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

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 Scientist

Location-Bangalore

Years of experience-2-5 Yrs

Permanent 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, anomaly

detection, and media mix modeling.

Solve complex media optimization problems and conduct A/B testing to evaluate proposed

solutions.

Partner with domain leads and business stakeholders to clearly understand business

requirements; design and develop analytical and AI solutions to Drive recommendations that are

clearly 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) solutions

including DL, ML, NLP, optimization etc.

Development, deployment, and maintenance of scalable AI solutions including the optimization

of data queries, code refactoring, shared library usage and documentation of process and

solution artifacts.

Research and promote latest technologies, design patterns and best practice delivery models

that drive optimal business value and ensure continuous improvement of team, processes, and

platforms.

Drive recommendations that are clearly linked to the organization's strategy and OKRs and drive

performance improvement.

Employ innovative thinking and always seeking the best ways of working for our teams and

business partners.

What We Are Looking For

Required Qualifications:

A minimum of a bachelors degree in Computer Science, Data Science, Machine Learning,

Mathematics, Statistics, Economics, or other related fields with emphasis on quantitative

methods and solutions. An advanced degree in a similar field is preferred.

Experience in developing and implementing advanced analytics models such as Customer

Lifetime 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 coding

standards and documentation.

Proven experience with Databricks platform, Snowflake, and Azure cloud services.

Experience in MLOps techniques, including CI/CD pipelines, automated testing, and model

monitoring.

Experience with BI tools such as PowerBI, DOMO and Tableau.

Strong understanding of machine learning algorithms, data structures, and software design

principles.

Excellent problem-solving skills and the ability to work in a fast-paced, collaborative

environment.

Strong communication and interpersonal skills with the ability to collaborate and partner across

diverse 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 industry

In case you are interested in the above mentioned opportunity, would request you to kindly fill in the below mentioned details

Total 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