Hybrid Director, Data

at Flexe

• Job title: Director, Data
• Job type: Full Time
• Experience level: Lead
• Salary: $230,000 - $304,000 per year
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Azure, Cloud, Google Cloud Platform, Numpy, Pandas, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Seattle, United States

About the role

• Director of Data Science at Flexe driving data strategy and leading a team of data professionals. Transforming logistics through data science and advanced analytics with a focus on enterprise solutions.

Responsibilities

• Define a data science strategy in support of the overall business strategy and objectives and execute against it.
• Identify new opportunities for leveraging data and advanced analytics to solve complex business problems and drive growth.
• Recruit (as needed), mentor, and develop a team of talented data scientists, machine learning engineers, and data analysts. Direct reports may include other Sr. Managers and/or Managers.
• Foster a culture of innovation, continuous learning, and data-driven decision-making within.
• Oversee the design, development, and deployment of predictive models, machine learning algorithms, and other advanced analytical solutions.
• Identify and prioritize AI-enabled features for our existing solutions (e.g., predictive analytics, intelligent automation, personalized recommendations, natural language processing).
• Ensure the accuracy, reliability, interpretability and usability of data science outputs.
• Collaborate closely with engineering, product, and business stakeholders to understand needs and translate them into data science initiatives.
• Communicate complex analytical insights clearly and concisely to diverse audiences at all levels of the organization.
• Help foster AI experimentation and diffusion across the organization.
• Establish and enforce best practices for data quality, data governance, and model lifecycle management.
• Stay abreast of industry trends and emerging technologies in data science and machine learning.

Requirements

• Education: A Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Quantitative Economics, or a related quantitative field.
• Experience:
• 7+ years of hands-on experience in a data science or machine learning role.
• 3+ years of experience in a leadership or management position, with a proven track record of building and mentoring data science teams.
• Demonstrated experience in shipping AI-enabled products to market, with a focus on both new product development and feature augmentation of existing software.
• Technical Skills:
• Expertise in a programming language such as Python (including libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch) or R.
• Strong background in machine learning techniques, statistical modeling, and experimental design (A/B testing).
• Strong experience in model building, fine-tuning, RAG, and other latest methodologies in AI technologies.
• Proficiency in SQL for data extraction and manipulation.
• Experience with big data technologies and cloud platforms (AWS, Azure, or GCP).

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