Senior Data Scientist

Location: Bengaluru

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/ Num Py, Tensor Flow, 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-fine tuning, model deployment

• Knowledge of a variety of machine learning techniques (clustering, decision
tree learning, artificial neural networks, etc.) and their real-world
advantages/drawbacks.