Senior Data Scientist

Flexe • Seattle, WA

8h • Hybrid

About The Position

Flexe is a team of technology entrepreneurs and logistics experts who are transforming the $1.5T logistics industry. We deliver technology-powered flexible warehousing infrastructure to the world’s largest Enterprise companies, creating unprecedented agility and flexibility in their supply chains. Our cloud-based software platform connects to 1300+ warehouse operators across North America, making the process of sourcing, operating and scaling logistics services fast and efficient. Flexe.com
The Senior Data Scientist is responsible for working with the product manager and stakeholders to define and scope opportunities, using data to build novel products supporting the Flexe business model. They will identify and harvest data to power machine learning and/or optimization models for Flexe within the logistics and distribution industry. This role impacts organizational level goals. This job reports to the Data Products engineering manager. Additionally, this role is responsible for working with software engineers, data engineers, and analytics to deliver solutions.

Requirements

• Requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.
• Proficient in using scripting code (Python, R, etc.) to scrutinize data and build statistical and/or machine learning models.
• 5+ years of hands-on experience in predictive modeling, analysis, and machine learning.
• 5+ years of relevant working experience in an analytical role involving data extraction, statistical modeling, and communication.
• 3+ years of experience with data querying languages (SQL)
• Proven ability to work independently and communicate status clearly. Workload is self-directed and organized.
• Proficiency in model development, model validation and model implementation for large-scale applications.
• Ability to convey mathematical results to non-science stakeholders.
• Strength in clarifying and formalizing complex problems.
• Natural curiosity and desire to learn, a passion for solving real world problems.

Nice To Haves

• Successful candidates will have a background in a quantitative field such as Machine Learning, Data Science, Statistics, Applied Mathematics, or Economics or 5+ years relevant experience.
• Supply chain experience within transportation, logistics, or warehousing.

Responsibilities

• Experiment, prototype, and implement solutions to Flexe’s complex problems
• Technical leadership
• Teamwork - driving team processes and cross-functional collaboration

Benefits

• Medical, dental, and vision insurance
• 401k with employer match
• Flexible Time Off Policy, with 10 company paid holidays
• 2 days of volunteer time off
• 12–15 weeks of paid parental leave, with eligibility based on tenure and in alignment with FMLA guidelines
• Fully remote, in-office, or hybrid work environment
• Monthly home internet stipend
• Employee support groups, social groups, and mentorship program
• Employee-driven programs for volunteering

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level