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Williams-sonoma, inc. Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Williams-sonoma, inc. Interview Guides

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

Williams-sonoma, inc. Salaries by Position

Job Role - Lead Data ScientistJob Location - Pune / Hyderabad (Hybrid)Experience - 10+ Years About the RoleWe 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<ul><li>Lead the design, development, and deployment of advanced predictive models, agentic AI solutions, and statistical analyses to solve high-impact business problems.</li><li>Analyze large, complex datasets to extract actionable insights and guide strategic decision-making.</li><li>Drive exploratory data analysis (EDA) and communicate findings to both technical and non-technical stakeholders.</li><li>Partner with business leaders and stakeholders to define analytical objectives, data requirements, and success metrics.</li><li>Mentor and provide technical guidance to data scientists and ML engineers, fostering a culture of learning and innovation.</li><li>Architect and optimize scalable data pipelines and workflows using Spark and other big data technologies.</li><li>Oversee the integration of agentic AI models with traditional machine learning approaches, ensuring robust, autonomous, and multi-modal solutions.</li><li>Monitor, evaluate, and continuously improve the performance of deployed models and analytics solutions.</li><li>Stay current with industry trends, emerging technologies, and best practices in AI, ML, and data science.</li><li>Contribute to the development of data science standards, code reviews, and knowledge sharing within the team.</li></ul>Criteria<ul><li>Bachelor’s, Master’s, or PhD in Data Science, Computer Science, Statistics, or a related field, or equivalent work experience.</li><li>8+ years of experience in data science, machine learning, or a related role, with a track record of delivering production-grade solutions.</li><li>Demonstrated expertise in agentic AI, generative AI, and multi-modal systems, including the development and deployment of autonomous agents.</li><li>Advanced proficiency in Python, NumPy, Scikit-learn, TensorFlow, PyTorch, Scala, or similar languages and frameworks.</li><li>Working experience with big data technologies (e.g., Hadoop, Spark) and cloud-based data platforms.</li><li>Deep understanding of statistical modeling, machine learning algorithms, and best practices for model validation and monitoring.</li><li>Strong EDA and data storytelling skills, with the ability to influence business strategy through data-driven insights.</li><li>Experience leading projects and mentoring junior team members.</li><li>Experience in the retail sector is highly desirable.</li><li>Excellent problem-solving, project management, and communication skills, with the ability to translate complex technical concepts for diverse audiences.</li></ul>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

Williams-sonoma, inc. Interview Questions

Williams-sonoma, inc. Interview Guides

Williams-sonoma, inc. Interview Questions

Williams-sonoma, inc. Salaries by Position

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