Senior Data Scientist

Your Contribution

Highly experienced Senior Data Scientist to design, deliver, and scale high impact, production grade data science and applied AI solutions. This role requires deep expertise in statistical analysis, machine learning, and Generative AI, along with strong ownership of the end-to-end data science lifecycle.

You will work closely with business, analytics, engineering, and platform teams to translate complex business needs into scalable, reliable, and measurable data science solutions. While collaborating cross functionally, you will retain primary accountability for solution design, model development, deployment, and continuous optimization.

Your Experience and Qualification

Educational Background

B.Tech/B.S./ M.S. in Computer Science, Statistics, Mathematics, or a related field

Professional Experience

6–10 years of hands-on experience in data science, machine learning, or AI engineering roles

Proven experience delivering production-grade machine learning or AI solutions

Technical Skills

Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch and/or TensorFlow)

Deep experience with:

Supervised, unsupervised, and reinforcement learning techniques

Statistical modeling, experimentation, and hypothesis testing

Strong SQL skills and experience with big data technologies such as:

Spark, Hive, Presto, Databricks, or equivalent

Experience working with cloud platforms (Azure, AWS, or GCP)

Exposure to MLOps tools and practices (model versioning, CI/CD, monitoring)

Familiarity with orchestration frameworks such as Airflow or Kubeflow

Experience with AI platforms, analytics platforms, or conversational AI systems

Key Responsibilities

Data Science & Advanced Analytics