Data Scientist

Key Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Build, train, and validate machine learning and statistical models.
• Develop predictive algorithms for business forecasting and decision-making.
• Perform data cleaning, wrangling, and feature engineering to create high-quality input for models.
• Collaborate with product, engineering, and business teams to solve real-world problems using data-driven methods.
• Communicate findings through clear visualizations, dashboards, and presentations.
• Deploy models into production using tools such as MLflow, Docker, AWS/Azure/GCP.
• Develop and maintain ETL pipelines in coordination with data engineering teams.
• Conduct A/B testing and model performance evaluation.
• Stay updated with latest advancements in AI/ML, deep learning, and data science methodologies.

Required Skills & Qualifications

• Strong programming skills in Python and/or R.
• Expertise in machine learning libraries like Scikit-learn, TensorFlow, PyTorch.
• Solid understanding of statistics, probability, and mathematical modeling.
• Proficiency in SQL, data manipulation, and working with structured/unstructured data.
• Experience with visualization tools: Power BI, Tableau, Matplotlib, Seaborn.
• Knowledge of cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving, analytical thinking, and communication skills.

Job Type: Full-time

Work Location: In person