Data Science Architect (Standard)

Infogain

Website: infogain.com
Job details:
Roles & Responsibilities

Key Responsibilities

Consumer & Marketing Analytics

• Lead and deliver Marketing Mix Modeling (MMM) initiatives to assess media effectiveness, ROI optimization, and budget allocation.
• Design and implement consumer segmentation frameworks (behavioral, attitudinal, demographic, needs-based) to drive targeted marketing and personalization strategies.
• Develop advanced consumer insights using transaction, panel, digital, and syndicated data sources (e.g., Nielsen, IRI, Kantar).
• Partner with marketing, brand, and commercial teams to convert analytics insights into measurable business impact.
  
  

Analytics Leadership & Delivery

• Own end-to-end analytics delivery including problem definition, data exploration, modeling, validation, and storytelling.
• Review and guide advanced analytical approaches including regression models, time-series analysis, clustering, and causal inference.
• Ensure analytical rigor, scalability, and best practices across analytics solutions.
  
  

Stakeholder & Business Engagement

• Act as a trusted analytics advisor to senior business stakeholders.
• Translate complex analytical outputs into clear, compelling narratives and executive-ready presentations.
• Influence decision-making by linking analytics insights directly to business KPIs and outcomes.
  
  

Team & Capability Building

• Mentor and guide junior analysts and data scientists.
• Contribute to building analytics accelerators, frameworks, and reusable assets for MMM and segmentation use cases.
• Support presales, solutioning, and thought leadership initiatives in consumer and marketing analytics.
  
  

Experience

• 12-14 Years
  
  

Skills

• Primary Skill: Data Science
• Sub Skill(s): Data Science
• Additional Skill(s): Python, Power BI, Data Modeling, BI & Visualization Architecture, BI & Visualization Development, AWS-Apps, Databricks, SQL, Analytics Development, Digital Marketing Analytics, Data analytics

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