Data Scientist at Mixpanel | San Francisco

ABOUT MITHRLAt Mithrl, we envision a future where groundbreaking medicines are delivered to patients within months rather than years, and scientific discoveries unfold at an extraordinary pace.We are pioneering the first commercially available AI Co-Scientist, a revolutionary discovery engine that converts chaotic biological data into actionable insights in mere minutes. Scientists can pose questions in natural language, and Mithrl provides comprehensive analyses, identifies novel targets, formulates hypotheses, and generates patent-ready reports.Our remarkable growth:Achieved 12X revenue growth year-over-yearTrusted by leading biotech firms and major pharmaceutical companies across three continentsFacilitating significant breakthroughs from target discovery to improved patient outcomes.ROLE OVERVIEWWe are seeking a Data Engineer specializing in Knowledge Graphs to develop the foundational infrastructure for Mithrl’s biological knowledge layer. You will collaborate closely with the Data Scientist focused on Knowledge Graphs to convert curated knowledge sources into scalable, dependable, and production-ready systems that support our entire platform.Your responsibilities will include constructing ETL pipelines for extensive biological datasets, designing schemas and storage models for graph-structured data, and developing APIs that enable ML engineers and application teams to efficiently query and utilize the knowledge graph. Additionally, you will be responsible for ensuring the reliability, performance, and versioning of the knowledge graph infrastructure across releases.This position serves as a vital link between biological knowledge ingestion and the high-performance engineering systems that apply it. If you are passionate about data modeling, schema design, graph storage, ETL processes, and scalable infrastructures, this role offers a unique opportunity to significantly influence the intelligence layer at Mithrl.KEY RESPONSIBILITIESDevelop and maintain ETL pipelines for large-scale public biological datasets and curated knowledge sourcesDesign, implement, and refine schemas and storage models for graph-structured biological dataCreate effective APIs and query interfaces that enable internal teams and AI systems to access nodes, relationships, pathways, annotations, and perform graph analyticsCollaborate with Data Scientists to operationalize curated relationships, harmonized variable IDs, metadata standards, and ontologies.

ABOUT MITHRLAt Mithrl, we envision a future where innovative medicines are delivered to patients in mere months, not years, and where scientific discoveries unfold at the speed of thought.Mithrl is pioneering the world’s first commercially available AI Co-Scientist, a groundbreaking discovery engine that converts complex biological data into actionable insights within minutes. Scientists interact using natural language, and Mithrl provides real analysis, innovative targets, hypotheses, and patent-ready reports.Our impressive track record includes:12X year-over-year revenue growthEndorsed by leading biotech firms and major pharmaceutical companies across three continentsFacilitating significant breakthroughs from target discovery to patient outcomes.ABOUT THE ROLEWe are seeking a Data Scientist specializing in Knowledge Graphs to develop and enhance the biological knowledge layer that supports the Mithrl AI Co-Scientist. Your primary focus will be to aggregate and harmonize the most critical biological data sources globally, curating the relationships that enable our system to reason across various pathways, targets, diseases, compounds, and multimodal datasets.You will be responsible for gathering data from public consortia and well-maintained peer-reviewed sources to create a coherent, versioned knowledge graph. This includes identifying new node types, defining relationship schemas, harmonizing variable IDs, and ensuring metadata consistency across all integrated sources. Additionally, you will build automated curation pipelines that enrich and refine the knowledge graph through both data-driven approaches and domain knowledge.Beyond data ingestion and curation, you will develop tools and frameworks that empower users to interact with the knowledge graph and create their custom graphs based on the insights generated within Mithrl. Your contributions will lay the groundwork for pathway reasoning, target scoring, evidence aggregation, and multimodal interpretation within the AI Co-Scientist.WHAT YOU WILL DOAggregate, harmonize, and version high-value public biological datasets such as CellxGene, Gemma, ARCHS4, ENCODE, GTEx, TCGA, etc.Ingest well-maintained peer-reviewed knowledge bases such as OpenTargets, HPA, and similar resources.Create automated pipelines to curate and broaden relationships within the knowledge graph.Define and evolve relationship schemas, ensuring accuracy and consistency throughout.

About MithrlAt Mithrl, we envision a future where groundbreaking medicines reach patients within months, not years, and where scientific advancements occur at the speed of thought.We are proud to be pioneering the world’s first commercially available AI Co-Scientist, an innovative discovery engine that swiftly converts complex biological data into actionable insights. With Mithrl, scientists can pose questions in natural language and receive comprehensive analyses, innovative targets, hypotheses, and patent-ready reports in mere minutes.Our growth trajectory is impressive:12X year-over-year revenue growthTrusted by top biotech firms and major pharmaceutical companies across three continentsFacilitating significant breakthroughs from target discovery to improved patient outcomes.About the RoleWe are seeking dynamic Forward Deployed Engineers who will collaborate closely with our clients to successfully deploy, integrate, and operationalize the Mithrl platform within their private cloud environments. As an FDE, you will be positioned at the crossroads of engineering, customer success, and solutions architecture. Your role involves hands-on collaboration with customer IT, security, data, and R&D teams to establish secure cloud environments, configure integrations, troubleshoot technical issues, and ensure that Mithrl seamlessly integrates into their discovery workflow.This position requires a solid foundation in software engineering, a strong familiarity with cloud infrastructure, and exceptional problem-solving capabilities. You will work intimately with customer teams to design deployment architectures, automate provisioning processes, validate platform functionality, and ensure that scientific teams can leverage Mithrl effortlessly.If you thrive on tackling challenging and innovative problems in real-world customer settings, enjoy working across cloud infrastructure and product engineering, and want to be involved in the customer journey from the outset, this role is the perfect fit for you.

ABOUT MITHRLWe envision a future where new medicines are accessible to patients within months rather than years, and where scientific innovations occur at lightning speed.Mithrl is pioneering the first commercially available AI Co-Scientist, a revolutionary discovery engine that transforms complex biological data into actionable insights in mere minutes. By utilizing natural language queries, scientists can receive real analysis, innovative targets, hypotheses, and patent-ready reports instantly.Our impressive growth trajectory:12X year-over-year revenue expansionTrusted by top-tier biotechs and major pharmaceutical companies across three continentsFacilitating tangible breakthroughs from target discovery to real patient outcomes.ABOUT THE ROLEWe are seeking a Senior Full Stack Engineer to architect, scale, and enhance the core Mithrl product. This pivotal role demands a product-centric mindset, granting you substantial ownership across frontend, backend, and system architecture. You will collaborate with product, design, machine learning, and scientific teams to translate intricate scientific workflows into user-friendly, high-performance software utilized by leading researchers daily.As a senior engineer, your responsibilities will extend beyond just execution; you will also shape technical direction, architectural choices, and establish engineering standards. You will oversee features from initial concept through to production, iteration, and scaling. This position requires robust full-stack engineering principles, a passion for shipping products, and the ability to thrive in dynamic, fast-paced environments.If you have a passion for creating impactful products for sophisticated users, delving deep into system design and user experience, and taking ownership of essential components in a rapidly expanding platform, this opportunity is perfect for you.

About MithrlAt Mithrl, we are revolutionizing the pace of scientific discovery. Our vision is to enable novel drugs and therapies to reach patients in mere months rather than years.We have developed the world’s first commercially available AI Co-Scientist, a groundbreaking discovery engine that swiftly converts complex biological data into actionable insights in just minutes. Scientists can pose questions in natural language and receive thorough analyses, innovative targets, and patent-ready reports—all without needing coding skills and eliminating bioinformatics bottlenecks.Our impressive traction includes:12X year-over-year revenue growthEndorsed by leading biotech firms and major pharmaceutical companies across three continentsFacilitating significant breakthroughs from target discovery to patient outcomesWhy This Role MattersAs a Business Development Representative (BDR), you will play a vital role in our rapidly expanding pipeline and deal velocity within the biotech sector. This is not just theoretical; we are witnessing real momentum with top-tier biopharma companies.Your mission will be to initiate discussions with prominent scientists and decision-makers, uncover essential pain points, and pave the way for breakthroughs that can lead to life-saving therapies.Join us at this exciting stage, grow rapidly, and make a substantial impact on the landscape of scientific discovery.What You'll DoCore Responsibilities:Identify and engage high-potential biotech and pharma companies, including Series A+ biotechs, mid-cap pharma, and academic research institutions.Design and execute compelling outbound campaigns aimed at scientists, bioinformaticians, and R&D leaders.Qualify incoming leads and arrange meetings for our sales and science teams.Collaborate with founders and commercial leadership to optimize messaging and drive market expansion.Growth & Learning:Gain expertise in genomics, RNA-seq analysis, and the application of AI in drug discovery.Document customer insights to influence product development and marketing strategies.Contribute to building and scaling our go-to-market engine from the ground up.

Business Development Representative - AI Co-Scientist PlatformIdeal Opportunity for Recent Graduates with a Background in Biology or Related SciencesAbout MithrlAt Mithrl, we’re on a mission to revolutionize the pace of scientific innovation. Our goal is to ensure that groundbreaking drugs and therapies reach patients in mere months instead of years.We have developed the world’s first commercially available AI Co-Scientist, an innovative discovery engine that converts complex biological data into actionable insights within minutes. Scientists can pose questions in natural language and receive real analyses, groundbreaking targets, and ready-to-file patent reports—no coding or bioinformatics expertise required.Our achievements speak volumes:12X year-over-year revenue growthTrusted by top biotech firms and major pharmaceutical companies across three continentsContributing to significant breakthroughs from target discovery to patient outcomesWhy This Position is Ideal for New Graduates in ScienceThis is an excellent opportunity to connect cutting-edge science with tangible real-world applications. You will leverage your scientific education to engage with leading researchers while developing crucial business skills to propel your career.As a member of our Business Development team, you will experience rapid pipeline growth and deal velocity in the biotech sector. This role provides unparalleled exposure to the operational dynamics of biotech companies, from burgeoning startups to established Big Pharma R&D teams.You will initiate dialogues with esteemed scientists, identifying crucial challenges in drug discovery and paving the way for breakthroughs that could lead to life-saving therapies.Your Responsibilities Include:Researching and pinpointing high-potential biotech and pharmaceutical companies (Series A+ biotechs, mid-cap pharma, academic research institutions)Creating engaging outbound campaigns targeting scientists, bioinformaticians, and R&D leaders—utilizing your scientific knowledge to communicate effectivelyQualifying inbound leads and organizing meetings for our sales and scientific teamsCollaborating with founders and commercial leadership to refine messaging and expand market reach

Join Us in Building a Safer World.At TRM Labs, we are dedicated to providing cutting-edge blockchain analytics and AI solutions that empower law enforcement, national security agencies, financial institutions, and cryptocurrency businesses in the fight against crypto-related fraud and financial crime. Our advanced platforms enable clients to trace the origins and destinations of funds, identify illicit activities, build robust cases, and gain a comprehensive view of potential threats. Trusted by leading agencies and businesses globally, TRM is committed to fostering a safer and more secure world for everyone.We are currently seeking a Full Stack Data Scientist to join our dynamic Knowledge Layer team. This innovative group specializes in extracting, structuring, and analyzing knowledge from vast, unstructured datasets. Positioned at the crossroads of knowledge graphs, entity resolution, graph extraction, and graph analytics, this team plays a pivotal role in enhancing TRM’s core intelligence products.While our team boasts strong backend and graph engineering expertise, we are in search of a candidate who can serve as the voice of machine learning and data science within the team. This individual will bring practical expertise in knowledge extraction and graph-based machine learning to help accelerate and scale our capabilities. This role is perfect for someone who thrives in an end-to-end operational environment, managing everything from model selection and experimentation to the productionization of ML systems and APIs.Your Impact:Design, build, and productionize machine learning models centered on:Knowledge extraction from unstructured data (e.g., Named Entity Recognition, entity linking)Graph-based learning and inferenceEntity resolution and relationship discoveryEvaluate and utilize existing ML models and frameworks to effectively tackle real-world challengesCollaborate closely with backend and graph engineers to integrate ML models into production services and APIsContribute to the design and development of knowledge graphs and ontologiesConduct exploratory data analysis (EDA) to inform modeling decisions and system architectureOversee ML components from inception to deployment, including experimentation, evaluation, and iterative improvementsHelp establish best practices for applied ML within the Knowledge Layer teamQualifications:Proven experience in machine learning, particularly in knowledge extraction and graph-based methodsStrong programming skills in Python or similar languagesFamiliarity with ML frameworks and libraries (e.g., TensorFlow, PyTorch)Experience with data manipulation and analysis tools (e.g., Pandas, NumPy)Excellent communication skills and ability to collaborate effectively with cross-functional teams

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.

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.

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 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.