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.

Responsibilities

• 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.

Qualifications

• 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.

Preferred

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.

What We Offer

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.

Work AuthorizationCandidates must be legally authorized to work in the United States.

Visa sponsorship is available for eligible candidates.

Skills

• tableau,power bi,gcp,generative ai,sql,data science,aws,azure,python,data analytics,machine learning,tensorflow