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Data Science Manager Jobs in Portland, OR (NOW HIRING)

Mercury

Senior Data Science Manager

Portland, OR · On-site

They are seeking a Senior Data Science Manager to lead the data science initiatives that support their revenue and product value engine, partnering with various teams to ensure data-driven decision ...

Varsity Tutors

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 ...

AZAD Technology Partners

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

... or data management OR one of the following Data Science Certifications or similar are also required: Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Senior Data ...

Intel

Data Science and Analytics Intern

Hillsboro, OR · On-site

... management and data warehousing concepts Previous internship or project experience in data science or analytics Additional Information This is a temporary internship position Position is not eligible ...

Columbia

Principal Data Scientist

Portland, OR

Drive best practices in applying and deploying Data Science at scale YOU ARE * Aptitude to synthesize and create a cohesive picture from a wide variety of information sources * Solid time-management ...

Bonneville Power Administration

Data Scientist

Portland, OR · On-site +1

$114K - $149K/yr

Your answers will be reviewed by the hiring manager and agency leadership if you are referred for ... Mathematics, statistics, computer science, data science or field directly related to the position.

nLIGHT

Temporary Data Scientist

Vancouver, WA · On-site

$45 - $58/hr

Demonstrated ability to work independently, manage complex data challenges, and communicate ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

nLIGHT

Temporary Data Scientist

Vancouver, WA

$45 - $58/hr

Demonstrated ability to work independently, manage complex data challenges, and communicate ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

nLIGHT

Temporary Data Scientist

Vancouver, WA

Demonstrated ability to work independently, manage complex data challenges, and communicate ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field is preferred.

nLIGHT

Temporary Data Scientist

Vancouver, WA

$45 - $58/hr

Demonstrated ability to work independently, manage complex data challenges, andcommunicate ... D. in Data Science, Statistics, Computer Science, Engineering, or a related field ispreferred.

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All JobsData Science Manager JobsData Science Manager Jobs in Portland, OR

Data Science Manager information

See Portland, OR salary details

$32.9K

$103K

$182.4K

How much do data science manager jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data science manager in Portland, OR is $103,023.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $133,100.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

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 data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

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. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Portland, OR? The most popular types of Data Science jobs in Portland, OR are:
What are popular job titles related to Data Science Manager jobs in Portland, OR? For Data Science Manager jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Portland, OR look for? The top searched job categories for Data Science Manager jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Science Manager jobs? Cities near Portland, OR with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Portland, OR as of June 2026, with employment types broken down into 3% As Needed, 74% Full Time, 20% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $103,023 per year, or $49.5 per hour.

Senior Data Science Manager

Mercury

Portland, OR • On-site

Full-time

Posted 12 days ago

Job description

Job Summary:
Mercury is a fintech company focused on data-driven growth strategies. They are seeking a Senior Data Science Manager to lead the data science initiatives that support their revenue and product value engine, partnering with various teams to ensure data-driven decision making and experimentation frameworks are in place.
Responsibilities:
• Lead and develop a team of Data Scientists embedded across go-to-market, growth product, monetization, and core product experiences
• Define the measurement and experimentation strategy across the customer lifecycle — from acquisition and activation to monetization, expansion, and retention — ensuring our investments are grounded in rigorous analysis and trusted data
• Elevate the craft of experimentation, pricing and monetization analytics, and commercial performance measurement, balancing analytical precision with decision velocity
• Partner closely with Product, Marketing, Sales, and Finance to shape roadmaps, evaluate ROI, and guide revenue forecasting and capital allocation decisions
• Translate complex quantitative signals into clear insights that influence product direction and revenue strategy
• Increase team leverage by building scalable analytics systems and self-serve capabilities that power reliable, AI-enabled insights across growth, monetization, and core product experiences
• Operate effectively in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact
Qualifications:
Required:
• Have 10+ years of experience, with 3+ years leading high-performing data teams
• Bring deep experience in growth, monetization, and product analytics, along with a proven track record of partnering with Product, Marketing, Sales, and Finance to shape roadmaps and drive revenue outcomes
• Demonstrate strong business judgment, with the ability to balance analytical rigor with decision velocity in high-impact commercial environments
• Be highly fluent in experimentation design, attribution, and causal inference, with the ability to raise the bar on analytical craft across a team of senior ICs
• Have experience building scalable analytics frameworks and self-serve capabilities that increase leverage and support AI-enabled insight generation within growth and product domains
• Thrive in ambiguity, setting clear priorities that balance user value, growth, and long-term business impact
Company:
Mercury provides digital banking and financial tools tailored for startups and modern businesses. Founded in 2017, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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