Sr. / Data Scientist

Williams-Sonoma, Inc.; Pune District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Williams-Sonoma, Inc. is seeking an experienced Lead Data Scientist to join their dynamic team in Pune, Maharashtra. The ideal candidate will possess deep expertise in advanced analytics, machine learning, and agentic AI. This role involves driving innovation, mentoring junior team members, and collaborating with cross‑functional teams to deliver impactful, data‑driven solutions. Responsibilities include leading advanced model deployment, analyzing complex datasets, and guiding strategic decision-making. A background in retail is highly desirable.

Qualifications

• 4-8 years of experience in data science, machine learning, or related role.
• Demonstrated expertise in agentic AI and generative AI.
• Strong EDA and data storytelling skills.

Responsibilities

• Lead design, development, and deployment of advanced predictive models.
• Analyze large datasets to extract actionable insights.
• Mentor and provide guidance to junior team members.

Skills

Advanced analytics

Machine learning

Agentic AI

Python

Statistical modeling

Data storytelling

Education

Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, or related field

Tools

NumPy

Scikit-learn

TensorFlow

PyTorch

Hadoop

Spark

Job description

We are seeking an experienced Lead Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in advanced analytics, machine learning, and agentic AI, with a proven ability to lead complex projects from ideation to deployment. This role involves driving innovation, mentoring junior team members, and collaborating with cross‑functional teams to deliver impactful, data‑driven solutions in the retail sector.

Responsibilities

• Lead the design, development, and deployment of advanced predictive models, agentic AI solutions, and statistical analyses to solve high‑impact business problems.
• Analyze large, complex datasets to extract actionable insights and guide strategic decision‑making.
• Drive exploratory data analysis (EDA) and communicate findings to both technical and non‑technical stakeholders.
• Partner with business leaders and stakeholders to define analytical objectives, data requirements, and success metrics.
• Mentor and provide technical guidance to data scientists and ML engineers, fostering a culture of learning and innovation.
• Architect and optimize scalable data pipelines and workflows using Spark and other big data technologies.
• Oversee the integration of agentic AI models with traditional machine learning approaches, ensuring robust, autonomous, and multi‑modal solutions.
• Monitor, evaluate, and continuously improve the performance of deployed models and analytics solutions.
• Stay current with industry trends, emerging technologies, and best practices in AI, ML, and data science.
• Contribute to the development of data science standards, code reviews, and knowledge sharing within the team.

Criteria

• Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, or a related field, or equivalent work experience.
• 4‑8 years of experience in data science, machine learning, or a related role, with a track record of delivering production‑grade solutions.
• Demonstrated expertise in agentic AI, generative AI, and multi‑modal systems, including the development and deployment of autonomous agents.
• Advanced proficiency in Python, NumPy, Scikit‑learn, TensorFlow, PyTorch, Scala, or similar languages and frameworks.
• Working experience with big data technologies (e.g., Hadoop, Spark) and cloud‑based data platforms.
• Deep understanding of statistical modeling, machine learning algorithms, and best practices for model validation and monitoring.
• Strong EDA and data storytelling skills, with the ability to influence business strategy through data‑driven insights.
• Experience leading projects and mentoring junior team members.
• Experience in the retail sector is highly desirable.
• Excellent problem‑solving, project management, and communication skills, with the ability to translate complex technical concepts for diverse audiences.