Senior Data Scientist

Job Title: Senior Data Scientist

Experience Required: 3+ Years

Employment Type: Full-time

About the Role

Senior Data Scientist

Key Responsibilities

• Lead end-to-end data science projects from problem definition to solution deployment.
• Develop predictive and prescriptive models using advanced machine learning and statistical techniques.
• Collaborate with stakeholders to understand business requirements and translate them into analytical problems.
• Perform data wrangling, feature engineering, and exploratory data analysis to extract insights.
• Work closely with engineering teams to productionize ML models and ensure scalability.
• Mentor junior data scientists and guide them on best practices.
• Communicate complex findings in a clear, concise, and business-friendly manner.

Required Skills & Qualifications

• Bachelor’s or Master’s in Computer Science, Statistics, Mathematics, Data Science, or related field (Ph.D. preferred).
• 3+ years of experience in Data Science / Machine Learning roles.
• Strong proficiency in Python / R and data manipulation libraries (pandas, NumPy, scikit-learn, etc.).
• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
• Solid understanding of statistical modeling, probability, and hypothesis testing.
• Hands-on experience with SQL and working with large-scale datasets.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps practices.
• Excellent problem-solving and communication skills.

Good to Have

• Experience in Natural Language Processing (NLP) / Computer Vision.
• Exposure to Big Data tools (Spark, Hadoop).
• Knowledge of data visualization tools (Tableau, Power BI, matplotlib, seaborn).