Data Scientist – Machine Learning & Analytics

About the role

We are seeking a Data Scientist to join a Fortune 500 product‑based organization in the United States. You will work on large‑scale data platforms, develop advanced machine‑learning solutions, and help shape data‑driven products used by millions worldwide.

Key responsibilities

• Analyze large, complex datasets to uncover trends, patterns, and business opportunities.
• Design, validate, and deploy predictive and machine‑learning models for forecasting, recommendation, classification, and clustering.
• Collaborate with software engineers, data engineers, product managers, and business stakeholders to build end‑to‑end data solutions.
• Create dashboards, reports, and visualizations to communicate insights effectively.
• Perform feature engineering, model evaluation, and optimization for production‑grade models.
• Support A/B testing, experimentation, and performance measurement initiatives.

Required profile

• 2+ years of experience in data science, machine learning, or analytics.
• Strong proficiency in Python and SQL.
• Solid understanding of statistics, probability, and predictive modeling techniques.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.

Required skills

• Python, SQL
• Scikit‑Learn, TensorFlow, PyTorch, XGBoost
• Tableau, Power BI, Looker
• AWS, Azure, GCP
• Spark, Databricks
• Generative AI, NLP, Large Language Models
• MLOps tools and model deployment practices

What we offer

• Opportunity to work on enterprise‑scale data science and machine‑learning projects.
• Collaborative, innovation‑driven environment.
• Competitive compensation and long‑term career growth.
• Access to modern technologies and data‑driven decision‑making initiatives.