Senior Data Scientist

2 days ago

India D Square Consulting Services Pvt Ltd Full time
Data Scientist - Media Analytics   Experience:  7–8 years 

We are looking for a Senior Data Scientist to Support Media Use Cases with strong expertise in  Media Analytics  and a proven track record in driving marketing measurement and optimization. The role will be responsible for delivering actionable insights, evaluating marketing effectiveness, and driving data-backed recommendations to optimize media investments.

Required Skills & Experience  

~7–8 years of experience in Data Science/Analytics with a strong focus on  media measurement ,  marketing effectiveness , and performance optimization. 

~ A minimum of a bachelor's 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 Power BI, DOMO, and Tableau. 

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

~ Experience with classification models, time series forecasting, customer lifetime value models, large language models (LLMs), and generative AI. 

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. 

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. 

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. 

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

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