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Data Science Jobs in Dallas, NC (NOW HIRING)

Data Scientist

Charlotte, NC ยท On-site

$60 - $65/hr

Pay Range $60hr - $65hr Requirement/Must Have: * 1+ years of experience in data science or related field. * Strong verbal and written communication skills. * Experience with machine learning ...

Wells Fargo is seeking a Data Science Director to lead a broad, strategic analytics portfolio within Digital, Data & AI. This role is accountable for defining analytics strategy, setting the ...

Required : โ€ข Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) โ€ข Proven experience in data analysis, machine learning, or ...

Work with stakeholders to translate business objectives into data science solutions and actionable insights * Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer ...

Data Scientist

Charlotte, NC ยท On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the organization's success. As a member of the Kemper Auto Data Science team, this position is responsible ...

Where appropriate help seed data science capabilities within business functions, essentially developing "citizen data scientists" within the business teams. Show strong team building and creative ...

Apply data science and ML techniques to extract actionable insights from graph data * Develop and optimize graph algorithms (pathfinding, centrality, clustering, anomaly detection) * Integrate graph ...

Data Scientist

Charlotte, NC ยท On-site

$96K - $121K/yr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or equivalent experience * 4+ years of experience with programming languages, like Python or R ...

Leverage modern cloud, data science, and AI technologies to deliver innovative products and services. * Communicate analytical insights and recommendations to diverse audiences, including senior ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) * Proven experience in data analysis, machine learning, or predictive modeling

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) * Proven experience in data analysis, machine learning, or predictive modeling

... Data science solutions and help the business to address complex problems. Candidate should be ready to do hands on coding. Not a lead or architect position. It's a developer position. Required ...

Showing results 21-40

Data Science information

See Dallas, NC salary details

$32.7K

$107K

$171.3K

How much do data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science in Dallas, NC is $106,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $118,500.00 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.
What are the most commonly searched types of Data Science jobs in Dallas, NC? The most popular types of Data Science jobs in Dallas, NC are:
What cities near Dallas, NC are hiring for Data Science jobs? Cities near Dallas, NC with the most Data Science job openings:
Infographic showing various Data Science job openings in Dallas, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 73% In-person, 6% Hybrid, and 21% Remote job distribution, with an average salary of $106,988 per year, or $51.4 per hour.

Data Scientist

CYNET SYSTEMS

Charlotte, NC โ€ข On-site

$60 - $65/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 21 days ago


Job description

Job Overview:

Pay Range $60hr - $65hr

Requirement/Must Have:

  • 1+ years of experience in data science or related field.
  • Strong verbal and written communication skills.
  • Experience with machine learning frameworks and tools.

Responsibilities:

  • Design and implement end-to-end machine learning (ML) pipelines using services such as Amazon SageMaker, AWS Glue, AWS Lambda, and Amazon S3.
  • Perform data collection, cleaning, and feature engineering to prepare datasets for modeling.
  • Develop predictive models and statistical analyses using Python, R, or similar tools.
  • Deploy, monitor, and optimize ML models in production environments using AWS ML Ops best practices.
  • Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability.
  • Utilize AWS analytics services (Athena, Redshift, QuickSight, EMR) for advanced reporting and visualization.
  • Work with stakeholders to translate business objectives into data science solutions and actionable insights.
  • Apply AI/ML algorithms for use cases such as forecasting, anomaly detection, NLP, computer vision, and recommendation systems.
  • Maintain compliance with security and governance standards for data management on AWS.

Skills:

  • Proficiency in Python and R.
  • Experience with AWS services.
  • Knowledge of machine learning algorithms.

Education and Experience:

  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • Relevant certifications in data science or machine learning are a plus.
 

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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