Job Role: Data Scientist
Location: California or Texas (Onsite Role)
Key responsibilities
Collect, clean, and analyze large datasets from multiple sources (internal systems, APls, third-party data providers)
Develop, train, and deploy predictive and prescriptive models using statistical, machine learning, and deep learning techniques
Design experiments (A/B testing, hypothesis testing) and measure outcomes to guide product and process improvements
Ensure data handling practices comply with privacy, governance, and regulatory requirements (GDPR, DPDP, HIPAA, etc.)
Proficiency in programming languages such as Python or R, with hands-on experience in ML – libraries (scikit-learn, TensorFlow, PyTorch)
Strong SQL skills and familiarity with data manipulation tools (Pandas, Spark, etc.)
Experience with data visualization tools (Tableau, Power Bi, matplotlib, seaborn, Looker)
Understanding of cloud platforms (AWS, GCP, Azure) for data and ML model deployment
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field
Experience deploying models in production (MLOps practices, CI/CD for ML)
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