Director, Data

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 

Flexe operates at the intersection of logistics, supply chain, and advanced optimization. The Director of Data Science is responsible for leading Flexe’s data science function, driving strategic data initiatives, and building and mentoring a high-performing team. This job reports to the Chief Product & Technology Officer and will manage a team of data scientists, machine learning engineers, data engineers and their manager.

Job Responsibilities

Strategic Data Leadership

• 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.

Team Leadership & Development

• 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.

Advanced Analytics & Modeling

• 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.

Cross-functional Collaboration

• 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.

Data Governance & Best Practices

• 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.

 

Required Qualifications

• 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).
• Soft Skills:
• 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.
• Demonstrated experience as a trusted thought partner and collaborator.

Preferred Qualifications

• Experience working with large, proprietary, and unstructured data sets.
• Experience with MLOps and productionizing machine learning models.
• Prior experience in a mid-sized (100-500 person) technology company.
• Demonstrated ability to influence and shape product strategy through data-driven insights.

 

The salary range for this role is $230,000 to $304,000 depending,