Work with project teams and clients to use advanced analytics to drive social impact.

Responsibilities

• Working with clients to understand their needs: Understanding their current processes and pain points and identifying which of these can be framed as a tractable data science problem.
• Designing, testing, and improving various algorithms: From OOTB sci-kit-learn algorithms to bespoke ones.
• Working with Large Language Models to build reliable and safe AI solutions.
• Working on various parts of the solutions – frontend, backend, deployment, etc.
• Using satellite imagery and geospatial tools to identify suitable land parcels for solar parks.
• Using solvers to optimize resource allocation for a health or education system.
• Synthesising, visualizing, and communicating results: Dashboards, plots, interactive viz, presentations, and reports.
• Write blog posts or present on lessons learned.

Skillset

• Proficiency working in Python is required. Please do not apply if you are not proficient in standard data science packages in Python (numpy, pandas, scikit learn, etc.). The application will ask you specific questions about your Python abilities.
• Proficiency in understanding and coding standard supervised and unsupervised machine learning algorithms and components of the data science pipeline – data cleaning, feature selection, cross-validation, parameter tuning, etc.
• Experience building solutions using Large Language Model.
• Sound foundations in statistics and probability.
• Working knowledge of SQL.
• B.S./B.S.E. degree in Applied Math, Data Science, Computer Science, Physics, or a Similar Technical Field.

Spot any inaccurate information? Have a job to share? Let us know.