Job Description :

Role Overview :

We are looking for a highly skilled Senior Data Scientist to drive data-driven decision-making, build advanced models, and translate complex data into meaningful insights. The ideal candidate has strong hands-on experience with Python/R, SQL, machine learning, and data visualization tools.

Key Responsibilities :

- Build predictive, classification, clustering, and forecasting models using machine learning and statistical techniques.

- Perform deep exploratory data analysis (EDA) to uncover patterns, trends, and actionable insights.

- Work with SQL databases to extract, prepare, clean, and transform large datasets.

- Develop automated data pipelines and support deployment of ML models into production.

- Create dashboards and visual reports using Tableau, Power BI, or similar tools.

- Communicate analytical findings clearly to technical and non-technical stakeholders.

- Collaborate with Product, Engineering, and Business teams to solve key business problems.

- Mentor junior data team members and contribute to best practices.

Required Skills :

- Strong programming skills in Python or R for data processing and model building.

- Proficient in SQL and relational database querying.

- Hands-on experience with data visualization tools (Tableau/Power BI).

- Solid understanding of machine learning algorithms and statistical concepts.

- Experience with frameworks like Scikit-learn, and familiarity with TensorFlow/PyTorch is a

plus.

- Strong analytical thinking, problem-solving capability, and communication skills.

Preferred Qualifications :

- Bachelors or Masters degree in Data Science, Computer Science, Statistics, or related field.

- Experience working with large datasets or Big Data platforms (Spark/Hadoop).

- Exposure to cloud platforms (AWS/GCP/Azure) and MLOps practices.

- Previous experience in building and deploying end-to-end ML solutions.