Lead Data Scientist - Retail/eCommerce

About Locally

Locally is at the forefront of bridging the gap between online shopping and local retail experiences. Founded in 2013, we've built the world’s largest network of specialty brands and retailers, revolutionizing the way people shop. Our mission is to fortify local economies by enabling shoppers to buy products from neighborhood retailers. Partnering with prominent names like Yeti, Trek, Sonos, Dicks, REI, Crocs, and BrooksRunning, we've created a significant impact. Our tools captivate over 30 million unique shoppers monthly, generating over 2 billion annual engagements worldwide.

About the position

We are seeking a highly skilled and experienced Lead Data Scientist to join our dynamic team. This is a fully remote position based in the U.S. or Canada.

The ideal candidate will have a deep understanding of retail & eCommerce, with a keen eye for metrics that drive brand success. You will play a pivotal role in analyzing complex data sets and building tools that extract meaningful insights, inform business decisions, and contribute to the strategic direction of Locally and our customers.

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

Qualifications and Experience 

• Advanced degree in Data Science, Statistics, Computer Science, or a related field preferred, but not required
• 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.

 Perks and Compensation

At Locally, we foster a casual yet rewarding work environment that prioritizes mission-driven, high-growth opportunities. Our team benefits from:
● 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).

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