Data Scientist - Machine Learning Specialist

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.

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 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.

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!

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.”

At Sumble, we are pioneering the creation of a sophisticated knowledge graph derived from a wealth of web data, specifically tailored for go-to-market teams. Our innovative approach utilizes various data sources, including job postings and resumes, to uncover critical insights such as organizational structures, technology stacks, and significant projects, including Generative AI initiatives and cloud migrations. With a product that has already achieved strong market traction, early revenue, and a satisfied customer base, we are poised for rapid expansion.Our long-term goal is to establish ourselves as the premier provider of high-quality web data. Experience our product at sumble.com.Join Our Team: We are a dynamic team of 15, featuring 10 engineers with backgrounds from industry giants like Google, Meta, Stack Overflow, and Kaggle.Your Role: Fine-tuning small language models to enhance performance. Elevating the quality of our existing data through scalable methods, including ensuring accurate URL associations, verifying headquarters addresses, and mapping parent-subsidiary relationships using LLM validation and triangulating across various sources. Integrating new signals into our system, which involves scrubbing, matching, and normalizing data to align with our current ontology. Deploying solutions into production environments, which may require working with data pipelines and backend systems.

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.

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.

Cathexis partners with federal organizations to provide program management, data analytics, and audit expertise. The company emphasizes integrity, accountability, and meaningful work, aiming to deliver reliable results within a collaborative and ethical environment. Role overview This Data Scientist / Machine Learning Engineer position is based in Tysons, Virginia, and requires an active TS/SCI CI Poly clearance or higher. The role centers on building analytical tools alongside data scientists, software engineers, and subject matter experts. The goal: equip federal clients with insights that support informed decisions and advance digital transformation. What you will do Work with technical experts and subject matter specialists to identify and develop new analytical capabilities Deliver insights that help federal clients make better decisions Contribute to digital transformation projects using data science and machine learning approaches Requirements Active TS/SCI CI Poly clearance or higher Background in data science or machine learning engineering Ability to collaborate effectively within a multidisciplinary team Cathexis values active listening, empathy, and high ethical standards. The company supports growth, encourages ownership, and recognizes the unique strengths each team member brings to shared success.

About FaireFaire is a dynamic online wholesale marketplace dedicated to empowering local businesses. We believe in a future where independent retailers can thrive and compete against retail giants like Walmart and Amazon. By harnessing technology, data, and machine learning, we connect a vibrant community of entrepreneurs globally. Imagine helping your favorite local boutique source outstanding products from around the world to enhance their offerings. Our mission is to provide the tools and insights that enable small businesses to succeed in a competitive landscape.By championing the growth of independent businesses, Faire fosters positive economic impacts within communities worldwide. We are on the lookout for intelligent, resourceful, and passionate individuals to join our team as we drive the shop local movement. If you share our commitment to community, we invite you to be part of ours.About this roleAt Faire, we leverage advanced machine learning and data insights to transform the wholesale industry, enabling local retailers to stand strong against larger competitors. The Data Science team is pivotal in developing and sustaining a variety of algorithms and models that enhance our marketplace. We focus on creating innovative machine learning models that empower our customers to succeed.As a member of the Brand Data Science team focused on Listing Quality, your role will involve enhancing the quality of product listings, enabling retailers to effectively discover and assess products on Faire. You will apply ML and AI to address key challenges, including improving image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. Utilizing deep learning, multi-modal LLMs, and a human-in-the-loop approach, you'll deliver high-performance solutions. In this rapidly evolving domain, you will be at the forefront of applying cutting-edge technology to drive tangible outcomes. You will independently design and implement solutions while collaborating with the cross-functional Listing Quality pod, which includes product, design, engineering, analytics, and operations, to tackle challenges comprehensively.

Join Team CATHEXIS, where we transform the government contracting landscape through swift responses, extensive expertise, and innovative problem-solving. Our foundational strengths lie in superior program and project management, data analytics, and audit services—all anchored by our commitment to operational excellence.We recognize and respect the hard work you’ve put into your career, and we strive to make each day better than the last. At CATHEXIS, we embrace an all-in mindset, collaboratively fostering an environment that upholds our shared values while supporting individual aspirations. Our core values include Respect, Engagement, Customer Service, Integrity, Teamwork, and Excellence. We believe that success flourishes when we listen empathetically, uphold ethical standards, and create a fun, rewarding environment where everyone’s strengths are celebrated.We are seeking a passionate Data Scientist / Machine Learning Engineer to enrich our team. In this role, you will collaborate directly with data scientists, software engineers, and subject matter experts to define new analytical capabilities that empower our federal clients in their decision-making and digital transformation journeys.Note: We are actively building a pipeline of qualified candidates for future opportunities. If your qualifications match our anticipated needs, a member of our Talent Acquisition team may reach out when a relevant role becomes available or for preliminary discussions.

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 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.

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

Aimpoint Digital stands as a leading analytics consulting firm dedicated to unlocking business value for our clients through unparalleled expertise in data strategy, analytics, decision sciences, and robust data engineering infrastructures. This role is integral to our decision sciences practice, which delivers cutting-edge solutions leveraging machine learning and statistical modeling.Role OverviewAs a Principal Decision Scientist at Aimpoint Digital, your primary focus will be to empower our clients to harness the full potential of their data. You will collaborate with diverse stakeholders within client organizations to develop impactful solutions that extract valuable insights while providing training on managing and maintaining these solutions. Typical projects will involve machine learning, artificial intelligence, statistical analysis, automation, optimization, and innovative data visualizations.Key responsibilities include:Engaging with clients to define overarching business objectives and crafting actionable project plans to achieve them.Conducting proactive research and applying cutting-edge knowledge in data science to deliver top-tier solutions.Leading teams through the entire data science lifecycle, from initial problem definition to model deployment and automation.Providing technical leadership and contributing to development efforts across teams while also delivering specific technical components.Managing client relationships and driving initiatives that create value for both clients and the company.Designing and developing feature engineering pipelines, establishing ML & AI infrastructures, deploying models, and orchestrating advanced analytical insights.Writing efficient code in SQL, Python, and Spark, adhering to best practices in software engineering.Candidate ProfileWe seek collaborative professionals who are driven to create value, thrive in a dynamic environment, and address real-world business challenges. You are an adept coder, producing optimized and efficient code. You possess problem-solving skills that allow you to deliver both straightforward and sophisticated solutions, ensuring that clients can comprehend, implement, and maintain them. Your perspective encompasses the entire machine learning pipeline as you design robust solutions. You embody both the roles of a mentor and a learner, fostering growth among your clients and teammates alike. Your goal is to make a significant impact for your clients through thoughtful prioritization and guiding solutions from conception to deployment.