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Data Science Jobs in Fargo, ND (NOW HIRING)

Bespoke Labs

Data Engineer

Fargo, ND · On-site

$112K - $135K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

TERRACON

Environmental Senior Staff Scientist

West Fargo, ND · On-site

$81K - $108K/yr

Bachelor's degree in Environmental Science or related science field and a minimum of 5 years ... Performs site visits, field observations and field data collection or assignments. * Implements ...

Microsoft

Technical Support Engineer

Fargo, ND · On-site

Production engineering rails** - CI-enforced quality gates, evaluation regression testing, **comprehensive data science telemetry**, and supply-chain security that let us ship AI safely and at scale.

Stantec

Lead Wetland Scientist

Fargo, ND · On-site

$73K - $105K/yr

... science. * Willingness to travel (up to 75%) and the ability to work in the field for long hours in adverse weather conditions. * Mapping and data collection applications (Field Maps and Survey123 ...

Ulteig

Project Controls - Data Analytics

Fargo, ND · On-site

Bachelor's degree in Engineering, Construction Management, Project Management, Business Analytics, Data Analytics, Finance, Information Systems, Computer Science, or a related field; or equivalent ...

New

Danaher

Scientist I, RNA

Fargo, ND · On-site

Join us and become part of a mission-driven team advancing science and unlocking human potential ... Experience in RNA manufacturing, experimental design, and data analysis preferred. * Basic ...

Danaher

Scientist I, RNA

Fargo, ND · On-site

Join us and become part of a mission-driven team advancing science and unlocking human potential ... Experience in RNA manufacturing, experimental design, and data analysis preferred. * Basic ...

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Showing results 41-60

All JobsData Science JobsData Science Jobs in Fargo, ND

Data Science information

See Fargo, ND salary details

$36.8K

$120.5K

$192.9K

How much do data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science in Fargo, ND is $120,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $133,500.00 per year, depending on experience, location, and employer.

Is a data scientist in high demand?

Yes, 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 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 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 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.

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.
More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Fargo, ND? The most popular types of Data Science jobs in Fargo, ND are:
What are popular job titles related to Data Science jobs in Fargo, ND? For Data Science jobs in Fargo, ND, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Fargo, ND look for? The top searched job categories for Data Science jobs in Fargo, ND are:
What cities near Fargo, ND are hiring for Data Science jobs? Cities near Fargo, ND with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Fargo, ND as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, 5% Hybrid, and 21% Remote job distribution, with an average salary of $120,508 per year, or $57.9 per hour.

Data Engineer

Bespoke Labs

Fargo, ND • On-site

$112K - $135K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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