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 proto@types 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.

LI-DNI

DAT Solutions, LLC

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Data Scientist III - Data Science & Analytics