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Williams-Sonoma · Pune, Maharashtra, India

# Sr. Data Scientist / Data Scientist

Pune, Maharashtra, India Senior individual contributor Data & Analytics 

Listed on Williams-Sonoma’s official careers site. Posted August 10, 2026. Check that it is still open and apply there.
[Apply on Williams-Sonoma’s careers site →](https://ehac.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/19783)

[OpenNash Jobs](https://jobs.opennash.com/) / [Williams-Sonoma](https://jobs.opennash.com/companies/williams-sonoma/) / Sr. Data Scientist / Data Scientist

## Job description

### Key Responsibilities

Design and delivery of ML/analytics solutions (forecasting, propensity, segmentation, churn, ranking, personalization) across retail and e-commerce use cases. Translate business inputs into clear ML problem statements, data requirements, KPIs, and success metrics. 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. Partner with engineering/platform teams to operationalize models (batch/real-time), including monitoring, drift checks, and retraining strategy. Drive technical documentation, code quality, and best practices; contribute to team standards and reviews. Hands-on exposure to Computer Vision and Generative AI/LLMs (e.g., RAG, embeddings, prompt engineering, agent workflows) for retail use cases such as product search, customer support, and content understanding.

### 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. Strong Python (Pandas, NumPy, Scikit-learn) and solid SQL. 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.

### Preferred Qualifications

Retail/e-commerce experience (demand forecasting, pricing/promo, inventory, conversion, customer lifecycle). Exposure to MLOps (CI/CD basics, monitoring, experiment tracking, drift/retraining). Cloud experience (Azure preferred).

## At a glance
- Posted by the employer: Aug 10, 2026
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 69 days
- Location: Pune, Maharashtra, India[Apply on Williams-Sonoma’s careers site →](https://ehac.fa.us6.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/19783)

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