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Data Science Manager Jobs in Augusta, ME (NOW HIRING)

Danaher

Product Manager Internships

Lewiston, ME · On-site

... life sciences solutions from ideation to market. This role would offer hands-on experience in ... Strong analytical and problem-solving skills with the ability to interpret complex data

Danaher

Product Manager Internships

Auburn, ME · On-site

... life sciences solutions from ideation to market. This role would offer hands-on experience in ... Strong analytical and problem-solving skills with the ability to interpret complex data

Danaher

Product Manager Internships

Augusta, ME · On-site

... life sciences solutions from ideation to market. This role would offer hands-on experience in ... Strong analytical and problem-solving skills with the ability to interpret complex data

Augusta National

Technical Product Manager

Augusta, ME · Hybrid

$165K - $191K/yr

This role combines strong product management skills with the ability to understand technical ... data platform initiatives. Relative Experience/Education: * Bachelor's degree in Computer Science ...

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Showing results 21-40

All JobsData Science JobsData Science Manager JobsData Science Manager Jobs in Augusta, ME

Data Science Manager information

See Augusta, ME salary details

$30.7K

$96.2K

$170.3K

How much do data science manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science manager in Augusta, ME is $96,179.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,300.00 and $124,300.00 per year, depending on experience, location, and employer.

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 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 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 between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

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 cities near Augusta, ME are hiring for Data Science Manager jobs?

Cities near Augusta, ME with the most Data Science Manager job openings:

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Augusta, ME as of June 2026, with employment types broken down into 2% As Needed, 76% Full Time, 20% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $96,179 per year, or $46.2 per hour.

Database Administrator (Oracle)

General Dynamics - Bath Iron Works

Bath, ME

$110K - $139K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 5 days ago

General Dynamics Bath Iron Works rating

8.5

Company rating: 8.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

We offer a competitive salary for this role, with an expected range of $110,100 to $139,500. The final offer will depend on your experience, skills, and overall qualifications. General Dynamics – Bath Iron Works also provides a variety of benefits including medical & dental insurance coverage, 401(k) retirement savings plan, flexible spending accounts/HSAs, life and disability insurance, company paid holidays, paid time off (PTO), health coaching, athletic trainers, employee assistance programs and onsite health services.

We are seeking an experienced  to support, maintain, and optimize our enterprise database environment. The ideal candidate has deep experience with Oracle 12c/19c (or newer) and understands enterprise data management best practices. This role will work closely with infrastructure, application development, data engineering, and business teams to ensure database reliability, availability, and performance.

Operating under the BIW Business Operating System (BOS), the Oracle Database Administrator ensures compliance with safety, quality, and performance standards while coordinating with other key stakeholders to meet overall milestones.

Key Responsibilities

  • Safety Leadership:
    • Be a safety leader for your team and help foster a culture of operational safety.
    • Ensure all safety training is completed on time.
  • Project Execution:
    • Administer, maintain, and support Oracle databases across development, test, and production environments.
    • Perform installation, configuration, patching, cloning, backup, and recovery using RMAN and related tools.
    • Monitor database performance and execute tuning activities.
    • Implement and maintain high availability solutions including RAC and ASM.
    • Manage database security, user access, roles, and compliance with company standards.
    • Design and implement backup/restore strategies and lead disaster recovery planning.
    • Support schema design, data modeling, and SQL code reviews.
    • Maintain documentation, SOPs, and architectural diagrams.
    • Participate in on-call rotations and support critical incidents.
  • Training and Development:
    • Take part in training to further working knowledge of new database management tools and methodologies.
    • Attend BIW training opportunities as required.
  • Team Collaboration and Communication:
    • Collaborate with application teams to troubleshoot issues and optimize SQL queries.
    • Communicate effectively across application and data engineering functions.
  • Continuous Improvement:
    • Identify and implement database management process improvements and optimizations as required.

Required:

  • High school diploma or equivalent.   

Preferred:

  • Bachelor’s Degree in the field of Computer Science, Data Science, or a related technical field.

Required:

  • 5–10 years of hands-on Oracle DBA experience in a production environment.
  • Expertise with Oracle versions 12c and 19c.
  • Proficiency with RMAN, ASM, OEM/Cloud Control.
  • Strong database performance optimization and tuning skills.
  • Understanding of Oracle enterprise management best practices.
  • Solid understanding of Linux/Unix environments and shell scripting.
  • Experience with backup strategies and disaster recovery planning.
  • Familiarity with PL/SQL, SQL query tuning, and schema design.
  • Strong analytical, troubleshooting, and communication skills. 

Preferred Oracle Experience:

  • Experience with Oracle Cloud (OCI) or cloud-hosted Oracle workloads.
  • Experience with enterprise data warehouses.
  • Understanding of DevOps pipelines, CI/CD, and Git workflows.
  • Experience supporting ERP or other enterprise applications.
  • Oracle certifications (OCA, OCP, OCM).
  • Experience with SQL Server 2019, 2022, 2025.

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