Data Science Developer

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.

• India’s 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 people’s practices which are all aimed at enabling fast paced growth for those who deserve it.