53 Regression Analysis Jobs

The role of S&C Global Network - AI - Marketing Analytics (MMM) Consultant at Accenture involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. As part of the Analytics practice, you will collaborate with a global network of colleagues skilled in leading statistical tools and applications. From data analysis to actionable insights, you will provide issue-based recommendations to help clients achieve high performance. Accenture is committed to investing in your learning and growth, supporting you in expanding your tech stack and certifications. In Applied Intelligence, you will execute projects in the context of business performance improvement initiatives, emphasizing sound analytical decision-making. Responsibilities include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. The ideal candidate will have relevant experience in the domain, strong analytical and problem-solving skills, and the ability to thrive in a dynamic environment. In this role, you will be responsible for defining data requirements, cleaning and analyzing data, and developing AI/ML models. You should have at least 3 years of experience in Market Mix Modeling, proficiency in Statistical and Probabilistic methods, and hands-on experience with Python data science libraries. Additionally, you will work on developing and managing data pipelines, leveraging machine learning architectures, and deploying marketing mix models on cloud platforms. The desired candidate should have knowledge of SQL and cloud-based technologies, expertise in Market mix modeling techniques, and experience in data migration from cloud to Snowflake. Understanding of econometric/statistical modeling, machine learning algorithms, and proficiency in tools such as Excel, MS Word, and PowerPoint are essential requirements. This role offers the opportunity to work on innovative projects, grow your career, and gain leadership exposure. If you have 8 to 10 years of experience and a B.Com educational qualification, and if you possess the mentioned skills and expertise, we are looking for you to join our team at Accenture.,

Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients" business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. Evalueserve is a leading global professional services firm specializing in research support. We partner with top companies around the world to provide them with valuable insights, innovative solutions, and strategic guidance that help our clients navigate the complex landscape and maximize their investment outcomes. Our work spans across industries, including finance, healthcare, technology, and more. As a member of the Professional Services & Asset & Wealth Management team, you will have the opportunity to work on exciting projects that shape the future of businesses. You will become an integral part of a dynamic team that leverages cutting-edge technologies, data-driven insights, and deep industry expertise to drive meaningful impact for our clients. You will collaborate with industry experts, thought leaders, and talented colleagues from diverse backgrounds. The candidate would be required to provide onshore support to sell-side research analysts (institutional equities) of the capital markets and investment group. Job responsibilities include collecting and analyzing financial data using online and other data sources, such as Bloomberg and Reuters, building historical financial models and providing forecasts, developing company operating metrics based on relevance across different sectors/companies, calculating company valuation using various methods, preparing company profiles, earning notes, quarterly updates, initiation of coverage reports, sector reports, newsletters, technology primers, flash notes, and theme-based reports, summarizing investment conference calls and conducting management interviews, developing roadshow presentations, managing ad hoc research requests based on client requirements. Qualifications: - 3-5 years in Equity Research - Strong accounting and financial skills - Good analytical skills - Knowledge of macroeconomic aggregates and regression analysis - Ability to meet tight deadlines and ensure timely completion of tasks - Good listening skills - Ability to implement new working styles - Ability to identify proactive ways of contributing to the company's goals and mission - Knowledge of databases (such as Bloomberg and Reuters) and other financial data systems - Excellent communication and interpersonal skills - Proficiency in MS Office Interested candidates can share their resumes at amit.rana2@evalueserve.com.,

Join Amgen's Mission of Serving Patients At Amgen, you will be part of something bigger, driven by our shared mission to serve patients living with serious illnesses. Since 1980, Amgen has been a pioneer in the world of biotech, focusing on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease, reaching millions of patients annually. As a member of the Amgen team, you will contribute to researching, manufacturing, and delivering innovative medicines that help people live longer, fuller, and happier lives. Our award-winning culture is collaborative, innovative, and science-based. If you are passionate about challenges and the opportunities they present, you will thrive as part of the Amgen team. Join us to make a lasting impact on patients" lives and transform your career. Data Scientist (US Value & Access Insights) In this vital role at Amgen, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. Your responsibilities will include creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: - Ensuring that models are trained with the latest data and meet SLA expectations - Acting as a subject matter expert in solving development and commercial questions - Collaborating with a global cross-functional team on the AI tools roadmap - Working in technical teams on the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics - Utilizing technical skills such as hypothesis testing, machine learning, and retrieval processes for statistical and data mining techniques - Performing exploratory and targeted data analyses using descriptive statistics and other methods - Collaborating with technical teams to translate business needs into technical specifications, focusing on AI-driven automation and insights - Developing and integrating custom applications, intelligent dashboards, and automated workflows incorporating AI capabilities to enhance decision-making and efficiency What We Expect Of You Basic Qualifications: - Masters degree with 1 to 3 years of computer science, statistics, or STEM majors with at least 1 year of Information Systems experience - Bachelors degree with 3 to 5 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Diploma with 7 to 9 years of computer science, statistics, or STEM majors with at least 2 years of Information Systems experience - Experience with analytic software tools or languages like R and Python - Strong foundation in machine learning algorithms and techniques - Experience in statistical techniques, hypothesis testing, regression analysis, clustering, and classification Preferred Qualifications: - Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow) - Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) - Outstanding analytical and problem-solving skills, ability to learn quickly, excellent communication and interpersonal skills - Experience with data engineering, pipeline development, NLP techniques for text analysis, sentiment analysis, time-series data analysis, forecasting, trend analysis, AWS, Azure, Google Cloud, Databricks platform for data analytics, and MLOps Professional Certifications: - Any AWS Developer certification (preferred) - Any Python and ML certification (preferred) Soft Skills: - Initiative to explore alternate technology and approaches to problem-solving - Skilled in breaking down problems, documenting problem statements, and estimating efforts - Excellent analytical and troubleshooting skills - Strong verbal and written communication skills - Ability to work effectively with global, virtual teams - High degree of initiative and self-motivation - Ability to manage multiple priorities successfully - Team-oriented, with a focus on achieving team goals What You Can Expect Of Us At Amgen, we support your professional and personal growth and well-being as we develop treatments to take care of others. We offer competitive benefits and a collaborative culture to support your journey every step of the way. Apply now for a career that defies imagination. Objects in your future are closer than they appear. Join us at careers.amgen.com. As an organization dedicated to improving the quality of life globally, Amgen fosters an inclusive environment of diverse, ethical, committed, and highly accomplished individuals who respect each other and live by Amgen values to advance science in serving patients. We ensure individuals with disabilities are provided reasonable accommodation throughout the job application process. Contact us to request accommodation.,

As a Specialist, Technical Business Analysis at Fiserv, you will be consulting with project teams and functional units to design important projects or services. You will provide support for existing business systems applications, demonstrating proficiency and leadership skills. Your role will involve efficiently balancing and prioritizing project work, utilizing data to offer insights and actionable recommendations that inform decision-making and strategy development. In this position, your expertise in data analysis, machine learning, and statistical modeling will be crucial. You will uncover insights and develop predictive models to enhance fraud rules. Collaborating with cross-functional teams, you will analyze large volumes of transactional data, identify patterns of fraudulent behavior, and enhance monitoring systems continuously. Effective communication is key, as you will interface with clients, vendors, and business partners periodically. To excel in this role, you will need a Bachelor's degree in Computer Science or Engineering, or relevant work experience. A background in IT development is required, along with a minimum of 5 years of experience in fraud analysis, investigations, or a related field - preferably in financial services or e-commerce. Proficiency in programming languages like Python or R for data analysis and model development, as well as familiarity with SQL for querying and managing relational databases, is essential. Sound knowledge of statistical methods and techniques, including regression analysis, clustering, time series analysis, and classification, is also necessary. Strong analytical skills are a must, enabling you to derive insights from complex datasets. Your ability to effectively communicate technical findings to non-technical stakeholders, work collaboratively in a fast-paced team environment, and present recommendations clearly is critical. Additionally, being self-motivated, proactive, and capable of working both independently and collaboratively is essential for success in this role. It would be advantageous to have knowledge and experience with JIRA, Service Point, and Confluence products. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) and data manipulation libraries (e.g., Pandas, NumPy) would also be beneficial. Thank you for considering employment with Fiserv. To apply, use your legal name and complete the step-by-step profile, attaching your resume. Fiserv is committed to Diversity and Inclusion, and does not accept resume submissions from agencies outside of existing agreements. Be cautious of fraudulent job postings not affiliated with Fiserv, and ensure that communications from Fiserv representatives come from legitimate email addresses.,

Role Overview: We are looking for a Data Analyst with strong Python expertise to join our growing Analytics Team in Kolkata. The ideal candidate will have 3-4 years of experience in data analysis using Python, with hands-on skills in data manipulation, statistical logic, and backend data workflows. This is a full-time, on-site position requiring daily collaboration with cross-functional teams to deliver insights and scalable data solutions. Key Responsibilities: 1. Use Python to clean, transform, and analyze structured and semi-structured datasets. 2. Employ Pandas, NumPy, and related libraries to develop robust, reusable data workflows. 3. Extract and manipulate data efficiently using complex SQL queries from multiple relational databases. 4. Apply statistical methods and logic checks to validate assumptions and interpret results. 5. Collaborate with Data Scientists and Project Stakeholders to translate business requirements into data logic. 6. Write and maintain clean, well-documented Python scripts for repeatable analysis tasks and backend data processing. 7. Perform data validation, mapping, and reconciliation using Python and Advanced Excel. 8. Follow best practices in version control (e.g., Git) and maintain clear documentation for analytics processes. 9. Apply statistical techniques such as regression analysis (linear, logistic) and hypothesis testing to derive actionable insights from business data. Required Skills & Qualifications: 1. Bachelors degree in Computer Science, Statistics, Mathematics, or a related technical field. 2. 34 years of experience in a data analyst or data operations role with Python as the primary tool. 3. Strong knowledge of Python libraries such as Pandas, NumPy, Openpyxl, etc. 4. Proficient in SQL with the ability to write optimized, multi-table queries. 5. Strong Excel skills for data verification and supplementary reporting. 6. Knowledge of data visualization tools like Tableau or Power BI is beneficial. 7. Experience working with Git repositories, agile environments, and code documentation. 8. Sharp analytical thinking and a strong sense of ownership toward deliverables. 9. Working knowledge of regression models (linear, logistic) and familiarity with libraries such as Statsmodels or scikit-learn for statistical analysis.

As a Market Research Analyst at ChatterPe, you will be responsible for collaborating with clients to develop tailored solutions that align with their objectives. Your role will involve creating strategies for data collection through methods like surveys, questionnaires, and opinion polls. Furthermore, you will be tasked with gathering and analyzing data on consumers, competitors, and market trends using statistical software. Your responsibilities will also include translating intricate data and insights into easily understandable formats such as tables, graphs, and written reports. It will be crucial for you to oversee all stages of the research process, ensuring the timely achievement of milestones. To excel in this role, you should possess a degree in Statistics, Marketing, Business Administration, or a related field. Previous experience in a similar position will be advantageous. Proficiency in managing both qualitative and quantitative research projects is essential. Additionally, you should have a strong background in questionnaire design, table specifications, and project management. The ideal candidate will be skilled in performing various statistical analyses like regression, conjoint, cluster, and discriminant analysis. Familiarity with consolidating data from multiple sources to craft a cohesive narrative is preferred. Proficiency in business visualization tools such as Power BI and Tableau, along with statistical packages like SPSS, SAS, or similar, is required. Excellent communication and presentation abilities are also key for this role. If you are seeking a Full Time or Part Time position as a Market Research Analyst in Gurugram, and you meet the above criteria, we encourage you to apply and be a part of our dynamic team at ChatterPe.,

As a Junior Quantitative Analyst at our company, you will be responsible for various tasks within the equities team. You should possess 2-3 years of experience in the equities space and have a solid foundation in quantitative analysis. This role presents an exciting opportunity to collaborate with seasoned professionals and contribute to the advancement of innovative investment strategies. Your primary responsibilities will include collecting, cleansing, and analyzing extensive datasets associated with equity markets. You will also play a key role in developing and executing quantitative models to bolster trading strategies and inform investment choices. Monitoring and assessing the real-time and historical performance of these models and strategies will be a crucial aspect of your role. Additionally, you will be tasked with generating automated reports on model performance, market conditions, and performance drivers. Collaboration with senior analysts, portfolio managers, and other team members will be essential to support the investment process effectively. To qualify for this position, you should hold a Bachelor's degree in Finance, Economics, Mathematics, Statistics, Computer Science, or a related field. A Master's degree would be advantageous. You must have 2-3 years of experience in quantitative analysis within equities trading. Proficiency in programming languages, particularly Python, is required, along with familiarity with SQL and data visualization tools. Strong analytical and problem-solving skills are essential, enabling you to interpret complex data and derive actionable insights accurately. A keen eye for detail and a commitment to precision are critical attributes for success in this role. Candidates with knowledge of financial instruments, market microstructure, trading strategies, risk management principles, and quantitative finance tools will be preferred. Experience with optimizations, risk models, and regression analysis would also be beneficial for the role.,

At American Express, the culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, with an unwavering commitment to support customers, communities, and colleagues. As a part of Team Amex, you will experience comprehensive support for your holistic well-being and numerous opportunities to learn new skills, develop as a leader, and advance your career. Your voice and ideas will be valued, your work will have an impact, and together, we will shape the future of American Express. The AIM (Analytics, Investment & Marketing Enablement) team, a part of GCS Marketing, serves as the analytical engine that drives the Global Commercial business portfolio of American Express. The team's primary objectives include accelerating growth momentum, increasing profitability, and enhancing the value proposition. By providing actionable insights to drive business strategy and growth, the team enables GCS Marketing to achieve its goals. As an Analyst (Band 30) in Gurgaon, India, your role will focus on driving sentinel measurement Analytics across channels and product offerings at Amex. Your key responsibilities will include supporting business partners with campaign measurements, ROI analysis, and actionable data-driven insights for acquisition & engagement treatments in GCS. You will develop analytical solutions by gathering requirements, performing data analysis, and delivering timely reporting for marketing & sales leadership. Additionally, you will collaborate with stakeholders, assess business needs, ensure data integrity, and provide actionable recommendations in times of change. Minimum Qualifications: - Degree in a quantitative field preferred (e.g., B.Tech, BSc/MSc Statistics, Economics) - Knowledge of Hive, Python, PySpark, SQL for data manipulation and statistical modeling - Strong analytical aptitude, technical skills, and project management abilities - Excellent communication skills to present results & methodologies clearly - Ability to work in high-pressure situations with minimal errors and a growth mindset - Strong problem-solving skills, ability to work independently, and challenge the status quo - Comfortable with flexible shift timings to support Global Partners Preferred Qualifications: - 1-2 years of relevant experience with skills in Python, SQL, and Advanced Excel - Knowledge of statistical techniques like hypothesis testing, regression, KNN, t-test, chi-square test - Experience in campaign measurement/marketing analytics is a plus American Express provides benefits to support your holistic well-being, including competitive base salaries, bonus incentives, financial well-being support, comprehensive medical benefits, flexible working arrangements, parental leave policies, access to wellness centers, counseling support, and career development opportunities. Employment with American Express is subject to the successful completion of a background verification check.,

Bharti Soft Tech Pvt Ltd is a global technology and process driven software solutions company offering customer-centric solutions. With knowledge and experience of the entire IT lifecycle, we help enterprises streamline core IT processes and augment their competitive advantage. Our Agile tools and DevOps processes create outcome-based and ROI-driven solutions for technology teams and enterprises. Drawing on the talents and insights of our people in offices around the world, we combine unparalleled experience, comprehensive capabilities across many industries and business processes, and fresh thinking to generate innovative solutions. BSPL offers superior quality and cost-effective business solutions, employing cutting-edge technologies and the most exacting of quality standards. Headquartered in Paris, Europe with two delivery centers in India and operations in the U.S., Europe, and Asia, we combine local presence and accountability with a global delivery capability. This role is to work on advanced research and development, to enhance relationships with clients, acquire strategic datasets, and provide new and innovative solutions via product prototyping. The role holder will concentrate on new data asset evaluation and acquisition and new product prototyping. This will involve inventing and modifying advanced innovative algorithms and applying them to large data sets to solve difficult business problems. The role holder must be able to balance and prioritize multiple concurrent projects, anticipate obstacles, and make high-quality deliveries on an aggressive schedule. **Principle responsibilities** **Data Analysis** - Analyzing, processing, evaluating, and documenting large data sets - Identifying and applying appropriate machine learning/data mining/text mining techniques to uncover the value of the data - Designing data structure and data storage schemes for efficient data manipulation and information retrieval - Developing tools for data processing and information retrieval - Developing data-driven models to quantify the value of a given data set - Validating score performance - Conducting ROI and benefit analysis - Documenting and presenting model process and model performance - Applying analytical and industry knowledge to construct analytical solutions with details for internal and external clients to solve their business problems - Making independent decisions that require developing new options and troubleshooting uncertainty to solve complex problems **Problem Solving and Innovation** - Developing best practices for utilizing Company's and client data and producing new insights - Developing appropriate business assumptions for developing relevant solutions - Developing state-of-the-art topical material for Knowledge Share and relevant Roundtable discussions **Project Management** - Working independently on assignments using knowledge and work experience - Gathering input from colleagues and management to address issues within the project team - Influencing at the multiple account and project level internal and external, and may lead project and account team **Measures of Performance** - Data Analysis delivered to budgeted time, spec, and with a high level of accuracy first time - Data Analysis delivered by following best practices and processes - Documentation is in place and meeting the project standards - Team's innovation activities are supported - Best practices and guidelines updated when necessary - New methodologies and approaches are shared with the ACES team and broader analytics community - NPS score of the projects being involved meet the team targets - Own PDP targets are achieved **Requirements** - 6+ years experience with an advanced Degree or equivalent in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Maths, or other quantitative fields - Strong grasp of probability, statistical inference, optimization algorithms, linear algebra, and calculus - Understanding of how and when to apply key analytical approaches including regression analysis, machine learning, AI, deep learning, and other advanced modeling approaches to extract and automate insights from data - Strong grasp of techniques for model cross-validation and penalizing unnecessary complexity, including regularization, Bayesian shrinkage, in-sample vs out-of-sample - Fluency with statistical significance tests and Monte Carlo simulation - Ability to write near-production-level code in at least one general-purpose programming language (e.g. Python, C++) - Understanding of modern technologies in processing large data sets, including Apache family (Hadoop, Spark), latest database technologies (e.g. Graph databases, time-series databases), and natural language processing and other tools for the parsing of unstructured data - Good communication skills - A thorough understanding of a particular domain of products and services and their use by clients - Experience of working in cross-functional teams,

lululemon is an innovative performance apparel company that specializes in providing high-quality products for yoga, running, training, and other athletic activities. Our focus lies in developing technical fabrics and functional designs to create products and experiences that support individuals in their journey of movement, growth, connection, and overall well-being. At lululemon, we attribute our success to our dedication to innovation, our commitment to our people, and the meaningful relationships we establish within the communities we serve. We are dedicated to driving positive change and fostering a healthier and more prosperous future. A key aspect of our mission involves cultivating an environment that is equitable, inclusive, and growth-oriented for all our team members. Our India Tech Hub is instrumental in enhancing our technological capabilities across various domains such as Product Systems, Merchandising and Planning, Digital Presence, distribution and logistics, and corporate systems. The team in India collaborates closely with our global team on projects of strategic significance. Joining the Content team at lululemon offers an exciting opportunity to contribute to a fast-paced environment that is constantly exploring new initiatives to support our rapidly expanding business. We are a team that embraces cutting-edge technology and is driven by a continuous pursuit of improvement. Innovation is at the core of our ethos, and we encourage each other to step out of our comfort zones and embrace new challenges. Professional and personal growth is paramount to us, and we believe in learning from failures to pave the way for a brighter future. We foster an environment where team members can freely share feedback and ideas, promoting ongoing organizational growth. Operating within an agile methodology, we collaborate with product teams across various functions and a core commerce platform team. At lululemon, we prioritize creating a culture of enjoyment and lightheartedness in our daily work routine. We recognize the strength in unity and celebrate the fact that we are more powerful as a team rather than as individuals. Responsibilities: - Develop Statistical/Machine Learning models/analysis for Merchandising and Planning Business problems - Play a key role in all stages of the Data science project life cycle - Collaborate with Product Management and Business teams to gain Business understanding and collect requirements - Identify necessary data sources and automate the collection process - Conduct pre-processing and exploratory data analysis - Evaluate and interpret results, presenting findings to stakeholders and business leaders - Collaborate with engineering and product development teams to deploy models into production systems when applicable Requirements and Skills: - Demonstrated experience in delivering technical solutions using Time Series/Machine Learning techniques - Proficient in applied Statistical skills, including familiarity with Statistical tests, distributions, etc. - Strong expertise in applied Machine Learning skills such as Time Series, Regression Analysis, Supervised and Unsupervised Learning - Proficient Programming Skills in Python and database query languages like SQL, with additional familiarity with Snowflake & Databricks being advantageous - Experience with time series forecasting techniques like ARIMA, Prophet, Deep AR - Familiarity with data visualization libraries such as Plotly, Business intelligence tools like PowerBI, Tableau - Excellent communication and presentation abilities - Previous experience in the Retail industry Responsibilities: - Identify valuable data sources and automate collection processes - Preprocess structured and unstructured data - Analyze large datasets to identify trends and patterns - Develop predictive models and machine-learning algorithms - Employ ensemble modeling techniques - Utilize data visualization methods to present information effectively - Propose actionable solutions and strategies to address business challenges - Collaborate with engineering and product development teams,

As a data and analytics engineering professional at PwC, your primary focus will be on leveraging advanced technologies and techniques to design and develop robust data solutions for our clients. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and ultimately driving business growth. In the realm of artificial intelligence and machine learning, your responsibilities will involve developing and implementing advanced AI and ML solutions to foster innovation and enhance business processes. Your work will encompass designing and optimizing algorithms, models, and systems to facilitate intelligent decision-making and automation. Candidates with 15+ years of hands-on experience are preferred for this role. Essential requirements for this position include familiarity with the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges. You should also possess a solid understanding of conversational data (chats, emails, and calls) to train Conversational AI systems. In-depth knowledge of CCaaS platforms such as NiceCX, Genesys, and Cisco, including their architecture, functionalities, and integration capabilities, is crucial. Proficiency in contact center metrics like average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT) is necessary. Additionally, familiarity with sentiment analysis, topic modeling, and text classification techniques, as well as proficiency in data visualization tools like Tableau, Power BI, and Quicksight, is required. An understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics is essential. Expertise in NLU verticals such as ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI is highly valued. You will also be expected to apply advanced statistical and machine learning techniques to analyze large datasets and develop predictive models and algorithms to enhance contact center performance. Preferred qualifications include proficiency in programming languages such as Python, Pyspark, R, and SQL, as well as a strong understanding of data science principles, statistical analysis, and machine learning techniques. Experience in predictive modeling, along with skills in techniques like regression analysis, time series forecasting, clustering, and NLP techniques, is advantageous. Knowledge of distributed computing frameworks like Hadoop and Spark for processing large volumes of data is beneficial. An understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data is also preferred. Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA), as well as an understanding of ethical considerations in data science and responsible AI practices, will be beneficial. The ideal educational background for this role includes a degree in BE, B.Tech, MCA, M.Sc, M.E, M.Tech, or MBA.,

Tiger Analytics is a global leader in AI and analytics, assisting Fortune 1000 companies in overcoming their most challenging obstacles. Offering comprehensive AI and analytics services and solutions, we empower businesses to achieve real outcomes and value on a large scale. Our mission is to expand the horizons of what AI and analytics can accomplish, aiding enterprises in navigating uncertainty and decisively moving forward. Our ultimate goal is to provide certainty in shaping a better tomorrow. With a team of over 4000 technologists and consultants across the US, Canada, the UK, India, Singapore, and Australia, we collaborate closely with clients in various sectors such as CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders are recognized in the Top 10 and 40 Under 40 lists, showcasing our commitment to innovation and excellence. As a Great Place to Work-Certified organization (2022-24) and acknowledged by prominent analyst firms including Forrester, Gartner, HFS, Everest, ISG, and others, we have been featured in lists of the Best and Fastest Growing analytics firms by Inc., Financial Times, Economic Times, and Analytics India Magazine. About the role: Tiger's expanding Banking Financial Services vertical is seeking self-motivated AI/ML/Data Science and consulting professionals with domain expertise in the Banking and Financial Services sector and robust technical skills for a challenging role in Marketing and Customer Analytics. The responsibilities of this role include collaborating with diverse clients to analyze, evaluate, and propose Marketing analytics solutions and Campaign performance measurement plans. Additionally, the position entails managerial duties such as task setting and review, quality control, as well as supervising, mentoring, and coaching analysts within the team. As part of the broader Financial Services practice, you will have the opportunity to address a wide range of pivotal business challenges across various work streams. Engaging with clients and client partners to grasp their business context, you will work alongside a team of data scientists and engineers. Location: Chennai Experience: 2 to 8 years Responsibilities: 1) Drive data-driven insights to optimize marketing strategies, enhance customer targeting, and improve campaign performance 2) Analyze large datasets, monitor key performance metrics, and offer actionable insights to steer Marketing decisions supporting business growth, customer engagement, and overall marketing for Banking's Retail and Commercial products 3) Create and maintain dashboards and reports for tracking key performance indicators (KPIs) and business metrics 4) Collaborate with clients and stakeholders to aid in establishing the marketing analytics roadmap and presenting the analytical insights Required Qualifications, Capabilities, and Skills: 1) Degree in Accounting, Commerce, Economics, Statistics / Mathematics, or Marketing 2) Post-Graduate qualifications in finance, economics, or accounting, with a focus on Marketing Desired Experience: 1) Proficiency in the Banking sector (Retail or Commercial banking) and banking products 2) Background in Marketing analytics to drive marketing decisions for the bank 3) Advanced skills in SQL and experience with large, complex datasets 4) Strong expertise in Excel reporting, data visualization tools (Tableau, Power BI) 5) Experience in leading teams and managing direct client stakeholders Desirable Skills: 1) Familiarity with marketing and financial metrics (CPL, CPA, CLTV, ROI, NPV, etc.) and optimizing marketing campaigns based on performance data 2) Hands-on Development experience in Python/Py-Spark/SAS 3) Experience with advanced analytics techniques such as regression analysis and customer segmentation to extract actionable insights from customer and marketing data,

We are seeking an experienced Advanced Analytics Specialist to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background and a passion for transforming complex data into actionable insights. Job Description: Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 3+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc. ) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. What We Offer: Opportunities for professional development and career growth. A collaborative and innovative work environment. If you are passionate about data analytics and want to make a significant impact in the retail/CPG industry, we encourage you to apply! Location: Bangalore Brand: Merkle Time Type: Full time Contract Type: Permanent

We are seeking an experienced Advanced Analytics Specialist to join our dynamic team. This role focuses on leveraging advanced analytics techniques, including machine learning algorithms, Generative AI (GenAI), and large language models (LLMs), to drive data-driven decision-making within the retail/CPG domain. The ideal candidate will possess a strong quantitative background and a passion for transforming complex data into actionable insights. Job Description: Key Responsibilities: Develop, implement, and maintain advanced analytical models using machine learning algorithms and GenAI applications Utilize various advanced analytics techniques to uncover trends, patterns, and insights from large and complex datasets. Collaborate with cross-functional teams to identify business needs and deliver data-driven solutions. Create visually compelling dashboards and reports to present findings to stakeholders. Continuously evaluate and improve existing analytics methodologies and models to enhance accuracy and performance. Stay abreast of industry trends and advancements in analytics and machine learning to drive innovation within the team. Mentor junior team members and contribute to knowledge sharing within the organization. Basic Qualifications: Bachelor s or Master s degree in Data Science, Business Analytics, Mathematics, Statistics, or a related field. 3+ years of experience in advanced analytics, data science, machine learning, Generative AI or a related field. Strong experience with quantitative modeling, predictive analytics, text analytics, and forecasting methodologies Proficiency in SQL (or Google BigQuery), Python, visualization tools like Tableau/PowerBI Familiarity with the Retail/CPG/Tech industry and experience with product, transaction, and customer-level data. Excellent communication skills, both verbal and written, with the ability to convey complex concepts to non-technical stakeholders. Strong analytical and problem-solving skills, with an inquisitive mindset. Desired Skills: Proficient in the following advanced analytics techniques: Descriptive Analytics: Statistical analysis, data visualization. Predictive Analytics: Regression analysis, time series forecasting, classification techniques, market mix modeling Prescriptive Analytics: Optimization, simulation modeling. Text Analytics: Natural Language Processing (NLP), sentiment analysis. Extensive knowledge of machine learning techniques, including: Supervised Learning: Linear regression, logistic regression, decision trees, support vector machines, random forests, gradient boosting machines among others Unsupervised Learning: K-means clustering, hierarchical clustering, principal component analysis (PCA), anomaly detection among others Reinforcement Learning: Q-learning, deep Q-networks, etc. Experience with Generative AI and large language models (LLMs) for text generation, summarization, and conversational agents. Researching, loading and application of the best LLMs (GPT, Gemini, LLAMA, etc.) for various objectives Hyper parameter tuning Prompt Engineering Embedding & Vectorization Fine tuning Proficiency in data visualization tools such as Tableau or Power BI. Strong skills in data management, structuring, and harmonization to support analytical needs. What We Offer: Opportunities for professional development and career growth. A collaborative and innovative work environment. If you are passionate about data analytics and want to make a significant impact in the retail/CPG industry, we encourage you to apply! Location: Bangalore Brand: Merkle Time Type: Full time Contract Type: Permanent

The Data Science and AI/ML team collaborates across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions that improve patient outcomes, delight partners and customers, and enhance business operations in an AI First fashion. The team works on projects ranging from building sophisticated models to delivering personalized recommendations to patients, analyzing sleep data to optimize equipment and settings, proactively identifying health risk factors, and optimizing global supply chain operations. As a Sr. Machine Learning Engineer, you will play a crucial role in contributing to and leading the development of ML architecture and operations. Your responsibilities include optimizing time to market and quality of AI/ML applications by working on projects within the AI operations team. You will ensure that global AI/ML systems are production-grade, scalable, and utilize cutting-edge technology and methodology. Additionally, you will collaborate with stakeholders, mentor junior team members, and engage with business stakeholders. Key Responsibilities: - Collaborate with Product Management, Engineering, and other stakeholders to create impactful AI/ML features and products. - Work closely with Data Scientists and Data Engineers to own the end-to-end process, train junior team members, and maintain AI/ML architectures. - Document model design, experiments, tests, and outcomes, and stay informed of industry trends. - Implement process improvements, build production-level AI/ML systems, and support technical issues for stakeholders. - Participate in Code Review and handle escalated incidents to resolution. Requirements: - 4+ years of industry experience in Machine Learning Engineering, Data Science, or Data Engineering. - M.S or PhD in Data Science/Machine Learning or related areas. - Proficiency in data analytics systems development, model building, and online deployment. - Experience in building scalable AI/ML systems for various advanced problems. - Hands-on experience with large datasets, Python, and cloud-based tools. - Strong mathematical foundation and knowledge of machine learning techniques. Joining the team means more than just a job it's an opportunity to be part of a culture that values excellence, diversity, and innovation. If you are looking for a challenging and supportive environment where your ideas are encouraged, apply now to be a part of our team dedicated to making the world a healthier place. We are committed to reviewing every application we receive.,

Responsibilities Date posted 07/14/2025 End Date 07/31/2025 City Noida State/Region Uttar Pradesh Country India Location Type Onsite Calling all innovators find your future at Fiserv. Job Title Specialist, Technical Business Analysis What does a great Business Analyst do in Fiserv Consults with project teams and functional units on the design of important projects or services. Helps support existing business systems applications and demonstrates proficiency and leadership. Balances and prioritizes project work efficiently. Utilizing data to provide insights and actionable recommendations, they help inform decision-making and strategy development. What you will do The candidate for this position will leverage your expertise in data analysis, machine learning, and statistical modeling to uncover insights and develop predictive models that enhance our fraud rules. You will collaborate with cross-functional teams to analyze vast amounts of transactional data, identify patterns of fraudulent behavior, and continuously improve our monitoring systems. Your contributions will play a crucial role in enhancing the effectiveness of our solutions and protecting our clients from evolving threats. Must have excellent communication skills, as the role periodically interfaces with clients, vendors and business partners. What you will need to have: Bachelors degree in Computer Science or Engineering, or relevant work experience IT experience with background in development. Minimum of 5 year s experience in fraud analysis, investigations, or a related field, preferably in the financial services or e-commerce sector. Proficiency in programming languages such as Python or R for data analysis and model development. Familiarity with SQL for querying and managing relational databases. Solid understanding of statistical methods and techniques, including regression analysis, clustering, time series analysis, and classification. Excellent analytical skills with the ability to derive insights from complex datasets. Strong communication skills to effectively convey technical findings to non-technical stakeholders. Ability to work collaboratively in a fast-paced, team-oriented environment. Strong written and verbal communication skills, with the ability to present findings and recommendations clearly to stakeholders. Self-motivated, proactive, and able to work independently as well as collaboratively in a team environment. What would be great to have Knowledge of financial technologies, standards, and industry regulations (i.e., Payment Card Industry Data Security Standards) are highly preferred Knowledge of and experience with JIRA, Service Point and Confluence products. Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, Keras) and data manipulation libraries (e.g., Pandas, NumPy). Conclusion The role demands Analyze large datasets to identify trends, patterns, and anomalies that may indicate payment card compromises across a client s portfolio and Develop, implement, and maintain predictive models and machine learning algorithms to enhance fraud detection capabilities. Thank you for considering employment with Fiserv. Please: Apply using your legal name Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable). Our commitment to Diversity and Inclusion: Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law. Note to agencies: Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions. Warning about fake job posts: Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address. Share this Job Email LinkedIn X Facebook

As a Colleague Experience Survey Analyst, you will have a significant impact on enhancing employee engagement and experience through data-driven insights and strategic planning. Your role will involve collaborating across various functions to create, implement, and analyze feedback mechanisms that drive organizational transformation and cultivate a culture of excellence. Your responsibilities will include leading the entire survey research process, from developing questionnaires to analyzing data and generating reports. By applying statistical techniques like inferential statistics, correlations, and regression analysis, you will extract valuable insights that guide actionable steps based on employee feedback. Additionally, your expertise will be instrumental in supporting HR digital transformation initiatives and aligning resources to meet organizational needs effectively. The ideal candidate for this role should possess a strong background in survey analytics, with hands-on experience using platforms like Glint, PeakOn, or Qualtrics. Proficiency in SQL, Python, or similar data querying tools is essential, along with skills in benefits tracking, change management, and continuous improvement methodologies. Excellent problem-solving abilities, decision-making skills, and presentation capabilities are crucial for success in this position. Furthermore, candidates with experience in agile team environments and a proactive work approach will stand out. Proficiency in Microsoft Office Suite, particularly Excel and PowerPoint, is highly desirable. Business acumen and the ability to translate data into strategic insights and recommendations will be key assets in this role. In terms of qualifications, a Bachelor's degree is required, while a Master's degree in any discipline is preferred. Critical capabilities such as risk and controls, strategic thinking, change and transformation, digital & technology acumen, and role-specific technical competencies may be assessed as part of the evaluation process.,

As a Workday Prism Analytics and Reporting Consultant in HR IT at Deutsche Bank, located in Pune, India, you will be focusing on HR Data and the Workday Domain (Prism and Reporting). Your role will involve understanding HR data transformation using Workday Prism, Reporting, and Core Workday HCM modules. You will be responsible for managing technical resources, solution financials, staff development, and ensuring quality deliverables across HR IT projects. In this role, you will be developing a strong understanding of user reporting needs and recommending implementation strategies using Workday tools. You will design, develop, and tune data visualization tools and reports aligned with business requirements. Additionally, you will create and configure metadata objects, collaborate with ETL developers on report design strategies, and recommend innovative reporting solutions based on cost, effectiveness, and data availability. Your responsibilities will also include building prototypes for demonstrations to stakeholders and senior leaders, providing Subject Matter Expert (SME) support for troubleshooting and BI-driven problem-solving, managing security setup/maintenance for data visualization tools, developing project timelines, documentation, and training materials, and offering post-implementation support and process fine-tuning. You will maintain communication with management and users during development cycles and coordinate user activities to ensure data and system integrity. To excel in this role, you should have experience in designing, building, and maintaining data pipelines/transformations in Workday Prism Analytics, translating business requirements into scalable Prism solutions, optimizing Prism workloads for performance and efficiency, and integrating data from diverse sources into Workday Prism with accuracy. You should also have experience in developing ETL processes for reporting and analytics, building reports, dashboards, and analytics using Workday tools, and collaborating with cross-functional teams to address data needs. At Deutsche Bank, you will receive training and development opportunities to help you excel in your career, coaching and support from experts in your team, and a culture of continuous learning to aid progression. Additionally, you will have access to a range of flexible benefits that you can tailor to suit your needs. If you are looking to join a team that values empowerment, responsibility, commercial thinking, initiative, and collaboration, and celebrates the successes of its people, Deutsche Bank welcomes your application. We promote a positive, fair, and inclusive work environment where all individuals are encouraged to thrive and contribute to the success of the Deutsche Bank Group.,

At 5X, we help companies organize their data and make it actionable. Founded by engineers who built data platforms at hypergrowth companies, we saw first-hand the complexity and fragmentation plaguing modern data stacks. That s why we created 5X an end-to-end data and AI platform that unifies data tooling, streamlines operations, and empowers teams to build with data without drowning in integrations and vendor sprawl. Responsibilities Understand and analyse clients business requirements to design and implement effective data solutions. Create and optimize data models to support client reporting and analytics needs. Proactively communicate with clients to provide project updates and address any issues or concerns. Comfortable to travel to meet customers in the US and go deeper on projects Provide mentorship and guidance to junior team members. Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes. Qualifications We are looking for people in Medellin, Colombia with Valid US Visa and 5+ years of experience in data science/analytics, with a proven track record of successfully delivering end-to-end data solutions. Skilled in statistical analysis, exploratory data analysis (EDA), and feature engineering to prepare data for model development. Experience in designing, developing, and deploying machine learning models into production environments. Proficient in supervised and unsupervised learning techniques, such as regression analysis, treebased models, and neural networks. Experience in working with ML modules such as scikit-learn, tensorflow Proficiency in SQL and Python for data manipulation and analysis. Experience in working with python modules such as pandas, numpy, matplotlib Strong understanding of business processes with a proven ability to collaborate with crossfunctional teams, identify pain points, and implement data-driven solutions. Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable; familiarity with cloud platforms such as GCP and AWS is a plus. Experience with modern data stack tools (such as fivetran,dbt) Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision. About 5X We re a global, remote-first company building the platform we wish we had and today, it powers the data teams building what s next. At 5X, we combine deep technical expertise with a culture of ownership, creativity, and fun. Whether youre designing data pipelines or hosting team trivia, we believe in working hard, delivering exponential value, and enjoying the journey. Why work with us We prioritize Outsized Impact: Everything we do is centered around driving exponential value to our customers. Our customers find it impossible to think of a world outside of 5X. We are committed to Holistic Wellness: The 4 empires which determine our overall wellbeing are the mental, emotional, physical and spiritual empires. At 5X prioritize all 4. We wholeheartedly embrace remote work: If we can t build it from a hammock in Bali, we re doing something wrong. 5X fully embraces remote work. We trust you will find the right balance. Transparency is fundamental to us: We put everything on the table for everyone to see. This means that you have our permission to ask the tough questions and we will answer. We dont like playing political games. Togetherness is at the core of our culture: We work together to maximize our potential. We are there for each other and treat others as we expect to be treated. This is the 5X Family and we are better together! Offsite: 1 team offsite a year to incredible destinations.

The role of Asset Predictive Analytics (APA) support for industrial clients involves utilizing data analysis and machine learning techniques to predict potential failures and optimize maintenance strategies for mechanical equipment. As the ideal candidate, you will have a strong understanding of mechanical systems, data analysis, and predictive modeling to enhance equipment reliability and minimize downtime. Your responsibilities will include implementing Asset Predictive Analytics (APA) for major rotating and static equipment, such as compressors, pumps, turbines, motors, blowers, fans, heaters, distillation columns, transformers, and heat exchangers. You will be involved in data collection and analysis, developing and implementing predictive models, and optimizing maintenance schedules based on predictive insights to prevent unplanned downtime. To qualify for this role, you should hold a B.E/B.Tech degree in Mechanical or Chemical Engineering, along with a minimum of 5-7 years of experience in APA within industrial sectors, preferably oil & gas. Proficiency in AVEVA Predictive Analytics or similar solutions, as well as knowledge of reliability principles, tools, and methodologies, is essential. You should also possess strong skills in data analysis, statistical modeling, programming languages like Python or R, and experience in developing predictive models using machine learning algorithms. In addition, you must demonstrate the ability to communicate technical information effectively to both technical and non-technical audiences, engage with stakeholders at a senior level, and work collaboratively with maintenance teams. Your competency should include strong interpersonal skills, a self-aware and self-developmental approach, and a systematic work ethic with attention to detail. The role may involve travel as per business needs. Clients in Energy, Oil & Gas, Refining, Petrochemicals, Chemicals, Mining, Supply Chain, Utilities, Power, and Manufacturing industries will be your primary focus.Embrace change, develop innovative solutions, and challenge the status quo to excel in this dynamic role.,

The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market trends, workforce dynamics, and economic patterns. The role involves cleaning, organizing, and interpreting large-scale datasets to develop innovative models, datasets, and visualizations that provide actionable insights into the future of work. The ideal candidate will demonstrate strong statistical thinking, a solid grasp of machine learning principles, and the ability to apply core methodologies such as predictive modeling, econometric analysis, and time series forecasting. This position requires a collaborative mindset to work cross-functionally, ensuring the seamless integration of analytical insights into Lightcasts products and services. Major Responsibilities: Use SQL, Python, or other analytical tools to query, clean, and analyze large datasets. Analyze labor market trends across dimensions such as workforce composition, job demand, employment patterns, and wage dynamics. Apply advanced techniques including time series forecasting, clustering, regression analysis, and machine learning algorithms (e.g., decision trees, random forests, gradient boosting, support vector machines, k-means clustering) to identify patterns and forecast labor trends. Build and maintain scalable data and model pipelines using orchestration tools like Apache Airflow, Luigi, or Sagemaker Pipelines, and model tracking tools such as MLflow. Collaborate cross-functionally to define problem statements, gather and analyze data, integrate models into products, and translate insights into actionable recommendations for technical and non-technical audiences. Stay informed on advancements in labor market analytics, statistical modeling, and machine learning technologies. Education and Experience: Bachelor s or Master s degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field. 2+ years of industry experience or academic research applying statistical or machine learning approaches to real-world data problems. Proficiency in Python, SQL, and machine learning libraries such as Scikit-learn or PyTorch. Demonstrated ability to write clean, scalable code and independently prototype data solutions. Solid understanding of machine learning techniques such as classification, regression, and time-series forecasting. Experience with cloud platforms (e.g., AWS) and orchestration tools like Apache Airflow for managing large datasets and workflows. Strong statistical reasoning and ability to translate complex data into strategic business insights. Excellent interpersonal, written, and verbal communication skills, with the ability to convey technical topics to diverse audiences. Experience working with large labor market datasets (e.g., government labor statistics, survey data, or job market intelligence platforms) (preferred). 2+ years of experience in labor market analytics, workforce intelligence, or related domains (preferred). Proficiency with data visualization tools such as Tableau, Power BI, or Plotly (preferred). Familiarity with Natural Language Processing (NLP) techniques and applications (preferred). Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) with offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

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. Bachelors or Masters 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 statist

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 Masters 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.

Responsibilities: 1.Advanced Data Analysis & SQL Proficiency in SQL for querying large datasets and performing complex joins, aggregations, and subqueries. 2.Data Visualization & Reporting Expertise in tools like Power BI or Tableau to create interactive dashboards and present insights clearly. 3. Statistical & Analytical Thinking Ability to perform A/B testing, regression analysis, and draw actionable business insights. 4. Python/R for Data Processing Experience with data manipulation libraries (e.g., Pandas, NumPy) for cleaning, transforming, and analyzing data. 5. Business Acumen & Communication Strong stakeholder management and the ability to translate data into business recommendations. Qualifications: Bachelors or Masters degree in a relevant field (e.g., Computer Science, Statistics, Data Science). Proven experience as a Data Analyst or similar role, with at least 3-5 years in a leadership position. Strong proficiency in SQL and Python. Experience with at least one cloud platform (AWS, Azure, Google Cloud). Familiarity with big data platforms such as Databricks is a plus. Experience building dashboards using Tableau, PowerBI, or other BI platforms. Demonstrated experience in generating business insights. Experience in solving machine learning and artificial intelligence problems. Excellent problem-solving and analytical skills. Strong leadership and communication skills. Python, Visualisation, Ml

The role of S&C Global Network - AI - Merchandising Analytics Consultant at Accenture involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. You will provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. The ideal candidate must have relevant experience in the required domain, strong analytical, problem-solving, and communication skills, and the ability to work in a fast-paced, dynamic environment. Key technical skills required for this role include knowledge of SQL, R & Python language, proficiency in at least one cloud-based technology (Azure, AWS, GCP), building price/discount elasticity models, and conducting non-linear optimization. Additionally, familiarity with state space & mixed-effect modeling techniques, AI capability migration experience, econometric/statistical modeling, and proficiency in tools such as Excel, MS Word, and PowerPoint are essential. Strong client communication skills are also important for this role. As part of the Analytics practice at Accenture, you will have the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. You will join a network of smart and driven colleagues experienced in leading statistical tools and methods. The company will invest in your learning and growth, supporting you in expanding your tech stack and certifications. In this role, you will define data requirements for Data Driven Merchandizing capability, clean, analyze, and interpret data, and carry out data quality analysis. Experience in Data Driven Merchandizing, pricing/promotions/assortment optimization capabilities, and proficiency in statistical timeseries models are preferred. You will work on developing AI/ML models in Azure ML tech stack, managing data pipelines, and collaborating with the team to create insights presentations and client-ready decks. Mentoring and guiding junior resources, strong communication skills, logical thinking, and task management knowledge are also key aspects of this role. Overall, this role offers the opportunity to work on cutting-edge projects, enhance your analytical and technical skills, and contribute to business performance improvement initiatives at Accenture.,