Data Scientist

About the role

We are seeking a Data Scientist to join a leading Fortune 500 product‑based company in the United States. You will work on large‑scale data platforms, develop advanced machine‑learning solutions, and create data‑driven products used by 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.
• Build statistical models to solve real‑world business problems.
• Collaborate with software engineers, data engineers, product managers, and stakeholders to deliver data‑driven solutions.
• Create dashboards, reports, and visualizations to communicate insights.
• Perform feature engineering, model evaluation, and optimization for production‑grade models.
• Develop forecasting, recommendation, classification, and clustering models.
• Support A/B testing, experimentation, and performance measurement initiatives.

Required profile

• 2+ years of experience in data science, machine learning, analytics, or a related field.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline.
• Strong analytical, problem‑solving, and communication skills.
• Experience in a product‑focused environment is preferred.

Required skills

• Python
• SQL
• Scikit‑Learn, TensorFlow, PyTorch, XGBoost
• Tableau, Power BI, Looker
• AWS, Azure, GCP
• Spark, Databricks
• MLOps tools and model deployment practices
• Generative AI, NLP, Large Language Models
• A/B testing and experimentation frameworks
• Recommendation systems and customer analytics

What we offer

• Opportunity to work with a Fortune 500 product‑based organization.
• Exposure to enterprise‑scale data science and machine‑learning projects.
• Collaborative, innovation‑driven work environment.
• Competitive compensation package.
• Long‑term career growth and advancement opportunities.
• Access to modern technologies and data‑driven decision‑making initiatives.