Data Scientist

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About the Role

We are hiring an experienced Data Scientist with strong expertise in machine learning, statistical modeling, data engineering, and enterprise-scale analytics. You will build predictive models, generate insights, and collaborate with cross-functional teams to deliver high-impact data solutions.

Key Responsibilities

• Build ML models using Python/R (scikit-learn, TensorFlow, PyTorch, NumPy, pandas).
• Perform exploratory data analysis (EDA), feature engineering, and model optimization.
• Develop dashboards using Power BI/Tableau and analytical visuals (Matplotlib/Seaborn).
• Create enterprise-grade SQL pipelines for ingestion, transformation, and modeling.
• Work with data engineering teams on Airflow, Spark, cloud ML services.
• Deploy ML models on cloud platforms (AWS SageMaker, Azure ML, GCP AI Platform).
• Conduct model evaluation, retraining, and monitoring.
• Communicate insights to business stakeholders with data storytelling.
• Collaborate with product, engineering, and BI teams for end-to-end project delivery.

Required Skills

• 8 years of experience in Data Science / ML.
• Strong ML and statistical modeling knowledge.
• Excellent Python or R coding skills.
• Visualization skills: Power BI, Tableau, Matplotlib, Seaborn.
• Strong SQL proficiency and experience in data pipelines (Airflow, Spark).
• Experience in cloud ML platforms: AWS SageMaker / Azure ML / Google AI.
• Strong communication and business problem-solving ability.

Good to Have

• Deep Learning (TensorFlow/PyTorch)
• NLP / Time Series
• MLOps / CI-CD
• Certifications (AWS ML, Azure DP-100, GCP ML Engineer)