Lead Data Scientist at Hilbert | San Francisco

Join Hilbert, a pioneering data science-first growth engine that empowers B2C teams with predictive insights into user behavior, revenue drivers, and strategies for sustainable growth. Our innovative platform transforms lengthy decision cycles into actionable insights within minutes.From Fortune 10 corporations to cherished brands such as FreshDirect, Blank Street, and Levain Bakery, teams leverage Hilbert for their growth strategies. We're also collaborating with leading AI organizations to push the boundaries of data science.We are in search of a Lead Data Scientist who possesses a systems thinking approach, deeply understands B2C business challenges, and is capable of developing the models and analyses that drive tangible growth outcomes for major consumer companies — all with the passion and urgency akin to that of a founder.This role transcends the traditional boundaries of data science; you will oversee the entire data science function — from defining problems to model development and measuring business impact — all while working with enterprise clients where feedback loops are rapid and outcomes are critical. If you can articulate the significance of a recommender system to a retailer's profit and loss statement, design adaptable machine learning solutions for various customers, and communicate causal impacts clearly to executives, we want to connect with you.THE ROLEYou will collaborate closely with the founding team, as well as the engineering, product, and go-to-market teams to define, develop, and enhance the data science systems central to Hilbert's operations. Expect to be hands-on daily — building models, conducting analyses, and exploring data — while also establishing scientific direction, ensuring rigor, and expanding the team. Our focus is exclusively on B2C; the challenges we tackle — demand forecasting, customer lifecycle management, personalization, and activation — necessitate a deep understanding of these domains and the ability to translate business context into model architecture decisions. You will thrive in an environment characterized by high autonomy and ambiguity, where data can often be incomplete, messy, or limited.What you'll do:Build — hands-on, every dayDesign and construct machine learning models that drive essential product functionalities: recommendation engines, search relevance, customer segmentation, demand forecasting, and activation strategies.Create configurable, multi-tenant model architectures that can adjust to varying customer contexts, data availability, and business needs without the necessity for complete redevelopment.Develop effective models using available data — focusing on extracting insights from limited, noisy, or sparse datasets.

Join Hilbert, a pioneering growth engine that leverages data science to provide B2C teams with predictive insights into user behavior, key revenue drivers, and strategies for sustainable growth. Designed for agility, Hilbert condenses lengthy decision-making processes into mere minutes.Trusted by Fortune 10 enterprises and beloved brands such as FreshDirect, Blank Street, and Levain Bakery, our platform is the backbone of their growth strategies. We are also collaborating with leading AI companies to co-create innovative solutions.We are in search of a Lead AI Engineer who is ready to take charge of the technical direction of Hilbert's AI infrastructure, engage in hands-on development of production-grade systems, and enhance our expanding engineering team with a founder's mindset of ownership and urgency.This position is not about managing from afar; you will be actively coding, making architectural decisions, establishing high standards for quality and speed, and cultivating our engineering culture as we grow. You will be the go-to person for navigating ambiguous challenges, high-stakes situations, and uncharted paths. If you possess a deep technical expertise coupled with strong leadership and communication skills, we would love to connect with you.THE ROLEYou will collaborate closely with the founding team and various departments, including product, data, and go-to-market teams to lead the design, development, and continuous improvement of the AI systems that power Hilbert. You will be deeply involved in coding daily while also defining how we approach development, prioritize tasks, and grow the engineering team. Our environment is characterized by high autonomy and ambiguity, which is inherent in building AI-driven products. Requirements may shift, methodologies can evolve, and the individual closest to the issue will often make the pivotal decisions. As the Lead, it is your responsibility to ensure the team is empowered to make those informed decisions effectively.Build: Hands-on, every dayDesign, build, and maintain AI-powered features and pipelines tailored for enterprise customers at scale.Architect and implement agent-based workflows utilizing frameworks such as LangChain or LangGraph.Take ownership of critical systems from experimentation to production deployment and monitoring.Develop and refine evaluation pipelines to assess, validate, and iterate on AI system performance.Make pragmatic engineering decisions in the face of uncertainty; ship, learn, and iterate.Lead: Set direction and elevate standardsDefine and own the technical roadmap for the AI stack in collaboration with the founding team.Make architectural and infrastructural decisions that drive our AI initiatives forward.

Join Hilbert, a pioneering data science-driven growth engine that empowers B2C teams with insightful predictive analytics on user behavior, revenue drivers, and sustainable growth strategies. Our platform is designed to transform lengthy decision-making processes into swift, actionable insights.From Fortune 10 enterprises to cherished brands like FreshDirect, Blank Street, and Levain Bakery, industry leaders rely on Hilbert for their growth initiatives. We are also collaborating with top-tier AI companies to further enhance our offerings.We are in search of an AI Engineer who possesses the ability to develop robust AI systems from conception to deployment, embodying the agility and ownership characteristic of a startup culture.This role goes beyond mere model fine-tuning; you will take charge of critical components of the AI infrastructure that drive Hilbert's demand intelligence platform, rapidly deliver solutions in a dynamic environment, and articulate your work and its significance to the broader team. If you excel in writing clean Python code, think systemically, and are eager to create AI products that yield tangible business results, we would love to connect with you.THE ROLEYou will collaborate closely with the founding team, as well as product, data, and go-to-market teams, to design, develop, and enhance the AI systems central to Hilbert's operations. Expect a high-autonomy, high-ambiguity environment where the requirements are fluid, approaches adapt, and those closest to the challenges lead the way.What you'll do:Design, build, and maintain AI-driven features and pipelines that cater to enterprise clients at scale.Architect and implement agent-based workflows utilizing LangChain, LangGraph, or similar orchestration frameworks.Oversee systems from experimentation through production deployment and ongoing monitoring.Develop and optimize evaluation pipelines to assess, validate, and enhance AI system performance.Engage closely with the founding team and cross-functional collaborators, clearly communicating trade-offs, progress, and technical decisions.Make pragmatic engineering choices amidst uncertainty — ship, learn, and iterate.Influence the technical trajectory of the AI stack as the company expands.WHO THRIVES IN THIS ROLEWe value your thought process and execution over the number of years on your resume.The profile:You are a proficient Python engineer. Your code is clean, testable, and ready for production.

Join Hilbert, a pioneering data science-first engine designed to empower B2C teams with predictive insights into user behaviors, revenue drivers, and sustainable growth strategies. Our unique approach transforms lengthy decision-making processes into efficient, minute-long analyses.Trusted by Fortune 10 enterprises and cherished brands like FreshDirect, Blank Street, and Levain Bakery, Hilbert is at the forefront of growth strategies. We also collaborate with leading AI firms to co-create innovative solutions.We are seeking a dynamic Forward Deployed Data Engineer to connect our clients' intricate data environments with Hilbert's AI Growth Engine. This is not your typical role; you will be the mastermind architecting the integration bridges. You will manage the entire integration lifecycle, from the initial technical discovery discussions with mid-market retailers to deploying tailored solutions within large enterprise infrastructures.Your responsibility includes engaging with clients, mapping their distinctive data structures to our standard models, ensuring that our AI/ML models have a precise and high-quality understanding of their business landscapes.

Join Hilbert, a pioneering growth engine driven by data science that empowers B2C teams with predictive insights into user behavior and revenue generation. Our innovative approach reduces decision-making cycles from months to mere minutes.From collaborating with Fortune 10 enterprises to supporting beloved brands such as FreshDirect, Blank Street, and Levain Bakery, our platform is the backbone of their growth strategies. In addition, we are co-creating solutions with leading AI companies.We are on the lookout for ambitious, early-career sellers and innovators to become GTM Launchers at Hilbert AI — the trailblazers who explore new markets and convert opportunities into revenue.Here's the plan: you will begin your journey in San Francisco, the heart of AI innovation, where you will spend approximately three months in intensive discovery with the founding team. Following this, you will venture internationally to launch and spearhead a market. If you are eager to create something impactful from the ground up in a new country with real responsibility and stakes, this is the role for you.THE ROLEPhase 1 — Discovery in San Francisco (~3 months) Dive deep into our product, AI stack, and the intricacies of enterprise deal-making at Hilbert. Work closely with the founding team to understand our buyers and value proposition, build your pipeline, and close your first deals with guidance from seasoned leaders. By the end of this phase, you will possess a comprehensive understanding of our strategy, equipping you to replicate it in a new market.Phase 2 — International market launch (6-12 months) Roll out into an international market and take complete ownership: from pipeline generation and securing initial enterprise deals to forging local partnerships and gathering market intelligence. You will embody Hilbert in that market, reporting directly to the founding team. Your mission is to validate the market, establish a solid foundation, and set the stage for future growth.What you'll do:Create and manage an enterprise pipeline from the ground up — no inbound leads or BDR supportSecure strategic accounts in your designated market with assistance from the founding teamAnalyze the competitive landscape, buyer personas, and unique dynamics of your marketCultivate relationships with enterprise decision-makers and strategic partners locallyProvide market feedback to HQ — identify what works, what varies, and where the opportunities lieEstablish a foundation for a sustainable regional presence.WHO THRIVES IN THIS ROLEYou don’t need a decade of enterprise sales experience. You need to be tenacious, creative, and eager to build.

Join Hilberts as a Machine Learning Engineer / Data Scientist in our San Francisco office, where you will leverage cutting-edge technology to drive enterprise-level solutions. You will work collaboratively with cross-functional teams to design, develop, and implement machine learning models that enhance our data-driven decision-making processes.

Role Overview hilberts is hiring a GTM Engineer / RevOps Lead in San Francisco. This role focuses on improving go-to-market strategies and revenue operations. The position works closely with teams across the company to refine processes and increase efficiency, supporting hilberts' growth goals. What You Will Do Collaborate with colleagues from different departments to streamline workflows Identify and implement process improvements that support revenue operations Apply technical skills and strategic thinking to help shape how hilberts operates Support company objectives by driving operational efficiency Location This position is based in San Francisco.

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 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.

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 Hilbert, a pioneering data science-driven growth engine that empowers B2C teams with predictive insights into user behaviors, revenue drivers, and sustainable growth strategies. Our innovative approach compresses lengthy decision-making processes into mere minutes.Trusted by Fortune 10 enterprises and beloved brands like FreshDirect, Blank Street, and Levain Bakery, Hilbert is the backbone of their growth strategies. We are also collaborating with leading AI companies to push the boundaries of what’s possible.We are seeking a talented Data Scientist who possesses a deep understanding of B2C business challenges, develops actionable models using real-world data, and delivers impactful analyses that facilitate significant growth outcomes — all with the initiative and urgency typical of a founder.This is not a role where you simply receive tasks; you will take ownership of problems from start to finish — from problem framing and modeling to measuring impact — for enterprise clients where the stakes are high and feedback is rapid. If you understand the nuances of churn analysis for different sectors, can create effective recommendation systems from sparse data, and can clearly communicate your causal analysis to clients, we want to meet you.ROLE OVERVIEWYou will closely collaborate with the founding team, engineering, product, and go-to-market teams to enhance the data science systems integral to Hilbert. Daily responsibilities include building models, conducting experiments, analyzing data, and producing analyses that influence key decisions. Our focus is B2C, and the challenges we tackle — such as demand forecasting, customer lifecycle management, personalization, and activation — require an individual who can translate business contexts into effective modeling choices. You will thrive in a high-autonomy, high-ambiguity environment where data is often messy, incomplete, or scarce.Key Responsibilities:Develop ML models that enhance core product features: recommendation systems, search relevance, customer segmentation, demand forecasting, and activation optimization.Contribute to configurable, multi-tenant model architectures that adapt to various customer contexts and business needs, avoiding the need for custom solutions for each case.Build effective models using available data — leveraging limited, noisy, or sparse datasets while determining the appropriate level of complexity.Design and implement rigorous A/B tests and recognize when causal inference methods are necessary.

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.