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Data Science Jobs in Dallas, NC (NOW HIRING)

... 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 ...

Epidemiologist Data Scientist

Charlotte, NC · On-site

$80K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking an Epidemiologist Data Scientist to support epidemiologic ...

New

What you will do Develop data science, machine learning, and generative AI solutions that support engineering use cases such as data access, content extraction, data enhancement, recall and ...

Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations. * Contributes to the advancement of analytics through ...

Associate Data Scientist

Fort Mill, SC · On-site

$85K - $117K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Associate Data Science to work with the existing Data Science team to develop model and analyze data. Position Responsibilities: Production LLM Tools & Agentic Workflows * Build and maintain LLM ...

Epidemiologist Data Scientist

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do : * Lead quantitative analysis and modeling of real-world data, including CMS ...

New

Lead AI and Data Science Engineer II

Charlotte, NC · On-site

$100K - $131K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

Senior Data Scientist

Charlotte, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Science, Operations Research, Statistics, Mathematics or related field. • Master's degree strongly preferred. • Data Science or AI certifications Analytical / Technical Skills • Deep expertise ...

Senior Data Scientist

Charlotte, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Science or AI certifications Analytical / Technical Skills Deep expertise in machine learning, neural networks, computer vision, large language models, natural language processing or similar ...

Senior Data Scientist

Charlotte, NC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Science or AI certifications Analytical / Technical Skills * Deep expertise in machine learning, neural networks, computer vision, large language models, natural language processing or similar ...

Data Scientist I - Fraud Reporting

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. * Engage in stakeholder meetings to identify business objectives and ...

Data Scientist I - Fraud Reporting

Charlotte, NC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. * Engage in stakeholder meetings to identify business objectives and ...

Showing results 41-60

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 15, 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 are popular job titles related to Data Science jobs in Dallas, NC?

For Data Science jobs in Dallas, NC, the most frequently searched job titles 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 84% Full Time, and 16% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $106,988 per year, or $51.4 per hour.

Senior Data Scientist- Gen AI

Tiger Analytics Inc.

Charlotte, NC • On-site

Full-time

Re-posted 8 days ago


Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking an experienced Senior Data Scientist with 6-10 years of expertise to join our team. You will leverage advanced data science techniques, generative AI concepts, and NLP expertise to solve complex business problems and drive measurable impact aligned with our leadership's vision.

Key Responsibilities

  • Design and implement data science solutions to address business challenges using advanced problem-solving methodologies and statistical techniques.
  • Develop, train, and deploy machine learning models with a focus on generative AI and large language models (LLMs)
  • Work with text and transcription data to build NLP-based solutions that enhance product capabilities and user experience.
  • Partner with cross-functional teams including engineering, product, and business stakeholders to identify process and workflow gaps, analyze root causes using data science techniques, and architect scalable solutions that drive operational efficiency and business value.
  • Stay at the forefront of AI/NLP advancements and evaluate new algorithms for potential business applications
  • Create comprehensive documentation and present findings to stakeholders, ensuring alignment with organizational objectives

Requirements

  • 6-10 years of professional experience as a Data Scientist or in a closely related role
  • Strong Problem-Solving Skills: Demonstrated ability to approach complex business and technical challenges using data science methodologies and statistical techniques
  • Proficiency in Python and SQL: Hands-on experience in writing production-grade code, data manipulation, and querying large databases
  • Expertise in NLP: Proven experience working with text and transcription data, including preprocessing, feature engineering, and model development
  • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications
  • Curiosity and Continuous Learning: Passionate about staying current with emerging trends, research papers, and advancements in NLP and AI
  • Strategic Alignment: Ability to understand organizational vision and strategy, translating it into data-driven initiatives that create positive business impact
  • Strong Communication: Ability to articulate complex technical concepts to both technical and non-technical audiences.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.