Join our dynamic team at Jobs for Humanity as a Machine Learning Data Scientist, where you will harness the power of data to drive innovative solutions for underserved communities. Your expertise will play a crucial role in developing algorithms and models that enhance accessibility and improve lives.As a key member of our team, you will collaborate with cross-functional teams to identify opportunities for leveraging data to create impactful products. If you are passionate about using your data science skills for a greater good, we want to hear from you!

Role Overview:Join grvty as a Senior Data Scientist where you will play a pivotal role in enhancing our Natural Language Processing (NLP) projects. Your primary focus will be on the accurate and automated tokenization of language data sourced from both spoken and written formats. You will be responsible for developing and implementing automated solutions for annotating language data with parts of speech information. In this capacity, you will assess and improve existing models by evaluating their performance compared to human-generated annotations for both speech and text. Your expertise will be essential in pushing the boundaries of our NLP capabilities and ensuring superior quality in language processing.

About the Role Robinhood Markets, Inc. is hiring a Senior Data Scientist focused on Machine Learning for the Brokerage team. This role is based in Menlo Park, CA or New York, NY. What You Will Do Apply advanced data analysis and machine learning techniques to strengthen the trading platform. Work closely with colleagues across product, engineering, and operations to develop data-driven tools and features. Identify patterns and generate insights that support a better user experience and greater operational efficiency. Collaboration This position partners with cross-functional teams to design and implement solutions that address real needs within the Brokerage division.

Join Addepto, a premier AI consulting and data engineering firm, as a Data Scientist / Machine Learning Engineer. We specialize in crafting scalable, ROI-driven AI solutions for globally recognized enterprises and forward-thinking startups, including industry leaders like Rolls Royce, Continental, Porsche, ABB, and WGU. Our mission is to empower organizations to harness the transformative power of their data through systems designed for tangible business outcomes and sustainable growth.At Addepto, our impact goes beyond client projects. Leveraging real-world insights, we have developed our proprietary product, ContextClue, and actively contribute to open-source initiatives within the AI community. Our dedication to translating hands-on experience into scalable innovation has garnered recognition from Forbes as one of the top 10 AI consulting firms worldwide.As a part of KMS Technology, a US-based global technology group, Addepto uniquely combines deep AI expertise with enterprise-level delivery capabilities, enabling us to take clients from AI experimentation to impactful production securely and at scale.In this role, you will collaborate with a team of technology experts on innovative projects across diverse industries, utilizing state-of-the-art technologies. Some exciting projects you may contribute to include:AI Optimization Engine for Airport Operations: Develop an AI-driven optimization engine to enhance airport operations by leveraging real-time data from radar, air traffic, and passenger information.AI Recommendation Engine for Leading Innovation Firm: Build AWS-powered solutions that deliver domain-specific recommendations through sophisticated large language models.

About AvePoint:At AvePoint, we are pioneers in data security and governance, empowering organizations to achieve secure collaboration. With over 25,000 global customers leveraging our Confidence Platform, we ensure organizations can manage, protect, and optimize their vital data across platforms like Microsoft, Google, and Salesforce. Our extensive partner ecosystem includes approximately 5,000 managed service providers and integrators, with availability in over 100 cloud marketplaces. Discover more at www.avepoint.com.We are dedicated to fostering a culture of agility, passion, and teamwork, enabling our employees to shape their careers and make impactful contributions.

Join Zoox as a Senior Data Scientist specializing in Machine Learning for Perception. In this pivotal role, you will leverage your expertise to develop advanced machine learning algorithms that enhance perception systems. Your contributions will directly impact the design and functionality of autonomous vehicles, driving innovation in the field.

Join our dynamic team at Laurel as a Senior Machine Learning Data Scientist specializing in Analytics. In this pivotal role, you will leverage your expertise in machine learning and data analysis to drive innovative solutions that enhance our decision-making processes. You will collaborate with cross-functional teams to design and implement predictive models, analyze complex datasets, and translate insights into actionable strategies.Your contributions will be key in shaping the future of our analytics framework, enabling us to better serve our clients and stakeholders. If you’re passionate about data science and eager to make a significant impact, we want to hear from you!

Join us in shaping the future of finance.Our mission is to democratize finance for everyone. An estimated $124 trillion of assets will be transferred to younger generations in the next two decades, marking the largest wealth transfer in history. If you’re eager to be at the forefront of this monumental cultural and financial transition, we invite you to apply.About the Team and RoleWe are assembling a top-tier team, leveraging cutting-edge technologies to tackle the most significant financial challenges globally. We seek innovative thinkers, exceptional problem-solvers, and motivated builders ready to make a difference. Robinhood is not for the complacent; it’s a place where ambitious individuals achieve their career best. Our high-performing, dynamic team prioritizes ethics in all aspects of our work, where high expectations yield equally high rewards.The Incentives Data Science team operates at the crossroads of Product, Marketing, Finance, and Machine Learning. Our goal is to facilitate sustainable, data-driven growth by developing modeling, measurement, and optimization systems that enhance activation, retention, and revenue. We collaborate closely with various teams at Robinhood to design, assess, and implement incentive programs that effectively acquire, activate, and retain customers.As a Senior Data Scientist, Machine Learning, you will spearhead the comprehensive design, optimization, and advancement of Robinhood’s incentive systems. You’ll create predictive and causal ML models, establish experimentation frameworks, and build decision-making and allocation algorithms that directly shape how millions of users interact with Robinhood. This is a unique chance to influence impactful ML systems while defining incentive strategies at a company-wide level!This role is based in our Menlo Park, CA office, with a requirement for in-person attendance of at least 3 days per week.At Robinhood, we value in-person engagement to foster innovation, accelerate progress, and strengthen community. Our office environment is designed to be purposeful, invigorating, and fully supportive of high-performing teams.What You Will DoDevelop, implement, and refine predictive and causal models for incentive targeting.Design and assess experiments to quantify the incremental impact, payback, and ROI of promotional initiatives.Collaborate cross-functionally with Product, Finance, Marketing, and Engineering to provide insights for scalable solutions.

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.

About Nucs AINucs AI is at the forefront of transforming cancer treatment through advanced artificial intelligence and medical imaging technologies. Established in 2024 by a diverse team of oncologists, AI specialists, and healthcare pioneers, we address one of the greatest challenges in modern medicine: the increasing need for precise and timely cancer diagnostics amidst soaring scan volumes and constrained radiologist resources.Positioned at the crossroad of diagnostics and treatment planning, we develop AI-driven tools that integrate medical imaging, radioligand therapy, and artificial intelligence. Initially focusing on prostate cancer and expanding into other areas of oncology, we collaborate with top-tier medical institutions and pharmaceutical companies across the United States, Europe, and Australia to incorporate precision oncology into routine clinical practice.Our mission is to enhance diagnostic accuracy and broaden access to expert-level cancer care, ultimately improving patient outcomes globally. As a venture-backed startup in its early stages, we are building a team that combines extensive clinical knowledge with engineering excellence, moving with the urgency and precision that the medical field demands.The OpportunityWe are seeking a Machine Learning Scientist to elevate our machine learning research capabilities within clinical oncology. This senior, research-focused position is ideal for an individual eager to design innovative approaches for medical image analysis, predict treatment outcomes, and integrate multi-modal clinical data—translating these methods into practical clinical applications.In this role, you will collaborate closely with physicians, medical physicists, and seasoned engineers possessing deep domain expertise. Together, you will develop methods that are both scientifically robust and clinically relevant, directly influencing our product features and contributing to peer-reviewed scientific literature.What You’ll DoResearch & Method DevelopmentInnovate and refine ML/DL methodologies for medical image analysis, encompassing segmentation, lesion identification, longitudinal monitoring, treatment response forecasting, and outcome modeling.Design and execute experiments to assess new approaches against clinical benchmarks and cutting-edge methodologies.Stay abreast of the latest literature and propose research trajectories that advance Nucs AI’s offerings and scientific contributions.

Senior/Staff Machine Learning Data ScientistJoin us at Bayesian Health, where we are dedicated to transforming healthcare into a proactive industry. Our mission is to empower healthcare professionals—physicians, nurses, and care teams—with real-time data that can save lives. We are looking for a dynamic Senior/Staff Machine Learning Data Scientist who thrives in developing AI models from concept to deployment.About UsBayesian Health is a pioneering startup focused on enhancing patient outcomes by equipping clinicians with data-driven insights at the point-of-care. Our diverse team comprises clinicians, engineers, machine learning specialists, product designers, and performance leaders, all committed to advancing patient-specific care through data innovation. Backed by prestigious investors like Andreessen Horowitz and recognized by Forbes as one of the AI Top 50, we strive to enable smarter healthcare solutions.Discover how our recent publication in Nature Medicine correlates our products with lives saved.Your RoleAs a Senior/Staff Machine Learning Data Scientist, you will take ownership of end-to-end model development, ensuring the real-world applicability of your work. You will engage in hands-on coding, debugging patient cases, and optimizing prediction timeliness through production-ready Python and SQL.Key ResponsibilitiesModel Prototyping: Create and refine innovative machine learning models and labeling systems rooted in clinical use cases and the latest ML techniques.Productionization: Implement and optimize models using production-grade Python.Collaboration: Work cross-functionally with Clinical, Engineering, and Product teams to clarify and prioritize model specifications and features.

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 disco is hiring a Senior Machine Learning Scientist in Austin, TX. This role focuses on applying machine learning and data analysis skills to strengthen our products and uncover insights that matter. The position involves close collaboration with colleagues from different teams to develop algorithms and models that improve our offerings. What You Will Do Design and build machine learning models to support product enhancements Analyze data to identify trends and opportunities for improvement Work with cross-functional teams to integrate models into existing products Contribute expertise to shape the direction of new solutions

About UsAt Multi Media LLC, we are the driving force behind Chaturbate, a leading live streaming platform that attracts millions of viewers globally. Our mission is to empower independent content creators while delivering seamless, interactive video experiences that engage audiences in real-time. Our cutting-edge infrastructure is designed to handle complex broadcasting challenges, ensuring low-latency streaming and high user engagement at all times.We are dedicated to creating an environment where creators can freely express themselves and nurture their communities. Our team is committed to innovation, trust, and responsibility, playing a pivotal role in enhancing the experiences of millions around the world. We welcome individuals who are proactive, inquisitive, and passionate about creating quality, impactful solutions.The RoleWe are seeking a Senior Data Scientist to join our dynamic Artificial Intelligence and Machine Learning team. In this pivotal role, you will tackle complex business and product challenges that require advanced analytical skills and sound methodology. Your expertise will help transform open-ended questions into structured frameworks and actionable insights that guide decision-making across the organization.You will collaborate closely with Machine Learning Engineers, Product Managers, and various stakeholders to assess the impact of product enhancements and machine learning initiatives, enhance experimentation practices, and deepen our understanding of user behavior and business performance.This is an exciting opportunity for an individual with strong statistical and analytical capabilities, proficient in Python, and skilled at translating ambiguous inquiries into clear, well-supported recommendations.Your ResponsibilitiesConduct in-depth analyses that address critical business and product questions, utilizing robust statistical methods and analytical reasoning.Develop structured approaches to unclear problems by selecting appropriate methodologies, identifying necessary data, and providing actionable insights that inform strategic decisions.Evaluate the business implications of product modifications, recommendation systems, experiments, and other strategic projects, including ROI assessments and performance metrics.Work collaboratively with Product and Engineering teams to prioritize initiatives, influence decision-making processes, and effectively communicate findings.Provide mentorship to fellow analysts through technical guidance, collaborative efforts, and the sharing of best practices to elevate analytics quality across the team.

At Xometry (NASDAQ: XMTR), we are revolutionizing the manufacturing industry by connecting visionary thinkers with the manufacturers that can realize their ideas. Our digital marketplace equips manufacturers with essential resources for growth while enabling Fortune 1000 companies to leverage global manufacturing capabilities.We are searching for a Principal Data & ML Scientist to join our innovative Generative AI team. The perfect candidate will be enthusiastic about enhancing machine learning and generative AI technologies, especially in fine-tuning generative and language models, multimodal document comprehension, and structured data extraction. Your expertise in generative models and data science will be pivotal in developing and optimizing cutting-edge AI solutions that elevate Xometry's offerings.

About UsValo Health is a forward-thinking, AI-driven biotechnology firm dedicated to accelerating the development of innovative therapies for patients. Our flagship Opal Computational Platform revolutionizes the drug discovery process by integrating real-world data, artificial intelligence, human translational models, and predictive chemistry.Our exceptional team of biologists, chemists, and engineers harness cutting-edge AI/ML technologies to dismantle conventional R&D barriers, expediting the pace and scale of drug discovery and development.At Valo, we are passionate about attracting diverse talent, emphasizing growth and development, and fostering an inclusive atmosphere. We believe in embracing varied experiences and perspectives to advance patient-centric innovations.With our headquarters in Lexington, MA, and additional offices in New York, NY, and Tel Aviv, Israel, we invite you to explore more at www.valohealth.com.Position OverviewAs a Staff Data Scientist specializing in Graph Machine Learning, you will be at the forefront of developing and implementing advanced graph ML solutions. Your work will involve synthesizing insights from Valo's extensive data, grounded in a comprehensive understanding of medicine, molecular biology, human genetics, and pharmaceuticals. This role is pivotal in driving compute-enabled biological hypothesis generation, ultimately contributing to our mission of delivering improved therapies to patients at an accelerated pace.

Join Us as a Founding Data Scientist and Machine Learning EngineerAmplify Your ImpactYou have achieved remarkable milestones in your career—delivering impactful models, influencing key metrics, and showcasing the transformative potential of data science and machine learning. You have positively affected products that touch millions of lives.Now, envision the possibility of enhancing the entire app ecosystem by extending your influence across numerous products and companies, making every app in users’ pockets smarter, more engaging, and indispensable.Your expertise can empower product teams to innovate faster, captivate users, and drive revenue growth, thanks to the intelligence you develop once and deploy universally.We share this ambition; we have successfully achieved it multiple times at leading organizations like Uber, Apple, Meta, Google, and Chime. Our contributions have generated tens of billions of dollars in impacts for essential products relied on by billions, and we are poised to elevate our influence further.If this resonates with the journey you seek, we invite you to continue reading.Our MissionDashboards recount the past; teams require insights for their next move. Palladio AI serves as the intelligence layer between raw data and decisive action, illuminating product opportunities that translate into genuine growth levers and guiding actions so product teams can iterate with confidence and speed rather than wade through noise.Your RoleYou will be part of a team crafting foundational systems in behavioral modeling, causal inference, forecasting, agentic platforms, and beyond. Your contributions will extend these domains: developing ML and AI models to identify and highlight product opportunities, deploying learning loops that enhance with each release. In essence, you will convert fundamental data science principles into a scalable product across various industries.Beyond technical challenges, you will create a platform that aids real people in making informed decisions, transforming data into clarity and clarity into actionable progress.Your ProfilePassion for Craft and Excellence. You dive into complex datasets, prototype swiftly, and refine until insights shine.Impact-Driven Mindset. 6+ years of experience in production ML/DS; you harmonize scientific rigor with a practical approach—“it ships today, iteration follows.”

Employee Applicant Privacy Notice SoFi is a national bank and financial services company that creates mobile-first tools to help people manage their money and reach their financial goals. The team values direct impact and aims to make a positive difference for members. Role overview The Senior Marketing Data Scientist - Machine Learning joins the Marketing Data Science team in San Francisco, CA. This position supports SoFi’s Marketing organization through analytics, model building, experimentation, and performance measurement to help drive marketing and growth initiatives. Work centers on designing, building, and scaling machine learning models that improve customer acquisition, conversion, retention, and lifetime value across SoFi’s products. The role draws on behavioral, transactional, and credit data to create predictive models and actionable insights. Collaboration with cross-functional teams is key for identifying business needs, managing model development end-to-end, implementing models in production, and monitoring their ongoing performance. Regulatory compliance is a consistent focus. Main responsibilities Design, develop, and deploy machine learning models to optimize customer acquisition, onboarding, and engagement for products such as loans, credit cards, investments, and cryptocurrency. Build predictive models for outcomes including customer lifetime value, conversion rates, cross-sell and upsell effectiveness, and retention across channels like email, direct mail, in-app, and Operations. Work with structured and unstructured data, such as behavioral signals, transaction data, and credit attributes, to enable audience segmentation and large-scale personalization. Maintain a feature store to streamline model development. Set up A/B testing frameworks to evaluate marketing strategies and measure their impact.

Join our dynamic AI R&D team as an AI Scientist focused on Machine Learning. In this pivotal role, you will lead the development and implementation of advanced deep learning models to address real-world temporal modeling challenges in the manufacturing sector. We are in search of a candidate with extensive practical R&D experience, firmly rooted in robust theoretical principles and possessing deep expertise across various AI disciplines. The ideal candidate will exhibit a profound understanding of cutting-edge machine learning algorithms and techniques, alongside a proven record of contributions to top-tier conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, or ICCV. A solid foundation in computer science and engineering is essential. Familiarity with collaborating alongside software engineering teams to scale and commercialize ML solutions will be highly regarded. This high-impact role merges foundational research, system-level design, and hands-on implementation, allowing you to work closely with cross-functional teams to create innovative solutions that drive strategic decisions and deliver significant business value.