Job description

About DAT 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. The Opportunity Data Scientist III - FMIC Data Science (DAT Solutions, LLC, Beaverton, OR): • Regularly lead research projects and offer mentorship and guidance to team members (20%). • Work closely with ML Engineers on the Data Science team to turn successful prototypes into new products (20%). • Evaluate existing ML and statistical products to ensure continued high-quality results and outputs, and recommend improvements and new research where appropriate (10%). • Continue professional learning of tools, techniques, and best practices for modern cloud-based data science (5%). • Review code for both data science researchers and machine learning engineers (20%). • Work with product teams to determine what data to capture and at what level of granularity. Represent team at cross-team meetings (5%). • Build out model monitoring tools (10%). • Identify and make recommendations on new analytical tools, research tools, and methods to enhance the team's capabilities and efficiency (10%). Must have experience with: • Cloud tools for data science (AWS S3, EC2, Sagemaker, Lambdas, GCP, Azure) • Expert level Python coding • Docker, ECR, JFrog for model registry and deployment • Delivering data science products in freight and logistics industry • Being on call for cloud-based production models • BI tools such as Tableau, Power BI, Snowsight • End-to-end machine learning model experiments and architectures • Shared repositories like GitHub • GenAI and LLM prototypes • State-of-the-art machine learning algorithms • Statistics, ML tools, and practices • Advanced SQL skills (window functions, CTEs) Requires a Master's degree in Data Science, Statistics, or related field, with at least three years of experience, or a Bachelor's degree with five years of experience. Option to work from home three days a week. Travel required - 5% (twice a year) to Denver, CO. Salary: $153,816 - $167,000. Send CV to ...@dat.com. DAT embraces diversity and is an equal opportunity employer. We encourage applicants from all backgrounds and do not discriminate based on race, gender, age, disability, or other protected categories. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discriminate against employees or applicants regarding pay inquiries or disclosures, in accordance with applicable laws. #LI-DNI #J-18808-Ljbffr

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