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Data Science Manager Jobs in Bauxite, AR (NOW HIRING)

Senior Data Scientist - Identity

Little Rock, AR ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Own end-to-end data science workflows-from problem framing, data exploration, and modeling through ... Partner with Product Management to scope data-driven solutions that address customer needs ...

US Tech - AI Engineering Manager

Little Rock, AR ยท On-site

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data Science Management Level Manager & Summary At PwC ... Those in data science and machine learning engineering at PwC will focus on leveraging advanced ...

Data Analyst

Little Rock, AR ยท On-site +1

Requirements EDUCATION Bachelor's degree in Science, Technology, Math, Business, Data Science/Informatics, Actuarial Science, Healthcare Management, or other related field. In lieu of degree, five ...

Requirements EDUCATION Bachelor's degree in Science, Technology, Math, Business, Data Science/Informatics, Actuarial Science, Healthcare Management, or other related field. In lieu of degree, five ...

Requirements EDUCATION Bachelor's degree in Science, Technology, Math, Business, Data Science/Informatics, Actuarial Science, Healthcare Management, or other related field. In lieu of degree, five ...

Data Analyst

Little Rock, AR ยท On-site +1

Requirements EDUCATION Bachelor's degree in Science, Technology, Math, Business, Data Science/Informatics, Actuarial Science, Healthcare Management, or other related field. In lieu of degree, five ...

Requirements EDUCATION Bachelor's degree in Science, Technology, Math, Business, Data Science/Informatics, Actuarial Science, Healthcare Management, or other related field. In lieu of degree, five ...

Data Analyst

Little Rock, AR ยท On-site +1

Requirements EDUCATION Bachelor's degree in Science, Technology, Math, Business, Data Science/Informatics, Actuarial Science, Healthcare Management, or other related field. In lieu of degree, five ...

Data Analyst

Little Rock, AR ยท On-site +1

Requirements EDUCATION Bachelor's degree in Science, Technology, Math, Business, Data Science/Informatics, Actuarial Science, Healthcare Management, or other related field. In lieu of degree, five ...

Requirements EDUCATION Bachelor's degree in Science, Technology, Math, Business, Data Science/Informatics, Actuarial Science, Healthcare Management, or other related field. In lieu of degree, five ...

Data Engineer - Senior Manager

Little Rock, AR

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Data Science, and Data Governance - Architecting and implementing cloud-based solutions meeting industry standards Travel Requirements Up to 60% Job Posting End Date The salary range for this ...

US Tech - AI Engineering Senior Associate

Little Rock, AR ยท On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

CTIO - AI Engineer- Senior Manager

Little Rock, AR

$91K - $321K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics ...

New

Data and AI Enterprise Architect

Little Rock, AR ยท On-site

  • Medical

  • Life

  • Retirement

  • PTO

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Data and AI Enterprise Architect

Benton, AR ยท On-site

  • Medical

  • Life

  • Retirement

  • PTO

Define and maintain technical standards for enterprise data management, analytics platforms, and AI ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Associate, Data Engineering

Little Rock, AR ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Provide work estimates while communicating with Data Engineering Management when assignments ... science experience, required. * 3+ years of experience in reporting technologies such as Power BI ...

Data Engineer

North Little Rock, AR ยท On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Designs, builds, and maintains data pipelines and analytical data structures that collect ... degree in Computer Science, Management Information Technology, or equivalent combination of ...

Data Engineer

North Little Rock, AR

$109K - $131K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Designs, builds, and maintains data pipelines and analytical data structures that collect ... degree in Computer Science, Management Information Technology, or equivalent combination of ...

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Showing results 1-20

Data Science Manager information

See Bauxite, AR salary details

$26.3K

$82.3K

$145.7K

How much do data science manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science manager in Bauxite, AR is $82,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $106,300.00 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 Bauxite, AR are hiring for Data Science Manager jobs?

Cities near Bauxite, AR with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Bauxite, AR as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $82,277 per year, or $39.6 per hour.

Senior Data Scientist - Identity

LiveRamp

Little Rock, AR โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

LiveRamp is the data collaboration platform of choice for the world's most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases-within organizations, between brands, and across its premier global network of top-quality partners.

Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements.

You will:

  • Design, implement, and iterate on production-grade machine learning and statistical models that power core identity, entity resolution, and measurement capabilities.

  • Analyze and transform large-scale, high-dimensional, and often messy datasets to uncover actionable insights, engineer robust features, and improve model performance and stability.

  • Own end-to-end data science workflows-from problem framing, data exploration, and modeling through deployment, monitoring, and continuous improvement-in close collaboration with Engineering.

  • Translate complex technical concepts and analysis into clear recommendations and narratives for product, engineering, and go-to-market stakeholders to inform roadmaps and prioritization.

  • Define and track success metrics, build experimentation and evaluation frameworks, and tests to quantify the business impact of your work.

  • Partner with Product Management to scope data-driven solutions that address customer needs, validate hypotheses with data, and de-risk new product investments.

  • Contribute high-quality, well-tested, and maintainable code, documentation, and dashboards that make your work reproducible, observable, and easy to operate.

  • Mentor and support other data scientists and analysts through code reviews, design sessions, and sharing best practices.

Your team will:
  • Build and evolve data science capabilities that sit at the heart of LiveRamp's identity and data collaboration products, working closely with engineering teams across the company.

  • Tackle a diverse portfolio of problems, from improving core matching and graph-based algorithms to powering customer-facing features for targeting, measurement, and analytics.

  • Collaborate cross-functionally with product, engineering, customer success, and go-to-market teams to ship solutions that are technically sound, operationally scalable, and aligned with customer needs.

  • Maintain a culture of experimentation and scientific rigor, using well-designed tests, strong baselines, and clear metrics to guide decisions.

  • Invest in shared tooling, libraries, and best practices that raise the bar for how data science is done and operationalized across LiveRamp.

About you:
  • MS or PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related quantitative field, or equivalent practical experience.

  • 3+ years of experience designing, building, and deploying data science or machine learning solutions in a production environment.

  • Proficiency in Python and SQL, along with experience using common data and ML libraries and frameworks (for example, pandas, NumPy, scikit-learn, or similar).

  • Experience working with large datasets in a cloud environment and with modern data processing frameworks or warehouses (for example, BigQuery).

  • Demonstrated ability to independently frame ambiguous business or product questions as concrete, testable data science problems.

  • Strong analytical and problem-solving skills, with a focus on clear measurement, experimentation, and data-informed decision-making.

  • Excellent written and verbal communication skills, including the ability to present complex technical topics to both technical and non-technical audiences.

  • A product-focused mindset and a strong bias toward iterative execution-you are comfortable moving from idea to prototype to production quickly while incorporating feedback.

Preferred Skills:
  • Experience with embeddings, representation learning, or large-scale similarity and ranking systems.

  • Experience with approximate nearest neighbor search, vector databases, or other large-scale vector search technologies.

  • Experience designing and implementing robust evaluation frameworks and monitoring for ML systems, including offline/online metric alignment and experimentation.

  • Experience with Google Cloud Platform and its data and ML ecosystem (for example, BigQuery, Dataflow, Vertex AI, or similar).

  • Familiarity with privacy-preserving data practices and governance, and interest in responsible and ethical use of data.

  • Experience with identity, entity resolution, or graph-based modeling in advertising, marketing, or adjacent domains.
    The approximate annual base compensation range is $130,000 to $196,500. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.

Benefits:
  • People: Work with talented, collaborative, and friendly people who love what they do.
  • Fun: We host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
  • Work/Life Harmony: Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
  • Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth and more.
  • Savings: Our 401K matching plan-1:1 match up to 6% of salary-helps you plan ahead.

More about us:
LiveRamp's mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles-one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.

LiveRamp is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, disability, sexual orientation, gender identity, genetics or other protected status. Qualified applicants with arrest and conviction records will be considered for the position in accordance with the San Francisco Fair Chance Ordinance.


We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.


California residents: Please see our California Personnel Privacy Policy for more information regarding how we collect, use, and disclose the personal information you provide during the job application process.


To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.