Job Description

Data Scientist

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Location: South Delhi, NCR

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Employment Type: Full time

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Key Responsibilities

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Identify, scope, and prioritize data science opportunities in partnership with the Product Manager and Head of Technology.
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Design, build, and validate statistical and machine learning models against clearly defined business problems.
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Own data quality and pipeline integrity for all data feeding into models.
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Partner with AI/ML Engineers to hand off validated models for production deployment.
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Translate model outputs and analysis into explicit, actionable business and product recommendations.
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Document modeling methodology and maintain reproducible research practices.
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As the team scales, help define data science best practices and mentor future hires.
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Key Result Areas (KRAs)

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Model Development & Accuracy — build, validate, and maintain models meeting defined accuracy/performance thresholds.
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Data Pipeline & Quality — ensure data used for modeling is clean, reliable, and well documented.
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Business Impact — translate data science outputs into measurable business/product impact.
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Collaboration — partner with AI/ML Engineers and the PM to productionize models and align with the roadmap.
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Knowledge & Documentation — document methodology, maintain reproducibility, and mentor as the team scales.
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Required Skills & Technical Competencies

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Solid proficiency in Python or R, SQL, and standard ML/statistical libraries.
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Solid grounding in statistical modeling, experiment design, and model validation techniques.
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Experience working with structured and unstructured data at a production scale.
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Ability to communicate technical findings to non-technical stakeholders.
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Targeted Qualifications

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5–8 years of experience in data science / applied machine learning.
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Strong proficiency in Python or R, SQL, and statistical modeling techniques.
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Experience productionizing models in partnership with engineering teams.
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Bachelor's/Master's in Computer Science, Statistics, Data Science, or related field.
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IoT or enterprise data domain experience a plus.
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Preferred / Nice-to-Have

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Experience with IoT sensor data or time-series analysis.
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Exposure to MLOps practices and production model monitoring.
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📌 Senior Data Scientist New Delhi
🏢 Dignifyd
📍 New Delhi