Ajna Lens - Senior Data Scientist - Artificial Intelligence/Machine Learning

Description :

AjnaLens is looking for a Senior Data Scientist to join our Product Engineering team at Thane (Maharashtra India). The ideal candidate should have strong engineering foundations and hands-on experience in building predictive models, statistical analyses, and production-ready data science solutions. This role goes beyond traditional data science, requiring close collaboration with engineering teams, robust software development practices, and the ability to translate complex data into actionable business insights in a purpose-driven environment.

Were proud to share that Lenskart is now our strategic investor, a milestone that reflects the impact, potential, and purpose of the path were walking. Join us as we create the future of conscious, data-driven technology.

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Who are we looking for :

We are looking for a Data Scientist with strong software engineering skills who can design, build, and deploy machine learning models while ensuring code quality, scalability, and maintainability. The ideal candidate has a solid grounding in statistics, experience across the data science lifecycle, and the ability to collaborate effectively with engineers, domain experts, and stakeholders.

Top 3 Daily Tasks :

- Design, develop, and validate machine learning models for classification, regression, and clustering problems.

- Perform exploratory data analysis and statistical evaluations to identify trends, anomalies, and modeling opportunities.

- Build and deploy production-ready data science solutions, including APIs and data pipelines, in collaboration with engineering teams.

Minimum work experience is required :

- Minimum 8 years of hands-on experience in designing, building, deploying, and maintaining production-grade data science and machine learning solutions.

Top 5 Skills you should possess :

- Strong proficiency in Python with a focus on clean, maintainable, production-quality code

- Solid foundation in statistics, experimental design, and hypothesis testing

- Experience building and deploying ML models using PyTorch, TensorFlow, or scikit-learn

- Proficiency in SQL and data manipulation using Pandas or similar tools

- Experience building REST APIs using FastAPI, Flask, or similar frameworks

What would you be expected to do :

- Design, develop, and validate machine learning models for classification, regression, and clustering use cases

- Conduct exploratory data analysis to uncover patterns, trends, and anomalies

- Build and maintain data preprocessing pipelines ensuring data quality and reproducibility

- Develop APIs and services to expose model predictions using FastAPI or similar frameworks

- Collaborate with domain experts and stakeholders to define problem statements, success metrics, and validation criteria

- Perform rigorous model evaluation including cross-validation, hyperparameter tuning, and benchmarking

- Design and execute A/B tests and statistical analyses to measure impact and validate hypotheses

- Write production-quality code with appropriate testing, documentation, and error handling

- Work closely with data engineers to define data requirements and ensure reliable data pipelines

- Present insights, findings, and model performance to both technical and non-technical audiences.