Senior Data Scientist

Senior Data Scientist

Location-PAN India

• We are looking for Senior Data Scientist work-ex who also has a deep expertise in
• setting up Digital transformation projects specific to AI/ ML/DL. The ideal candidate is
• adept at understanding large data sets to find opportunities for product and process
• optimization and using models to test the effectiveness of different courses of action.
• They must have strong experience understanding a variety of data mining/data
• analysis methods, using a variety of data tools, building, and implementing models,
• using/creating algorithms and creating/running simulations. They must have a proven
• ability to drive business results with their assessment of as-is and to-be frameworks.
• They must be comfortable working with a wide range of stakeholders and functional
• teams. The right candidate will have a passion for discovering solutions hidden in large
• data sets and working with stakeholders to improve business outcomes.
• • Work with stakeholders throughout the organization to identify opportunities
• for leveraging company data to drive business solutions.
• • Mine and analyse data from company databases to drive optimization and
• improvement of product development, marketing techniques and business
• strategies.
• • Create new insights within Supply by having data models and algorithms in
• place to enable prediction, optimization, and simulation.
• • Assess the effectiveness and accuracy of new data sources and data gathering
• techniques.
• • Understand predictive modelling to increase and optimize customer
• experiences, revenue generation, ad targeting and other business outcomes.

• Understand A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor

• outcomes.
• • Develop processes and tools to monitor and analyse model performance and
• data accuracy.

Your Qualifications

• • Extensive experience in Generative AI – The ideal candidate should have
• comprehensive experience in full lifecycle implementations.
• • Experience using statistical methods with Python to manipulate data and draw
• insights from data sets.
• • At least 6 to 14 years of experience in Python/ Pyspark with hands on delivery
• experience; Pandas/ NumPy, TensorFlow, Flask/ FastAPI, scikit-learn
• • 4+ years stakeholders management including the Executive teams, Product
• teams, Data and Design teams to assist with data-related issues and support
• their data explorations; Industrial domain work experience would be given
• higher weightage.
• • 4+ years of experience in Prediction, Machine learning, Artificial Intelligence:
• Feature engineering, Model-training, Model-finetuning, model deployment
• • Knowledge of a variety of machine learning techniques (clustering, decision
• tree learning, artificial neural networks, etc.) and their real-world
• advantages/drawbacks.