Machine Learning Engineer

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About DAT

DAT is a next-generation SaaS technology company that has been at the leading edge of innovation in transportation supply chain logistics for 43 years. We continue to transform the industry year over year, by deploying a suite of software solutions to millions of customers every day - customers who depend on DAT for the most relevant data and most accurate insights to help them make smarter business decisions and run their companies more profitably. We operate the largest marketplace of its kind in North America, with 226 million freight posts in 2020, and a database of $126 billion of annual global shipment market transaction data. We have co-headquarters in Portland, OR and Denver, CO, and additional offices in MO, TX, and Bangalore, India. For additional information, see

The Opportunity

DAT is seeking a Machine Learning Engineer II to join our growing Data Science team in Denver, Colorado.

This position will be based in our Denver, Colorado office with an expectation to work in the office 2-3x/week. 

Candidate profile

The Data Science team at DAT plays a central role building next-generation models, algorithms and tools to deliver insights to our customers, helping them streamline, strengthen, and grow their businesses. Our team’s products run the gamut of data science topics, from time series forecasting, economic modeling, classification, and recommenders.

As part of Data Science, you will help us move prototypes into production, grow our ML Operations tool set, integrate DS products with the rest of engineering, and engage in research discussions and planning.

While most of our data science team is in the Portland, Oregon area, this position is aiming to be filled at the newer DAT office in Denver, Colorado.

This position may be filled at a higher or lower level, depending on an ideal candidate’s unique experiences and qualifications.

What You’ll Do

  • Supporting the data science team move prototype models into production
  • Developing sound operations tools for training, release, and rollback of production models
  • Developing model monitoring systems to ensure long-term model health and efficacy
  • Ownership of production models, ensuring they are properly updated and monitored
  • Working with DAT engineering teams to ensure seamless integrations between DS and the rest of DAT’s engineering products.
  • Refactoring older data science codebases to bring them up-to-date with current tools and processes
  • Supporting data science research projects as peers, offering both scientific and technical input and feedback

The Skills and Experience You’ll Bring

  • BS or higher degree in Mathematics, Statistics, Physics, Economics, Computer Science or other STEM disciplines
  • Two years experience as a data scientist, ML engineer, or a similar role.
  • Professional experience building and supporting ML models and processes which are in production and impacting the business.
  • Professional experience writing python code. Other software engineering experience may be considered in lieu of python experience.
  • Experience using cloud computing and cloud storage resources for data science projects, such as AWS, GCP, Azure, or similar.
  • Experience using git.

Bonus Skills

None of the following are required to successfully apply, but candidates with these types of experience may be especially well-suited to this role:

  • Industry or academic experience in transportation logistics
  • Building or running cloud orchestration systems for data science projects. Such as AWS Sagemaker, Airflow, DataRobot MLOps, or similar.
  • Maintaining custom ML models in the cloud
  • Building cloud-based data transformation pipelines (ETL)
  • Using and/or maintaining CI/CD tools like Jenkins, Codefresh, or similar
  • Docker, Kubernetes, or other containerization technologies
  • SQL, especially with Snowflake


In accordance with the Colorado Equal Pay for Equal Work Act, the minimum salary for this role is $110,000.00 + benefits. The maximum compensation for this role can vary significantly depending on your job-related skills and experience.


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)



More Information on DAT Freight & Analytics
DAT Freight & Analytics operates in the eCommerce industry. The company is located in Beaverton, OR and Denver, CO. DAT Freight & Analytics was founded in 1978. It has 500 total employees. It offers perks and benefits such as Volunteer in local community, Partners with nonprofits, Open door policy, OKR operational model, Team based strategic planning and Pair programming. To see all 2 open jobs at DAT Freight & Analytics, click here.
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