About the position
Discover your future at DAT Freight & Analytics, where innovation meets impact. For over four decades, DAT has been at the forefront of transportation and logistics, helping businesses move freight with greater efficiency and confidence. We are a technology company that removes uncertainty from freight for truckers, brokers, and shippers every day. Our advanced tools and data intelligence empower professionals to make smarter decisions, optimize costs, and operate more successfully. Through the industry's largest digital freight marketplace and insights derived from over $1 trillion in freight transactions, we provide the mission-critical information that keeps supply chains running smoothly across the country. DAT is proud to be an award-winning workplace that fosters innovation, celebrates success, and values professional growth. With strategic offices in Beaverton, Oregon, Denver, Colorado, Springfield, Missouri, and Bangalore, India, our teams collaborate to solve the transportation industry's most complex challenges. Ready to shape the future of freight technology? Learn more at dat.com/company.
Responsibilities
- Regularly lead research projects and offer mentorship and guidance to team members
- Work closely with ML Engineers on the Data Science team to turn successful prototypes into new products
- Evaluate existing ML and statistical products to ensure continued high-quality results and outputs, and to recommend improvements and new research where appropriate
- Continue professional learning of tools, techniques and best-practices for modern cloud-based data science
- Review code for both data science researchers and machine learning engineers
- Work with product teams to aid in determining what data to capture and at what level of granularity to capture the data
- Represent team at cross-team meetings
- Build out model monitoring tools
- Identify and make recommendations on new analytical tools, research tools, and methods to enhance the team's capabilities and efficiency
Requirements
- Experience using cloud tools for data science, i.e. AWS S3, EC2, Sagemaker, Lambas, GCP, Azure
- Expert level Python coding
- Experience using Docker, ECR and JFrog for model registry and moving models into production
- Experience delivering data science products in the freight and logistics industry
- Experience being on call incident responder for cloud-based production models
- Experience with BI tools such as Tableau, Power BI or Snowsight
- Experience planning out end to end machine learning model experiments and architectures
- Experience coding with other researchers/engineers on shared repositories such as GitHub, and reviewing code of others
- Experience with GenAI and building LLM prototypes
- Expert building machine learning algorithms and specifically of state-of-the-art algorithms
- Strong knowledge of machine learning, statistics, and related tools and practices
- Advanced SQL skills (any dialect) including experience with window functions and common table expressions (CTEs)
- Requires a Master's degree or foreign equivalent in Data Science, Statistics or closely related field, and at least three years of experience as a Data Scientist or related occupation
- In the alternative, a Bachelor's degree and five years of experience in the above-mentioned field and occupation are required
Benefits
- Option to work from home three days a week
- Travel required - 5% (two times a year) to Denver, CO
- Salary: $153,816 - $167,000
