Role & responsibilities

- Lead the design, development, and deployment of advanced machine learning and data science solutions.
- Translate complex business problems into data-driven solutions and actionable insights.
- Develop and optimize predictive models, statistical models, and AI/ML algorithms.
- Work with large and complex datasets to identify trends, patterns, and business opportunities.
- Lead end-to-end data science projects, from problem formulation and experimentation to production deployment.
- Collaborate with engineering, product, business, and analytics teams to deliver scalable solutions.
- Mentor and guide junior and mid-level data scientists and contribute to technical best practices.
- Design and evaluate experiments, A/B tests, and model performance metrics.
- Apply modern AI techniques, including deep learning, NLP, Generative AI, and LLM-based solutions where relevant.
- Establish best practices for model development, validation, deployment, monitoring, and MLOps.
- Present technical findings, model results, and business recommendations to senior stakeholders.
- Stay current with emerging developments in AI, machine learning, data science, and cloud technologies.

Preferred candidate profile

- 5 to 10 years of relevant experience in Data Science, Machine Learning, AI,



or a related quantitative field.
- Strong proficiency in Python and SQL, with hands-on experience in machine learning and statistical modeling.
- Strong foundation in statistics, probability, machine learning, and experimental design.
- Experience building and deploying production-grade ML models and data products.
- Hands-on experience with deep learning, NLP, Generative AI, or LLMs is preferred.
- Experience with cloud platforms such as AWS, Azure, or GCP and modern data/ML platforms.
- Familiarity with MLOps tools and practices, including MLflow, Docker, CI/CD, model monitoring, and model deployment.
- Experience working with large-scale data using technologies such as Spark, Databricks, or equivalent platforms.
- Robust problem-solving, analytical, communication, and stakeholder-management skills.
- Demonstrated ability to lead projects independently and mentor other data scientists.
- Bachelors or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Economics, or another quantitative discipline.
- Robust business acumen with the ability to connect technical solutions to measurable business outcomes.

📌 Lead Data Scientist (India)
🏢 Good Co India
📍 India