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Remote Behavioral Data Science Jobs in Portland, ME

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Remote Behavioral Data Science information

See Portland, ME salary details

$42.5K

$145.8K

$205.6K

How much do remote behavioral data science jobs pay per year?

As of Jul 28, 2026, the average yearly pay for remote behavioral data science in Portland, ME is $145,753.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $170,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Behavioral Data Scientist, and why are they important?

To thrive as a Remote Behavioral Data Scientist, you need expertise in statistical analysis, machine learning, behavioral science, and a degree in a related field such as psychology, statistics, or computer science. Proficiency with data analysis tools like Python, R, SQL, and experience with data visualization platforms and cloud-based collaboration systems are typically required. Strong communication, critical thinking, and self-motivation are vital soft skills for presenting findings and working independently within remote teams. These skills ensure effective analysis of human behavior data, actionable insights, and successful collaboration in distributed work environments.

What is remote behavioral data science?

Remote behavioral data science is a field where professionals analyze and interpret data related to human behavior, often using statistical methods, machine learning, and data visualization, all while working from a remote location. These scientists work with data from sources such as online interactions, surveys, or sensors to uncover insights into patterns, preferences, and decision-making. Remote roles allow for flexibility and collaboration with teams and clients around the world, using digital tools for communication and data analysis. This field is interdisciplinary, drawing from psychology, data science, and computer science.

How do remote behavioral data scientists typically collaborate with cross-functional teams to drive impactful insights?

Remote behavioral data scientists regularly work with cross-functional teams such as product managers, UX researchers, and engineers to translate user data into actionable recommendations. Collaboration often happens via virtual meetings, shared dashboards, and project management tools, ensuring alignment on goals and data interpretations. Effective communication and documentation are crucial, as data scientists must clearly explain complex analyses and behavioral patterns to non-technical stakeholders. This collaborative environment not only fosters innovation but also ensures that data-driven insights meaningfully inform product and business decisions.
What job categories do people searching Remote Behavioral Data Science jobs in Portland, ME look for? The top searched job categories for Remote Behavioral Data Science jobs in Portland, ME are:

Senior Manager | Software Development & AI

eNett

Portland, ME • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Boston, MA; San Francisco Bay Area, CA; Dallas, TX; Seattle, WA; and Portland, ME

About the Team/Role

Are you excited about building a world-class merchant ecosystem where you will have the opportunity to design, build, and scale merchant services using AI? We are seeking a seasoned Sr. Manager of Software Engineering in the WEX Mobility Engineering organization who can think big for our customers, and drive AI driven development life cycle with innovative solutions. The mobility engineering team spans across USA, India and Brazil. WEX Mobility products enable credit issuance to fleet companies and their employees, and owner-operator truckers in the form of WEX Credit Cards, which can be used in fueling stations. At WEX, we provide fleet managers and operators with the ability to configure spend controls that restrict fleet members to use their card only at preconfigured merchants and for configured product families.

How you'll make an impact:

Leadership & Strategy:

  • Develop, drive, and execute a long-term vision and strategy for the Merchant ecosystem at WEX.

  • Drive, prioritize, and work backwards from customer requirements in collaboration with product and commercial partners.

  • Maintain a well-thought-out roadmap and create clear, interdependent OKRs with product and commercial teams.

  • Establish a robust engineering roadmap to maintain clarity and motivation within the team.

Technical Ownership & Execution:

  • Be as a hands-on technical leader with full ownership of systems design across mobile applications and backend microservices.

  • Drive end-to-end AI-DLC, technical project execution, from initial concept through deployment and ongoing support.

  • Develop and track the progress of the architectural roadmap, aligning with business objectives and industry best practices.

  • Drive cross-team engineering projects as a single-threaded owner (STO).

  • Implement mechanisms to reduce time-to-market using evolving engineering approaches, continuously challenging the status quo.

  • Establish measurement of metrics-driven development productivity across the team.

Team Development & Culture:

  • Hire, lead, manage, retain, and grow high-performance software engineers through active career growth planning.

  • Foster a culture of innovation, collaboration, empowerment, and continuous learning.

  • Maintain career growth plans and provide monthly and quarterly feedback for individual progress.

  • Maintain a granular resource map of developers and their month-over-month work streams.

Collaboration & Efficiency:

  • Collaborate with other Mobility engineering teams to reuse development practices and components, reducing duplication.

  • Drive effective monthly and weekly mechanisms for planning, executing, and auditing workstreams.

  • Partner with product and commercial (sales) leads to maintain a well-thought-out roadmap.

  • Comfortably present, influence, and communicate to the senior leadership team. Provide regular updates and insights to your manager (Director) on the challenges and opportunities.

Experience you'll bring:

  • Master's degree in Computer Science or Software Engineering.

  • 8+ years of experience in software engineering with 4+ years of engineering management experience.

  • Expertise in developing large-scale distributed systems and proven experience in testing and validating solutions for accuracy and performance

  • Ability to automate generating scaffolding code, unit tests, and integration tests using past execution data and generative AI

  • Strong understanding of security and compliance requirements in cloud and data environments.

  • Excellent leadership, team-building, and dynamic decision-making skills.

  • Ability to deal with ambiguity and thrive in a fast-paced, dynamic environment.

  • Excellent verbal and written communication skills.

Preferred Qualifications:

  • Experience in building products with AI-DLC with APIs and AI first approach

  • Experience in building and scaling Fleet Merchant systems

  • Familiarity with cloud platforms and containerization.

  • Experience building high-performance distributed systems at internet-scale companies.

  • Experience building credit card products, or experience developing solutions in a scheme/network.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $175,600.00 - $204,300.00