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Data Science Manager Jobs in Maine (NOW HIRING)

$101K - $137K/yr

... data scientists who depend on it. This is an exciting opportunity to work on greenfield ... Table Format Management: Own and manage open table formats including Iceberg, Delta, and Hudi ...

$101K - $137K/yr

... data scientists who depend on it. This is an exciting opportunity to work on greenfield ... Table Format Management: Own and manage open table formats including Iceberg, Delta, and Hudi ...

In our matrix organization, you will work closely with product, engineering, data science, research, content, legal, commercial, and local country teams. You will report to the Senior Manager Core ...

Sr. Data Engineer - CX Analytics

Portland, ME ยท Remote

$117K - $140K/yr

Responds quickly and positively to change and is viewed as a promoter of change management. Provides technical leadership and direction for data science initiatives, ensuring output conforms to ...

... Managed Markets Customers; helps to identify pre-clinical, clinical and post-marketing study ... Present data and conduct balanced peer-to-peer scientific dialogue on Organon's products with HCPs ...

... Managed Markets Customers; helps to identify pre-clinical, clinical and post-marketing study ... Present data and conduct balanced peer-to-peer scientific dialogue on Organon's products with HCPs ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Showing results 21-40

Data Science Manager information

See Maine salary details

$30K

$94.1K

$166.5K

How much do data science manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data science manager in Maine is $94,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $121,500.00 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 are the most commonly searched types of Data Science jobs in Maine?

The most popular types of Data Science jobs in Maine are:

What are popular job titles related to Data Science Manager jobs in Maine?

For Data Science Manager jobs in Maine, the most frequently searched job titles are:

What job categories do people searching Data Science Manager jobs in Maine look for?

The top searched job categories for Data Science Manager jobs in Maine are:

What cities in Maine are hiring for Data Science Manager jobs?

Cities in Maine with the most Data Science Manager job openings:

Infographic showing various Data Science Manager job openings in Maine as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $94,055 per year, or $45.2 per hour.

Senior Investment Data Analyst (Boston, MA)

Colby

Waterville, ME โ€ข On-site

$85K - $108K/yr

Full-time

Re-posted 3 days ago


Job description

Job DescriptionDepartment:Investment OfficePay Rate Type:SalaryEmployee Type:Job Summary:

IMPORTANT: This is NOT a remote position and will be located onsite in our Boston, MA office.

The Senior Investment Data Analyst serves as a key member of the Colby College Investment Office, supporting the management of the College's endowment through advanced investment data management, portfolio analytics, reporting, and technology-driven process improvements.

Reporting to the Chief Investment Officer, this position partners closely with the investment team to develop automated reporting solutions, enhance investment and operational workflows, and deliver meaningful analysis that supports investment decision-making.

The Senior Investment Data Analyst serves as a primary technical resource for investment data and reporting, integrating information across multiple platforms, developing automated workflows and analytical tools, and identifying opportunities to improve processes and data quality. This position exercises a high degree of independent judgment in the execution of assigned responsibilities while working collaboratively with Investment Office leadership, who retain final investment and operational decision-making authority.

The hiring range for this position is $94,000 - $124,800.

Essential Functions

To be successful in this position, an individual should be able to perform the essential duties and bring the education, experience, knowledge, skills, and abilities that support the role. This list of duties is intended to be representative rather than exhaustive, and additional responsibilities may be assigned as needed.

Investment Data Management and Technology
  • Independently design, develop, implement, and continuously improve automated workflows that enhance the collection, organization, integrity, and accessibility of investment data.

  • Manage and integrate data across portfolio management systems, CRM platforms, investment reporting tools, and other technology applications.

  • Develop, maintain and enhance dashboards, reporting tools, and analytical models that improve operational efficiency and investment reporting.

  • Evaluate emerging technologies, automation tools, and artificial intelligence applications, recommending and implementing approved enhancements that improve Investment Office workflows.

  • Serve as the primary technical resource for investment data management, reporting automation, and analytical processes.

Portfolio Analytics and Investment Reporting
  • Own the preparation, maintenance, and continuous enhancement of recurring and ad hoc reports for the Investment Office, Investment Committee, and Board of Trustees.

  • Monitor and analyze portfolio performance through return attribution, exposure analysis, holdings analysis, value creation metrics, benchmarking, and risk assessment.

  • Maintain investment benchmarks, performance databases, and portfolio analytics to ensure accuracy, consistency, and data integrity.

  • Prepare analytical presentations and reporting materials that support portfolio monitoring and strategic investment discussions.

Investment Research and Analysis
  • Independently conduct quantitative and qualitative research on existing investment managers, prospective investment opportunities, and broader market trends.

  • Support investment due diligence through financial analysis, data collection, and research.

  • Complete analytical projects related to portfolio construction, investment strategies, and emerging market opportunities.

  • Present findings and recommendations to Investment Office leadership to support informed investment decisions.

Operational Excellence and Collaboration
  • Lead assigned initiatives that improve investment reporting, operational workflows, and data quality.

  • Identify opportunities to streamline processes and recommend technology-based solutions that improve efficiency and effectiveness.

  • Implement approved process improvements while ensuring appropriate documentation and data governance practices.

  • Collaborate closely with Investment Office leadership to support ongoing operational and analytical initiatives.

  • Provide guidance and technical support to interns and assist with recruiting initiatives as appropriate.

Professional Engagement and Department Support
  • Represent the Investment Office at industry conferences, educational programs, and professional meetings, as appropriate.

  • Maintain expertise in investment technology, financial analytics, automation tools, and industry best practices.

  • Identify opportunities to improve Investment Office reporting, technology utilization, and analytical capabilities through continuous learning and innovation.

Education and/or Experience:

  • Bachelor's degree in Data Science/Analytics, Statistics, Computer Science, Mathematics, Business Analytics, Finance, Economics or a related quantitative field required.

  • Three to five years of progressively responsible experience in investment operations, investment data analytics, financial analysis, business intelligence, or a closely related field.

  • Experience working with investment reporting systems, portfolio management platforms, or financial data environments preferred.

Knowledge, Skills and Abilities:

  • Demonstrated ability to independently manage analytical projects and technical initiatives..

  • Strong experience structuring, analyzing, interpreting, and validating complex datasets.

  • Proficiency in at least one programming language and experience with business intelligence, automation, and data visualization tools.

  • Strong understanding of investment operations, portfolio analytics, financial markets, and investment reporting.

  • Demonstrated ability to identify process improvement opportunities and implement technical solutions with minimal day to day direction.

  • Excellent analytical, quantitative, and problem solving skills.

  • Strong project management and organizational skills with exceptional attention to detail.

  • Excellent written, verbal, and interpersonal communication skills.

  • Ability to effectively balance independent work with collaboration across a small, high-performing team.

  • Demonstrated initiative, intellectual curiosity, professionalism, integrity, sound judgment, and discretion in handling confidential information.

Physical/Mental Demands

The physical demands and work environment characteristics described herein are representative of those that must be met by an employee to successfully perform essential functions of this position and/or may be encountered while performing essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • To perform this role effectively, an employee is expected to treat all data and documents in a confidential and professional manner.

  • This position involves working with a variety of timelines, including some that require quick turnaround and responsiveness to urgent needs.

  • In this role, the employee will interact with other Colby staff as well as outside constituents. Presenting oneself in a professional, respectful, collaborative and thoughtful manner at all times is an important part of the role.

  • This position includes movement throughout office spaces, hallways, and meeting rooms.

  • Daily work will involve extended use of a computer, including keyboard and mouse

  • Vision requirements for this position include the ability to see clearly at close and far distances and to adjust focus as needed.

  • The work environment is dynamic and engaging, often involving multiple tasks and projects that require shifting focus and strong organizational skills..

  • The noise level is generally moderate.

Colby College supports the Americans with Disabilities Act and is committed to providing reasonable accommodations to enable individuals with disabilities to perform the essential functions of the position.

To Apply:

Interested candidates should apply electronically by clicking the "Apply Now" button on the Colby College website. Please upload a cover letter and resume to your application.