Data Scientist

Summary

We are hiring a Data Scientist on behalf of one of our prestigious Fortune 500 Product-Based clients in the United States. This is an exciting opportunity to work on large-scale data platforms, advanced machine learning solutions, and data-driven products used by millions of customers worldwide.

The ideal candidate should have hands‑on experience in statistical analysis, predictive modeling, machine learning, and transforming complex data into actionable business insights within a fast‑paced product environment.

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

• 2+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
• Strong proficiency in Python and SQL.
• Experience with machine learning frameworks such as Scikit‑Learn, Tensor Flow, PyTorch, or XGBoost.
• Strong understanding of statistics, probability, and predictive modeling techniques.
• Experience working with structured and unstructured datasets.
• Knowledge of data visualization tools such as Tableau, Power BI, or Looker.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Strong analytical, problem‑solving, and communication skills.
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.

• Experience working in a product‑based company.
• Exposure to Generative AI, NLP, and Large Language Models (LLMs).
• Experience with Spark, Databricks, and big data technologies.
• Familiarity with MLOps tools and model deployment practices.
• Experience with A/B testing and experimentation frameworks.
• Knowledge of recommendation systems and customer analytics.

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

Candidates must be legally authorized to work in the United States. Visa sponsorship is available for eligible candidates.