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

Senior Data Scientist

Location:

Bangalore / Hybrid (3 Days WFO)

Reports To:

Senior Director - Product Management

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





- Strong foundation in Machine Learning, Statistical Modeling, and Applied Mathematics, with proven experience in real-world problem-solving.

- Solid 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.

About Us

iQuanti is an independent performance marketing company that generates value for clients by utilizing data to drive better business outcomes through digital channels. Beyond campaign strategy, management, and optimization, we engage with clients to understand their business and produce proprietary insights that lead to stronger business results.

Through a data science-led approach to client problem-solving, we've created a differentiated suite of product-driven service offerings that we deploy to clients, including a search-predictive efficacy platform called ALPS. We're 350+ people strong worldwide, with hubs in Jersey City and Bangalore.

Why You'll Like Working for iQuanti

- Opportunity to work with Fortune 500 brands and the Top 5 US Banks on high-impact, long-term strategic projects.
- Gain hands-on experience with patented, enterprise-grade platforms like ALPS™ and LEAP.
- Benefit from a fast-growing environment and cross-channel learning in SEO, Paid, and CRO.
- Enjoy a hybrid work model and flexible timing in a culture that prioritizes both excellence and well-being.

📌 Senior Data Scientist (Bengaluru)
🏢 Iquanti
📍 Bengaluru