Who we are:

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.

We are a Great Place to Work-Certified- (2022-25), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the 'Best' and 'Fastest Growing' analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

Curious about the role? What your typical day would look like?

- Lead and manage a cross-functional team of data scientists, consultants, and analysts on production-level data science projects.

- Drive end-to-end delivery operations, including planning, execution, quality assurance, and deployment.

- Partner with business stakeholders in the Retail sector to translate requirements into actionable data science solutions.

- Ensure scalability, robustness, and efficiency in production deployments of machine learning and analytical models.

- Implement governance frameworks, best practices, and continuous improvement for Data Science Operations (DS Ops).

- Mentor and guide team members, fostering technical growth and operational excellence.

- Collaborate with engineering and product teams to align data science capabilities with business strategy.

What do we expect?

- 10+ years of total relevant experience in Data Science projects

- Masters/PhD in Computer Science, Data Science, Statistics, Engineering, or a related field (preferred).

- Prior experience in Retail/CPG domains highly desirable.

- Proven track record in Data Science Operations and leading production projects.

- Strong experience in managing teams of data scientists and consultants.

- Excellent stakeholder management, project governance, and cross-team collaboration skills.

Good-to-Have Skills

- 10+ years of total relevant experience in Data Science projects

- Masters/PhD in Computer Science, Data Science, Statistics, Engineering, or a related field (preferred).

- Prior experience in Retail/CPG domains highly desirable.