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Data Science Manager Remote Jobs in Washington (NOW HIRING)

This is a remote role. Essential Duties and Responsibilities: - Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing ...

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... as data science, statistics, economics, finance, physics, biology, epidemiology, operations ...

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with ...

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with ...

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

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

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

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

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

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

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

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

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

As Manager I, Data Science, you will work with a team of analysts, data scientists, and engineers to drive high-impact results for millions of Americans. The team's mission is to help ensure that ...

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Data Science Manager Remote information

What are the key skills and qualifications needed to thrive as a Data Science Manager (Remote), and why are they important?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a Data Science Manager working remotely typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What does a remote Data Science Manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are the most commonly searched types of Data Science Remote jobs in Washington? The most popular types of Data Science Remote jobs in Washington are:
What are popular job titles related to Data Science Manager Remote jobs in Washington? For Data Science Manager Remote jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Science Manager Remote jobs in Washington look for? The top searched job categories for Data Science Manager Remote jobs in Washington are:
What cities in Washington are hiring for Data Science Manager Remote jobs? Cities in Washington with the most Data Science Manager Remote job openings:
Data Science Manager

Data Science Manager

Maximus

On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 287 frontline employees who took The Breakroom Quiz

229th of 424 rated business services


Job description

General information
Job Posting Title
Data Science Manager
Date
Tuesday, May 12, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
Maximus is seeking a Data Science Manager to support the Indiana Eligibility Control Center, helping drive data-informed decision-making across the program.
Maximus has supported the Indiana Health Coverage Programs (IHCP) as the state's enrollment broker since 2007. In this role, Maximus helps eligible Indiana residents understand their health coverage options, provides guidance on selecting a managed care health plan, and assigns health plans for members who do not make a selection.
The program is centered on delivering unbiased, member-focused support, ensuring individuals receive clear, accurate information to make informed decisions that best meet their healthcare needs.
This is a remote role.
Essential Duties and Responsibilities:
- Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing vision, guidance, and mentorship to staff.
- Compile and evaluate data to improve operations process or quality.
- Assist with special projects, trend analysis, and problem-solving. Provide support to operational teams on issues that need deep dives to improve process, efficiency, or errors.
- Establish a vision for productization of data science artifacts and delivering Data Science as a Service.
- Work with reporting and business analyst to interpret/translate various datasets to tell a story to business partners and senior leadership team.
- Assist in compiling, creating, and managing reporting.
- Drive team alignment with key objectives that align with organizational and project goals.
- Collect, arrange, and inspect data using various tools to create required reports.
- Act as the primary liaison between project operational groups and client stakeholders, driving cross-functional alignment, elevating transparency across key stakeholder groups.
- Collect, analyze, and interpret data into actionable opportunities for improvement.
- Identify appropriate decision technology techniques to apply to relevant analytic frameworks.
- Develop/maintain a consistent and cohesive reporting structure delivering regular data, reporting, and analysis to a variety of key stakeholders.
- Specialize in performing research and analysis to devise strategies for optimal business operations and services, ensuring efficiency and increased productivity. Manage Business Analysts performance, determine priority, schedule according to business needs.
- Gather & analyze data; Perform data discovery, analysis and modeling; Troubleshooting & problem-solving to support operations; root cause analysis, process improvement plans; reporting; deep dive into staffing, WFM, or operational issues.
- Assist with project management; Collaborate with managers to meet operational expectations. Provide assistance with required and ad hoc reporting.
- Prepare progress reports and presentations, updating databases as needed, maintain records and documentation.
- Maintain reporting structures, ensuring reports are being delivered timely and accurately. Track, report, and communicate trends, error rates, or other business requests by operational leaders.
- Oversight of provisioning/deprovisioning processes, working with Ops to ensure readiness for new hires.
Minimum Requirements
- Bachelor's Degree in related field.
- 5-7 years of relevant professional experience required.
- Leadership skills with formal training and/or prior experience.
- Programming Languages: SQL, Python, R.
- Cloud Based DBMS: Snowflake, Amazon RDS (Oracle, SQL Server, MySQL), MongoDB, etc.
- Experience with big data, including structured, semi-structured, and unstructured data.
- Experience with machine learning, specifically in the domain of natural language processing (NLP).
- 2-4 years of leadership skills with formal training and/or prior experience
EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.
Minimum Salary
$
120,000.00
Maximum Salary
$
135,000.00

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