Director – Data Science
Posted on 9/26/2023
DAT Freight & Analytics

1,001-5,000 employees

Industrial & Manufacturing
Data & Analytics

Company Stage


Total Funding





Beaverton, Oregon

Growth & Insights

6 month growth


1 year growth


2 year growth

Remote in USA
Experience Level
Desired Skills
Data Science
Data & Analytics
  • Requires a minimum of 8-10 years of related experience with a PhD (Preferred) or Master's degree in relevant field (e.g. Statistics, Computer Science, Mathematics)
  • At least 5 years of management experience in data science, or an analytical research field using the same tools and platforms
  • Proficiency in cloud-based data science tools to lead the team in using those platforms and capabilities, coaching team members to utilize available cloud resources for most use cases
  • Professional Python developer with the ability to review and mentor other researchers in Python best practices within the realm of data sciences
  • Strong knowledge of cloud-based data science tools and the capability to design new cloud-native ML systems to power our products
  • Experience using and writing Infrastructure-as-Code, especially Terraform for AWS
  • Proven track record in delivering machine learning models and model outputs as business products
  • Experience delivering machine learning products or research results that are used and relied upon by other engineering or business teams
  • Proficient in various industry-standard machine learning, forecasting, and statistical techniques
  • Lead the training, replicable and reliable integration of new models, and add them to our growing catalog of models
  • Evaluate past models against new data and make data-driven improvements
  • Host models as microservice APIs for consumption by other internal engineering teams
  • Apply models in large overnight batch jobs to output data into S3 and/or Database tables
  • Build and maintain a library of common code tools to support data scientists in both research and engineering roles
  • Your role as the Director involves providing strategic direction and leadership to the team. You will organize and prioritize engineering tasks and deliverables, and ensure that changes, releases, and timelines are effectively communicated to all stakeholders, including other data science team members, engineers, and product managers
  • Collaborate closely with other data science research and engineering managers and leads to coordinate work across the broader Data Science family of teams and ensure efficient research hand-offs
  • Ensure the quality and reliability of all existing ML engineering products through rigorous testing, evaluation, and monitoring
  • Organize the team's day-to-day and week-to-week tasks, providing early and frequent timeline estimates and communicating clear project updates to senior and executive leadership teams
  • Establish and maintain the DS Engineering team's on-call schedule and culture, ensuring a balanced workload for all team members
  • Liaise with downstream stakeholders to effectively communicate project updates and changes
  • Identify and recommend new tools and technologies to enhance the team's capabilities and efficiency
  • Foster a culture of continuous learning and development by providing team members with education and professional support opportunities
  • Mentor and guide team members in all areas of Data Science, including research acumen, engineering best practices, applications of research to business needs, and professional communication
Desired Qualifications
  • Experience in freight and logistics industry is a plus