Data Scientist

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $125k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Logo Brands

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

🏭 Manufacturing

📣 Marketing

📦 Logistics

Manufacturing • Marketing • Logistics

Logo Brands is a company that specializes in creating branded merchandise for sports fans. Their product range includes drinkware, tailgate supplies, home textiles, bags, coolers, and more, all featuring logos from major professional and college sports teams. They cater to fans of the NFL, MLB, NBA, NHL, soccer, and college sports, among others. Their products are designed to enhance the experience of supporting a favorite team, whether at home or at tailgate events. Additionally, Logo Brands offers lifestyle products for non-sports fans, featuring designs suitable for various occasions. The company emphasizes providing everyday essentials for fans' engagement and enjoyment of sports.

📋 Description

• Own data science projects end to end, including problem framing, method selection, modeling, validation, and presenting results to decision-makers • Ship certified, production-ready data products, including models, scores, and features • Design, run, and interpret experiments, including hypothesis formulation, sizing, and interpretation of inconclusive results • Build and maintain predictive models and analytical pipelines in Python or R, SQL, and dbt on Databricks • Help set the data science roadmap with the Staff Data Scientist and Director, including challenging low-value requests • Partner with Data Champions so data science output is adopted across business teams • Work with the Data Platform team to validate data quality and upstream data-product reliability • Mentor analysts and less experienced team members • Contribute to code review and team standards • Maintain documentation and reproducible code so colleagues can continue the work independently

🎯 Requirements

• 4–7 years of professional experience in data science, applied statistics, or a closely related quantitative field • Track record of owning projects independently, from ambiguous ask through delivered result, without daily oversight • Results-driven mindset focused on measurable business impact such as churn, usage, and revenue • Strong SQL and fluency in Python or R • Solid grounding in statistics and experimental design, including knowing the limits of what a given test can tell you • Judgment to prioritize what to work on, defer, or decline • Excellent communication skills, including explaining technical work to non-technical audiences and defending data-supported positions • Currently able to work in every U.S. state except the District of Columbia • Preferred: Experience as the only data scientist or one of very few on a team • Preferred: Hands-on experience with Databricks and dbt • Preferred: Exposure to production ML systems, recommendation engines, or MLOps practices • Preferred: Experience in a subscription or SaaS business, particularly around churn, retention, and usage analytics • Preferred: Familiarity with a data mesh or distributed analytics operating model

🏖️ Benefits

• Competitive medical, dental, and vision insurance • Company-paid basic life, long-term, and short-term disability • Flexible paid time off • 10 company-paid holidays per year • 4 weeks' paid sabbatical after 10 years of service with an additional stipend • Paid maternity and paternity leave policy • Health Savings Account and Flexible Spending Account options • 401(k) plan (Includes an employer match of up to 4%) • Awards and recognition program