Trabajos senior data scientist en Jersey City, NJCrear alertas

Collaborative, supportive culture, including an active DE&I program.

Chaos Labs is the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while protecting user funds.We use world-class custom EVM and on-chain simulations to understand protocol mechanics and scenario implications.Our platform

We are seeking a full stack Senior Data Scientist who will help shape business strategy and product development decisions through data-driven insights for SoFi’s financial services products.This is an exciting role for someone to make a direct impact on the product strategy and revenue of SoFi.Suc

You’ll also have a hand in shaping January’s data infrastructure, influencing how we gather, unify, and leverage proprietary data to create a comprehensive view of consumer financial behavior. As a data scientist, you'll play a significant role in shaping product direction through the developmen

StubHub is on a mission to redefine the live event experience on a global scale.Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate.From fans selling a sin

All of this data is used to create property-level financial risk metrics and macroeconomic variables to quantify the impacts of climate, property by property. We empower governments at the highest levels to make smart regulations, businesses to avoid bad investments, and everyday homebuyers to under

Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. With a vibrant community of 2 million data scientists worldwide,. Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/M

This role makes a difference: as a machine learning company, data insights are essential to our business. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. Work closely with Technical Product Owners to prioritize high-level needs a

Minimum Years of Experience Required: 6+ Years.Salary range: $160,000 - $190,000 (for Senior/Experienced level).To be eligible for this role, applicants should be a Permanent Resident or have existing legal authorization to work in the U.Visa sponsorship is not available at this time.Join our team a

The New York City Criminal Justice Agency (CJA) is a not-for-profit service and research organization that operates in partnership with the New York City Mayor’s Office of Criminal Justice. CJA is the City’s main pretrial services agency, combining operations, pilot projects, and research under

Our mission at Duolingo is to develop the best education in the world and make it universally available.It’s a big mission, and that’s where you come in!.At Duolingo, you’ll join a team that cares about educating our users, experimenting with big ideas, making fact-based decisions, and finding

At Nexxen, we value our differences, varied experiences, and collective contribution.We know that not everyone takes the same career path, so if you don’t match this job description perfectly, don’t worry! We would rather see your application than risk missing out on your potential to make an im

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with a minimum of 5 years of industry experience as a Data Scientist.

Handshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data.As AI models become more sophisticated, the demand for specialized human input continues to grow—and Hands

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience.It’s hard to believe that it’s 2025 and paying rent on time is expensive, inflexible, and difficult.We’re here to change that! Flex enables our users to pay rent throughout the month on

Preprocess and clean large-scale real-world data to ensure data quality and integrity. As a Senior Data Scientist, you will be responsible for driving the analysis and interpretation of real-world data to generate valuable insights and support evidence-based decision making in the healthcare industr

As a Senior Data Scientist at Cint you will have the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Media Measurement and Data Solutions products. Experience modeling and quantifying outcomes through linking attitudina

Mentor & Scale the Team: Coach junior and mid-level data scientists and engineers, review code, drive standards, and help shape a culture of high performance, curiosity, and inclusivity.

At Oura, our mission is to empower every person to own their inner potential.With our award-winning Oura Ring and app, we help over 2.We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work.We are looking for a Senior

We are about 300+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. All this might sound great, but you’re probably still wondering, “Would I

Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology.We are on a mission to fundamentally transform the viewing experience for everyone.Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to e

Predictive Marketing: Develop and implement predictive models to anticipate customer behaviors, optimize marketing campaigns, and support customer retention strategy. Contribute to pricing strategy, product development, and assortment optimization, as well as enhancing cross-selling strategies. Grad

Hinge is seeking a versatile Senior Data Scientist to work on product development initiatives in our Monetization team. From assessing opportunities and experiments through analytical techniques to modeling user experience with machine learning, you, as a Data Scientist at Hinge, will inform and eva

As a Senior Data Scientist on the Media Group Decision Sciences team, you will help design and deliver of data-driven insights and solutions that enhance audience engagement across streaming and linear platforms. This role involves close collaboration with data scientists, engineers, analysts, and s

We are looking for a highly skilled Senior Data Scientist in New York to lead complex data analysis and model development, providing crucial insights for business strategy.As a Senior Data Scientist, you will:.Lead data science projects from conception to deployment.Develop and implement advanced ma

Built on top of end-to-end streaming architecture, we are committed to empowering businesses to deliver personalized and engaging experiences to their customers across all screens and devices.We believe that the opportunity to help teams activate insights from their customer data to deliver more rel

With this in mind, you’ll then work with other Data Scientists to identify opportunities to further assist our customers by creating or improving existing data assets. As a Senior Data Scientist, you’ll lead the design and curation of all of the data assets that are provided to our customers wit

Flexible advertising, unified by data.Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them.Our flexible and unified technology stack comprises a demand-side platform (“DSP”) and supply-sid

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more.It is where thousands of communities come together for whatever, every day.We’re about community, inside and out.You’ll find coworkers who are eage

Wiliot was founded by the team that invented one of the technologies at the heart of 5G.Their next vision was to develop an IoT sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging—things

You’ll conduct quantitative research to inform product strategy and opportunities, design metrics to help track goals and make decisions, devise learning methods (including experiments) to test hypotheses, and work closely with our machine learning and data engineering teams on building MVP user-f

Remote work permitted five (5) days a week from within New York area, NY. Remote work permitted five (5) days a week from within New York area, NY.

FanDuel Group is the premier mobile gaming company in the United States and Canada.FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned lead

Sia Partners is a next-generation management consulting firm.We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients.Counting 3,000 consultants in 19 countries, we expect to achieve USD 420 million in turnover for the current

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.One of our companies is currently looking for a.Senior Data Scientist | Product.As a Senior Data Scientist in the Product team,

You won’t simply present data, but tell data-driven stories. Collaborate with Data and Analytic Engineers to improve the quality and usability of our data and generate reusable assets in our feature store. By applying your technical skills, analytical mindset, and product intuition to our rich and

C3 AI (NYSE: AI), is the Enterprise AI application software company.C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-speci

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Martin Bauer is a leader in botanical extracts and functional ingredients for food and beverages. We’re passionate about innovation, quality, and creating solutions that drive the future of food and nutrition. We are looking for a curious and motivated Food Scientist to join our R&D team and help bring cutting-edge products from concept to reality. What You’ll Do As an entry-level Food Scientist, you will work closely with experienced R&D professionals to support product development and innovation projects. This is an excellent opportunity for recent graduates or early-career professionals to gain hands-on experience in a fast-paced and collaborative environment. Key Responsibilities: • Assist in developing, testing, and optimizing formulations for beverages, snacks, and other food products., • Support pilot plant and lab-scale trials, including ingredient weighing, mixing, and processing., • Conduct sensory evaluations and collect data for product improvement., • Assist in shelf-life studies and quality evaluations to ensure product performance over time., • Maintain accurate records of experiments, results, and formulations., • Stay current on food trends, ingredient innovations, and regulatory requirements., • Partner with cross-functional teams (QA, Operations, Marketing) to support commercialization efforts. What We’re Looking For • Education: Bachelor’s degree in food science, Food Technology, Chemistry, or a related field., • Experience: 0–2 years of experience in food or beverage product development (internships or co-ops strongly considered)., • Technical Skills:, • Basic knowledge of food chemistry, ingredient functionality, and processing., • Familiarity with laboratory equipment and standard testing methods., • Soft Skills:, • Strong attention to detail and ability to follow experimental protocols., • Excellent communication and organizational skills., • Curiosity, creativity, and willingness to learn., • Other: Comfortable working in lab, pilot plant, and production environments. What We Offer • Hands-on experience with real-world product development projects., • Mentorship from senior food scientists and opportunities for rapid skill growth., • Competitive salary, benefits, and professional development opportunities., • A collaborative and innovative work culture where your ideas matter.

Title: Senior Data Scientist Location: Remote (EST) Duration: 04 Months Job Description: As a Senior Data Scientist on Institutional Retirement Strategies, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise, business acumen, strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of advanced data science solutions comprising the portfolio developed by the Lead Data Scientist and the technical requirements specified by the Lead Data Scientist. Perform hands-on data analysis, model development, model training, and model testing., • Write production-level code and partner with machine learning engineers to push development code into production., • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques., • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines., • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models., • Generative AI & Natural Language Processing: Experience with modeling and interpreting text analysis including NLP, LLMs (BERT, etc), and Generative AI. Experience in modern Gen AI technologies including RAG, LangChain, LangGraph, vector DB and their application in Institutional Retirement Strategies area., • Statistics and Computing: Exceptional understanding of: Multivariable Calculus, Linear Algebra, Differential Equations, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, Bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems., • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL.

Associate Research Scientist - Machine Learning, Center for Computational Mathematics (Joint with Cooper Union). Associate Director, Commercial Analytics and Data Science.

As a Senior Manager in the Compliance Technology & Data Strategy function, you will play a key role in shaping the firm's approach to governance, oversight, and strategic development of our transaction monitoring (TM) models, systems, and supporting data. Strong understanding of compliance-critical

As a Senior Data Scientist, you will work directly with clients and internal delivery teams to build and deploy AI-powered solutions that transform how work gets done. This is a hybrid role: equal parts data scientist and technical consultant. Collaborate with delivery leaders to scope, develop, and

Advanced Analytics & Modeling:.Lead the design and implementation of robust analytical solutions to quantify and improve the effectiveness of Walmart’s marketing investments.Drive the adoption and advancement of Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and causal inference meth

Job Description Job Title: Senior Data Scientist, Agentic AI Location: New York, NY office (hybrid - 3 days a week onsite) Main Skills: Data Scientist Agentic AI, Modeling, Statistics, Python, insurance data, (records, claims) This is a potential contract to hire role. Client is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. This role presents a distinctive opportunity to drive real-world impact by applying cutting-edge AI to transform how Client does business. Client’s Data & AI team spearheads a culture of intelligence and automation across the enterprise, creating business value from advanced data and AI solutions. Our team includes data scientists, engineers, analysts, and product leaders working together to deliver AI-driven products that power growth, improve risk management, and elevate customer experience. Client created the Data Science Lab (DSL) to reimagine insurance in light of emerging technology, evolving consumer needs, and rapid advances in AI. The DSL expedites Client’s transition to data-driven decision making and fosters innovation by rapidly testing, scaling, and operationalizing state-of-the-art AI. We are seeking a Senior Data Scientist, Agentic AI—an experienced individual contributor with deep expertise in AI/ML and a track record of turning advanced research into practical, impactful enterprise solutions. This role focuses on building, deploying, and scaling agentic AI systems, large language models, and intelligent automation solutions that reshape how Client operates, serves customers, and drives growth. You’ll collaborate directly with senior executives on high-visibility projects to bring next-generation AI to life across Client’s products and services. You will: Key Responsibilities • Design and deploy Agentic AI solutions to automate complex business workflows, enhance decision-making, and improve customer and employee experiences., • Operationalize cutting-edge LLMs and generative AI to process and understand unstructured data such as contracts, claims, medical records, and customer interactions., • Build autonomous agents and multi-step reasoning systems that integrate with Client’s core platforms to deliver measurable business impact., • Partner with data engineers and AIOps teams to ensure AI models are production-ready, scalable, and robust, from prototype to enterprise deployment., • Translate research in agentic AI, reinforcement learning, and reasoning into practical solutions that support underwriting, claims automation, customer servicing, and risk assessment., • Collaborate with product owners, engineers, and business leaders to define use cases, design solutions, and measure ROI., • Contribute to the Data Science Lab by establishing repeatable frameworks for developing, testing, and deploying agentic AI solutions., • Mentor junior data scientists and contribute to the standardization of AI/ML practices, tools, and frameworks across Client. You are: • Passionate about pushing the frontier of AI while applying it to solve real-world business problems., • Excited by the potential of agentic AI, autonomous systems, and LLM-based solutions to transform industries., • A hands-on builder who thrives on seeing AI solutions move from proof-of-concept to real-world deployment., • Comfortable working in multi-disciplinary teams and engaging with senior business leaders to align AI solutions with enterprise goals. You have: • PhD with 2+ years of experience, Master's degree with 4+ years of experience in Statistics, Computer Science, Engineering, Applied mathematics or related field, • 3+ years of hands-on AI modeling/development experience, • Strong theoretical foundations in probability & statistics, • Strong programming skills in Python including PyTorch, Tensorflow, LangGraph, • Solid background in machine learning algorithms, optimization, and statistical modeling, • Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level, • Excellent analytical and problem-solving abilities with superb attention to detail, • Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Company DescriptionData Scientist working with Agentic AI, Modeling, Statistics, Python, unstructured or insurance data, (records, claims) for a global insurance company in NYC.Data Scientist working with Agentic AI, Modeling, Statistics, Python, unstructured or insurance data, (records, claims) for a global insurance company in NYC.

Job DescriptionAbout Fusemachines Fusemachines is a leading provider of AI strategy, talent, and education services. Founded by Dr. Sameer Maskey, an Adjunct Associate Professor at Columbia University, our mission is to democratize AI. With a presence in four countries—Nepal, the United States, Canada, and the Dominican Republic—and a team of over 350 full-time employees, we leverage our global AI expertise to drive innovation and transformation for businesses worldwide. This is a remote role. 6 months contract with us and after that will be hired as a full time employee directly with the client. About the role As a Data Scientist on our team, you will contribute to new product development in a collaborative, small-team environment, writing production code for both run-time and build-time applications. You will help design and implement data-driven solutions for complex business challenges by discovering, extracting, and modeling knowledge from large-scale natural language datasets. Your work will involve prototyping new ideas and collaborating with data scientists, product designers, data engineers, front-end developers, and domain experts to drive innovation. This role offers the opportunity to work in a fast-paced, start-up-like culture while leveraging the resources and scale of an established company. Responsibilities • Develop and implement LLM-based applications for various use cases., • Evaluate and maintain data assets and training/evaluation datasets., • Design and build pipelines for preprocessing, annotating, and managing large-scale text datasets., • Collaborate with domain experts to understand requirements and ensure ML applications align with business needs., • Conduct experiments and evaluate model performance to drive continuous improvements., • Fine-tune and deploy large language models(LLMs) to enhance their performance on specialized tasks., • Interface with other technical teams to finalize requirements., • Work closely with development teams to understand complex product requirements and translate them into scalable software solutions, • Implement development best practices, including coding standards, code reviews, and production-ready implementations. Requirements • Practical experience with large language models (LLMs), prompt engineering, fine-tuning RAG-based applications, and benchmarking using frameworks like LangChain., • Strong background in natural language processing (NLP) with experience using spaCy, word2vec, Flair, BERT., • Formal training in machine learning, including dimensionality reduction, clustering, embeddings, and sequence classification algorithms., • Proficiency in Python and experience working with ML frameworks like PyTorch, TensorFlow, and Hugging Face Transformers., • Experience with cloud platforms such as AWS, GCP, or Azure., • Understanding of data modeling principles and complex data architectures., • Experience working with relational and NoSQL databases and vector stores (e.g., MySQL, Postgres, Solr, Elasticsearch, OpenSearch)., • Familiarity with distributed computing frameworks like Spark, Scala, or Ray (highly preferred)., • Knowledge of API development, containerization (Docker, Kubernetes), and ML deployment (highly preferred)., • Hands-on experience with ML Ops/AI Ops, including experiment tracking tools like LangFuse and DVC., • Experience with deep learning frameworks such as PyTorch, Tensorflow and Hugging Face TransformersPreferred Qualifications, • MS in Data Science, Computer Science, Statistics, Machine Learning, or related field NXhNfVyKHF

Job DescriptionThe Role We are looking for a Senior Climate Scientist with strong industry experience and a robust coding background to join our team. This role requires a blend of scientific expertise, technical proficiency, and communication skills, enabling you to not only contribute to our wildfire and climate models but also effectively pitch and discuss our models and systems with stakeholders. Primary Responsibilities • Develop, refine, and validate climate and wildfire models to support underwriting and risk management., • Communicate complex scientific models and data-driven insights to both technical and non-technical audiences., • Collaborate closely with cross-functional teams, including engineering and underwriting., • Stay up-to-date with the latest climate science research, methodologies, and industry trends., • Design and implement Python-based analytical tools and models., • Analyze historical and predictive wildfire and climate data to improve model accuracy and effectiveness. Essential Experience of a Successful Candidate • PhD or Master's degree in Climate Science, Meteorology, Environmental Science, or a related field., • Proven industry experience in climate modeling, wildfire risk assessment, or similar domains., • Strong Python programming skills, including experience with data analysis libraries such as Pandas, NumPy, and geospatial tools., • Hands-on experience with climate and wildfire modeling techniques and tools., • Excellent communication skills, capable of simplifying complex models for diverse audiences., • Experience presenting at conferences or pitching scientific models to industry stakeholders., • Familiarity with machine learning techniques for climate data analysis., • Knowledge of geospatial data analysis and visualization frameworks., • Be part of a mission-driven company tackling real-world challenges., • Work with a passionate and innovative team in a collaborative environment., • Opportunity to influence cutting-edge wildfire risk modeling in a dynamic industry., • Competitive salary ranging from $120,000 to $160,000 depending on experience and qualifications., • Benefits package includes remote work flexibility, with tools to support productive work from home.

Job Description About Cleerly We're Cleerly – a healthcare company that's revolutionizing how heart disease is diagnosed, treated, and tracked. We were founded in 2017 by one of the world's leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which has enabled rapid growth and continued support of our mission. In December 2024 we received an additional $106M in a Series C extension funding. Most of our teams work remotely and have access to our offices in Denver, Colorado, New, York, New York, Dallas, Texas, and Lisbon, Portugal with some roles requiring you to be on-site in a location. Cleerly has created a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries. Cleerly's solutions are supported by more than a decade of performing some of the world's largest clinical trials to identify important findings beyond symptoms that increase a person's risk of heart attacks. At Cleerly, we collaborate digitally and use a wide variety of systems. Our people use Google Workspace (GMail, Drive, Docs, Sheets, Slides), Slack, Confluence/Jira, and Zoom Video, prior experience in these areas is a plus. Role or department specific technology needs may vary and will be listed as requirements in the job description. About the Opportunity We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions. TTC*: Denver: $276,000.00 - $299,000 New York: $303,000 - $329,000 *Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). We hire employees anywhere within the United States and account for geography when determining base salary. Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous experimental design, statistical validation, and performance benchmarking of ML algorithms, with emphasis on clinical relevance and generalizability., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams., • Partner with Regulatory Affairs to support AI-based regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos., • Contribute to intellectual property development through patents and scientific publications., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience., • Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning., • Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection., • Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis)., • Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow); experience building reproducible ML pipelines and handling large-scale datasets., • Ability to translate complex clinical requirements into machine learning solutions., • Proven ability to independently drive several complex projects from concept to deployment, including cross-functional coordination., • 2+ years of industry experience in AI-based medical device development or clinical deployment., • Experience supporting FDA regulatory submissions for ML-based software, with familiarity in De Novo, 510(k), and PCCP pathways., • Hands-on experience with advanced ML topics: vision transformers, longitudinal modeling, ML-based survival analysis, semi-/self-supervised learning, continual learning, etc., • Deep domain knowledge in cardiovascular imaging and CT interpretation workflows. Working at Cleerly takes HEART. Discover our Core Values: • H: Humility- be a servant leader, • E: Excellence- deliver world-changing results, • A: Accountability- do what you say; expect the same from others, • R: Remarkable- inspire & innovate with impact OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER. We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. By submitting your application, you agree to receive SMS messages from Cleerly recruiters throughout the interview process. Message frequency may vary. Message and data rates may apply. You can STOP messaging by sending STOP and get more help by sending HELP. For more information see our Privacy Policy (). All official emails will come from @cleerlyhealth.com email accounts. #Cleerly