Infocusp Innovations - Senior Data Scientist

Description:

Key Responsibilities:

Advanced Analytics & Model Development:

- Design and implement production-grade Machine Learning and Statistical models (e.g., predictive, prescriptive, clustering, time-series, NLP) to address critical business use cases in areas like [mention specific areas, e.g., customer lifetime value, fraud detection, demand forecasting, pricing optimization].

- Spearhead the end-to-end model lifecycle, from exploratory data analysis (EDA) and feature engineering to MLOps, deployment, and performance monitoring.

- Conduct deep-dive analysis and advanced experimentation (e.g., A/B testing) to understand key business drivers and measure the impact of implemented solutions.

Strategic Consulting & Stakeholder Management:

- Act as a key consultant to functional leaders (e.g., Product, Marketing, Finance) to define, structure, and prioritize data science projects that align with organizational OKRs.

- Translate complex data science concepts and model results into clear, concise, and business-focused recommendations for both technical and non-technical senior executives.

- Develop business cases for new analytical initiatives, clearly quantifying the expected ROI and strategic value.

Leadership & Innovation:

- Mentor junior analysts and data scientists on best practices in model building, coding standards, and business communication.

- Drive R&D into new technologies and methodologies (e.g., Generative AI, advanced causal inference) to maintain a competitive edge.

- Contribute to the continuous improvement of our data infrastructure, modeling frameworks, and data governance policies.

What We're Looking For:

Qualifications & Experience:

- 4 to 6 years of experience in a core Data Science, Advanced Analytics, or Quant role.

- Full-time MBA from a Tier-1 or Tier-2 institution (IIMs, ISB, or equivalent global institutions is highly preferred).

- Strong technical degree (B.Tech/BE/M.Tech/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or Economics.

Required Skills (Technical & Business):

- Expert Proficiency in Programming: Strong hands-on experience with Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow) and SQL for large-scale data manipulation and model building.

- Statistical and ML Fluency: Deep understanding of statistical modeling, classic Machine Learning algorithms, and principles of predictive analytics.

- Business Acumen: Proven ability to connect business objectives to analytical methodologies and a strong grasp of corporate finance and go-to-market strategies.

- Communication & Presentation: Exceptional ability to create impactful presentations and articulate insights to senior management with strong storytelling.

- Tool Stack Familiarity: Experience with version control (Git), cloud platforms (AWS/Azure/GCP), and BI tools (Tableau, Power BI, Looker)