Data Scientist - Fully Remote - Full Time

Position: Data Scientist
Location : PAN India (Hybrid/Remote)
Employment Type : Full-time
Celebrating over fifteen years of innovative and collaborative work, Athena Infonomics has established itself as a data-driven global consultancy that leverages social science research, data science, and technology to provide user-centric, context-specific solutions and advice to decision makers. Our multidisciplinary and multi-cultural team of 75+ professionals spread across Asia, Africa, US and Europe exemplify extensive experience in designing and applying research methods to co-design and co-produce useful research that is inclusive and relevant.
Our team of data scientists apply agile programming and ICT tools in order to deliver responsive and practical data and digital solutions—making for an innovative, technology-oriented business model that sets us apart in the international development space.
The international business community is taking notice of this unique approach: in 2021 alone, Athena Infonomics was recognized on The Financial Times, Nikkei Asia, and Statista's High-Growth Companies Asia-Pacific 2021 and 2022 ranking, and was selected as one of The Economic Times and Statista's 2021, 2022 and 2023 India Growth Champions.
We are looking for a curious, motivated, and detail-oriented Data Scientist to join our growing analytics and data science team. This role is ideal for someone at an early stage of their data science career who is eager to apply analytical techniques, develop strong technical foundations, and work on real-world, impact-driven projects across policy, research, and digital innovation domains.
In this role, you will actively support the end-to-end data science workflow, beginning with data collection, cleaning, validation, and exploratory analysis across structured and unstructured datasets from multiple sources. You will work closely with senior data scientists and analysts to transform raw data into high-quality, analysis-ready datasets that enable robust insights and model development.
You will assist in the development, testing, and refinement of machine learning and AI/ML models, gaining hands-on exposure to applied analytics, predictive modeling, and emerging AI techniques. Under guidance, you will help implement analytical logic in Python and related tools, contribute to model evaluation, and support iterative improvements based on performance and feedback.
A key part of the role involves creating dashboards, visualizations, and analytical reports using tools such as Power BI or similar platforms. You will help translate analytical outputs into clear, intuitive visuals and narratives that enable non-technical stakeholders to understand trends, patterns, and implications for decision-making.
You will also support projects involving GIS and spatial data analysis, assisting with the processing, mapping, and interpretation of geospatial datasets using GIS tools. This includes contributing to spatial visualizations and basic spatial analytics for location-based insights relevant to development, policy, and programmatic contexts.
Throughout your work, you will collaborate closely with senior team members, data engineers, and domain experts, learning best practices in analytics, documentation, and reproducible research. You will be responsible for clearly documenting data sources, methodologies, code, and findings to ensure transparency, knowledge sharing, and continuity across projects.
Support machine learning and AI & ML model development
Create dashboards and reports using Power BI or similar tools
Assist with GIS and spatial data analysis
Bachelor's or Master's degree in Data Science, Statistics, Computer Science, GIS, or related fields
Minimum 2 and up to 4 years of experience
Basic proficiency in Python
Familiarity with data visualization tools
Proficiency in LLM Models and Gen AI
Basic GIS knowledge
Cloud platform familiarity
Travel
~ He/she may need to travel depending on project needs / company requirement.

Athena Infonomics is an equal opportunity employer with a commitment to diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.