Data Science Manager

2 weeks ago

Bengaluru, India Neemtree Full time

Key Responsibilities :- Lead, mentor, and grow a team of data scientists and analysts. - Collaborate with business, product, and engineering teams to define project scopes and priorities. - Translate complex business problems into measurable data science solutions. - Own the roadmap for analytics, machine learning, and experimentation initiatives. - Design, build, and deploy ML/statistical models (classification, NLP, forecasting, clustering, etc.). - Oversee the full data science lifecycle: problem scoping data exploration modeling evaluation deployment. - Ensure model performance, scalability, and continuous improvement. - Work with data engineering teams to improve data pipelines, data quality, and automation. - Build dashboards, reports, and data products to support decision-making. - Present insights, model results, and recommendations to senior stakeholders. - Communicate technical concepts in a clear, business-friendly manner. - Manage project timelines, stakeholder expectations, and cross-functional alignment. Required Skills & Experience :- 4- 8 years of industry experience in Data Science, Analytics, or ML Engineering. 2+ years of experience leading teams (formal or informal). - Strong programming skills in Python/R, experience with ML libraries (scikit-learn, TensorFlow, PyTorch). - Solid statistical foundation and expertise in ML algorithms. - Proficiency in SQL and working with large datasets. - Experience with MLOps tools (MLflow, Airflow, Docker, etc.) is a plus. - Strong business problem-solving skills and ability to drive measurable impact. - Experience in A/B testing, experimentation, or causal inference (added advantage). Nice-to-Have :- Experience in product-based or high-growth tech environments. - Exposure to cloud platforms (AWS, GCP, Azure) and modern data warehouses (Snowflake, BigQuery, Redshift). - Experience building and deploying scalable ML solutions in production. (ref:hirist.tech)

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