Data Scientist Consultant - Mid Level - Environmental Management Digital Solutions (Hybrid/Remote)
Job Description:
Summary:
Barr Engineering Co. seeks a data scientist consultant to help us build and expand our Environmental Management Digital Solutions team. In this role, your primary focus would be to support the data science, artificial intelligence, and analytics efforts of external client projects across Barr's practices. When not supporting external projects, you will assist Barr's Information Systems team in advancing internal data and digital technology capabilities.
Barr works on thousands of client projects each year. The data-related needs of these projects vary significantly.This role is well-suited for a problem-solver who is passionate about data and wants to work in an environment with significant growth opportunities.The person selected for this position will be given the opportunity to learn and develop technological skills across various disciplines and help drive the future of our Digital Solutions team.
Responsibilities include:
Support the data science needs across an array of environmental, engineering, and scientific projects for our external clients
Perform exploratory data and statistical analysis and deploy models to production environments
Implement AI-integrated workflows
Build customized compliance and information systems
Identify, design, and implement process improvements, re-designing infrastructure for greater scalability, optimize data delivery, and automate manual processes
Integrate systems and data sources
Design and implement complex data flows and pipelines to optimally extract, transform, and store data
Work in cross-functional teams and communicate complex technical concepts and workflows
Minimum Qualifications:
Education: Bachelor's degree in computer science, information systems, a related field, or equivalent work experience
Experience: Two years of relevant experience in data science
Experience performing statistical analysis and producing report-ready data visualizations
Experience in business intelligence tools, such as PowerBI, Grafana, or Tableau
Experience with using REST APIs
High proficiency in SQL and Python
Familiarity with distributed computing platforms
Experience building scripts and workflows for automation in production environments
Proficient in working with and transforming diverse data types, including structured, semi-structured, and unstructured formats
Experience leading requirement-gathering efforts and translating business goals into executable tasks
Proficient with creating and managing code repositories
Strong organizational skills, including the ability to plan, monitor, and follow through on work commitments and confirm priorities with stakeholders
Ability to work on complex data and systems-related tasks independently
High level of commitment to delivering exceptional client service
Excellent written and oral communication skills
Strong analytical and problem-solving skills
Possession of a valid driver's license and acceptable driving record
Legal authorization to work in the United States without the need for sponsorship from Barr, now or in the future
Qualifications:
One or more Microsoft Azure certifications
Experience with Azure DevOps, Cosmos DB, Azure SQL Database, and Databricks
Experience developing in data visualization platforms such as Power BI, Tableau, or related platforms
Experience with Power Automate, Azure Logic Apps, and Microsoft 365 integrations
Knowledge of data warehouse development processes and techniques, including dimensional modeling
Experience working in industrial or public sectors
Knowledge of environmental data (e.g., air quality, water quality, geological, remote monitoring sensors) and/or environmental data systems (e.g., EQuIS, GIS, EMIS)
A hybrid or remote work arrangement may be considered for this position. A hybrid arrangement refers to splitting time worked between a Barr office and a home office; a remote arrangement refers working primarily from a home office. This position can be based out of Barr's Minneapolis, Minnesota, office. Remote arrangements will be considered based on candidate qualifications, location requirements, and Barr's needs.
Compensation:
The anticipated base salary range for this position is $ 70,000-$95,000 per year. This position is classified as exempt under the Fair Labor Standards Act (FLSA). Compensation will vary based on relevant experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus based on team and individual performance.Barr has a "no retained earnings" model and distributes all its profit to our employees through our bonus plan and ESOP.
Benefits:
People report that they stay at Barr because of the camaraderie and career opportunities. Another draw is our competitive package of employee benefits, which includes professional development funding, 401(k) retirement savings plan, employee stock ownership plan (ESOP) participation, medical and dental insurance, life insurance, and accidental death insurance, flexible spending accounts for healthcare and dependent care expenses, paid holidays, paid time off (accrues on all hours worked), and compensatory time for exempt/salaried staff (time off or pay for extra time worked). Barr's benefits package offerings include:
Professional development funding
401(k) retirement savings plan
Employee stock ownership plan (ESOP) participation, provided through profit distribution
Cash bonus
Medical and dental insurance
Life insurance
and accidental death insurance
Flexible spending accounts for healthcare and dependent care expenses
Paid holidays
Paid time off
#LI-Hybrid #LI-Remote
Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to , , , , , , , , or status as a protected veteran.