Data Scientist III
 DAT Freight Solutions | |
remote work
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 United States, Nevada, Las Vegas | |
 May 21, 2025 | |
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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 atdat.com/company. The Opportunity Data Scientist III - Data Science & Analytics (DAT Solutions, LLC, Denver,
CO): Helping the organization extract value from our data by undertaking research projects, prototyping machine learning models, statistical models, and other proof- of-concept projects (10%); Independently designing research experiments to help build production level model (10%); Working closely with ML Engineers on the Data Science team to turn successful prototypes into new products (10%); Develop python code libraries, programs, and application which support the analytical and data processes within the team (10%); Writing unit and integration tests to test their code (5%); Writing code that can be committed to shared repositories using versioning tools like Git and Github; refactor script-style code to make some components reusable in future research, or by other researchers (10%); Reviewing code PRs for other researchers and engineers on the team. Work with ML engineers to move researched models to production (5%); Owning smaller data science products independently, and co-owning important and high-impact products (10%); Act as on call incident response for models in production (5%); Help adjacent teams understand how to best utilize existing data (10%); Work in an Agile project management environment - planning and writing tickets for the research work assigned (15%). Must have experience with the following in order to complete the above-mentioned tasks: Expert in machine learning and on top of state-of-the-art algorithms; Strong understanding of statistics and statistical tests pertaining to evaluation of machine learning models; Experience working with relational databases like Snowflake, and data structures; Experience using cloud tools for data science, i.e., AWS S3, EC2, Sagemaker, GCP, Azure; Expert level Python coding; Experience using Docker, ECR and JFrog for model registry and moving models into production; Experience leading and completing independent research projects in an industry environment; Experience writing Terraform code; 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 scoping out end to end experiments and mentoring junior data scientists; Experience with version control systems such as Github; Experience coding with other researchers/engineers on shared repositories, and reviewing code of others; Experience with model monitoring and maintenance; Experience owning smaller data science products independently including as a product owner, and co-owning important and high-impact products; Ability to concisely present complex experimental results to internal stakeholders, and communicate relevant business outcomes from those results; Ability to adapt novel methods from academic and industry white-papers to be used on our own business problems; and Advanced SQL skills specifically with Snowflake including experience with window functions and common table expressions (CTEs). Requires a Master's degree or foreign equivalent in Computer Science, Data Science, Statistics, Computer Engineering or a related field, and at least three years of experience as a Data Scientist, Machine Learning Engineer or a related occupation. In the alternative, a Bachelor's degree or foreign equivalent and at least five years of experience in the above-mentioned field and occupation is required. Travel is required 5% of the time to Beaverton, OR. Option to work from home up to three days per week. Salary: $138,133 - $167,000. Send C.V. to dorian.gualotunia@dat.com . DAT embraces the value of a diverse workforce, and believes it is a core strength of our company that we encourage those values in every DAT employee, at every level of our organization, regardless of tenure or rank. We provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state, and local laws. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) #LI-DNI | |