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Data Science Manager Remote Jobs in Oregon (NOW HIRING)

Data Science Tutor

Eugene, OR · Remote

$18 - $40/hr

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

Data Science Tutor

Portland, OR · Remote

$18 - $40/hr

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

Data Science Tutor

OR · Remote

$18 - $40/hr

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

As Vice President of Data Science, you will lead and grow our in-house data science team. This team ... You are expected to also be hands on, not just a manger, and be directly responsible for some ...

... managing data scientists or ML engineers * Proven track record building and deploying ML models in production , particularly in personalization, recommendation systems, or predictive modeling * Deep ...

Lead, grow, and develop a team of senior data scientists, ML engineers, and front-line managers; recruit from a small expert pool, calibrate the bar, and build a hiring brand that allows May Mobility ...

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... Work closely with data engineering, data science, data governance, and platform teams to develop ...

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

... trial management. You'll work in a highly regulated healthcare data environment, ensuring ... Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations ...

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams. * Hands-on experience architecting AWS cloud ...

Lead Data Scientist

OR · On-site +1

Smarsh empowers its customers to manage risk and unleash intelligence in their digital ... Experience with one or more data science and machine/deep learning frameworks and tooling ...

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... Ability to manage multiple tasks and prioritize work accordingly * Work longer than normal hours as ...

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Data Scientist

OR · On-site +1

Sonatype is the software supply chain management company that invented componentized software ... Computer Science or equivalent technical degree strongly preferred * Strong Python skills and ...

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Showing results 1-20

Data Science Manager Remote information

What does a 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 are the key skills and qualifications needed to thrive as a data science manager?

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 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.

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

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

What cities in Oregon are hiring for Data Science Manager Remote jobs?

Cities in Oregon with the most Data Science Manager Remote job openings:

Sr. Data Science Manager, Content Distribution

Netflix

OR • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Re-posted 10 days ago


Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

72nd of 78 rated media


Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

Come be a part of what's next. The core function of the Netflix product is to distribute our entertainment offerings (TV series, film, games, live events, podcasts, etc.) to our members. We do this via two main mechanisms: personalization algorithms and curated merchandising

The Personalization & Merchandising Science team is at the forefront of driving innovations in this problem space of content distribution. Leverage techniques across experimentation, observational causal inference, analytics, statistical modeling, and econometrics, the team collaborates in deeply cross-functional settings to identify, incubate and enable experiences that entertain and delight our members by surfacing the right content at the right time. We are looking for an exceptional leader to manage a team of data scientists and analytics engineers to guide our approach to innovation in content distribution.

This role works highly cross-functionally amidst a complex stakeholder landscape across Engineering, Merchandising, Product Management, Consumer Insights, and Design. A strong candidate for this role is able to inform decision making using data and exceptional judgment, possesses excellent communication and collaboration skills, and is a strong, seasoned people leader who can effectively guide a talented team. In this role, you will: Lead a team of technical roles across data science and analytics engineering to shape the measurement and innovation strategy for the personalization and merchandising spaces, balancing the needs of multiple stakeholders to drive durable business impact Own end-to-end outcomes for measurement and insights in your domain, ensuring the team delivers timely, decision-ready work that meaningfully shapes product direction and development Partner closely with other functions to frame the right problems, surface tradeoffs, and build a shared, causal understanding of content distribution Set a clear vision and direction for the team, establishing priorities and operating norms that enable strong thought partnership, high-quality execution, and sustained impact Act as a role model for Netflix values in day-to-day work and interactions, demonstrating strong judgment, candor, and accountability To be highly successful in this role, you will have: Demonstrated experience leading data science, analytics, or related technical teams in algorithmically-focused domains, with accountability for both setting direction and delivering outcomes Strong analytical judgment and structured thinking, with the ability to move from messy data and ambiguous problems to clear insights, recommendations, and decisions Exceptional communication and collaboration skills, including the ability to influence partners through clear framing, tradeoff articulation, and compelling data storytelling A track record of operating effectively in ambiguous, fast-moving environments, exercising strong ownership and judgment with minimal process or oversight A track record of building high-performing teams by developing senior ICs into trusted thought partners, increasing both their individual impact and the team's overall leverage A Master's or PhD in a quantitative field, with deep expertise in applied data science and experimentation within consumer-facing, algorithmically-driven products Generally, our compensation structure consists solely of an annual salary; we do not have bonuses.

You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $600,000.00 - $1,050,000.00

This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs.

Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.

If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully.

We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.


What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Netflix logo

About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997