Director, Data at Flexe

Seattle, Washington, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Logistics, Supply ChainIndustries

Requirements

Master's or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, Quantitative Economics, or a related quantitative field
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
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)
Exceptional communication and presentation skills, with the ability to tell compelling stories with data
Strong business acumen and strategic thinking, with the ability to connect data science initiatives to business goals
Excellent leadership, project management, and organizational skills

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 the team
Oversee the design, development, and deployment of predictive models, machine learning algorithms, and other advanced analytical solutions
Identify and prioritize AI-enabled features for 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

Skills

Machine Learning

Predictive Modeling

Natural Language Processing

Data Science

Predictive Analytics

Data Engineering

Flexe

On-demand warehousing and fulfillment services

About Flexe

Flexe provides logistics and supply chain management services tailored for the e-commerce market. The company offers on-demand warehousing and fulfillment solutions that allow businesses to manage their inventory and order fulfillment without long-term commitments. This flexibility enables companies to adjust their storage needs based on demand, which is particularly useful for e-commerce businesses facing fluctuating sales. Flexe positions warehouses closer to consumers, which helps reduce transportation costs and improve delivery times, including same-day delivery options that set it apart from competitors like Amazon. By charging for its services based on usage, Flexe helps businesses save on capital costs while enhancing their operational efficiency.

Seattle, WashingtonHeadquarters

2013Year Founded

$319.8MTotal Funding

SERIES_DCompany Stage

Industrial & Manufacturing, Consumer GoodsIndustries

201-500Employees

Benefits

Medical, dental, & vision insurance

401k with employer match

4 weeks PTO

Additional 13 paid company holidays

2 days of volunteer PTO

12 weeks paid parental leave

Fully remote, in-office, or hybrid work environment

$300 home office stipend

Monthly home internet reimbursement

Employee support groups, social groups, & mentorship program

Employee-driven programs for volunteering

Manager development program & resources

Access to free LinkedIn Learning courses

Risks

Increased competition from new Seattle logistics startups like Auger and Freightmate.

Decline in freight volumes and high interest rates strain Flexe's financial stability.

Recent layoffs and executive departures may disrupt Flexe's growth and service delivery.

Differentiation

Flexe offers on-demand warehousing, reducing fixed-term commitments for businesses.

Same-day delivery service helps Flexe compete with major players like Amazon.

Flexe's technology-driven logistics solutions enhance operational efficiency for e-commerce businesses.

Upsides

Growing e-commerce market increases demand for flexible warehousing solutions like Flexe's.

Seattle's logistics tech talent pool provides Flexe with skilled workforce and partnership opportunities.

Digital transformation in logistics offers Flexe opportunities to enhance technology-driven solutions.

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