaction data, Call data, Telecom usage data, customer bureau data etc - Partner with the Data Engineering team to define the required data pipelines to build and enhance the feature bank (foundational capability) to build/deploy the various ML algorithms both for batch and real time use cases - Collaborate with credit policy/portfolio mgmt. team to drive P&L outcomes. - Building reports for model monitoring and drive enhancements Required Qualifications & Skills: Solid expertise in end-to-end risk model lifecycle management (develop, deploy, monitor) Previous hands on in credit, fraud, churn model development and deployment Previous experience in PD/EAD/LGD model development/validation Experience in CSI/PSI model monitoring process Hands on experience in data extraction using SQL/Pyspark SQL; data cleaning, feature creation and building models using Py Spark/Python on Spark; Scale will be a plus. Previous exposure to below algorithms (preferably multiple): Logistic Regression Random forest XGBOOST Markov Chain PSI/CSI for model monitoring Strategy performance tracking and swap in / swap out analysis - Strong entrepreneurial drive - Good to have: o Good business understanding of the fintech/consumer finance space o Experience in working with credit card / personal lending space, esp fintech o hands on experience in working with Telecom data

As a Data Scientist, you will be part of a high performing team working on exciting opportunities in AI/ML within Ford Credit. We are looking for a seasoned Data Scientist with proven expertise in implementing Machine Learning/Optimization solutions with familiarity in Generative AI and a good grasp of Statistics. Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Professional Qualification: Potential candidates should possess 3 to 7 years of working experience as a Data Scientist. BE/MSc/ MTech /ME/PhD (Computer Science/Maths, Statistics). Possess a strong analytical mindset and be very comfortable with data. Experience with handling both relational and non-relational data. Hands-on with analytics methods (descriptive / predictive / prescriptive) , Statistical Analysis, Probability and Data Visualization tools (Python-Matplotlib, Seaborn). Background of Computer Science with excellent Data Science working experience. Technical Experience: Develop Machine Learning (Supervised/Unsupervised learning), Neural Networks (ANN, CNN, RNN, LSTM, Decision tree, Encoder, Decoder), Natural Language Processing, Generative AI (LLMs, Lang Chain, RAG, Vector Database) . Hands-on Expertise in Python programming (OOPs concepts), SQL (relational/non-relational databases), experience in handling various data science libraries (Pandas, NumPy, SciPy, Sklearn, TensorFlow, Keras, Pytorch, etc.) would be a necessary requirement. Exposure to Cloud technologies (e.g., Google Cloud/AWS/Azure), including executing Machine Learning algorithms on Cloud is necessary. Exposure to Generative AI technologies. Ability to scope the problem statement, data preparation, training and making the AI/ML model production ready. Work with business partners to understand the problem statement, translate the same into analytical problem. Ability to manipulate structured and unstructured data. Develop, test and improve existing machine learning models. Analyse large and complex data sets to derive valuable insights. Research and implement best practices to enhance existing machine learning infrastructure. Develop prototypes for future exploration. Design and evaluate approaches for handling large volume of real data streams. Ability to determine appropriate analytical methods to be used. Collaborate with data engineers, solutions architects, application engineers, and product teams across time zones to develop data and model pipelines

About This Opportunity Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments. What You Will Do Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Experience in analysing complex problems and translate it into algorithms. Backend development in Rest APIs using Flask, Fast API Deployment experience with CI/CD pipelines Working knowledge of handling data sets and data pre-processing through PySpark Writing queries to target Casandra, PostgreSQL database. Design Principles in application development. Experience of Service Oriented Architecture (SOA, web services, REST) Experience of agile development & GCP BigQuery Have experience in general tools and techniques: E.g. Docker, K8s, GIT, Argo WorkFlow The Skills You Bring Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Noida Req ID: 759817 Show more Show less

Job Summary Job Title: Technical Team Lead Location: TechM Noida NSEZ Plot 131 133 Years of Experience: 7 10 Years Job Summary: We are seeking a highly skilled and experienced Technical Team Lead with a strong background in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). The ideal candidate will be responsible for leading a team of engineers and data scientists to develop innovative AI/ML solutions that drive business value. This role requires a blend of technical expertise, leadership skills, and the ability to communicate effectively with both technical and non technical stakeholders. Responsibilities: Lead and mentor a team of AI/ML engineers and data scientists, fostering a collaborative and innovative work environment. Design, develop, and implement AI/ML models and algorithms to solve complex business problems. Oversee the end to end project lifecycle, from requirements gathering to deployment and maintenance of AI/ML solutions. Collaborate with cross functional teams to integrate AI/ML capabilities into existing systems and processes. Stay updated with the latest advancements in AI/ML technologies and methodologies, and apply them to enhance project outcomes. Conduct code reviews and ensure adherence to best practices in software development and data science. Communicate project status, risks, and challenges to stakeholders and management effectively. Participate in recruitment and training of new team members to build a high performing team. Mandatory Skills: Proven experience in AI, ML, and DL with a strong portfolio of projects. Expertise in programming languages such as Python, R, or Java. Strong understanding of data structures, algorithms, and software design principles. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit learn). Ability to analyze and interpret complex data sets and derive actionable insights. Excellent problem solving skills and a proactive approach to challenges. Strong leadership and team management skills. Effective communication skills, both verbal and written. Preferred Skills: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of DevOps practices and tools for continuous integration and deployment. Experience in Agile methodologies and project management. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 7 10 years of relevant experience in AI/ML/DL, with at least 3 years in a leadership role. Proven track record of successfully delivering AI/ML projects on time and within budget. If you are passionate about leading innovative AI/ML projects and have the required expertise, we encourage you to apply and join our dynamic team at TechM. Show more Show less

Key Responsibilities: Design and implement machine learning models to solve real-world business problems. Work closely with stakeholders to gather requirements, define KPIs, and deliver data-driven recommendations. Analyze large datasets using SQL , Python (Pandas, NumPy, Scikit-learn, etc.) , and derive insights. Create data visualizations and dashboards using tools like Power BI, Tableau , or Matplotlib/Seaborn . Perform A/B testing, statistical modeling, and predictive analytics. Present findings clearly to technical and non-technical stakeholders through visual storytelling. Required Skills: Strong programming experience in Python for data manipulation and modeling. Expertise in SQL for querying relational databases. Proficiency in machine learning techniques (classification, regression, clustering, etc.). Experience with data visualization tools like Tableau, Power BI, or Plotly. Solid understanding of statistics and data interpretation. Excellent communication and stakeholder management skills.

About This Opportunity Ericsson is a leading provider of telecommunications equipment and services to mobile and fixed network operators globally. We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at Ericsson. As a Data Scientist, you will be responsible for leveraging advanced analytics and machine learning techniques to drive actionable insights and solutions for our telecom domain. This role requires a deep understanding of data science methodologies, strong programming skills, and proficiency in cloud-based environments. What You Will Do Develop and deploy machine learning models for various applications including chat-bot, XGBoost, random forest, NLP, computer vision, and generative AI. Utilize Python for data manipulation, analysis, and modeling tasks. Proficient in SQL for querying and analyzing large datasets. Experience with Docker and Kubernetes for containerization and orchestration of applications. Basic knowledge of PySpark for distributed computing and data processing. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Deploy machine learning models into production environments and ensure scalability and reliability. Preferably have experience working with Google Cloud Platform (GCP) services for data storage, processing, and deployment. Experience in analysing complex problems and translate it into algorithms. Backend development in Rest APIs using Flask, Fast API Deployment experience with CI/CD pipelines Working knowledge of handling data sets and data pre-processing through PySpark Writing queries to target Casandra, PostgreSQL database. Design Principles in application development. Experience of Service Oriented Architecture (SOA, web services, REST) Experience of agile development & GCP BigQuery Have experience in general tools and techniques: E.g. Docker, K8s, GIT, Argo WorkFlow The Skills You Bring Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD is preferred. 3-7 years of experience in data science and machine learning roles, preferably within the telecommunications or related industry. Proven experience in model development, evaluation, and deployment. Strong programming skills in Python and SQL. Familiarity with Docker, Kubernetes, and PySpark. Solid understanding of machine learning techniques and algorithms. Experience working with cloud platforms, preferably GCP. Excellent problem-solving skills and ability to work independently as well as part of a team. Strong communication and presentation skills, with the ability to explain complex analytical concepts to non-technical stakeholders. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Noida Req ID: 759817 Show more Show less

* 6-10 years of total DS and model development experience * A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role * Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively. * Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL * Experience in Time Series Forecasting Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems * Encourage collaboration with various stakeholders and take complete ownership of deliverables. * Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations * Effective mentoring of a team with expertise in industry/domain/functional areas