Data Scientist, Product at Cantina | San Francisco

About Cantina:Cantina Labs is at the forefront of social AI innovation, crafting a collection of cutting-edge real-time models that redefine expression, personality, and realism. Our mission is to breathe life into characters, revolutionizing storytelling, connection, and creativity. Cantina, our flagship social AI platform, marks the beginning of an exciting journey.If you share our passion for harnessing AI's transformative power in human creativity and social engagement, we invite you to join us in shaping the future!About the Role:As a Data Scientist at Cantina, you will be a pivotal member of our data team, establishing the standards for data science practices within the organization. Collaborating closely with product, marketing, and engineering teams, you will play a key role in defining product success, developing models, and generating insights that guide product strategy. Your contributions will enable the entire company to leverage data effectively.What You’ll Do:Collaborate with product managers, marketers, engineers, and designers to establish success metrics and drive our product and growth strategies.Design and evaluate A/B tests and experiments to inform product and growth decisions.Create and manage dashboards, reporting pipelines, and monitoring tools that convert product data into actionable insights.Analyze user behavior and utilize findings to inspire product innovation.Promote a data-driven culture across product and leadership teams.What You’ll Bring:A minimum of 5 years of experience in data science, product analytics, or a related quantitative field.Expertise in SQL and hands-on experience with data warehouses (e.g., Redshift, Snowflake, BigQuery) and tools like dbt or Airflow.Proficiency in Python for data analysis and machine learning; experience with Hex is an advantage.A talent for transforming ambiguous questions into structured analyses with clear insights.Strong communication skills and the ability to influence decisions among both technical and non-technical stakeholders.

About Cantina:Cantina Labs is a pioneering social AI company dedicated to developing cutting-edge real-time models that redefine expression, personality, and realism. Our mission is to bring characters to life, revolutionizing the way stories are told, connections are made, and creativity is unleashed. With Cantina, our flagship social AI platform, we are just getting started in transforming the digital landscape.If you share our enthusiasm for leveraging AI to enhance human creativity and social interaction, we invite you to join us in shaping the future!About The Role:As a key member of Cantina's product team, you will take ownership of an expansive and evolving product area that is just beginning to take flight. You will have the opportunity to establish processes and collaborate with a diverse, global team of engineers and designers. Your role will involve daily partnerships with engineering, design, marketing, leadership, and analytics teams. You'll play a critical part in defining the success of Cantina's web product, managing the product roadmap, and fostering a vibrant product culture.What You'll Do:Lead the prioritization, roadmap, and execution of Cantina’s web product on a daily basis.Collaborate with Cantina's executive team to create a premier, AI-first video editing experience for the web.Facilitate sprint planning, backlog grooming, and Jira prioritization for an internationally distributed web team of eight.Work closely with engineering, design, and data teams to iterate on the web experience and expand its user base.Engage directly with creators and users to gather feedback and insights for continuous product improvement.Define and refine video creation and editing workflows, including trimming, effects, filters, publishing, and sharing.Maintain close collaboration with Client teams to ensure a feature-complete web product.Guarantee that the web video product is user-friendly, high-performing, and meets the expectations of a skilled creator community.What You'll Bring:3-5+ years in product management, ideally with at least 1 year of experience in video creation tools, video editing, or video platform products. Experience with web-based video editors is a plus.Proficiency in Jira, with experience leading sprint planning and managing a roadmap for teams of 9 or more engineers.A strong understanding of product development processes and agile methodologies.Excellent communication skills and the ability to collaborate effectively across diverse teams.A passion for innovation and a commitment to enhancing user experiences.

Join Cantina Labs as a Product Manager!At Cantina Labs, we are pioneering the future of social AI, creating a remarkable suite of real-time models that redefine expression, personality, and realism. Our flagship platform, Cantina, is transforming storytelling and social connections through innovative AI technologies.If you are passionate about harnessing the power of AI to enhance human creativity and interactions, we invite you to join our dynamic team!Your Role:We are seeking a skilled Product Manager to oversee various aspects of our product ecosystem, including onboarding, storylines, content discovery, and user retention. You will collaborate closely with design and engineering teams to guide product features from conception to launch, monitor product performance in production, and continuously assess opportunities for improvement. This fast-paced role is ideal for someone adept at managing multiple projects and who takes ownership of their work.Key Responsibilities:Lead product execution for onboarding, in-feed experiences, discovery, storylines, and user retention, overseeing features from requirements to launch.Draft clear, actionable specifications that empower design and engineering teams to work efficiently.Analyze product performance using dashboards and analytics to ensure optimal health.Design and evaluate A/B tests, making data-driven decisions on product iterations.Work daily with design teams to refine UX flows and ensure high-quality implementation.Maintain an ongoing understanding of product performance, providing proactive recommendations for the roadmap.Contribute innovative ideas that push the boundaries of AI capabilities!

About Cantina:Cantina Labs is a pioneering social AI company, dedicated to developing a cutting-edge suite of real-time models that redefine expression, personality, and realism. Our mission is to animate characters in a way that transforms storytelling, connection, and creativity. With Cantina, our flagship social AI platform, we are just beginning to unlock the potential of AI in shaping human interaction.If you are passionate about the role of AI in enhancing creativity and social experiences, we invite you to join us in crafting the future!About the Role:As a Senior iOS Engineer at Cantina, you will spearhead the development of groundbreaking, high-performance features. This includes designing personalized feeds, creating immersive custom UIs, and empowering our bots with advanced AI-driven functionalities such as chat, text-to-speech, voice selection, image generation, and real-time media effects.You will work closely with Product Managers, Designers, and other key stakeholders to shape the direction of a product that is central to our mission. You will have the opportunity to iterate quickly on impactful updates and enjoy the freedom to bring your innovative ideas to fruition.We seek an individual who excels in pushing the boundaries of iOS development and possesses a fervent desire to create visually stunning, high-performance experiences. Your knowledge of custom graphics, animation frameworks, and media pipelines will be pivotal in establishing the creative foundation of our flagship application, ultimately advancing user experience and innovation within the social AI landscape.What You’ll Do:Utilize frameworks and technologies such as UIKit, AVFoundation, Combine, Core Animation, and others.Lead the development of new AI and media-centric features.Construct and optimize video/audio pipelines, real-time media effects, and AI-enhanced visual features.Participate in Architecture meetings to ensure our applications meet the highest quality standards.Collaborate with Product, Design, and QA teams to deliver polished, scalable user experiences.Own features and contribute as part of a small team that delivers applications to a vast user base.Join a supportive team that values constructive feedback focused on growth.What You’ll Bring:8+ years of experience developing iOS applications.Expertise in custom graphics, animation frameworks, and media pipelines.Strong problem-solving skills and a passion for innovation.

Join Cantina Labs:At Cantina Labs, we are pioneering the future of social AI by creating innovative real-time models that redefine expression, personality, and realism. Our work transforms characters into vibrant storytellers, revolutionizing the way individuals connect and create. Cantina, our flagship platform, is just the beginning of our journey to shape human creativity through technology.If you are passionate about harnessing the power of AI to enhance social interactions and artistic expression, we invite you to be part of our visionary team!About the Creative Director Role:As the Creative Director, you will be instrumental in defining and amplifying Cantina's brand presence across all platforms. This role encompasses managing the visual and narrative representation of our brand, ensuring a cohesive, innovative, and high-quality output across digital, physical, and experiential mediums. The ideal candidate will be a creative visionary and a hands-on maker, proficient in disciplines such as copywriting, graphic design, motion graphics, video editing, and 3D production. You will thrive in developing impactful campaigns while refining our foundational brand systems, linking exceptional creative output to strategic business goals.Your Responsibilities:Lead and build a high-performing internal creative services team that delivers an extensive array of quality work across marketing, product, sales, and executive needs.Oversee workflow, resource allocation, and prioritization to manage everything from rapid internal asset creation to large-scale brand campaigns.Direct external agencies, production partners, and freelance talent, ensuring that all creative outputs align with Cantina’s brand standards and strategic goals.Develop and enhance Cantina’s brand identity across various channels including social media, paid media, broadcast, print, out-of-home advertising, web, events, and physical spaces.Conceptualize and spearhead integrated creative campaigns from inception through execution, collaborating with Marketing, Product, and Leadership teams to ensure strategic alignment.Contribute personally to creative work across various mediums as needed, including copywriting, visual design, motion graphics, video production, and 3D design.Establish and maintain scalable brand systems including templates, guidelines, toolkits, and internal resources to ensure organizational quality and consistency.Present creative strategies and outputs to executive leadership, effectively communicating the business impact and strategic alignment of creative initiatives.

Join Mixpanel as a Data Scientist and contribute to our mission of helping businesses make data-driven decisions. In this role, you will analyze complex datasets, develop predictive models, and provide actionable insights to enhance our product offerings.

At Superhuman, we embrace a vibrant hybrid working model that combines focused work time with essential in-person collaboration, cultivating trust, innovation, and a robust team culture.Our Data Scientists must be located in San Francisco, Seattle, or New York City.About SuperhumanSuperhuman is an AI productivity platform aiming to unlock the superhuman potential inherent in everyone. With a suite of applications and agents, Superhuman integrates seamlessly with over 1 million applications and websites, delivering advanced tools including Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that responds to context and offers assistance automatically. Since our founding in 2009, we have empowered over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally to eliminate mundane tasks and focus on what truly matters. Discover more at superhuman.com and explore our values here.The OpportunityTo fulfill our ambitious objectives, we are seeking accomplished Data Scientists to join our Product and Growth Data Science teams. Data teams at Superhuman are trusted experts who reveal new insights to guide marketing, product, and growth strategies that yield significant outcomes for the company. We manage extensive datasets and are looking for individuals with exceptional technical and analytical capabilities to dissect complex business challenges and provide impactful solutions.Growth Data Scientists work closely with product, engineering, growth, and lifecycle marketing teams. They are responsible for designing and executing product experiments and performing intricate analyses to shape product strategies through advanced analytics and machine learning. The ideal candidate will demonstrate a proven history of delivering significant analytical projects in the Growth sector and collaborating effectively with cross-functional peers to influence decision-making.Product Data Scientists focus on assessing the quality of Superhuman products across the board, evaluating everything from the usefulness and accuracy of text suggestions to the engagement of new AI features.

About SemgrepSemgrep stands at the forefront of code security, empowering developers to innovate seamlessly. Our platform enables teams to identify, flag, and resolve genuine security issues before deployment, supported by an adaptive security system that evolves with their development process. Semgrep not only safeguards code in real-time but also offers essential guardrails that facilitate rapid development without compromising security. Trusted by top organizations like Snowflake, Dropbox, and Figma, we are recognized by Gartner for excellence in Application Security Testing. To learn more about our mission, visit semgrep.dev.Founded in San Francisco and backed by prominent investors including Menlo Ventures and Sequoia Capital, Semgrep is dedicated to continuous improvement, ensuring that our AI-driven system minimizes false positives and prioritizes actionable vulnerabilities. Experience the future of secure coding with us.

Join SoFi, a leading personal finance company, as a Data Scientist where you will leverage data to drive strategic decisions and enhance user experiences. In this role, you will analyze complex datasets, build predictive models, and collaborate with cross-functional teams to propel our innovative solutions forward.

Join Mercor as a Data ScientistAt Mercor, we stand at the forefront of labor markets and artificial intelligence research. We collaborate with top-tier AI laboratories and businesses to infuse the human intelligence crucial for the evolution of AI.Our expansive talent network empowers frontier AI models, mirroring the way educators impart knowledge: sharing insights and experiences that transcend mere coding. Currently, our network boasts over 30,000 experts generating more than $2 million daily.We are pioneering a new work paradigm where specialized expertise drives AI progress. To realize this vision, we seek a dynamic, fast-paced, and dedicated team. You will collaborate with leading researchers, operators, and AI companies, playing a pivotal role in the systems that are reshaping society.As a profitable Series C company, Mercor is valued at $10 billion and operates from our new headquarters in San Francisco with an in-office work schedule five days a week.Your RoleIn your first year, you will implement analyses and experiments that enhance key product metrics, including match quality, time-to-hire, candidate experience, and revenue. Your responsibilities will include:Establishing north-star and feature-specific metrics for our ranking systems, interview analytics, and payout frameworks.Designing and executing A/B tests and quasi-experiments, translating results into product decisions within the same week.Creating source-of-truth dashboards and streamlined data models to enable teams to self-serve answers.Collaborating with engineers to instrument events, enhancing data quality and latency from ingestion to insights.Rapidly prototyping models (from baseline models to gradient boosting) to optimize matching and scoring.Assisting in the evaluation of LLM-powered agents through the design of rubrics, human-in-the-loop studies, and guardrail mechanisms.What Makes You a Great FitYou possess strong foundational skills in statistics, SQL, and Python, alongside projects you are eager to showcase. You adapt swiftly, frame inquiries, test hypotheses, and deliver results within a day, valuing clarity in communication as much as statistical significance. A keen interest in LLM evaluation, retrieval, and ranking is a plus; you will learn alongside professionals from renowned firms such as Jane Street, Citadel, Databricks, and Stripe.

Superhuman offers an engaging hybrid working model for this role. This flexible approach provides team members with a balance of focused time and in-person collaboration, fostering trust, innovation, and a vibrant team culture. Team members for this position must reside in the San Francisco Bay Area. About SuperhumanSuperhuman, now part of Grammarly, is an AI productivity platform dedicated to unlocking extraordinary potential in everyone. Our suite of apps and agents seamlessly integrates AI into over 1 million applications and websites, including Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that comprehends context and provides automatic assistance. Founded in 2009, Superhuman empowers more than 40 million individuals, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com and explore our values here.The OpportunityTo achieve our ambitious goals, we are seeking skilled Data Scientists to join our Product and Growth Data Science teams. At Superhuman, data teams are regarded as trusted experts who reveal new insights to shape marketing, product, and growth strategies that drive significant outcomes across the organization. We have access to large datasets and are looking for individuals with exceptional technical and analytical abilities who can dissect complex business challenges and offer solutions that deliver high visibility and impactful results for the company.Growth Data Scientists collaborate closely with product, engineering, growth, and/or lifecycle marketing teams. They are tasked with designing and executing product experiments, as well as performing intricate analyses to guide product strategy through advanced analytics and machine learning. The ideal candidate will possess a proven record of delivering significant analytical projects within the Growth domain and working alongside cross-functional colleagues to influence decision-making.Product Data Scientists are responsible for assessing the quality of the Superhuman products, ensuring that our offerings are not only innovative but also user-friendly and effective.

Join Mindlance as a Data Scientist, where you will leverage data to drive insights and support decision-making processes. You will be responsible for analyzing complex datasets, developing predictive models, and collaborating with cross-functional teams to enhance business strategies.

Join Metriport as a Data Scientist and be at the forefront of data-driven decision making! In this role, you will leverage advanced analytics and machine learning techniques to derive insights from complex datasets, enhancing our product offerings and driving strategic initiatives.

About UsAt Koah Labs, we are revolutionizing the advertising landscape by creating an ad network designed for the next generation of AI-driven products. Our mission is to empower publishers to optimize monetization while enabling advertisers to connect with their target audience efficiently and with respect for user privacy and experience.Based in the vibrant city of San Francisco, our cohesive team consists of experts with backgrounds from prestigious companies like X, Apple, and Meta, as well as from successful startups. We have secured funding from top-tier investors and are experiencing rapid growth, gaining significant traction on both publisher and advertiser fronts.Joining Koah Labs means becoming part of a foundational team where your contributions will directly influence our product and the broader ecosystem we are building. We value speed, high trust, and a commitment to excellence in our work.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Management: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDK Development: iOS, Android, Web, Flutter, React NativeYour RoleCollaborate within the product engineering team to leverage data and causal reasoning for product decision-making.Design, implement, and evaluate experiments, analyzing outcomes for actionable insights.Elevate engineering practices by promoting data-driven decision-making and a thorough understanding of key business metrics.Employ rigorous statistical analysis and modeling to transform extensive marketplace data into impactful tools and insights that guide product strategy.Are You the Right Fit?You possess an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related discipline.You thrive on tackling complex challenges, formulating testable hypotheses, and conducting research that drives meaningful business outcomes.You are committed to continuous learning and innovation, with a desire to challenge conventional thinking.You have strong capabilities in mathematical and statistical modeling.You excel in communicating your findings to both technical and non-technical stakeholders.

Join Aircall, the leading integrated customer communications and intelligence platform that empowers growing businesses worldwide. With a trusted network of over 20,000 companies, Aircall seamlessly integrates voice and digital channels into one powerful platform, featuring one-click connections with top CRMs and over 100 essential business tools. Our AI-driven insights and automation capabilities enable sales and support teams to optimize their time, discover new opportunities, and deliver outstanding customer experiences. With a diverse global team of over 600 in cities such as Paris, New York, San Francisco, and more, Aircall is revolutionizing the way businesses engage with their customers, fostering deeper relationships and driving measurable success.Our Work Culture: At Aircall, we prioritize customer satisfaction, continuous learning, and extraordinary results. We encourage open collaboration, ownership, and swift, informed decision-making. If you thrive in a dynamic, team-oriented environment where curiosity, trust, and impact are key, you will fit right in.About Our TeamThe Data team at Aircall is integral to our decision-making process, driving innovation and growth through advanced data solutions, tools, and actionable insights.Role OverviewAs a Senior Data Scientist, you will play a crucial role in providing insights to our product and business teams, collaborating closely with product and engineering leaders. You will support key initiatives such as pricing strategies, packaging, multi-product approaches, and self-service solutions. Additionally, you will work cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data requirements into impactful solutions. Your contributions will also include establishing best practices in analytics and mentoring team members to uphold high standards in data governance and insight generation.

Join Grindr as a Staff Data Scientist in a hybrid role based out of our San Francisco, Los Angeles, or Chicago offices, requiring in-office presence on Tuesdays and Thursdays.Why This Role is Unique?Grindr (NYSE: GRND) is the world’s largest LGBTQ+ social application, boasting over 14 million monthly users globally. We are not just a platform but a vital part of the LGBTQ+ community and a cornerstone of gay culture.As a Staff Data Scientist, you will collaborate closely with product managers, designers, and engineers to create insightful metrics that drive product development. You will design and implement innovative experiments, present data-driven insights for decision-making, and explore new growth strategies through comprehensive analysis. This role allows you to work on deployed models that enhance the user experience for millions, while becoming an informal ambassador for the Data Science team, educating others on effective data utilization.You will be part of a dynamic data organization at Grindr that integrates data scientists, data engineers, and ML/AI engineers into a united and collaborative team. This is a unique opportunity to learn, share knowledge, and make a significant impact alongside industry leaders.Your ResponsibilitiesExtract actionable insights from complex, open-ended queries.Design and assess experiments to evaluate the impact of product changes.Analyze product data to identify root causes behind metric fluctuations.Effectively communicate findings to cross-functional stakeholders to inform product strategies.Develop tools to scale and automate analyses, enhancing company productivity.Mentor and guide team members, recommending best practices.Apply an engineering mindset to reduce complexity while maximizing utility and maintainability.Contribute to the development of future ML solutions to enhance recommendations, detect spam, and better serve our users.

Sciforium is an innovative AI infrastructure company specializing in the development of state-of-the-art multimodal AI models, alongside a proprietary high-efficiency serving platform. With substantial financial backing and direct collaboration with AMD, including hands-on support from AMD engineers, our rapidly growing team is dedicated to building the comprehensive stack that powers cutting-edge AI models and real-time applications.Role OverviewWe are on the lookout for a highly skilled and visionary Data Scientist to spearhead the strategy and creation of vast datasets essential for our foundational models. In the realm of Large Language Models (LLMs), we recognize that data is the key competitive advantage. This role will encompass the entire data lifecycle—from extensive web-scale crawling to the meticulous creation of human-aligned datasets that dictate model behavior.The ideal candidate will embrace data as both a large-scale engineering challenge and a complex analytical puzzle. Your responsibilities will extend beyond simply delivering data; you will design taxonomies, filtering heuristics, and post-training pipelines to ensure our models excel in reasoning, safety, and multimodal comprehension.Key ResponsibilitiesFoundation Dataset Strategy: Oversee the comprehensive creation of pre-training datasets for LLMs, defining the optimal mix of web data, code, literature, and technical documents to enhance downstream model performance.Petabyte-Scale Curation: Innovate and implement advanced pipelines for data cleaning, deduplication (exact and fuzzy), and high-quality signal extraction from vast amounts of unstructured data.Post-Training & Alignment Data: Direct the creation of high-quality post-training datasets, including Supervised Fine-Tuning (SFT) instructions, multi-turn dialogues, and preference modeling data (RLHF/DPO).Multimodal Expansion: Lead the acquisition and processing of vision and video data, addressing the challenges of multimodal alignment, video compression, and temporal data consistency.High-Performance Engineering: Create high-throughput data processing scripts utilizing Python, employing multiprocessing and multithreading to manage large-scale ingestion and transformation without performance bottlenecks.Data Profiling & Analysis: Perform in-depth statistical analysis on training datasets to uncover biases, knowledge gaps, and quality regressions, ensuring a mathematically balanced model diet.Synthetic Data Generation: (Added Value) Develop pipelines to generate high-quality synthetic datasets that enhance model training and capabilities.

About AirwallexAirwallex stands as the premier unified payments and financial platform tailored for global enterprises. Our unique blend of proprietary infrastructure and advanced software empowers over 200,000 businesses across the globe, including notable names such as Brex, Rippling, Navan, Qantas, and SHEIN. We offer fully integrated solutions for managing everything from business accounts and payments to spend management, treasury services, and embedded finance on a global scale.Founded in Melbourne with a dynamic workforce of over 2,000 innovative professionals across 26 global offices, Airwallex is valued at $8 billion. We are backed by leading investors such as T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, positioning us at the forefront of creating the future of global payments and financial services. If you are ready to embark on the most ambitious journey of your career, we invite you to join us.Attributes We ValueWe seek builders with an entrepreneurial spirit who aspire for real impact, accelerated growth, and genuine ownership. You bring deep expertise and analytical thinking, driven by our mission and operating principles. You thrive in a fast-paced environment, demonstrating curiosity and making decisions based on foundational principles while balancing speed with thoroughness.With a humble and collaborative approach, you transform innovative ideas into tangible products and ensure projects are completed from start to finish. Leveraging AI, you work efficiently and solve problems quickly. Here, you will tackle complex, high-impact challenges alongside exceptional teammates and advance your career as we redefine the future of global banking. If this resonates with you, let's innovate together.Growth Data Science TeamThe Growth Data Science team is at the heart of Airwallex’s growth strategy, leveraging data and AI to create a sustainable competitive edge. We design and implement advanced solutions encompassing predictive modeling, personalization, LLM-powered systems, incentive optimization, and causal inference to drive significant growth throughout the customer journey.Discover more about our data science team in this blog.The RoleWe are on the lookout for a Senior Data Scientist to collaborate closely with our Growth and Marketing teams. Your role will involve designing, deploying, and refining impactful data science initiatives that drive our growth objectives.

At Perplexity, we embody the future of AI, bringing transformative solutions to people who demand more. Our data team is at the forefront of this revolution, strategically integrating AI into every facet of our operations.We seek a passionate individual with a strong background as a data scientist, analytics engineer, or data engineer. You understand the significance of key metrics, can expertly design A/B tests that address core questions, dive deep into data models to solve discrepancies, and are eager to take on the challenge of building AI systems that will revolutionize the data science landscape.This is not just another text-to-SQL bot or a simple dashboard. You will create AI agents capable of conducting comprehensive analyses autonomously, from hypothesis formation and query execution to result interpretation and actionable recommendations. Your work will ensure that our entire data warehouse is accessible to AI systems, enabling precise queries across the board. You will develop self-healing data pipelines that proactively identify and resolve issues before they disrupt workflows. In doing so, you will empower our small data team to operate with the efficiency and output of a much larger organization.Join a forward-thinking data team that is already leveraging AI to enhance its processes, with full support from leadership to expand these efforts. Together, we will build a world-class team focused on creating scalable systems, innovative tools, and an AI-centric working environment that not only elevates our standards but also drives the entire industry forward.

At Databricks, our passion lies in empowering data teams to tackle some of the most challenging problems globally, from detecting security threats to advancing cancer drug development. We achieve this by creating and operating the world's premier Data Intelligence Platform, enabling our customers to concentrate on high-value challenges central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has evolved from a small office in Berkeley, California, into a global powerhouse with over 1000 employees. We are trusted by thousands of organizations—from small startups to Fortune 100 companies—with their mission-critical workloads, establishing us as one of the fastest-growing SaaS companies worldwide. Our engineering teams are dedicated to developing highly technical products that address real-world needs. We continuously push the limits of data and AI technology while maintaining the resilience, security, and scalability crucial for our customers' success on our platform. Operating one of the largest-scale software platforms, our infrastructure comprises millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we routinely encounter cloud hardware, network, and operating system faults, and our software is designed to shield our customers from such issues effectively. As a Data Scientist on the Data Team, you will play a pivotal role in fostering a data-driven culture within Databricks by addressing product and business challenges. The Data Team serves as an internal, production 'customer' that utilizes Databricks and influences the future trajectory of our products. Your Impact: Steer the direction of key data science initiatives including segmentation, recommendation systems, forecasting, product analytics, churn prediction, and insights. Collaborate closely with Engineering, Product Management, Sales, and Customer Success to discern product usage patterns and trends, facilitating data-driven decisions, recommendations, and forecasts. Manage stakeholder expectations in your focus area—gather evolving requirements, define project OKRs and milestones, and effectively communicate progress and results to non-technical audiences. Mentor and support junior data scientists within the team, assisting with project planning, technical decisions, and conducting code and documentation reviews. Advocate for the data science discipline across the organization, amplifying our commitment to becoming more data-driven. Develop self-service internal data products to simplify data access within the company. Represent Databricks at academic and industry conferences and events.