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Data Scientist Contract Jobs in San Ramon, CA (NOW HIRING)

Data Science And Ai

San Francisco, CA · On-site

$125 - $150/hr

Build visual models to analyze and process image, video, and text data and combine them with ... Role will have option to convert full time after initial contract with generous equity. #J-18808 ...

... or contracts Experience building expert-labeled evaluation datasets, including annotation ... scientific publishing or fact-checking Familiarity with study design, statistical evidence and ...

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NLP Scientist

South San Francisco, CA · On-site

$75.23 - $83.23/hr

BEPC is actively looking for NLP Scientist, in South San Francisco, CA area ... W2 Contract - 6 months with possible extensions! Benefits include medical, dental, vision, and life ...

You will build models that work with complex supply chain data - demand history, ERP/MRP ... Contract and temporary roles are not eligible for the above benefits. Compensation Pay Range: $160k ...

Showing results 41-60

Data Scientist Contract information

See San Ramon, CA salary details

$41.9K

$137.2K

$219.6K

How much do data scientist contract jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data scientist contract in San Ramon, CA is $137,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What is a data scientist contract?

Data Scientist contract jobs are temporary positions where professionals analyze and interpret complex data to help organizations make informed decisions. Unlike full-time roles, contract data scientists are hired for a specific period, often to work on particular projects or to provide specialized expertise. These contracts can range from a few months to a year or more, and may be offered through staffing agencies, consultancies, or directly by companies. Contract roles offer flexibility and exposure to diverse industries, but typically do not include employee benefits such as health insurance or paid time off.

What does a contract data scientist do?

As a contract data scientist, your job is to provide independent support to a client for a freelance project or assignment. In this role, you may analyze a database to obtain useful information, use statistics to interpret the results, help identify trends within the industry, and make recommendations about the best course of action. Contract data scientists often help analyze historical data, build or refine templates and dashboards, assist full-time employees, and use predictive modeling to evaluate future company needs. The length of each contract varies, but it's possible to work with the same company for a year or more.

What are the key skills and qualifications needed to thrive as a contract data scientist, and why are they important?

To thrive as a Data Scientist Contract, you need a strong background in statistics, data analysis, and programming, usually supported by a degree in a quantitative field. Proficiency with tools such as Python, R, SQL, machine learning libraries, and data visualization platforms is typically required, along with knowledge of cloud-based data environments. Excellent problem-solving abilities, adaptability, and strong communication skills help you translate complex data findings into actionable business insights. These skills ensure that contract data scientists can quickly deliver high-impact solutions and integrate seamlessly into diverse project teams.

What are some common challenges faced by data scientists working on a contract basis, and how can they be addressed?

Contract data scientists often face challenges such as quickly adapting to new teams and workflows, managing varying project scopes, and ensuring clear communication with stakeholders who may not have technical backgrounds. To address these, it's important to establish clear objectives and deliverables at the outset, maintain proactive communication, and document work thoroughly. Building strong relationships with both technical and non-technical team members can also help ensure project success and smooth collaboration.

What is the difference between Data Scientist Contract vs Data Analyst Contract?

AspectData Scientist ContractData Analyst Contract
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and SQL
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, consultingRetail, marketing, finance, government agencies

Data Scientist Contract roles focus on advanced analytics and machine learning, requiring higher-level skills and credentials. Data Analyst Contract positions involve data reporting and visualization, often with less emphasis on predictive modeling. Both roles are common in various industries, but they differ in complexity and scope.

What are the most commonly searched types of Data Scientist jobs in San Ramon, CA?

The most popular types of Data Scientist jobs in San Ramon, CA are:

What are popular job titles related to Data Scientist Contract jobs in San Ramon, CA?

For Data Scientist Contract jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Data Scientist Contract jobs in San Ramon, CA look for?

The top searched job categories for Data Scientist Contract jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Data Scientist Contract jobs?

Cities near San Ramon, CA with the most Data Scientist Contract job openings:

Infographic showing various Data Scientist Contract job openings in San Ramon, CA as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% In-person job distribution, with an average salary of $137,163 per year, or $65.9 per hour.

Lead Product Data Scientist

Docusign

San Francisco, CA • On-site

Full-time

Medical, Life, Retirement, PTO

This job post has expired 3 days ago. Applications are no longer accepted.


DocuSign rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

Company Overview
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
What you'll do
As a Lead Data Scientist, you will spearhead the analytical strategy for Docusign's Intelligent Agreement Manager (IAM) and next-generation Agentic AI features. You will serve as the primary bridge between Product and Engineering, setting the vision for telemetry architecture, defining key performance metrics, and orchestrating analytical roadmaps. This role requires moving beyond reactive reporting to proactively shaping the 'test-and-learn' product lifecycle through advanced modeling, experimental design, and cross-functional leadership. You work directly with stakeholders to turn data into a competitive advantage for our IAM and Agentic initiatives.
This position is an individual contributor role reporting to the Vice President, Operations & Analysis.
Responsibility
  • Act as the subject matter expert, translating abstract business goals and abstract product goals into rigorous technical data requirements for Engineering stakeholders
  • Partner with Global Data Analytics to oversee the evolution of scalable data pipelines and architectural integrity
  • Define and govern the product telemetry strategy, partnering with Engineering to ensure high-fidelity data collection across the integrated IAM suite and Agentic workflows
  • Identify patterns in cross-product usage cohorts and adoption signals, synthesizing these into roadmap recommendations for senior leadership and product managers
  • Design rigorous experimentation frameworks that move beyond basic A/B testing to optimize complex, cross-product user journeys and LLM-based feature performance
  • Oversee the development of automated dashboards and analytical tools that allow business users to independently interpret performance and drive adoption
  • Serve as the primary analytical partner to Product, Engineering, and Research, identifying and prioritizing high-impact data opportunities that accelerate IAM and Agentic initiatives
  • Communicate complex analytical findings and modeling frameworks to non-technical stakeholders, influencing strategy across functional lines
  • Act with a sense of urgency to resolve analytical roadblocks and proactively solicit cross-functional input to ensure data initiatives meet business objectives

Job Designation
Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
What you bring
Basic
  • BA/BS degree in a quantitative field (e.g., Statistics, Math, CS, Economics) or equivalent practical experience
  • 12+ years of experience in product analytics or data science within a SaaS/Cloud environment
  • Experience mapping holistic user journeys by joining data across disparate product ecosystems to measure multi-product adoption funnels
  • Experience translating abstract product goals into rigorous technical telemetry requirements and partnering with Engineering to implement them
  • Experience with SQL for data analysis and validation; experience designing and maintaining automated dashboards in tools like Tableau, Power BI, or HEX
  • Experience in statistical analysis, experimental design, and data modeling to solve complex business problems
  • Experience communicating complex technical findings and data strategy to non-technical stakeholders

Preferred
  • Exceptional ability to lead through influence, navigating cross-functional and organizational lines to align Product and Engineering roadmaps
  • Deep expertise in evaluating LLM-based product features and optimizing "human-in-the-loop" agentic workflows
  • Experience designing and refining machine learning models with a focus on user intent, behavior prediction, and user segmentation
  • Mastery of A/B testing, cohort analysis, and iterative testing methodologies to drive optimization in complex, multi-stage user journeys
  • Ability to synthesize product performance metrics and integration data into actionable recommendations that shape long-term product strategy

Wage Transparency
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Based on applicable legislation, the below details pay ranges in the following locations:
California: $186,100.00 - $300,550.00 base salary
This role is also eligible for the following:
  • Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
  • Stock: This role is eligible to receive Restricted Stock Units (RSUs).

Global benefits provide options for the following:
  • Paid Time Off: earned time off, as well as paid company holidays based on region
  • Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
  • Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
  • Retirement Plans: select retirement and pension programs with potential for employer contributions
  • Learning and Development: options for coaching, online courses and education reimbursements
  • Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events

Life at Docusign
Working here
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.
Accommodation
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
Applicant and Candidate Privacy Notice
States Not Eligible for Employment
This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
Equal Opportunity Employer
It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
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