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Job Title


Media Data Scientist (2-4yrs) - TOP GCC Bangalore - ASAP Joiner!!!


Company : Anlage Infotech (India) P Ltd


Location : Bengaluru, Karnataka


Created : 2026-01-26


Job Type : Full Time


Job Description

Hi,Greetings for the day!!!One of our client - GCC an global consumer health company headquartered in New Jersey. Consumer & Business Intelligence (CBI) Analytics function within the company focuses on driving consumer and business insights through advanced analytics, supporting global brands with data-driven decision-making from a centralized Global Capability Center.Urgently looking out for Media Data ScientistLocation-BangaloreYears of experience-2-5 YrsPermanent opportunity with Anlage Infotech for a project with one of our GCC clients, based in Bangalore.Responsibilities: Develop and implement advanced analytics models for customer lifetime value, anomalydetection, and media mix modeling. Solve complex media optimization problems and conduct A/B testing to evaluate proposedsolutions. Partner with domain leads and business stakeholders to clearly understand businessrequirements; design and develop analytical and AI solutions to Drive recommendations that areclearly linked to the organization's strategy and OKRs and drive performance improvement. Support the domain leads and business teams to solve complex analytical challenges. Work closely with cross-functional teams of business partners, data scientists, data engineers,solutions, and data architects to quickly deliver scalable Artificial Intelligence (AI) solutionsincluding DL, ML, NLP, optimization etc. Development, deployment, and maintenance of scalable AI solutions including the optimizationof data queries, code refactoring, shared library usage and documentation of process andsolution artifacts. Research and promote latest technologies, design patterns and best practice delivery modelsthat drive optimal business value and ensure continuous improvement of team, processes, andplatforms. Drive recommendations that are clearly linked to the organization's strategy and OKRs and driveperformance improvement. Employ innovative thinking and always seeking the best ways of working for our teams andbusiness partners.What We Are Looking ForRequired Qualifications: A minimum of a bachelor’s degree in Computer Science, Data Science, Machine Learning,Mathematics, Statistics, Economics, or other related fields with emphasis on quantitativemethods and solutions. An advanced degree in a similar field is preferred. Experience in developing and implementing advanced analytics models such as CustomerLifetime Value, NLP, Look-Alike models, and Anomaly Detection. Familiarity with large language models (LLMs) and generative AI is highly desirable. Ability to write (and refactor) robust code in Python, Spark, SQL employing best practice codingstandards and documentation. Proven experience with Databricks platform, Snowflake, and Azure cloud services. Experience in MLOps techniques, including CI/CD pipelines, automated testing, and modelmonitoring. Experience with BI tools such as PowerBI, DOMO and Tableau. Strong understanding of machine learning algorithms, data structures, and software designprinciples. Excellent problem-solving skills and the ability to work in a fast-paced, collaborativeenvironment. Strong communication and interpersonal skills with the ability to collaborate and partner acrossdiverse global multi-functional teams.Desired Qualifications: Experience with classification model, time series forecasting, customer lifetime value model,large language models (LLMs) and generative AI. Preferably from Retail, eCommerce or CPG industryIn case you are interested in the above mentioned opportunity, would request you to kindly fill in the below mentioned detailsTotal Years of experience:Relevant experience in Media mix modeling/Media Optimization:Relevant experience in classification model, time series forecasting, customer lifetime value model,large language models (LLMs) and generative AI:Domain experience (Retail/ecommerce/CPG):Educational Qualification:Current CTC:Expected CTC:Immediate Joiner (Yes/No):Currect Location:Preferred location:Interested candidates can share across their updated resume at ramandeep.k@