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JD- Sr.Data Scientist AI/ML
Please consider the below requirements while sourcing candidates for the Data Scientist AI/ML role
to ensure accurate profiles are shared.
Mandatory Skills & Experience:
Looking for a Senior Data Scientist with 10 years of experience, including 5–7 years of
relevant strong hands-on Machine Learning expertise.
Good communication skills with the ability to present and explain solutions effectively to
stakeholders
Experience in Media Optimization and understanding of media performance data
Ability to analyze data and derive meaningful insights
Strong proficiency in Python, R, and SQL
Experience with cloud platforms such as AWS (S3, Redshift, SageMaker), Google Cloud
Platform, Databricks, Snowflake, and Azure
Experience with version control tools like GitHub/GitLab/Bitbucket
Hands-on experience with Jupyter Notebook/Lab
Basic experience with data visualization tools such as Domo, Tableau, and Power BI
(dashboard development is not mandatory, but the ability to create effective visuals for
communication is required)
Additional Advantage:
Exposure to Generative AI concepts and projects would be a plus, as there may be
opportunities to contribute to future GenAI initiatives.
The role focuses on creating data science solutions to optimize media performance. The candidate
should have the ability to work on solutions as well as effectively communicate and present insights
to business stakeholders
Data Analysts
Data Scientist
Software Engineer
Data Engineer
Lead Data Scientist
Principal Data Scientist
Senior Machine Learning Engineer
Python - 5 years
SQL - 5 years
Machine Learning - 7 years
Databricks - 3 years
Data Science - 7 years
media performance data - 5 years
AWS - 3 years
Google Cloud - 3 years
Azure - 3 years
Redshift - 3 years
Snowflake - 3 years
Generative AI - 3 years
Media Optimization - 5 years
Jupyter-Notebook - 4 years