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
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
[email protected].
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)
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Top Skills
DAT Freight & Analytics Denver, Colorado, USA Office
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