1

Data Science Manager Jobs in Fletcher, NC (NOW HIRING)

Data Science Graduate

Mill Spring, NC · On-site

$63 - $145/hr

Data Science Graduate This role has been designed as 'Hybrid' with a requirement that you will work ... We have the flexibility to manage our work and personal needs.We make bold moves, together, and are ...

New

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 Scientist

Asheville, NC · On-site

$106K/yr

Office of Personnel Management (OPM) Qualification Standards Handbook, which contains federal ... Mathematics, statistics, computer science, data science or field directly related to the position.

Receive mentorship from diverse professionals in science, engineering, and consulting, applying ... managing dynamic workloads in an agile environment. * Have initiative and passion to actively seek ...

Data Center COE Project Manager

Canton, NC · Remote

$123K/yr

A Bachelor of Science degree in Mechanical or Electrical Engineering highly preferred. Combination ... management systems, or electrical field services in the data center or power generation ...

Data Entry Clerk

Asheville, NC · On-site

$16 - $21.50/hr

May perform other responsibilities as assigned by management. Education * High School Diploma or ... Maintains a professional appearance in all interactions and upholds Thermo Fisher Scientific ...

next page

Showing results 1-20

Data Science Manager information

See Fletcher, NC salary details

$29.5K

$92.5K

$163.7K

How much do data science manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science manager in Fletcher, NC is $92,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

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

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

Infographic showing various Data Science Manager job openings in Fletcher, NC as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $92,451 per year, or $44.4 per hour.

Data Science Graduate

Socket.dev

Mill Spring, NC • On-site

$63 - $145/hr

Other

Posted 2 days ago

New


Job description

Data Science Graduate

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world.Our culture thrives onfinding new and better ways to accelerate what’s next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

This requisition may be classified as on desk or hybrid depending on location and role.Job Family Definition:

Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client’s business processes and applications. Combines business acumen and scientific methods to solve business problems.

Management Level Definition:

Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters.

Responsibilities
  • Participates in the analysis and validation of data sets/solutions/user experience.
  • Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses.
  • Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution.
  • Supports the research, identification and delivery of data science solutions to problems.
  • Supports visualization of the model's insights, user experience and configuration tools for the analytics model.
Education and Experience Required
  • Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent.
  • Typically 0-2 years experience.

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#grads

Job

Engineering

Job Level

TCP_01

Salary

For the Data Analyst position, (undergrad degree candidates): The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

  • United States of America: Annual Salary USD 66,800 - 126,000 in Colorado // 71,700 - 136,300 in Massachusetts // 71,700 - 145,300 in California // 62,900 - 145,300 in Minnesota & North Carolina & Texas & Wisconsin
  • The listed salary range reflects base salary. Variable incentives may also be offered.

For the Data Scientist position, (master's degree candidates): The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

  • United States of America: Annual Salary USD 85,600 - 163,000 in Colorado // 92,700 - 175,700 in Massachusetts // 92,700 - 187,500 in California // 81,500 - 187,500 in Minnesota & North Carolina & Texas & Wisconsin
  • The listed salary range reflects base salary. Variable incentives may also be offered.

The estimated job application period closure is July 6 2027; this timeline is provided for transparency and internal planning purposes.

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

#J-18808-Ljbffr