Data Science Architect; Standard

Position: Data Science Architect (Standard)

Data Science Architect (Standard) with skills Data Science, Python, Power BI, ETL, Data Science, AWS-Apps, Azure-Apps, SQL, Analytics Development for location Any Infogain Base Location (Noida, Gurugram, Bangalore, Mumbai, Pune) 1. Business Consulting, Problem Formulation & Proposal Development

Engage with business teams and leadership to clarify, shape, and structure fuzzy business problems into clear analytical frameworks.

Develop compelling proposals, problem statements, and solution blueprints —highlighting differentiated approaches, methodologies, and business impact.

Quantify expected value, define success metrics, and build MVP roadmaps that demonstrate rapid value realization.

Bring strong pre-sales thinking to help win new internal or external analytical projects.

2. Solutioning & Technical Delivery

Lead end-to-end development of analytical solutions using:

Forecasting and time-series modeling (ARIMA/SARIMA/ETS/Prophet)

Own solution architecture: data validation ? feature engineering ? modeling ? evaluation ? deployment-ready output.

Bring technical differentiation —ability to decide when classical ML, statistical modelling, optimization, heuristics, or applied AI/LLMs are appropriate.

Manage delivery from concept to MVP, ensuring rigor, speed, and business alignment.

3. Stakeholder Engagement & Business Impact

Work with cross-functional partners (Product, Engineering, Business, CXOs) and drive trusted advisor-style engagement .

Present insights with a compelling narrative: clear, concise, business-friendly.

Influence business strategy by identifying opportunities, risks, and quantifiable value.

Bridge the gap between technical capability and business outcomes.

Strong communicator and power point writing skills

Lead and mentor a high-performing team of data scientists and analysts.

Enforce standards in methodology, experimentation, code quality, and documentation.

Review work products for statistical rigor and business relevance.

Foster a culture of curiosity, excellence, and clear thinking.

5. Governance, Standards & Best Practices

Define and enforce processes for documentation, reproducibility, model governance, and versioning.

Partner with Data Engineering to ensure high-quality data pipelines and scalable architecture.

Drive high standards in modelling practices, experimentation design, and analytical storytelling.

Contribute to innovative methods/approaches

Required

Skills & Qualifications Technical Skills

Deep expertise in classical ML:

Optimization & statistical inference

Hypothesis testing & experimental design

Strong proficiency in Python or R (pandas, Num Py, Sci Py, scikit-learn, stats models, etc.)

Good understanding of data pipelines, ETL concepts, and cloud environments (GCP/AWS/Azure)

Interested in AI/Gen AI based approaches

Experience with Power BI/Tableau for business-focused insight delivery

Consulting & Analytical Thinking

Ability to translate abstract business questions into structured analytical frameworks .

Experience crafting value-based proposals , solution architectures, and MVP plans.

Excellent data storytelling and narrative development.

Comfortable with large datasets and deep exploratory analysis.

Curious learner and willing to adapt to new tools/approaches

Leadership & Project Management

Strong project management: scoping, planning, prioritization, and delivery.

Ability to guide solution design, review artifacts, and ensure high-quality outcomes.

Strong stakeholder management and communication skills.

Can manage conflict and solve issues

Preferred Qualifications

Master’s degree in Statistics, Mathematics, Analytics, Computer Science, Engineering, Economics, or related field. MBA will be a bonus.

Industry experience in Retail, CPG, BFSI, Healthcare, Travel, or Telecom preferred

Exposure to MLOps, data engineering, or productionization concepts.

Experience in business-driven modelling such as:

Demand forecasting

Pricing analytics

MMM / attribution

Why Join Us? (Unique Value Proposition to Candidate)

Direct mentorship from a senior analytics leader with deep experience across global CPG and retail analytics, advanced modelling, enterprise AI, and data strategy.

Opportunity to learn consulting-grade problem…