Data Science Lead

7 days ago

Hyderabad, Telangana, India Algoleap Technologies Full time ₹ 12,00,000 - ₹ 36,00,000 per year

SUMMARY

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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