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Data Science Manager Jobs in Meridian, MS (NOW HIRING)

Digital Analyst Internships

Meridian, MS · On-site

$96K - $114K/yr

... Computer Science, Information Systems, or a related field * Familiarity with data analysis ... Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter ...

Digital Analyst Internships

Meridian, MS

$96K - $114K/yr

... Computer Science, Information Systems, or a related field * Familiarity with data analysis ... Experience with Sitecore or other Content Management Systems Company Description At Beckman Coulter ...

Computer Science * Related field * Several years of experience in: * AMI operations * Meter data management * Utility system support * Strong understanding of AMI technologies and communication ...

Graduate Engineering Trainee

Meridian, MS · On-site

$55K - $70K/yr

... product validation data. * Manage the company's customer sample program, including preparing ... Required Qualifications * Bachelor's degree in Chemistry, Biology, Agricultural Science ...

Operational Specialist

Meridian, MS · On-site

$55K - $75K/yr

... product validation data. * Manage the company's customer sample program, including preparing ... Required Qualifications * Bachelor's degree in Chemistry, Biology, Agricultural Science ...

Showing results 41-60

Data Science Manager information

See Meridian, MS salary details

$30.3K

$95K

$168.2K

How much do data science manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data science manager in Meridian, MS is $94,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $122,700.00 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 Meridian, MS are hiring for Data Science Manager jobs?

Cities near Meridian, MS with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Meridian, MS as of August 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $94,977 per year, or $45.7 per hour.

Associate Product Manager @ Social app startup

Cheez

Meridian, MS

Full-time

Re-posted 18 days ago


Job description

Cheez is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

See the iOS app https://apple.co/3KLnpTa

or the Android app https://cheez.cc/449QC0Q

Responsibilities:

  • Assist in defining product requirements, objectives, and key results based on user needs and market research

  • Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans

  • Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to the design and engineering teams

  • Monitor and analyze product performance metrics, identifying opportunities for improvement and optimization

  • Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses

  • Collaborate with the marketing team to create go-to-market strategies, positioning, and messaging for new features and improvements

  • Foster a culture of collaboration, continuous improvement, and user-centric thinking within the team

  • Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not required)

  • Strong product instincts & passion for social media, technology, and staying current with industry trends

  • Excellent communication, collaboration, and presentation skills

  • Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

  • Ability to thrive in a fast-paced, dynamic startup environment

  • Eagerness to learn, adapt, and contribute to a supportive, inclusive team culture