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Science Manager Jobs in California (NOW HIRING)

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 ...

Exelixis

Senior Clinical Science Manager

Alameda, CA

$139K - $197K/yr

Deliver high quality scientific presentations on Exelixis investigational agents to physicians and other key external customers. Supervisory Responsibilities: N/A EDUCATION/EXPERIENCE/KNOWLEDGE ...

Exelixis

Senior Clinical Science Manager

Alameda, CA · On-site

$139K - $197K/yr

... scientific journals, attend scientific and key technical meetings as warranted. • Collaborate with team members in clinical review and interpretation of study data in support for preparation of ...

TikTok

Data Science Manager - TikTok Ads

San Jose, CA · On-site

$254K - $422K/yr

... manage high performance, responsive team of data scientists and analysts that are able to not only keep up with but also pioneer in this space 3. Build and prototype analysis pipelines for the team ...

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All JobsScience Manager JobsScience Manager Jobs in California

Science Manager information

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$26

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How much do science manager jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for science manager in California is $26.00, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $32.26 per hour, depending on experience, location, and employer.

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

To thrive as a Science Manager, you generally need a strong background in scientific research, leadership experience, and an advanced degree such as a PhD or MSc in a relevant field. Familiarity with data analysis software, laboratory information management systems (LIMS), and project management tools is typically required. Outstanding communication, problem-solving, and team-building skills help Science Managers effectively lead multidisciplinary teams and coordinate complex projects. These skills are crucial for ensuring scientific rigor, driving innovation, and achieving organizational objectives in research environments.

What is the difference between Science Manager vs Research Scientist?

AspectScience ManagerResearch Scientist
Required credentialsTypically a master's or PhD in a scientific field, leadership experienceUsually a PhD or master's in a specific science, strong research background
Work environmentLeads teams, manages projects, oversees research activitiesConducts experiments, analyzes data, publishes findings
Employer and industry usageUsed in biotech, pharma, research institutions, and corporate R&DCommon in academia, industry, government research labs

Science Managers focus on leading research teams and managing projects, while Research Scientists primarily conduct experiments and analyze data. Both roles require advanced scientific credentials, but their responsibilities and work environments differ significantly.

What are Science Managers?

Science Managers are professionals who oversee scientific research projects, teams, or departments within organizations such as research institutes, universities, government agencies, or private companies. Their responsibilities include coordinating research activities, managing budgets and resources, ensuring compliance with regulations, and facilitating communication between scientists and other stakeholders. Science Managers play a crucial role in translating scientific objectives into actionable plans and ensuring that projects are completed efficiently and effectively. They often have advanced degrees in science and strong leadership, organizational, and communication skills.

What are the main challenges a Science Manager faces when leading interdisciplinary research teams?

One of the main challenges Science Managers encounter is effectively coordinating communication and collaboration among team members from diverse scientific backgrounds. Aligning different methodologies, expectations, and terminologies can require extra effort to ensure everyone is working toward common goals. Additionally, Science Managers must balance administrative responsibilities, such as securing funding and managing budgets, with supporting the scientific growth of their team. Successful Science Managers foster an inclusive environment that encourages innovation while maintaining clear project timelines and deliverables.
What are the most commonly searched types of Science jobs in California? The most popular types of Science jobs in California are:
What cities in California are hiring for Science Manager jobs? Cities in California with the most Science Manager job openings:
Science Manager jobs near you
Infographic showing various Science Manager job openings in California as of June 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $54,089 per year, or $26 per hour.
Senior Data Science Manager

Senior Data Science Manager

Mercury

San Francisco, CA • On-site, Remote

Full-time

Posted 18 days ago

Job description

In 1923, Claude Hopkins published Scientific Advertising, introducing early ideas around experimentation, attribution, and measurable decision-making. Behind the book was a team that meticulously designed, executed, and measured campaigns - setting the foundation for modern, data-driven growth.
At Mercury, that mindset extends beyond marketing. It spans how we acquire customers, how we activate and convert them, and how we design product experiences that drive long-term value.
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 Sales, drives growth product experimentation across activation and conversion, and partners on core product experiences like Spend, Expense Management, and Invoicing.
In this role, you'll define how we measure performance, prioritize investments, and accelerate value creation across the customer lifecycle - with a high bar for rigor and a bias toward execution. You'll partner closely with Product, Engineering, Marketing, Sales, and Finance to ensure our most important decisions are grounded in trusted data and clear experimentation frameworks.
Here are some things you'll do on the job:
  • 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

You should:
  • 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

If this role interests you, we invite you to explore our public demo at personal-demo.mercury.com.
The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.
Our target new hire base salary ranges for this role are the following:
  • US employees (any location): $239,000 - $298,800
  • Canadian employees (any location): CAD 225,900 - 282,400

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.
Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
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