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Data Science Jobs in Fletcher, NC (NOW HIRING)

We are seeking a Data Scientist / Manager to support the United States Department of Agriculture (USDA) Forest Service in North Carolina. I've never heard of Terrestris. What do you do? At Terrestris ...

Data Entry Clerk

Asheville, NC ยท On-site

$16 - $21.50/hr

Maintains a professional appearance in all interactions and upholds Thermo Fisher Scientific's values. * Ability learn to enter data in various systems as needed * Computer systems proficient

Senior Data Analyst

Naples, NC ยท On-site +1

$82K - $103K/yr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Data Center COE Project Manager

Canton, NC ยท Remote

$113K/yr

A Bachelor of Science degree in Mechanical or Electrical Engineering highly preferred. Combination ... data center or power generation/distribution market * Demonstrated experience in management of ...

... data to ensure results or procedures are accurate and precise. What qualifications you will need: * Required Education: Bachelor's degree in Clinical Laboratory Science or related field from an ...

... data to ensure results or procedures are accurate and precise. What qualifications you will need: * Required Education: Bachelor's degree in Clinical Laboratory Science or related field from an ...

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Data Science information

See Fletcher, NC salary details

$35.7K

$116.8K

$187K

How much do data science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data science in Fletcher, NC is $116,808.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 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.

What are the most commonly searched types of Data Science jobs in Fletcher, NC?

The most popular types of Data Science jobs in Fletcher, NC are:

What job categories do people searching Data Science jobs in Fletcher, NC look for?

The top searched job categories for Data Science jobs in Fletcher, NC are:

What cities near Fletcher, NC are hiring for Data Science jobs?

Cities near Fletcher, NC with the most Data Science job openings:

Infographic showing various Data Science job openings in Fletcher, NC as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $116,808 per year, or $56.2 per hour.

Data Scientist / Manager

Terrestris Global Solutions

Asheville, NC โ€ข On-site

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 15 days ago


Job description

Are you looking for a Challenge? Looking for an innovative organization and the opportunity to learn and grow professionally? We can help! We are seeking a Data Scientist / Manager to support the United States Department of Agriculture (USDA) Forest Service in North Carolina.

I've never heard of Terrestris. What do you do?

At Terrestris, we leverage technology to create better mission outcomes through better human performance. We form strong client and team relationships through transparency and strive to create an environment where our team can let their excellence shine through. By finding, developing, and incorporating new ideas, we provide memorable services. Rooted in the USMC values of honor, courage, and commitment, Terrestris seeks to deliver extraordinary value to the American people by helping the Government become more efficient and effective.

So, what will the Data Scientist / Manager at Terrestris do?

As the Data Scientist / Manager you will be responsible for a wide range of duties including analytics; data input, retrieval and presentation, information gathering and documentation, and implementation of prescribed processes in support of organizational missions. You will further be responsible for performing analytical and evaluative work involving mathematics, statistics, and business knowledge to address workforce or mission issues and generate data-driven solutions in the analysis of FS program operations and decision alternatives. Finally, you will develop models for evaluation and assess data validity and reliability to aid stakeholders in understanding and utilizing analytical reports.

What does a typical day look like for the Data Scientist / Manager?

You will:

  • Consult with cross-functional teams on the design and conduct of projects or studies to evaluate and resolve complex problems.
  • Advise on the potential of data to provide new insights into the agency's mission.
  • Identify, collect, cleanse, and analyze structured and unstructured data used to support assigned projects or program(s).
  • Explore patterns, correlations, and causations from various systems and datasets to provide a synopsis of emerging trends, challenges, and recommendations for change.
  • Apply data visualization techniques, such as dashboards, scorecards, and graphs, to create solutions that enable enhanced agency performance and decision making.
  • Participate in the preparation and presentation of project briefings to communicate results and recommendations for operational improvements.
  • Manage, input, extract and interpret data using Forest Service asset management software.
  • Perform various routine administrative tasks and interface with multiple resource groups to maintain complete and accurate databases of asset portfolios in accordance with USDA directives.

What qualifications do you look for?

You might be the professional we're looking for if you have:

  • Authorization to work in the U.S. permanently without sponsorship.
  • A Bachelor's Degree with (2) years of relevant experience OR a Master's degree and (1) year of relevant experience OR (10) years of relevant experience, in lieu of an education credential (Relevant Experience is defined as work involving data analytics; data input, retrieval and visualization; programming and automation using Python, R, or similar; and/or applying statistical techniques and machine learning.).

We are extra impressed by folks with:

  • Familiarity with USDA Forest Service missions, data systems, and land management policies.
  • Knowledge of federal data governance standards (e.g., FAIR data principles, OMB policies).

What kind of benefits does Terrestris Offer?We offer outstanding benefits including health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category.

Terrestris is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status. Applicants must be authorized to work in the U.S.

DILBERT 2018 Scott Adams. Used By permission of ANDREWS MCMEEL SYNDICATION. All rights reserved.