Data Science Lead
- Category: IT Engineer & Developer Jobs
- Location: Hyderabad, Andhra Pradesh
- Job Type: Full Time / Part Time
- Salary: Estimated: $ 19K to 35K
- Published on: 2025/09/16
Job Title: Data Science Lead – CoE
Location: Hyderabad, India (Hybrid)
Experience: 10+ years
Role Type: Full-time
Start Date : Immediate
About The Role
As we build our Data Science Center of Excellence (CoE), we are looking for an entrepreneurial and technically strong Data Science Lead who can lay the foundation for a high-performing team. You will work directly with stakeholders across multiple business units to define use cases, lead model development, and ensure successful deployment and value realization.
Key Responsibilities
• Serve as the technical and strategic lead for the Data Science CoE.
• Partner with business leaders to identify use cases, assess feasibility, and define measurable outcomes.
• Design end-to-end data science solutions — from problem framing and data exploration to model development and deployment.
• Build and mentor a team of data scientists as the CoE scales.
• Promote best practices in experimentation, model development, versioning, documentation, and governance.
• Collaborate closely with engineering and data platform teams for scalable solution delivery.
• Evangelize data science best practices and build credibility through delivery of impactful projects.
Qualifications
• 10+ years of experience in applied data science, machine learning, or AI solutioning.
• Strong portfolio of business-impacting projects across domains such as customer analytics, personalization, marketing, pricing, operations, or product.
• Experience working with cloud platforms (AWS, Azure, or GCP) and modern data science tools (Python, R, SQL, etc.).
• Strong stakeholder management and communication skills to explain complex models in simple business terms.
• Prior experience in setting up data science teams, mentoring junior talent, and working in a cross-functional delivery environment.
• Exposure to MLOps and model deployment in production systems is a plus.
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