Data Scientist

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.
• 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, TensorFlow, 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.

Skills

• SQL
• Data Science
• Python
• TensorFlow
• Data Analytics
• Generative AI
• Azure
• AWS
• Tableau
• MLOps
• Machine Learning
• GCP
• Power BI