Data Science Architect (Standard)
Infogain
- Location
- Gurugram, Haryana, India
- Job type
- Full-time
Required skills
- Python
- Power BI
- clustering
- data analytics
- data modeling
- data science
- Databricks
- digital marketing
- end-to-end
- presales
- regression
- SQL
About the role
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
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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