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

Summary This role manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making in ...

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Data Science Tutor

Charlotte, NC · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Matthews, NC · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Senior Analyst, Data Science

Fort Mill, SC · On-site

$75K - $95K/yr

Work closely with data engineers, product managers, business stakeholders, and subject matter ... Contribute to building a scalable data science practice by identifying opportunities to improve ...

Senior Analyst, Data Science

Fort Mill, SC · On-site

$75K - $95K/yr

Work closely with data engineers, product managers, business stakeholders, and subject matter ... Contribute to building a scalable data science practice by identifying opportunities to improve ...

Manage end-to-end data science projects ensuring alignment with business objectives and the successful delivery of actionable insights * Contributes to the strategic vision of the Data Science MLOps ...

Data Scientist

Charlotte, NC · On-site

$60 - $65/hr

Pay Range $60hr - $65hr Requirement/Must Have: * 1+ years of experience in data science or related ... Maintain compliance with security and governance standards for data management on AWS. Skills:

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

Work with stakeholders to translate business objectives into data science solutions and actionable ... Maintain compliance with security and governance standards for data management on AWSKey ...

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Data Science Manager information

See Matthews, NC salary details

$29.1K

$91.3K

$161.6K

How much do data science manager jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science manager in Matthews, NC is $91,294.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $117,900.00 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 are the most commonly searched types of Data Science jobs in Matthews, NC?

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

What job categories do people searching Data Science Manager jobs in Matthews, NC look for?

The top searched job categories for Data Science Manager jobs in Matthews, NC are:

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

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

Infographic showing various Data Science Manager job openings in Matthews, NC as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $91,294 per year, or $43.9 per hour.

Manager, Data Science

Vangard, Inc.

Charlotte, NC • On-site

Full-time

Posted 2 days ago

New


Job description

Job Description Summary

This role manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making in conversational AI Projects. Supports the continuous evolution and strategy of Vanguard's data science capabilities. It applies advanced data science techniques to uncover trends from large datasets and inform strategic decisions across diverse business areas such as marketing, supply chain, and economic research.

Core Responsibilities

  • Oversees and engages in deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making in conversational AI Projects. Creates alternative model approaches to assess complex model design and advance future capabilities.
  • Manages a team of data scientists responsible for a portfolio of diagnostic, predictive, and prescriptive analytics projects to support data-driven business decision making. Supports the continuous evolution and strategy of Vanguard's data science capabilities.
  • Identifiesand diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
  • Engages with internal stakeholders to understand and probe business processesin order todevelop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guidestest design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
  • Executes operational plans to achieve departmentobjectives. Collaborates with department or functional heads in planning, developing, and executing near-term goals.
  • Prepares, reviews, and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.
  • Designs and refines data mining architectures, analytical protocols, and statistical reporting methods toidentifyactionable trends in large and complex datasets.
  • Applies advanced data science principles and emerging technologies to develop models that inform strategic decisions across functions such as marketing, supply chain, and economic forecasting.
  • Conducts research to evaluatecutting-edgeanalytics methodologies, aiming to enhance organizational capabilities andmaintaincompetitive advantage
  • Hires, evaluates, and supervises crew.Provides guidance and training as necessary to develop crew.Sets performance standards, reviews performance, and makes informed compensation decisionsin accordance withall applicable Human Resources policies and procedures.

Qualifications

  • Minimum of five+ years related work experience in Data science roles.
  • Expertise in NLP, Generative and Agentic Solutions.
  • Deep understanding of Transformer Architectures and experience in improving performance of Agents
  • Programming skills to access,transformand prepare large scale data for machine learning modeling.
  • Experienceutilizingstatistical and machine learning methods.
  • Experience in creating explainable ML solutions and attribution methodologies.
  • Undergraduate degree in Engineering, Analytics, Applied Mathematics, Economics, Statistics or related field of study or equivalent combination of training and experience.
  • Graduate degree preferred.

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.