Data Scientist

About the Role

Namaskaram! AjnaLens is looking for a 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.

We’re proud to share that Lenskart is now our strategic investor , a milestone that reflects the impact, potential, and purpose of the path we’re walking. Join us as we create the future of conscious, data-driven technology . 👉 Read more here: The smartphone era is peaking. The next computing revolution is here.

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 5 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.

Job Details

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