Data Scientist

M. A. Mortenson Company; Minneapolis (MN); On-site; USD 92,000 - 139,000; Full time

Benefits offered by this job

Medical plan

Vision coverage

Dental plan

401(k) Mortenson match

PTO & holidays

Life/AD&D/Disability insurance

No-Cost mental health tools

Tuition reimbursement

Adoption Assistance

Gym membership discount

Job summary

M. A. Mortenson Company in Minneapolis, MN, is seeking a Data Scientist to model business problems and turn data into actionable insights. This onsite role supports a data-driven culture, using statistics, machine learning, and visualization to improve performance.

Responsibilities include planning data work, conducting analyses, building predictive models, and communicating findings to diverse stakeholders. Collaboration and independent work are essential to success.

Qualifications

• Bachelor's degree in statistics, applied mathematics, data science, data analytics, or related discipline; graduate degree preferred.
• 1–4 years of experience in data science.
• Strong proficiency in SQL, Python, and R; experience with data mining, predictive modeling and statistical analysis.

Responsibilities

• Understand business challenges and plan data needs to improve performance.
• Extract and synthesize data from internal systems and external sources for insights.
• Perform statistical analyses, trials, and predictive modeling.
• Apply modeling to high-volume data from multiple sources.
• Collaborate across teams to translate findings into action.
• Evaluate operational changes and quantify impact.
• Develop new methodologies, including AI/ML when appropriate.
• Present results clearly and drive data-informed decisions.

Skills

Data mining

Predictive modeling

Statistical analysis

SQL, Python, R

Education

Bachelor's degree in statistics or related field

Graduate degree preferred

Tools

Fabric

Power BI

Salesforce

Oracle

GL/Financial data

Job description

As a Data Scientist at M. A. Mortenson Company in Minneapolis, MN (onsite), you will help model complex business problems and turn data into operational insights. The role supports a data-driven business culture, combining statistical methods, algorithmic approaches, mining, and visualization to improve business performance.

You will develop and execute data plans to obtain, analyze, and translate findings into practical recommendations. From building predictive models to evaluating operational changes, this position emphasizes consistent review of program data and corrective action informed by trends.

Responsibilities

• Understand the assigned business challenge and create a plan to identify, obtain, and analyze the data needed to improve business performance
• Extract and synthesize information from internal systems, industry reports, public information, field reports, and other data sources to find statistical relationships and convert them into internal operational insights
• Perform statistical analyses, randomized controlled trials, and predictive modeling
• Apply and integrate statistical and mathematical modeling to work with complex, high-volume data from multiple sources
• Develop, analyze, and model operational, economic, management, and other organizational data
• Quantify competitive performance across business segments
• Evaluate potential operational changes and assess their impact
• Design new approaches and methodologies, ideally using AI & ML algorithms when appropriate
• Review program data consistently to recommend corrective action when necessary, based on current trends and collected information
• Collaborate effectively with people across diverse backgrounds and organizational levels
• Perform other duties as assigned

Requirements

• Bachelor’s degree in statistics, applied mathematics, data science, data analytics, or a related discipline; graduate degree preferred
• Minimum 1-4 years of experience in data science
• Proficiency with data mining, predictive modeling, and statistical analysis
• Full proficiency in SQL, Python, R, or similar coding languages and platforms
• Experience with Fabric and Power BI
• Basic familiarity with Salesforce, Oracle, and GL/Financial data
• Ability to concisely present and explain large amounts of information and complex methods
• Analytical thinking with strong attention to detail
• Demonstrated experience following complex instructions
• Ability to work independently and collaboratively in a team environment
• Willingness to advance business ideas that may be unstructured and lack clearly defined outcomes
• Excellent communication and interpersonal skills, including active listening and openness to diverse input and feedback
• Shown understanding of business operations

Tools You’ll Use

• SQL, Python, R
• Fabric, Power BI
• Salesforce, Oracle
• GL/Financial data

Benefits

• Medical and prescription drug plans with no additional cost vision coverage
• Dental plan
• 401(k) retirement plan with a generous Mortenson match
• Paid time off, holidays, and other paid leaves
• Employer-paid Life, AD&D, and disability insurance
• No-Cost mental health tool and concierge with extensive work-life resources
• Tuition reimbursement
• Adoption Assistance
• Gym Membership Discount Program

Compensation: USD 92,300 - 138,500 per year.

Notes: Visa sponsorship is not offered for this position. Postings are typically open a minimum of 5 days and an average of 44 days.

Mortenson reserves the right to hire any individual without legal or financial obligation on unwanted solicitations. No agency emails, calls, or solicitations are accepted without a valid agreement.

Applicants must be currently legally authorized to work in the U.S. without sponsorship for employment visa status (for example, H1B, 0-1, TN, CPT, OPT, etc.). Mortenson is unable to sponsor or take over sponsorship of an employment visa at this time.