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.