Source Job

• Partner directly with the CFO, VP Finance, and FP&A team to deliver high-impact analytical insights.
• Design and execute sophisticated analytical frameworks to evaluate GitLab's financial performance.
• Develop, maintain, and continuously improve executive-level dashboards and reporting.

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform , used by more than 100,000 organizations.

• Collaborate with cross-functional partners across Product, Engineering, Research, and more to solve product development's biggest challenges.
• Use data to identify opportunities, upcoming challenges, and ensure products bring value to people and businesses.
• Partner with teams to prioritize what to build, set goals, and understand their product’s ecosystem.

Atlassian's software products help teams all over the planet, with solutions designed for all types of work. Team collaboration through their tools makes what may be impossible alone, possible together; they value the unique contributions of all Atlassians.

• Collaborate with Finance, Sales, Marketing, and Product partners to frame data-centric business questions and deliver clear, actionable insights.
• Analyze complex, cross-functional datasets to identify trends, risks, and opportunities that inform strategic and operational decisions.
• Build, maintain, and enhance dashboards and reports that make financial and business performance easy to understand for non-technical stakeholders.

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. 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.

Transform data into actionable insights for product, operational, and business decisions. Analyze complex datasets and build predictive models to solve ambiguous problems. Collaborate with cross-functional teams to define data needs and drive data-driven solutions.

Oowlish is one of Latin America's rapidly expanding software development companies.

• Work with various data sources to generate insights impacting operational decisions.
• Apply Data Science and modeling principles to design, test, and implement data-based solutions.
• Create dashboards and visualizations to track key performance indicators and communicate trends effectively.

Vital Farms drives business decisions that benefit all its stakeholders, leading to even better business results.

• Act as a data-driven partner providing strategic insights and recommendations.
• Conduct deep dives into user behavior to identify growth opportunities.
• Build and maintain dashboards and KPIs to track business performance.

Jobgether is a platform that uses AI-powered matching to connect candidates with jobs. They ensure applications are reviewed quickly and fairly, identifying top candidates for hiring companies.

• Partner with Product Owners and Data Teams to improve existing reports.
• Analyze data to generate actionable insights and provide recommendations.
• Design and build robust data models in SQL.

Ruby Labs is a leading tech company that creates and operates innovative consumer products and offers opportunities across health, education, and entertainment.

• Advance conviction in decision-making throughout Juul Labs.
• Build models to analyze various datasets across the organization, leveraging commercial sales and execution data.
• Develop new systems and tools to enable stakeholders to consume and understand data more intuitively.

Juul Labs's mission is to transition the world’s billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products.

• Contribute to the design and implementation of highly scalable data infrastructure.
• Implement and maintain end-to-end data pipelines supporting batch & realtime analytics.
• Work with Product, Engineering, and Business teams to understand data requirements.

Docker makes app development easier so developers can focus on what matters and has a remote-first team that spans the globe.

Work closely with Product Development to identify high-impact business problems that can be solved through data science and machine learning methods. Design, prototype, and test new products and data solutions. Develop scalable, efficient, and automated workflows capable of analyzing large volumes of data from various sources.

Wpromote builds better, more inclusive work environment and supports its people at every stage of their careers by prioritizing a strong work-life balance.

As a Data Scientist at CodePath, you will work across the full analytics and modeling lifecycle, supporting data pipelines, conducting exploratory analysis, building statistical and machine learning models, and developing the insights that guide organizational strategy. You will collaborate closely with data engineering and cross-functional partners to ensure our data systems, analyses, and models enable student success, operational efficiency, and accurate impact measurement. This role is ideal for someone who enjoys solving problems in a fast-paced environment, applies clear analytical thinking, and wants to grow by supporting high-impact projects that advance CodePath’s data and AI work.

CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders.

• Set the company-wide strategy for product analytics, business metrics, and GTM insights.
• Define the core measurement frameworks for product usage, activation, retention, expansion, and customer value.
• Ensure analytics meaningfully influence product roadmap decisions, GTM strategy, and operational planning.

Freshpaint helps healthcare marketers promote access to care and safeguard patient privacy. The company is fully remote, backed by leading investors including Y-Combinator, Intel Capital, and angel investors, and it gathers the team 2x times per year for offsites.

• Design, build, and deploy predictive and prescriptive models in the cloud.
• Combine and analyze large-scale data sources to identify key performance drivers.
• Translate complex model results into clear business recommendations and present them to senior stakeholders.

SharkNinja is a global product design and technology company with a diversified portfolio of 5-star rated lifestyle solutions.

Transform complex data into actionable insights to drive marketing performance and business growth. Analyze customer behaviors, optimize campaigns, and inform strategic decision-making across digital platforms and CRM systems. Translate data into clear, executive-level recommendations, collaborating with marketing, product, and strategy teams.

This position is posted by Jobgether on behalf of a partner company; they use an AI-powered matching process to ensure your application is reviewed quickly and fairly.

• Build a marketing data ecosystem to turn data into actionable insights.
• Design and implement a reliable, scalable marketing data infrastructure.
• Create dashboards and visualizations to surface insights for cross-functional teams.

Kraken is a mission-focused company rooted in crypto values that accelerates the global adoption of crypto, so that everyone can achieve financial freedom and inclusion.

• Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools and publishing documentation.
• Collaborate directly with stakeholders to define problems and determine requirements for a solution. Set and maintain best practices for data models and processes.
• Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them. Own documentation of our tools and data.

Articulate Global, LLC, is a SaaS provider of creator platforms for online workplace training. They have more than 118,000 customers in 170 countries and counts all 100 of the Fortune 100 companies as customers. They are named one of Inc. Magazine’s Best Workplaces 2022 and a leader in building a human-centered organization.

Partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company. Define and own the KPIs that measure product health, user engagement, and marketplace performance. Translate complex data into actionable recommendations for product and leadership teams.

Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love.

• Partner closely with AI Decisioning customers and internal engineering teams.
• Diagnose model behavior, tune ML levers, and analyze incrementality.
• Explain insights to marketers and executives.

Hightouch is the modern AI platform for marketing and growth teams, partnering with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

• Conduct advanced data analysis and modeling to generate insights using statistical models and machine learning.
• Translate complex data science concepts into actionable business insights for senior executives.
• Collaborate with cross-functional teams to ensure the successful delivery of high-impact data science initiatives.

ConnectiveRx untangles the prescription process and creates a clear path—allowing patients to build trusting relationships with their medication brands.

• Explore, analyze, and visualize large datasets from mobile + web observability data and user session data
• Develop statistical measures and applied models to identify meaningful classifications, trends, anomalies, or predictive signals in event data
• Partner with Embrace staff (product + data science) to prioritize research projects and translate research insights into potential product features

Embrace is the only user-focused observability solution built on OpenTelemetry, delivering insights across DevOps, web, and mobile teams. Customers like The New York Times and Home Depot use Embrace's platform to make complicated data actionable, reflecting the company's values of continuous improvement.