Data Scientist II, Customer Technology Data Science - Entry Level
Jobright.ai
Boston,
Massachusetts,
United States
Information Technology
H-1B
Job posted on July 16, 2025
APPLY NOW
Job Description:
Job_Summary: Wayfair is one of the world’s largest online destinations for the home, and they are seeking a Data Scientist II to join their Customer Technology Data Science team. This role involves analyzing large datasets to uncover insights that drive strategic decisions and improve business performance, while also collaborating with cross-functional teams to enhance customer experience.
Responsibilities: • Conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities. • Champion the use of emerging technologies - including GenAI and LLMs - to transform how we explore data and uncover insights, unlocking new ways to accelerate analysis, automate complex workflows, and make insights more accessible and actionable across the business. • Become a subject matter expert on key business metrics and customer behavior, ensuring accurate interpretation and analysis. • Drive innovation in business analysis by adopting and implementing new methodologies (e.g., key driver analysis, anomaly detection, forecasting, cohorting). • Establish robust KPI tracking and anomaly detection systems to ensure early identification of emerging issues and opportunities. • Collaborate with cross-functional partners—including Business Strategy, Product, and Engineering—to uncover actionable insights that drive growth and improve customer experience. • Design, run, and interpret A/B tests to make high-impact changes to the customer experience. • Build, automate, and maintain scalable dashboards and reports using tools like Looker, BigQuery (GBQ), SQL and Python to enable efficient and self-serve data access for stakeholders. • Develop optimized and maintainable code pipelines to transform multi-terabyte data into meaningful business insights and recommendations.
Qualifications:
-Required: • Bachelors in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline. • 2 - 4 years of work experience in a relevant field, such as analytics or data science. • Proficient knowledge of a statistical programming language such as Python, R, SAS, or SPSS. • Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.). • Experience conducting quantitative analyses on large and complex data sets. • Experience in leveraging modeling algorithms to derive business insights. • Experience with experimental test design such as A/B testing. • Experience with data visualization software (e.g. Google Data Studio, Tableau, PowerBI). • Analytical, creative, and innovative approach to solving problems. • Strong written and verbal communication.
-Preferred: • Masters preferred. • Experience with Looker a plus. • Ecommerce or retail analytics experience is a plus.
Company: Wayfair is a retail store that offers a wide range of home products such as outdoor, bedding, lighting, and appliances with online services. Wayfair has a track record of offering H1B sponsorships.
APPLY NOW
Responsibilities: • Conduct in-depth analysis across large-scale datasets (clickstream, sales, product, logistics, and customer data) to uncover trends, gaps, and business opportunities. • Champion the use of emerging technologies - including GenAI and LLMs - to transform how we explore data and uncover insights, unlocking new ways to accelerate analysis, automate complex workflows, and make insights more accessible and actionable across the business. • Become a subject matter expert on key business metrics and customer behavior, ensuring accurate interpretation and analysis. • Drive innovation in business analysis by adopting and implementing new methodologies (e.g., key driver analysis, anomaly detection, forecasting, cohorting). • Establish robust KPI tracking and anomaly detection systems to ensure early identification of emerging issues and opportunities. • Collaborate with cross-functional partners—including Business Strategy, Product, and Engineering—to uncover actionable insights that drive growth and improve customer experience. • Design, run, and interpret A/B tests to make high-impact changes to the customer experience. • Build, automate, and maintain scalable dashboards and reports using tools like Looker, BigQuery (GBQ), SQL and Python to enable efficient and self-serve data access for stakeholders. • Develop optimized and maintainable code pipelines to transform multi-terabyte data into meaningful business insights and recommendations.
Qualifications:
-Required: • Bachelors in Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline. • 2 - 4 years of work experience in a relevant field, such as analytics or data science. • Proficient knowledge of a statistical programming language such as Python, R, SAS, or SPSS. • Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.). • Experience conducting quantitative analyses on large and complex data sets. • Experience in leveraging modeling algorithms to derive business insights. • Experience with experimental test design such as A/B testing. • Experience with data visualization software (e.g. Google Data Studio, Tableau, PowerBI). • Analytical, creative, and innovative approach to solving problems. • Strong written and verbal communication.
-Preferred: • Masters preferred. • Experience with Looker a plus. • Ecommerce or retail analytics experience is a plus.
Company: Wayfair is a retail store that offers a wide range of home products such as outdoor, bedding, lighting, and appliances with online services. Wayfair has a track record of offering H1B sponsorships.