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 turn complex data into actionable insights for millions of customers worldwide.

Key responsibilities

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

Required profile

• 2+ years of experience in data science, machine learning, analytics, or a related field.
• 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 discipline.

Required skills

• Python
• SQL
• Scikit‑Learn
• TensorFlow
• PyTorch
• XGBoost
• Tableau
• Power BI
• Looker
• AWS
• Azure
• GCP
• Spark
• Databricks
• MLOps tools

What we offer

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