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Data Science Manager Remote Jobs (NOW HIRING)

Netflix

Data Science Manager - Consumer Engineering

What you'll do We're looking for an accomplished data science and analytics leader to lead a diverse team of talented, senior individual contributors who are experts in the fields of analytics and ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... As a Manager, Data Science, you will become a subject matter expert, defining projects and their ...

Waymo

Data Scientist

Mountain View, CA · On-site +1

$170K - $216K/yr

In this hybrid role you will report to a Data Science Manager. You will: * Develop evaluation ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Capital One

Manager, Data Science

Plano, TX · On-site +1

Plano Town Center (31064), United States of America, Plano, Texas Manager, Data Science Manager, Data Science positions offered by Capital One Services, LLC (Plano, Texas) Exercising discretion at a ...

Waymo

Data Scientist

San Francisco, CA · On-site +1

$170K - $216K/yr

In this hybrid role you will report to a Data Science Manager. You will: * Develop evaluation ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Expel

Manager, Data Science

$151K - $219K/yr

Offer work location flexibility, including remote from your home office What you can do for Expel ... Proven track record leading and managing data science teams (4+ years), with strong coaching and ...

Waymo

Senior Data Scientist

San Francisco, CA · On-site +1

$204K - $259K/yr

In this hybrid role you will report to a data science manager. You will: * Develop evaluation ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$204K - $259K/yr

In this hybrid role you will report to a data science manager. You will: * Develop evaluation ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Amplify Education, Inc.

Data Scientist

$100K - $132K/yr

This Data Science role will report to our Data Science manager who leads Data Science for Amplify's Sales, Marketing and Finance departments. As such, they will be empowered to innovate and ...

Mercor

Data Science Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

Expert Professionals -- AI & Data Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close ...

UAB

MANAGER-DATA SCIENTIST - OPHTHALMOLOGY

Tampa, FL · On-site +1

$126.47K - $205.52K/yr

We are seeking a data science manager to assist us with developing and managing a large repository ... NO OPTION FOR HYBRID OR REMOTE. Doctorate degree in a related field and seven (7) years of related ...

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All JobsData Science Manager Remote Jobs

Data Science Manager Remote information

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$31K

$97.1K

$172K

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

As of May 31, 2026, the average yearly pay for data science manager remote in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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.

More about Data Science Manager Remote jobs
What cities are hiring for Data Science Manager Remote jobs? Cities with the most Data Science Manager Remote job openings:
What are the most commonly searched types of Data Science Remote jobs? The most popular types of Data Science Remote jobs are:
What states have the most Data Science Manager Remote jobs? States with the most job openings for Data Science Manager Remote jobs include:
What job categories do people searching Data Science Manager Remote jobs look for? The top searched job categories for Data Science Manager Remote jobs are:
Data Science Manager Remote jobs near you
Infographic showing various Data Science Manager Remote job openings in the United States as of May 2026, with employment types broken down into 81% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $97,145 per year, or $46.7 per hour.
Data Scientist Manager - Remote

Data Scientist Manager - Remote

Penfield Search Partners

Fairfield, CT • On-site, Remote

Other

Posted 16 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Position Summary We are seeking a strategic and analytically driven professional to support Medical Affairs through advanced analytics, insight generation, and data-informed decision making. This individual will play a key role in transforming complex data into actionable business insights that support launch readiness, engagement strategy, and overall Medical Affairs effectiveness. The ideal candidate combines strong analytical and technical expertise with the ability to communicate findings in a compelling and impactful way to cross-functional stakeholders

Key Responsibilities Insights Analysis Analyze insights collected across Medical Affairs data sources to identify trends, patterns, and stakeholder sentiment. Synthesize findings into actionable recommendations that support strategic decision-making across cross-functional teams. Deliver clear and concise reporting to support business objectives and organizational priorities.

Strategic Storytelling & Communication Present insights, business impact, and strategic recommendations in a compelling, story-driven format to key stakeholders and leadership teams. Translate complex analytical findings into meaningful business narratives that influence decision-making. Data-Informed Strategy & Analytics Support Medical Affairs teams with data, tools, and analytical models that inform prioritization, planning, and engagement strategy.

Conduct ad hoc analyses to support launch preparation, strategic planning, channel engagement optimization, and Medical Expert (ME) identification and segmentation. Contribute to initiatives that enable successful product launches and ongoing business performance optimization. Metrics & Impact Tracking Track, measure, and report Medical Affairs metrics and performance against established targets.

Develop and define innovative approaches for measuring impact and business value. Identify trends and performance gaps requiring strategic course correction or optimization. Cross-Functional Collaboration Partner closely with Medical Affairs stakeholders to understand business needs and develop analytical capabilities that support organizational goals.

Collaborate with IT and other cross-functional teams on infrastructure, systems, tools, models, and reporting capabilities. Requirements Gathering & Process Support Work closely with IT teams to translate business requirements into clear, concise user stories and technical requirements. Support the development and enhancement of scalable analytics solutions and processes.

Dashboard Development & Reporting Partner with IT and technical teams to develop automated, real-time dashboards integrating multiple data sources to support insight generation and impact assessment. Ensure reporting tools provide meaningful, user-friendly visibility into Medical Affairs performance metrics. Therapeutic Area & Market Knowledge Develop and maintain expertise in relevant therapeutic areas, including respiratory disease states, as well as knowledge of Insmed and competitor products to support accurate interpretation of data and market insights.

Launch Planning Support Provide analytics, insights, and strategic support related to product launch planning and execution. Qualifications Bachelor's or Master's degree in Data Science, Analytics, Business Analytics, Statistics, Computer Science, or a related quantitative field required. Advanced degree preferred (MBA, MS, PhD), or Life Sciences qualification (e.g., PharmD) combined with strong analytics and data experience

Experience supporting Medical Affairs analytics, insights generation, and launch-related initiatives within the pharmaceutical or biotechnology industry preferred. Strong experience with SQL, Qlik, Snowflake, Python, and advanced Excel required. Experience developing dashboards, reporting solutions, and analytical models using multiple data sources.

Strong business acumen with the ability to communicate analytical findings to both technical and non-technical audiences. Proven ability to work collaboratively across cross-functional teams in a fast-paced environment. Excellent presentation, communication, and storytelling skills with the ability to influence stakeholders and drive strategic discussions.

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