Job Snapshot

Updated Date

06-08-2026

Job ID

Job_332

Department

Tech and AI

Location

Bengaluru, Karnataka, India

Experience

4 - 9 Years

Employee Type

Full Time

Job Description

Key Responsibilities:

- Develop, validate, and deploy predictive, prescriptive, and scoring models to power product features and business decisions.

- Conduct deep-dive analyses to extract meaningful insights from complex and large datasets; identify key drivers, patterns, and opportunities.

- Partner with the product management and data engineering teams to design and implement algorithms that directly impact customer experience and business growth.

- Own end-to-end model lifecycle management, including:

- Data preprocessing, feature engineering, model training

- Validation, offline evaluation, and sensitivity analysis

- Monitoring, drift detection, and iterative improvements

- Make analytical and technical decisions on modeling trade-offs (accuracy, interpretability, scalability) and ensure outputs are aligned with business objectives.

- Ensure machine learning models are explainable, reproducible, and aligned with business objectives.

- Present findings and recommendations to key stakeholders in a clear and actionable manner.

- Drive experimentation through A/B testing and offline validation to evaluate model performance.

- Stay up to date with emerging ML/AI techniques and proactively evaluate their applicability to business use cases.

- Mentor and guide junior data scientists/analysts accelerating their technical growth and career development

Required Skills:

- Robust foundation in Machine Learning, Statistical Modeling, and Applied Mathematics,



with proven experience in real-world problem-solving.

- Strong software engineering skills with proficiency in Python and R, including ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow for deep learning)

- Solid experience with data preprocessing, feature engineering, and working with large structured and unstructured datasets.

- Experience in building and deploying models such as: Scoring/response models, recommendation systems, forecasting, optimization, segmentation, causal inference.

- Strong collaboration skills with the ability to work closely with product, engineering, and business stakeholders.

- Proven track record of owning analytics or modeling projects end-to-end.

Desired Skills:

- Knowledge of Bayesian analysis and probabilistic modeling.

- Experience applying optimization or simulation techniques to real-world decision problems

- Exposure to Text Mining and NLP (topic modeling, sentiment analysis, embeddings)

- Experience working with large vector embeddings and vector databases is a plus.

- Knowledge of LLM-based applications is a plus.

- Working knowledge of cloud platforms (AWS) and ML pipelines is a plus.

- Background in digital marketing analytics, including SEO, paid media or search-related modeling is a plus.

Qualifications:

- Master’s or PhD in a quantitative field (Computer Science, Statistics, Applied Mathematics, Data Science, Operations Research, Economics, Engineering).

- 4–6 years of experience in applied data science/modeling, ideally with projects spanning predictive modeling, NLP, optimization, and business-focused analytics.

- Experience delivering models into production environments.

📌 Senior Data Scientist (India)
🏢 Iquanti
📍 India