Posted on: 10/07/2025
Your Role and Responsibilities :
- 3+ years of experience in a Data Science, machine learning or a related field.
- Strong hands-on experience in Machine Learning and Statistics focusing on structured and unstructured data problems.
- Practical experience in several of the following areas : time series forecasting, clustering and classification techniques, regression, boosting algorithms, optimization techniques, NLP, recommendation systems, ElasticNet Excellent programming skills preferably in Python/Py spark and SQL.
- Understanding of developing, implementing, deploying machine learning models on the cloud platforms(Azure, AWS, GCP) by using AWS/Azure Machine Learning, Data bricks, or other relevant cloud services.
- Integrate machine learning models into existing systems and applications, ensuring seamless functionality and data flow.
- Understanding of developing and maintaining MLOps pipelines for automated model training, testing, deployment, and monitoring.
- Understanding of monitoring and analysing model performance, providing reports and insights to stakeholders as needed.
- Familiarity with data processing and storage tools, such as SQL, Hadoop, or Spark Advanced engineering abilities to deliver flexible and scalable end-to-end machine learning solutions.
- Exposure to data visualization software and packages (Power BI, Tableau, matplotlib, d3) Understands challenges in business area, applicability of relevant data science disciplines, and system interactions.
- Excellent written and verbal communication skills, confidence in presenting ideas and findings to stakeholders, and ability to do so at the right level of detail.
Required Technical and Professional Expertise :
- Engineering Graduate from a reputed institute and/or Masters in Statistics, MBA.
- 3+ years of Data science experience.
- Strong expertise and deep understanding of machine learning.
- Strong understanding of SQL & Python.
- Knowledge of Power BI or Tableau is a plus.
- Exposure to Industry specific (CPG, Manufacturing) use cases is required.
- Strong client-facing skills.
- Must be organized and detail oriented.
- Excellent communication and interpersonal skills.
Preferred Technical and Professional Experience :
- Strong foundation in Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.
- Proficiency in Ensemble Learning (Random Forest, Gradient Boosting, XGBoost, LightGBM, etc.
- Experience in fine-tuning Large Language Models (LLMs) and working with open-source models (Llama, GPT, BERT, etc.
- Familiarity with Prompt Engineering, RAG (Retrieval-Augmented Generation), and Fine-tuning techniques.
- Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment.
- Familiarity with MLOps and Model Deployment using Kubernetes, Docker, and MLflow.
About Polestar :
- As a data analytics and enterprise planning powerhouse, Polestar Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner.
- From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data.
- We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team.
- We are growing at a rapid pace and plan to double our growth each year.
- This provides immense growth and learning opportunities to those who are choosing to work with Polestar.
- We hire from most of the Premier Undergrad and MBA institutes.
- We are serving customers across 20+ countries.
- Our expertise and deep passion for what we do has brought us many accolades.
The list includes :
- Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM.
- Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023.
- Featured on the Economic Times India's Growth Champions in FY2023.
- Polestar Solutions Selected as a 2022 Red Herring Global Companies.
- Top Data Science Providers in India 2023 : Penetration and Maturity (PeMa) Quadrant.
- Indias most promising data science companies in 2022 by Analytics Insight.
- Featured on Forrester's Now Tech : Customer Analytics Service Providers Report Q2, 2021.
- Recognized as Anaplan's India RSI Partner of the Year FY21.
- Elite Qlik Partner and a member of the Qlik Partner Advisory Council & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar.
- We have one of the most progressive peoples practices which are all aimed at enabling fast paced growth for those who deserve it.
Did you find something suspicious?