Pune, Maharashtra, India
Open 3 months, first seen by us 94 days agoDesign and deliver ML and analytics solutions for forecasting, propensity, churn, and personalization
Translate business inputs into ML problem statements, data requirements, and KPIs
Build feature engineering and scalable modeling pipelines, using Spark/PySpark where possible
Partner with engineering to operationalize models with monitoring, drift checks, and retraining
Communicate insights to business stakeholders through clear storytelling
Design and delivery of ML/analytics solutions (forecasting, propensity, segmentation, churn, ranking, personalization)
Translate business inputs into clear ML problem statements, data requirements, KPIs, and success metrics.
Build robust feature engineering and scalable modeling pipelines (Spark/PySpark preferred).
Partner with engineering/platform teams to operationalize models (batch/real-time), including monitoring, drift checks, and retraining strategy.
communicate insights through strong storytelling tailored to business stakeholders
Bachelor’s/Master’s (or equivalent experience) in Data Science, CS, Statistics, Math, or related field.
4-8 years in data science / applied ML / advanced analytics with demonstrated production impact.
Strong Python (Pandas, NumPy, Scikit-learn) and solid SQL.
Experience working with large-scale data; exposure to Spark/PySpark and modern data platforms.
Strong communication and ability to influence decisions with data.
Required Qualifications - Bachelor’s/Master’s (or equivalent experience) in Data Science, CS, Statistics, Math, or related field. - 4-8 years in data science / applied ML / advanced analytics with demonstrated production impact.
Open 3 monthsWe first saw this posting 94 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 94
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past Williams-Sonoma’s usual: its jobs come down by about day 44.
From 11,783 similar postings that came down, and 10 of Williams-Sonoma’s. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 4-8 years in data science / applied ML / advanced analytics with demonstrated production impact. - Strong Python (Pandas, NumPy, Scikit-learn) and solid SQL. - Strong foundations in classical ML, feature engineering, and model evaluation.
- Exposure to MLOps (CI/CD basics, monitoring, experiment tracking, drift/retraining). Cloud experience (Azure preferred).
- Perform deep EDA, identify drivers/opportunities, and communicate insights through strong storytelling tailored to business stakeholders. - Build robust feature engineering and scalable modeling pipelines (Spark/PySpark preferred). - Select appropriate model evaluation methods (metrics, validation strategy, leakage prevention, error analysis) and ensure reliability.
- Strong foundations in classical ML, feature engineering, and model evaluation. - Experience working with large-scale data; exposure to Spark/PySpark and modern data platforms. - Strong communication and ability to influence decisions with data.
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Key Responsibilities
Required Qualifications
Preferred Qualifications
Cloud experience (Azure preferred).
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Pune, Maharashtra, India
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