Senior Data Scientist

8+ years of practical experience in data science, including deploying models to production.

Expertise in Python and SQL;

Solid background in ML frameworks such as scikit-learn, TensorFlow, PyTorch, and XGBoost.

Competence in data visualization tools like Tableau, Power BI, matplotlib, and Plotly.

Comprehensive knowledge of statistics, machine learning principles, and experimental design.

Experience with cloud platforms (AWS, GCP, or Azure) and Git for version control.

Exposure to MLOps tools and methodologies (e.g., MLflow, Kubeflow, Docker, CI/CD).

Familiarity with NLP, time series forecasting, or recommendation systems is a plus.

Knowledge of big data technologies (Spark, Hive, Presto) is desirable.

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

Key Responsibilities:

Lead and execute end-to-end data science projects, encompassing problem definition, data exploration, model creation, assessment, and deployment.

Develop and deploy predictive models, optimization techniques, and statistical analyses to address tangible business needs.

Articulate complex findings through clear and persuasive storytelling for both technical experts and non-technical stakeholders.

Spearhead experimentation methodologies, such as A/B testing, to enhance product features and overall business outcomes.

Partner with data engineering teams to establish dependable and scalable data infrastructure and production-ready models.

Guide and mentor junior data scientists, while also fostering team best practices and contributing to research endeavors.

Note: Please send Cv only, who can attend the interview weekdays, with short notice period (max 15 days only)

Job Location: Chennai (Work From Office, working hours are 1:00 PM to 10:00 PM (IST), Monday to Friday)

Job Type: Full-time

Pay: ₹1,558,407.67 - ₹3,626,056.35 per year

Benefits:

• Provident Fund

Work Location: In person