Data Scientist - AI/ML Engineering

Roles & Responsibilities:

- Analyze extensive datasets from CG&S sources like Nielsen and IRI to synthesize actionable insights.

- Evaluate clients' AI and analytics maturity and develop data-driven solutions across various business domains.

- Lead the design and deployment of advanced analytics solutions using cutting-edge platforms and tools.

- Provide technical guidance on statistical and machine learning techniques.

- Collaborate with cross-functional teams to address CG&S pain points, including revenue growth management, route-to-market strategies, and demand forecasting.

- Stay updated on the latest advancements in AI and integrate innovative approaches into solutions.

Professional & Technical Skills:

- Expertise in traditional statistical techniques (e.g., regression, time series) and machine learning methods (e.g., clustering, decision trees).

- Familiarity with optimization methods, including linear and evolutionary techniques.

- Strong communication skills for engaging both technical and non-technical stakeholders.

- Proven ability to lead client-facing roles and large project teams.

- Exceptional attention to detail and a proactive, problem-solving mindset.

Notice period - max -60 days