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Data Science Manager Remote Jobs (NOW HIRING)

Blend

Data Science Manager

Blend360 is a company in the Marketing and Advertising industry, and they are seeking a Data Science Manager. The role involves leading client-facing incrementality testing and experimentation ...

Mercor

Data Science Manager

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Design, build ...

Blend360

Data Science Manager

Columbia, MD · On-site +1

$125K - $160K/yr

Manage multiple concurrent testing workstreams in a fast-paced embedded client environment * Coordinate across data science, analytics, and operations teams to drive high-quality delivery and ...

Paylocity

Manager Data Science

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Data Science Position Overview The Paylocity Data Science team is focused on building ...

Mercury

Senior Data Science Manager

San Francisco, CA · On-site +1

We're looking for a Senior Data Science Manager to lead the data science powering Mercury's revenue and product value engine. This team supports Go-To-Market functions across Finance, Marketing, and ...

Reddit

Senior Data Science Manager, Marketing

We're completely remote friendly Team Description: The Data Science Team at Reddit is expanding ... As a Data Science Senior Manager, you will lead a team that is crucial to Reddit's user growth ...

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 ...

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Data Science Manager Remote information

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$172K

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

As of Jun 21, 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 is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Remote positions may offer competitive compensation aligned with industry standards and often include benefits such as bonuses and stock options.

Can a data scientist work fully remote?

Data science managers and data scientists often have the option to work fully remote, especially in companies that support remote work policies. Success in remote roles typically requires strong communication skills, proficiency with collaboration tools, and the ability to manage projects independently.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or features. Data science managers often focus on identifying the most impactful data, models, or features to optimize performance and efficiency in projects.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager, as skills and experience are more important. Many professionals transition into data science roles later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning. Continuous learning and practical experience can help individuals succeed regardless of age.

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 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.

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Data Science Manager Remote jobs near you
Data Science Manager

Data Science Manager

Blend

Remote

Full-time

Posted 6 days ago

Job description

Job Summary:
Blend360 is a company in the Marketing and Advertising industry, and they are seeking a Data Science Manager. The role involves leading client-facing incrementality testing and experimentation initiatives while serving as a strategic partner to various stakeholders in marketing and analytics.
Responsibilities:
• Lead client-facing incrementality testing and experimentation initiatives across paid and owned marketing channels
• Serve as a strategic partner to marketing, measurement, and analytics stakeholders on testing design, interpretation, and decision-making
• Lead development of and drive adoption of Claude Code and AI-enabled workflows to improve testing efficiency, scalability, and delivery quality
• Manage multiple concurrent testing workstreams in a fast-paced embedded client environment
• Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights
• Provide leadership and mentorship to junior team members while helping drive rigor and operational excellence across the testing program
Qualifications:
Required:
• Lead client-facing incrementality testing and experimentation initiatives across paid and owned marketing channels
• Serve as a strategic partner to marketing, measurement, and analytics stakeholders on testing design, interpretation, and decision-making
• Lead development of and drive adoption of Claude Code and AI-enabled workflows to improve testing efficiency, scalability, and delivery quality
• Manage multiple concurrent testing workstreams in a fast-paced embedded client environment
• Coordinate across data science, analytics, and operations teams to drive high-quality delivery and actionable insights
• Provide leadership and mentorship to junior team members while helping drive rigor and operational excellence across the testing program
Company:
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. Founded in 2016, the company is headquartered in Columbia, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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