Data Scientist

About The Opportunity

A fast-scaling analytics and AI solutions provider operating across India, we empower enterprises to transform raw data into predictive insights, automated decision engines, and customer-centric AI products. Our Data Scientists work at the intersection of business strategy and machine learning—shipping models that drive revenue, reduce churn, and optimize operations for clients in fintech, retail, and healthcare. We value technical depth, production mindset, and the ability to translate ambiguity into deployable solutions.

Role & Responsibilities

• Design, train, and deploy ML models (supervised/unsupervised) that solve real business problems—customer segmentation, fraud detection, demand forecasting.
• Translate business KPIs into measurable ML objectives and define success metrics aligned with stakeholder outcomes.
• Build end-to-end pipelines: data cleaning ➜ feature engineering ➜ model training ➜ A/B testing ➜ MLOps deployment.
• Collaborate with engineers to productionize models using cloud platforms (AWS/GCP) and containerization tools (Docker, Kubernetes).
• Conduct statistical analysis to validate model performance, detect bias, and recommend retraining triggers.
• Present insights and model logic to non-technical stakeholders using dashboards (Tableau, Power BI) and clear visual storytelling.
  
  

• Python
• Scikit-learn
• Pandas
• NumPy
• SQL
• Machine Learning
• Model Evaluation Metrics
• Feature Engineering
  
  

• TensorFlow or PyTorch
• Spark MLlib
• Cloud Platforms (AWS SageMaker / GCP Vertex AI)
  
  

• Work onsite with cross-functional teams in a collaborative, innovation-driven environment.
• Access to upskilling programs, conference stipends, and internal AI hackathons.
• Impact-driven work—your models directly influence client ROI and operational efficiency.