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Data Science Jobs in Virginia, MN (NOW HIRING)

Windows CNO Developer (BZ)

Virginia, MN · On-site

$140 - $200/hr

Our positions include Cyber, Software, Systems, Networking, Data Science and other complex engineering capabilities. We set ourselves apart by having employees in the top of their field and who enjoy ...

New

STSY - Physical Scientist

Virginia, MN · On-site

$95 - $135/hr

... evaluate data and consider decision impact across multiple areas. • High degree of self ... of Science degree in Sciences or equivalent and 5 years of experience within a forensic laboratory ...

New

Senior Credit Risk Manager

Virginia, MN · On-site

$175 - $250/hr

You'll work horizontally across Credit, Data Science, Product, Engineering and Capital Markets to ensure we are making statistically sound, customer-friendly and commercially intelligent decisions.

... Data Science teams on model development, enhancement, and innovationSupport Marketing and Growth teams with credit-informed customer acquisition and retention strategiesEngage with Legal and ...

Head of Technology

Virginia, MN · On-site

$132 - $195/hr

Work with data science on methodology and prioritization, connecting the work to product and business questions. Partner on data quality standards and monitoring, and help shape and hire for the data ...

Senior Product Manager

Virginia, MN · On-site

$140 - $190/hr

Getting there means bringing Credit, Growth, Design, Data Science and Compliance with you developing your leadership and influencing skills. * Execute Hands-On You are a hands-on builder who finds ...

... data. And while you may never actually meet your patients personally, you still feel a connection to a real person that may benefit from your love of science and research. There's nobody like you and ...

Established in 2001, CommIT is a Certified Veteran-Owned Small Business (CVOSB) providing innovative technical engineering and data science services. Our enterprise systems support includes the ...

New

Principal, AI Solutions

Virginia, MN · On-site

$200 - $269/hr

QualificationsArtificial Intelligence Ethics, Cloud Platform, Data Science, Innovation, Leadership, Machine Learning (ML), Project Management, Software Development, Team Management, Technical ...

Showing results 41-60

Data Science information

See Virginia, MN salary details

$36.1K

$118.1K

$189K

How much do data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data science in Virginia, MN is $118,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $130,800.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What cities near Virginia, MN are hiring for Data Science jobs?

Cities near Virginia, MN with the most Data Science job openings:

Infographic showing various Data Science job openings in Virginia, MN as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 1% Temporary, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $118,060 per year, or $56.8 per hour.

Business Development Manager, Data Centers

Ingersoll-Rand

Virginia, MN • On-site

$90 - $120/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Business Development Manager, Data Centers

BH Job ID: BH-4299-1

Ingersoll Rand is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Job Title: Business Development Manager, Data Centers

Location: Remote NC, Remote TX, Remote VA, Remote AZ

Territory: North America

About Us: Imagine a company with technology leadership of over 160 years, yet it operates with the energy of a startup. Ingersoll Rand has dedicated itself to Making Life Better for its employees, customers, shareholders, and planets. We produce innovative and mission‑critical flow creation and life science technologies – from compressors to precision handling of liquids, gases, and powers – to increase industrial productivity, efficiency, and sustainability. Supported by over 80+ brands, our products are used in various end‑markets including life sciences, food and beverage, clean energy, industrial manufacturing, infrastructure, and more. Across the globe, we’re driving growth with an entrepreneurial spirit and ownership mindset. Learn more at irco.com and join us to own your future.

Job Overview

The Business Development Manager (BDM), Data Centers for the Fluid Transfer Technologies (FTT) business unit is responsible for driving growth with a primary focus on expanding presence in the data center liquid cooling market. This role leads business development efforts for pumps and fluid transfer solutions used in applications such as Coolant Distribution Units (CDUs), liquid‑to‑liquid and liquid‑to‑air cooling systems, secondary coolant loops, and facility‑level thermal management.

The BDM, Data Centers builds and develops relationships across the data center value chain to drive specification wins, new business opportunities, and long‑term growth in mission‑critical cooling applications. While the role is predominantly data center‑focused, it also supports select strategic channel expansion initiatives aligned with broader FTT growth priorities.

The ideal candidate has direct experience in the data center market, particularly in liquid cooling, thermal systems, HVAC/mechanical infrastructure, pumps, or flow control technologies.

Responsibilities Data Center Market Development & Specification Influence
  • Build and grow relationships with CDU builders, mechanical engineers, consulting engineering firms, and facility engineering teams to drive specification of FTT components in data center cooling systems.
  • Identify opportunities across hyperscale, colocation, enterprise, and HPC data centers.
  • Influence early‑stage design for primary and secondary coolant loops, pump skids, thermal transfer systems, dielectric fluid platforms, and facility water systems.
  • Map buying centers across owner/operators, OEMs, integrators, and EPC firms to maximize influence on infrastructure design and procurement.
Channel Expansion & Strategic Partnerships
  • Identify, evaluate, and onboard distribution partners, system integrators, resellers, and strategic partners aligned with FTT’s growth strategy in data center infrastructure and thermal management.
  • Develop and execute channel strategies and development plans that support stocking models, demand forecasting, service capabilities, and technical readiness to drive market penetration and revenue growth across North America.
  • Analyze the competitive landscape to identify differentiation opportunities, underserved markets, and whitespace for FTT’s thermal solutions.
  • Establish partner agreements, performance expectations, and incentive programs to ensure profitable and scalable growth.
Commercial Execution & Sales Enablement
  • Build go‑to‑market strategies tailored to data center liquid cooling applications.
  • Train sales teams, distributors, and OEM partners on performance characteristics, coolant compatibility, reliability metrics, flow requirements, and key data‑center specific use cases.
  • Partner closely with Sales, Product Management, and Marketing to support customer engagement, proposal development, and major project pursuit.
Strategic Growth & Portfolio Expansion
  • Build and maintain a strong pipeline of growth opportunities across OEMs, EPC firms, liquid cooling integrators, industrial distribution, specialty resellers, mechanical contractors, and facility upgrades.
  • Identify and develop new revenue streams, business models, and niche vertical opportunities that expand and strengthen FTT’s portfolio.
  • Partner with Product Management to deliver clear Voice of Customer (VOC) insights on market needs, portfolio gaps, and emerging requirements—including engineered coolants and dielectric fluids, low‑noise/low‑vibration pumps, redundancy for mission‑critical cooling, and advanced materials or configurations.
  • Support evaluation of new product opportunities and technology roadmaps with a focus on liquid cooling innovation and portfolio expansion.
Requirements
  • Bachelor’s degree in Business, Marketing, Engineering, or related field (Mechanical or Thermal Systems background preferred).
  • 5+ years of experience in Business Development, Commercial Leadership within the data center ecosystem, HVAC/mechanical systems, liquid cooling, flow control, pumps, or other mission‑critical infrastructure.
Core Competencies
  • Strong network within CDU OEMs, EPC firms, facility engineering teams, or mechanical design consultants.
  • Knowledge of liquid cooling technologies including CDUs, secondary coolant loops, dielectric fluids, heat exchangers, and facility water systems.
  • Strong ability to translate technical cooling requirements into commercial value propositions.
  • Deep understanding of data center cooling architectures and industry trends.
  • Strategic problem‑solving and strong market insight.
  • High commercial acumen and financial literacy.
  • Ability to influence stakeholders without direct authority.
  • Entrepreneurial mindset with comfort in emerging, fast‑changing markets.
  • Strong customer focus and results‑driven execution.
Travel & Work Arrangements/Requirements
  • This position will require travel throughout North America.
  • Must live in one of the following states: North Carolina, Texas, Virginia, Arizona.
  • Must have the ability to travel 30% - 50%.
What We Offer

At Ingersoll Rand, we embrace a culture of personal ownership — taking responsibility for our company, our communities, and our environment, as well as our individual health and well‑being. Our comprehensive benefits package is designed to empower you with the tools and support necessary to take charge of your health, ensuring that together, we can continue to make life better. Our range of benefits includes health care options like medical and prescription plans, dental and vision coverage, as well as wellness programs. Additionally, we provide life insurance, a robust 401(k) plan, paid time off, and even an employee stock grant, among other offerings. These benefits are our commitment to you, so you can be your best at work and beyond.

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