Lead Data Scientist

Summary

Join Locally, a leader in connecting online shopping with local retailers, as a Lead Data Scientist! This fully remote position (U.S. or Canada) requires expertise in retail and eCommerce data analysis. You will build data science infrastructure, analyze complex datasets, develop predictive models, and collaborate with cross-functional teams to drive business strategies. Your contributions will directly impact Locally's strategic direction and customer success. The ideal candidate possesses strong analytical, communication, and programming skills, with experience in retail or e-commerce data science. Locally offers a competitive salary, bonus and stock options, comprehensive benefits, and a flexible remote work environment.

Requirements

• Proven experience in data science, preferably in the retail or e-commerce sector
• Proven experience in developing and maintaining data models
• Strong expertise in statistical analysis, machine learning, and predictive modeling
• Proficiency in programming languages including SQL, Python
• Proficiency with data visualization (we use Tableau and MetaBase)
• Experience with big data tools and platforms (we use Google BigQuery)
• Excellent communication and collaboration skills

Responsibilities

• Own the development of our data science and analytics infrastructure, tools, and best practices
• Analyze large, complex data sets to uncover hidden patterns, market trends, and customer preferences
• Develop and maintain customer-facing data and analytics visualization tools
• Develop predictive models and machine-learning algorithms to forecast sales and assist with marketing needs
• Collaborate with cross-functional teams to translate data insights into actionable business strategies via internal dashboards and memos
• Present findings and recommendations to stakeholders in a clear, concise manner
• Continuously monitor and assess the effectiveness of data-driven initiatives
• Stay abreast of industry trends and advancements in data science and retail analytics

Preferred Qualifications

Advanced degree in Data Science, Statistics, Computer Science, or a related field

Benefits

• A competitive salary complemented by a Bonus and Stock Option Plan
• Comprehensive benefits including Medical, Dental, and Retirement Plan
• Flexible remote work (100% remote team, with a strong presence on Slack)