Jobs in the United States

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Added 19 hours ago
Data Scientist
Federal Express Corporation
Memphis, TN
…required in at least one programming language, such as (SQL, Python, R, Java, or similar language) and one visualization tool/package such as (Spotfire, Tableau, Power BI, ShinyApp, Plotly,…
Added 19 hours ago
Strategy & Operations Analyst
Formlabs
Somerville, MA
…right people, and build much of the solution yourself with SQL, Python, automation, and AI tools. You’ll also be a key partner to the CIO in running the IT & Systems organization: driving…
Added 19 hours ago
P
Senior Analytics Developer – Residential Lending Analytics
Procom
Remote, United States
- $90 USD / hour
Senior Analytics Developer – Residential Lending Analytics: On behalf of our Financial Services client, Procom is searching for a Senior Analytics Developer – Residential Lending Analytics…
Added 19 hours ago
Data Scientist, Enterprise Analytics
GitLab
Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and…
Added 19 hours ago
2027 Summer Intern, PhD, Research Scientist Intern
Waymo
Mountain View, CA
Strong software development experience in Python and debugging capability
Added 19 hours ago
Security Engineer, Security for Employee and Legal Systems (SEALS)
Amazon.com Services LLC
Seattle, WA
● Execute security assessments and code reviews for HR and Legal applications using your team's established processes and tooling, primarily in Java, Python, and JavaScript.
Added 19 hours ago
Research Scientist, SCOT First Inbound
Amazon.com Services LLC
Bellevue, WA · New York, NY
- Experience with any programming language such as Python, Java, C++
Added 19 hours ago
Software Engineer II - AI/ML, Neuron Inference, Neuron Inference
Annapurna Labs (U.S.) Inc.
Cupertino, CA
…efficiency running on AWS Trainium. Strong software development in Python, system-level programming, and ML knowledge are all critical to this role. Our engineers collaborate across…
Added 19 hours ago
Staff Software Engineer, Business Systems & Integrations
Groq
NY
High-Coding Commitment: Dedicate 60–70% of capacity to hands-on software development in Python, Go, or modern TypeScript/JavaScript ecosystems.
Added 19 hours ago
Senior Data and AI Integrator
CACI
Offutt AFB, NE · Offutt AFB
Develop and automate analytic workflows using Python, R, and related data science tools to accelerate data discovery, processing, and analysis.
Added 19 hours ago
O
Senior Planning & Deployment Engineer
Oracle
Reston, VA
- $126,200 to $264,100 USD / year
Proven expertise in data analytics, baseline measurement, KPI dashboard creation, and value capture framework design (e.g., SQL, PowerBI, Tableau, Python, or R).
Added 19 hours ago
QA Test Engineer, Industrial
Litmus
Santa Clara, CA
5+ years in software test automation, including at least 3 years writing test code in Go, Python or a similar language. This is not a manual or record and playback role.
Added 19 hours ago
Senior Systems Architect, Precision Stage V (E5)
Applied Materials
Santa Clara, CA · Santa Clara
Added 19 hours ago
Web Developer II
Chenega Corp
Albuquerque, NM
The Web Developer II provides web design, development, implementation, and maintenance support for DOI/IA digital services, including Internet, Intranet, Wiki, social media, and web…
Added 19 hours ago
Operations Business Analyst
Jabil Inc.
St. Petersburg/Tampa, FL
Familiarity with at least one data or low-code tool (Power Platform, SQL, Excel, Python, Tableau, etc.). Willingness to learn the rest.
Added 19 hours ago
Sr Software Engineer
Cengage Learning Inc.
OH
Develop, update and optimize data transformation and delivery scripts, using Python and AI tools (such as Codex)
Added 19 hours ago
Business Systems Manager
Willis Johnson Wealth
Houston, TX
Automate repetitive manual work using scripting (Python or PowerShell) and integration tools
Added 19 hours ago
JS
Security Operations Center (SOC) Analyst
JCS Solutions LLC
Alexandria, VA
- $75,000 to $130,000 USD / year
Added 19 hours ago
AI Engineer
ServiceTitan, Inc.
Remote, United States
Strong hands-on coding ability in Python (strongly preferred) or a comparable backend language such as TypeScript, C# or Java, with clean, tested code.
Added 19 hours ago
Manufacturing Test Engineering Manager
Anduril Industries
Costa Mesa, CA · Mountain View, CA
Added 19 hours ago
II
Mid Software Developer
ITA International
UNAVAILABLE
- $90,000 to $128,000 USD / year
ITA is seeking a Mid-Level Software Developer to join the team.
Added 19 hours ago
Laser Welding Engineer
Ford
Dearborn, MI · Dearborn
Added 19 hours ago
Staff Technical Marketing Engineer
Infoblox
Tacoma, WA · Atlanta, GA · Sacramento, CA · Albany, NY
Proficiency in programming or scripting languages such as Python, JavaScript, or Bash, with experience building tools, APIs, or automations
Added 19 hours ago
Staff DevOps Engineer (Platform)
1upHealth
Remote, United States
…and deliver improvements across testing, infrastructure, and developer experience to make the platform more reliable and easier to build…
Added 19 hours ago
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Multi-scale Physics Battery Modeling Intern
Toyota Research Institute
Los Altos, CA
- $45 to $65 USD / hour

GitLab

Data Scientist, Enterprise Analytics

Remote, United States

$86,400 - $176,400 USD

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Job details

Pay: $86,400 - $176,400 USD
Experience: 3-5 years of professional experience in GTM analytics, data science, or a similar technical role
Posting language: English
Posted: Oct 30, 2026

Original job description

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.

The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.

*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.

An Overview of this role

As a Data Scientist at GitLab on the Enterprise Analytics team, you’ll be a trusted analytical partner to Sales, Revenue Operations, and Finance, helping define how we measure go-to-market performance and where we invest to grow. This is a strategic and hands-on role. You’ll apply statistical, experimentation, and machine learning methods to forecast outcomes, explain what drives activation, conversion, expansion, and retention, and size opportunities. You’ll also support the company-level reporting and GTM performance views that executives use to run the business, covering consumption, ARR, and first orders.

What you’ll do

Embed yourself with business teams to become a trusted partner supporting insight generation and strategic decision making across GTM.
Perform exploratory data analysis to uncover behavioral trends, long-term patterns, and the key drivers and levers behind business performance, and communicate their impact clearly to non-technical audiences.
Build and productionize machine learning models - such as propensity, product-qualified lead (PQL) scoring, churn, and expansion models - including training, validation, testing, and feature engineering, using MLOps practices and tooling (CI/CD for ML pipelines, model registries, automated retraining, and monitoring) to move work reliably from notebook to production
Design, run, and evaluate growth experiments (A/B tests and quasi-experiments) on onboarding, pricing and packaging, and upgrade flows, and measure their impact on activation, conversion, and retention
Build and operationalize agentic workflows for analysis, modeling, and pipeline automation, with evaluation and monitoring that keep agent-generated insights accurate, traceable, and trustworthy.
Contribute to GitLab’s Semantic Layer enabling stakeholders and agents to self-serve metrics using trusts and tested sources.
Write production-grade Python and SQL that meets internal standards for style, maintainability, and performance in a high-scale database environment; maintain and advocate for these standards through code review

What you’ll bring

3-5 years of professional experience in GTM analytics, data science, or a similar technical role
Demonstrated ability to translate ambiguous business problems into clear, measurable questions and communicate technical concepts effectively to non-technical stakeholders.
Experience with experimentation and causal inference (A/B testing, power analysis, quasi-experimental methods) and with statistical and machine learning methods such as regression, classification, clustering, and survival analysis
Deep, hands-on understanding of SQL in cloud data warehouses (like Snowflake SQL), including working with product usage and event data, and in business intelligence tools (Looker, Tableau, Hex, or similar)
Experience using Python for statistical modeling, machine learning, and production data science. With hands-on experience in pandas, NumPy, scikit-learn, Jupyter, and related libraries such as LightGBM and XGBoost
Hands-on experience building agentic workflows with AI coding agents (e.g., Claude Code, OpenCode, or similar), including connecting agents to the right context, tools, and platforms such as MLflow, and evaluating their output for accuracy and reliability.
Experience working in a B2C company working with motions and metrics, including Consumption, CRR, ARR, and Churn & Contraction
Self-motivated and self-managing, with strong organizational skills
Ability to use GitLab and to thrive in a fully remote organization

About the Team

The Enterprise Analytics team builds the trusted data products and insights behind GitLab’s Company wide sales, revenue, and finance reporting. We work across the business on metrics including First Orders, pipeline, CRR, ARR, and other key indicators, helping leaders make informed decisions and teams understand how their work contributes to GitLab’s growth.

The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

United States Salary Range

$86,400 - $176,400 USD

How GitLab Supports Full-Time Employees

Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

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More about this job

Skills

Google Analytics
GitLab
Reporting
Decision making
Data analysis
Machine learning
CI/CD
ML
Onboarding
Packaging
Python
SQL
Snowflake
Business intelligence
Looker
Tableau
pandas
NumPy
Scikit-learn
Jupyter
XGBoost
Mlflow
Organizational skills
Sales

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