Data Scientist
About this 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.
• 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