You'll **build predictive models** and **drive data-driven insights** for Fortune 500 clients in a fast-paced hybrid environment.

Datalab USA

Job openings at Datalab USA

You'll **collaborate with Analytics Engineering** to bring new data products to production, establishing strong cross-departmental relationships.

Ibotta

Cash-back and consumer loyalty

Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems. As a founding product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business. What You’ll Do Conduct in-depth analysis to shape product PLG motion and B2B strategy. Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights. Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently. Improve execution rigor of product teams by owning success metrics and opportunity sizing. Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis. Provide creative solutions for tricky experimentation scenarios. Evolve experimentation culture and practices within the company. What You Bring 5–8 years of experience in a Data Scientist or similar role. 3+ years working in a growth function. Strong business and product intuition to identify opportunities in the growth ecosystem. Strong knowledge of statistical analysis and A/B tests. Strong SQL skills and proficient in at least one programming language such as Python or R. Excellent communication and collaboration skills. Curiosity, savviness to navigate in a dynamic environment, and a growth mindset. Having worked at a fast-growing start-up is a plus. The base salary range for this role is $200,000 - $250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above. About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors ( OpenAI , Andreessen Horowitz , Redpoint Ventures , Spark Capital ). Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in person collaboration. For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person. Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.

Careers | Descript

Help build the future of media creation.

You'll design **large-scale mapping datasets** and **data pipelines** for autonomous driving.

Zoox

Autonomous vehicle technology

Your impact will shape experimentation and trade-offs between **growth and abuse prevention** as the first dedicated data scientist on this team.

OpenAI

OpenAI Jobs

This is a foundational role shaping the **Data Science function** at a hyper-growth company.

Harvey

Harvey Jobs

About the team Our Data team is the backbone of Aircall’s decision-making process, driving product development and business growth with cutting-edge data products, tools, and actionable insights About the role As a Data Scientist, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation.

Aircall

Job openings at Aircall

You'll partner closely with Product and Engineering to turn real-world risk into **clear, data-driven insights**.

Findigs

Smart rental screening for property managers

The Music Mission enables music creators to grow, engage, and monetize their fan bases on Spotify. Central to the Music Mission's vision is the development of promotional tools for artists and label teams, powered by Spotify's deep knowledge of listener behavior. Products like Discovery Mode, Marquee, Showcase, Music Videos, and Clips help artists and their teams grow their audiences, connect with fans, and achieve their goals on Spotify. We're looking for a Data Scientist to join Discovery Mode within the Music Mission. Discovery Mode is a tool for artists and music marketers designed to help find new listeners when it matters most. With Discovery Mode, artists and labels identify songs that are a priority, and our systems use that signal to inform the algorithms that power personalized recommendations. This role sits within the ML squad that builds and operates the models behind Discovery Mode's measurement system, and you'll serve as the squad's analytical lead. In this role, you'll partner closely with product managers and ML engineers to evaluate and improve the models that power Discovery Mode. You'll tackle complex analytical problems by designing experiments, developing evaluation frameworks, and building the analytical foundations that help keep our models accurate, reliable, and impactful for artists. As part of the Product Insights team within Music Mission, you'll help shape the measurement systems behind one of Spotify's most important promotion products.

Spotify

Commercial music streaming service

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Airbnb is a mission-driven company dedicated to creating a world where anyone can belong anywhere. Our Community Support (CS) team is at the heart of that mission—delivering seamless, 10-star customer service experiences complemented by world-class, personalized human support that empowers hosts and guests at every step of their journey. As a Data Scientist working on Algorithms in CS, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation agents to enable personalized, fair and exceptional experience for guests & hosts using advanced LLM/ML modeling for Community Support. The Difference You Will Make: We're looking for a talented Data Scientist with LLM/ML expertise to join the Community Support Data Science team. In this role, you'll partner closely with the tech lead to tackle significant components of high-impact projects with a direct opportunity to shape and influence our AI-powered products, differentiated service experiences, and operational optimization strategies. The ideal candidate combines deep technical fluency in LLM/ML with a bias toward action and impact, comfort with ambiguity, and a passion for building scalable, scientific solutions. You’ll work on high-impact projects like: Implement advanced techniques to automate the LLM evaluation process with high efficiency and quality. Scale the high-quality synthetic datasets curation across various CS domains for training and evaluating LLM. Build LLM/ML models to understand customer issues based on diverse datasets and identify failure modes and opportunities for improvement. Build personalization models to offer differentiated experiences and maximize business impact. A Typical Day: Discover Opportunities: Identify high-impact business opportunities through data exploration and model prototyping, and translate business problems into scientific formulations. Uncover Insights: Analyze structured and unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy. Build and Ship: Build and deploy production LLM/ML models that directly contribute to the launch of data-driven products, leveraging AI tools to enhance efficiency and impact. Collaborate Cross-Functionally: Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation. Influence Decisions: Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making. Empowerment: Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes. Your Expertise: 2+ years of relevant industry experience (e.g. data/ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields. State-of-the-art knowledge of AI/ML models. Strong fluency in Python/R and SQL, observation causal inference skill is a plus. Proven ability to communicate clearly and effectively to audiences of varying technical levels. Ability to translate complex findings and results into compelling narratives that drive impact. Excellent project management, communication, and collaboration skills. A product-oriented mindset, with the ability to apply conceptual and innovative thinking to develop and implement solutions that consider the user experience. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected] . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range$151,000—$175,000 USD

Positions Archive

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** through data modeling and experimentation. … You'll own complex analyses end-to-end and champion data quality across the organization.

Careers at Figma

Our vision is to make design accessible to all. We focus on building our software with care and craftsmanship, and…

You'll work with diverse datasets and technologies to build **scalable automated solutions** for challenging data problems.

Jobs at Tatari

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You'll work on **diverse data sets** with Python, PySpark, and SQL to build scalable automated solutions.

Jobs at Tatari

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You'll design experiments, build causal models, and drive data-informed decisions that directly impact service quality and fairness.

Positions Archive

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Your work will directly inform the company's most critical decisions, making Databricks more data-driven at the highest levels. … You'll serve as the **statistical voice** of the Data Science organization, translating complex findings into narratives for the **CEO and Board**.

Current job openings at Databricks | Databricks

Explore career opportunities at Databricks. Discover open positions and join our team to innovate in data, analytics, and AI.

Role Description We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. Responsibilities Develop a deep understanding of customer journey phases and key business metrics Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL and large unstructured datasets such as Hadoop Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters’ or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$149,200—$201,800 USDUS Zone 3$132,600—$179,400 USD

Own Your Impact At Dropbox | Dropbox Careers

Discover a transformative career at Dropbox, where your impact matters. Embrace your true self, master your craft, and experiment boldly…

You'll build **data products and insights** that shape how 50,000+ companies manage billions in spend.

Ramp

Forecasting for B2C companies

You'll lead **data-science and risk-analytics** workstreams supporting **Safeguards' risk-based review selection**.

Jobs at eTelligent Group LLC

Over the past 15 years, eTel has delivered essential solutions for the federal government by securing and managing data, providing…

You'll leverage vast data to drive growth, portfolio monitoring, and infrastructure at a fintech startup empowering small businesses.

Parafin

Parafin Jobs

You'll join a **high-impact Data Science & Analytics team** to drive strategic decisions across **growth, product, AI, or partnerships**.

Jerry

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