Senior Data Scientist

Data Scientist
Location: South Delhi, NCR
Employment Type: Full-time
Key Responsibilities
Identify, scope, and prioritize data science opportunities in partnership with the Product Manager and Head of Technology.
Design, build, and validate statistical and machine learning models against clearly defined business problems.
Own data quality and pipeline integrity for all data feeding into models.
Partner with AI/ML Engineers to hand off validated models for production deployment.
Translate model outputs and analysis into clear, actionable business and product recommendations.
Document modeling methodology and maintain reproducible research practices.
As the team scales, help define data science best practices and mentor future hires.
Key Result Areas (KRAs)
Model Development & Accuracy — build, validate, and maintain models meeting defined accuracy/performance thresholds.
Data Pipeline & Quality — ensure data used for modeling is clean, reliable, and well documented.
Business Impact — translate data science outputs into measurable business/product impact.
Collaboration — partner with AI/ML Engineers and the PM to productionize models and align with the roadmap.
Knowledge & Documentation — document methodology, maintain reproducibility, and mentor as the team scales.
Required Skills & Technical Competencies
Strong proficiency in Python or R, SQL, and standard ML/statistical libraries.
Solid grounding in statistical modeling, experiment design, and model validation techniques.
Experience working with structured and unstructured data at a production scale.
Ability to communicate technical findings to non-technical stakeholders.
Targeted Qualifications
5–8 years of experience in data science / applied machine learning.
Strong proficiency in Python or R, SQL, and statistical modeling techniques.
Experience productionizing models in partnership with engineering teams.
Bachelor's/Master's in Computer Science, Statistics, Data Science, or related field.
IoT or enterprise data domain experience a plus.
Preferred / Nice-to-Have
Experience with IoT sensor data or time-series analysis.
Exposure to MLOps practices and production model monitoring.

Work arrangement
No