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Data Science Associate Jobs in Concord, NC (NOW HIRING)

Senior Associate, AI Engineer

Charlotte, NC · On-site

$54 - $69.50/hr

They are seeking a Senior Associate, AI Engineer to develop AI applications and models, assist with ... ML, data science, software engineering, or cloud technologies • Bachelor's degree from an ...

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Showing results 21-40

Data Science Associate information

See Concord, NC salary details

$53.6K

$63.4K

$120.1K

How much do data science associate jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science associate in Concord, NC is $63,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $55,400.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

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

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

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

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

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

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

Infographic showing various Data Science Associate job openings in Concord, NC as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $63,370 per year, or $30.5 per hour.

Senior Associate, Product Management - Document Intelligence & Ontology

Capital One

Charlotte, NC

$123K - $163K/yr

Full-time

Re-posted 6 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

Senior Associate, Product Management - Document Intelligence & Ontology

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.

The Opportunity

Documents are the backbone of how a commercial bank runs-they are the source of truth for every process, from origination and underwriting to servicing and client management. At Capital One, we are reimagining this backbone. We are moving away from fragmented storage toward a centralized, AI-driven document ecosystem that allows associates and clients to search, synthesize, and even "chat" with their documents.

We are looking for a Sr Associate, Product Manager to lead our Document Hub. You will be the architect of our document strategy, guiding the evolution from our legacy document ecosystem to a modernized, graph-based foundation. If you are passionate about data architecture, user-centric AI, and transforming complex technical challenges into seamless customer experiences, this role is for you.

Your Mission

You will lead the end-to-end vision for our Document Intelligence platform. This is not just about storing files; it is about building a Trusted Workflow Advisor that empowers our teams to make faster, data-informed decisions. You will work at the intersection of product, data science, and engineering to define how we classify, tag, and organize millions of documents into a semantic, knowledge graph.

What You'll Do

  • Architect the Future of Taxonomy: Lead the strategic design of our document taxonomy and ontology. Drive the migration from legacy systems to a robust, graph-based architecture that creates durable, auditable chains of evidence across the client lifecycle.

  • Build the Chat with Documents Experience: Collaborate with engineering and ML teams to deliver products that enable users to extract, summarize, and interact with complex documents. Turn the document repository into a dynamic, intelligent engine.

  • Bridge the Ecosystem: Work across a vast cross-functional landscape. You will partner with stakeholders in Sales, Operations, Underwriting, and Treasury Management to ensure our document intelligence tools meet the unique needs of every line of business.

  • Drive Product Delivery: Own the product roadmap for our document hub, from the Intelligent Doc Assist Chrome plugin to advanced automated extraction capabilities. Prioritize the backlog, refine user stories, and ensure iterative, high-impact delivery every quarter.

  • Champion Data Strategy: Influence the bank's broader graph strategy. You won't just build a storage layer; you will define how documents link to business entities, products, and events, ensuring our data is standardized, compliant, and discoverable.

Why This Matters

Today, associates often struggle with fragmented manual uploads and inconsistent tagging. You will lead the effort to replace friction with flow-enabling one-click uploads, ML-driven auto-classification, and high-precision extraction. Your work will directly reduce operational risk, shorten loan workflow times, and enable a market-leading digital experience.

What You'll Bring

  • The "Why" Behind the Tech: A passion for information architecture, ontology, and the "graph" mindset. You understand that organized data is the prerequisite for effective AI.

  • Technical Fluency: You can speak the language of engineering and data science. You have experience navigating complex product lifecycles and understand what it takes to build scalable, resilient platforms.

  • Human-Centered Design: You obsess over the user. Whether it's an associate processing a loan or a client reviewing deal terms, you design solutions that remove friction and add tangible value.

  • Influence & Leadership: You can navigate a complex, large-scale organization. You are comfortable challenging the status quo, building consensus among disparate stakeholders, and leading through influence rather than just authority.

Basic Qualifications:

  • Bachelor's degree or military experience

  • At least 1 year of product management experience or at least 1 year of experience in product design, agile delivery, business analysis, data science, or software engineering

Preferred Qualifications:

  • Bachelor's degree in computer science or engineering

  • 1+ years translating business strategy or analysis into consumer facing digital products

  • 1+ years of experience working on core product platforms powering digital experiences

  • 1+ years working with cross functional teams as a product owner in an agile development process

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Charlotte, NC: $101,100 - $115,400 for Sr. Associate, Product Management


McLean, VA: $111,200 - $126,900 for Sr. Associate, Product Management


Richmond, VA: $101,100 - $115,400 for Sr. Associate, Product Management









Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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