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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

Build scalable machine learning models for claim time series forecasting and NLP text understanding. You are an ML Engineer / Data Scientist with 3+ years of experience, especially in highly scalable production environments.

Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry gian

In this context, we are looking for a capable and enthusiastic data scientist to join our team. PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to massively accelerate physics simulations and enable a new frontier of optimization opportunities in

We are seeking a highly analytical and detail-oriented Associate Data Scientist to join our data analytics team.The role involves working on data analysis, machine learning, and data visualization projects to derive actionable insights and support data-driven decision-making.This is an excellent opp

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

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

Staff Machine Learning Data Scientist. This high-impact role will focus on building robust, scalable, and accurate physiological machine learning models from large-scale wearable and health datasets. Have a PhD in machine learning, artificial intelligence, biomedical engineering, or a closely relate

IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more.

Build scalable machine learning models for claim time series forecasting and NLP text understanding. A ML Engineer who thrives on first principles problems that no one has ever worked on before. You are an ML Engineer / Data Scientist with 2+ years of experience, preferably in highly scalable produc

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.

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.

Job Description This position is posted by Jobgether on behalf of Trepp, Inc. We are currently looking for a Senior Data Scientist in New York (USA). This role offers an exciting opportunity to lead the design, development, and deployment of advanced machine learning and AI models with real business impact. The Senior Data Scientist will work across product, engineering, and business teams to identify opportunities for data-driven decision-making and to implement scalable solutions in production systems. This position emphasizes strategic thinking, technical leadership, and mentoring of junior colleagues, while driving innovation in AI, deep learning, and analytics. Ideal candidates thrive in a collaborative environment, translating complex data insights into actionable recommendations for executives and stakeholders. Flexibility is offered with partial remote work options, and the role encourages continuous learning in emerging AI technologies. Accountabilities · Lead end-to-end development and deployment of machine learning and AI models for production systems. · Define project objectives, scope, methodologies, and ensure alignment with business goals. · Identify data-driven opportunities and develop innovative solutions to enhance decision-making. · Oversee model performance monitoring, implementing strategies for continuous improvement. · Present insights and recommendations to executive leadership and key stakeholders. · Promote best practices in data science methodologies, coding standards, and reproducibility. · Mentor junior and mid-level data scientists, fostering collaboration and knowledge sharing. · Partner with engineering, product, and business teams to integrate AI solutions into core offerings. Requirements · Bachelor’s degree in Data Science or related field with 5+ years of progressive experience, or Master’s degree with 3+ years of relevant experience. · 3+ years of experience with Python libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. · 3+ years of experience with cloud computing platforms (AWS, Azure) for ML/AI deployment. · 3+ years of experience with supervised and unsupervised learning algorithms including regression, classification, clustering, and time series forecasting. · 2+ years of experience designing, fine-tuning, and deploying GenAI models. · 2+ years of experience leading data science projects and mentoring team members. · Knowledge of machine learning, commercial mortgage-backed securities, commercial real estate, commercial lending, or collateralized loan obligations is a plus. · Strong analytical, problem-solving, and communication skills. Benefits · Competitive base salary starting at $169,541 per year. · Opportunities for remote work (up to 2 days per week). · Professional growth through mentoring and cross-functional collaboration. · Exposure to cutting-edge AI, deep learning, and big data technologies. · Supportive, collaborative, and knowledge-sharing work environment. 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. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Job Description 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 2.5 million people turn insights about sleep, activity, and readiness into healthier, more balanced lives. We believe that starts from within — by creating a culture where our team feels supported, included, and inspired to do their best work. Our values guide how we show up for each other and our community every day. We are looking for a Senior Data Scientist to join our Performance Squad. This squad is dedicated to building advanced, high-impact features for athletes and highly active members seeking to optimize their physical performance. In this role, you will move beyond foundational tracking to provide our members with actionable coaching and personalized insights that help them achieve their training goals. You will be leading the charge on developing novel running dynamics algorithms (e.g., cadence, ground contact time), creating a data-driven form coaching experience, and building the analytical foundation for structured workout tracking. This is a remote US role with a strong preference for candidates based in the US Eastern Time Zone. What You Will Do • Lead Algorithm Development: Lead the end-to-end research, prototyping, and development of novel algorithms for advanced activity analysis, with an initial focus on running dynamics and advanced activity metrics., • Build & Deploy ML Models: Design, build, and deploy production-grade ML models that translate complex sensor data into personalized, actionable insights for Oura members., • Own the Data Science Lifecycle: Take full ownership of projects from initial data exploration and signal processing through to robust validation, deployment, and post-launch monitoring and iteration., • Influence the Product Roadmap: Partner closely with Product, Engineering, and Design to define the technical vision and roadmap for the Performance squad, ensuring our work is scientifically rigorous and delivers tangible member value. We would love to have you on our team if you have: • 6+ years of relevant work experience (including deployment to production) as a data scientist or machine learning engineer, with a track record of leading complex projects., • Deep, hands-on experience working with time-series data from a multi-axis accelerometer, gyroscope, or similar MEMS sensors (preferably in the consumer wearable or biomechanics space)., • Expert-level proficiency in Python, including deep knowledge of scientific/ML libraries, and experience building robust, scalable, and production-ready code., • Strong, hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow)., • Expert-level proficiency in SQL and data wrangling, and comfort contributing to and maintaining the data pipelines for the features you develop., • A deep, intuitive understanding of experimental design, causal inference, and validation methodologies for ML-powered product features., • Familiarity with end-to-end development using AWS (or a similar cloud service)., • Experience working with international and distributed teams., • Prior experience in the athletic performance technology space.Nice to Have, • A background in biomechanics, kinesiology, or sports science., • Experience with MLOps principles and tools for model deployment and monitoring. At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health. What we offer: • Competitive salary and equity packages, • Health, dental, vision insurance, and mental health resources, • An Oura Ring of your own plus employee discounts for friends & family, • 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off, • Paid sick leave and parental leave Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future. • Region 1 $162,000- $203,000, • Region 2 $150,000- $187,000 We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI) Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer: Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note: • Our jobs are listed only on the ŌURA Careers page and trusted job boards., • We will never ask for personal information like ID or payment for equipment upfront. To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Job Description mParticle by Rokt is widely recognized as one of the leading customer data platforms, serving hundreds of global brands and helping them turn data to insights and insights to action. 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 relevant and adaptive experiences is more important than ever. In January 2025 mParticle merged with Rokt and became mParticle by Rokt. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions, connecting 400 million customers across the world’s leading companies. We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies. In January 2025, Rokt’s valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries. The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable. At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible. We are looking for a Senior Data Scientist (Identity & Attribution) Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits. Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility. About the Role: As a Senior Data Scientist on the Identity team, you’ll play a critical leadership role in building scalable systems and models that power identity and attribution — tackling problems like entity resolution, data enrichment, and real-time user matching. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems. • Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to to significantly improve the effectiveness and quality of our attribution and user graph systems, including but not limited to identity., • Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies., • Test and run experiments to determine impact on model relevancy., • Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases, • Conduct proactive analysis, modeling, and automation of improvements to entity resolution in areas such as geography, linkage, fraud detection, and risk assessment., • Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph. About You: • 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data, • Master’s degree in Statistics, Econometrics, Machine Learning, or related fields., • Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems, • Strong knowledge of online AB testing and experimentation, • Strong knowledge of Python 3 (data science libraries) and SQL;, • Experience with distributed computing frameworks, particularly Spark is preferred, • Experience with Kubeflow is preferred, • Understands prompts for AI and is comfortable with using AI to improve day to day productivity, • Experience with large-scale data science projects in identity, attribution, fraud, or related areas (e.g., authentication, user verification, risk scoring, graph-based linking), • Strong analytical / modeling experience tied to business outcomes, • Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries, • Experience with common Python data science libraries such as pandas, numpy and scipy About Rokt’stars: As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. About the Benefits: We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it: • Accelerate your career. We offer roadmaps to leadership and an annual training allowance, • Become a shareholder. Every Rokt’star gets equity in the company, • Enjoy catered lunch every day and healthy snacks in the office., • Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents., • Dog-friendly office, • Extra leave (bonus annual leave, sabbatical leave etc.), • Work with the greatest talent in town We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.

Job Description Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We're looking for a Data Scientist to join our Directory team, ensuring that Garner maintains a best-in-class understanding of physicians and healthcare facilities across the U.S. Where you will work: This is a hybrid role and will require up to 3 days in Garner's New York City office. What you will do: • Build and maintain data-driven algorithms, including AI and machine learning models, to improve provider recommendations and the member search experience., • Enhance Garner's understanding of the provider landscape by evaluating and integrating data from multiple sources., • Design scalable data pipelines that ingest, clean, and enrich healthcare provider data., • Collaborate cross-functionally with product, engineering, and operations teams to translate business needs into data-driven solutions.What you will bring to the team:, • 1-3 years professional experience in data science, product analytics, and/or healthcare., • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders., • Experience with Python and SQL., • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success., • Experience working in a rapidly evolving startup environment., • A desire to be a part of our mission to improve the U.S. healthcare system.

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

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space. We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in optimizing replenishment strategies and allocating resources within supply chains, and strong coding capabilities to add to our team. Key Responsibilities: • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming, • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG., • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to replenishment optimization and inventory allocation., • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain., • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions., • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies., • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement., • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization., • Proven experience 7+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation., • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field., • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications., • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts., • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries., • Ability to apply various analytical models to business use cases This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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 Description Senior Data Scientist: Remote/Hybrid NYC metro area ($175-200k) Our company is on a mission to redefine the live event experience on a global scale. We're on the lookout for an accomplished Senior Data Scientist to join our Data Engineering & Analytics team. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within our dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of our consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. About The Role As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. Location: Remote/Hybrid in NYC Metro Area What You'll Do • Build and understand modeling related to one of four possible areas including Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity across your team Required Skills: • 5-9 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Passionate about working with non-technical stakeholders to understand, anticipate, and deliver on their data needs Salary Range: $175,000—$200K + Bonuses

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Data Scientist - Crypto - this is a fully remote role for US based candidates or Europe based candidates (if they can work EST hours). We are the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while safeguarding user funds. We analyze protocol mechanics and scenario implications using world-class custom EVM simulations to provide actionable insights. Our platform is trusted by leading protocols, including Aave, GMX, dYdX, Venus, Jupiter and others, to manage and secure billions of dollars in assets. We are seeking a proactive and results-driven Senior Data Scientist to join our team. Reporting directly to the Head of Economic Risk & Strategy, you will play a critical role in advancing our modeling capabilities and delivering powerful data insights across decentralized finance. In this role, you will collaborate with protocol teams and internal stakeholders to support strategic research, simulation, and risk analysis. Responsibilities: * Work alongside leading crypto engineers and product managers to deep dive into market-leading protocols and help drive game-changing insights and predictions (see example) * Lead and drive innovative research to understand how different actors in the crypto market behave and interact, and drive modeling of such actors into our simulation platform * Present your insights and suggestions to audiences both internally and externally with the opportunity to publish industry-defining research * Explore new algorithms and techniques to surface insights in DeFi security and optimizations * Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to customers such as AAVE, Uniswap, dydx, and others * Collaborate with cross-functional teams to ensure high-quality outputs. * Contribute to the continuous improvement and innovation of our platform. Requirements: * 4+ years of professional experience in Data Science – a must * Strong trading background required, including experience building models and deep understanding of derivatives, pricing, financial markets, and systems * Previous experience in FinTech * Solid understanding of machine learning techniques and algorithms * Hands-on experience with Python and relevant data science packages * You love working in small, dynamic, fast-paced teams that encourage you to learn and grow * Strong problem-solving abilities and a passion for DeFi and blockchain technology Preferred Qualifications: * Bonus points for prior web3 experience using Dune or writing smart contracts * Bonus points for DeFi knowledge * Broader understanding of crypto and blockchain ecosystem – a plus * Demonstrated ability to work in a fast-paced, collaborative environment Compensation & Package Our Perks: * Flexible hybrid work environment. * Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays. * 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents. * FSA or HSA (pending on selected health insurance). * Generous 401k plan with employer match. * Thoughtful Parental Leave Policy. * Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP. * Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development. * Pre-tax Commuter Benefits. * Salary and seniority level commensurate with experience (range: $130-150K USD)

Job Description About Fusemachines Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 450 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world. About the role This is remote, full-time A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams. RESPONSIBILITIES: • Lead a team of data scientists to develop innovative solutions to complex business problems., • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions., • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue., • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems., • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner., • Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems., • Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work., • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field., • 8+ years experience in Data Scientist or Machine learning., • Strong programming skills in languages such as Python, R, C++, and SQL., • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow, • Experience with cloud compute environments such as AWS, GCP, Azure, • Experience leading data science teams., • Ability to work independently and manage multiple projects simultaneously., • Strong problem-solving skills and attention to detail., • Excellent communication skills both written and verbal. Powered by JazzHR UGiRW7qU9F

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionAbout CookUnity Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the role:We're looking for an experienced ML-focused Data Scientist to design, build, and productionize personalization and recommendation systems that help every CookUnity customer discover meals they'll love. You'll develop user modeling and ranking algorithms, ensure they integrate seamlessly into production, and lead experimentation strategies to measure their real-world impact. This is a hands-on, high-impact role for someone who can blend strong machine learning expertise with strategic thinking, rigorous experimentation, and close collaboration with Product, Engineering, and Business stakeholders.What You'll Do As a Staff level Machine Learning–savvy Data Scientist at CookUnity, you'll: • Architect and deliver production-grade recommendation and personalization systems, from user modeling to ranking algorithms and embeddings., • Quantify and optimize business impact through A/B testing, experimentation design, causal inference, and lift analyses., • Translate product and business needs into effective, data-driven solutions that scale., • Collaborate with cross-functional teams to embed experimentation and feedback loops into our workflows., • Mentor and coach the data team on best practices in ML model validation, experimentation, and scalability.You Might Be a Great Fit If You Have:, • 6+ years in data science, machine learning, or applied statistics., • Deep experience building recommendation engines, personalization pipelines, ranking/relevance models, search optimization, or embedding-based features., • Hands-on familiarity with A/B testing frameworks, and skills in experimentation design, causal inference, and measuring incremental impact., • Strong programming chops in Python and SQL (with bonuses for experience in Snowflake, PyTorch, Airflow, MLFlow, ECS), • A proven ability to work across disciplines and guide stakeholders—while also owning the technical end-to-end performance of your models. 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical 🐣 Paid Family leave 🕯 Compassionate Leave: 3-5 days each time the need arises 🥘 A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly 🧘🏽️‍♀️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle 👩🏾️‍🏫 Personalized Spanish coach 🌟 Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data.Pay Range for this position$190,000—$200,000 USD If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

Job DescriptionCompany Description Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights. With decades-long expertise in the financial services industry and a relentless focus on the future, Curinos technology and analytics ecosystem allows clients to anticipate customer needs and optimize their go-to market decisions in an increasingly competitive market. Curinos operates in a hybrid/remote model, and this position is fully remote in the United States or hybrid in the Greater New York, Boston or Chicago metropolitan areas. Job Description We’re looking for an experienced applied data scientist to join our Data Science & Machine Learning Team focused on the application of data science, machine learning and AI approaches to understanding banking customer behavior and optimizing engagement marketing through our FinTech product platforms! You’re passionate about finding patterns, trends, and opportunities that can enable a better consumer banking experience, curious about what is driving KPIs and customer outcomes, and insightful in your analytical approach. You thoughtfully bring data science-based insights into the conversation about our customers and pursue improvements proactively, while building on shared cross-functional knowledge and expertise. As a Senior Data Scientist, you are an influencer who can up-level the pursuit and impact of applied data science at Curinos, helping formulate and implement company-wide best practices. Responsibilities: • Combine data sources and apply multiple data and algorithmic approaches to create a clear, cohesive, static and temporal picture of banking customers, actionable for both humans and algorithms., • Collaborate with business partners to develop meaningful segments to target and optimize consumer interactions based on shared preferences and behaviors., • Partner with our machine learning engineers to refine and extend our Reinforcement Learning-based marketing optimization capabilities., • Create well-organized datasets and data processing, algorithm implementations and recommended visualizations that can support implementation in our platform software and documentation, feature and functionality descriptions and customer engagement as needed Desired Skills & Expertise: • You have 5+ years experience and a demonstrable track record of delivering applied machine learning or data science capabilities in consumer-facing and/or enterprise applications., • You have independently prototyped, optimized, validated, managed, operated and updated machine learning and statistical models., • You can demonstrate knowledge of statistical inference, experiment design, probability, sampling methodologies, regression, classification, clustering, data mining, time series analysis, causal inference analysis, neural networks and deep learning techniques. Experience in reinforcement learning and multi-armed bandit applications is highly preferred., • You have a strong working knowledge of Python-based machine learning frameworks and the data and computation management mechanisms that surround them in a cloud setting., • You have exceptional communication skills that can be delivered in the context of your audience from deep science to business decision-makers., • You possess strong interpersonal skills and an ability to influence others around you towards data-driven business goals., • You can quickly pivot and act with agility as dictated by the needs of the business., • You hold an advanced degree (PhD preferred) or equivalent career experience in Computer Science, Applied Mathematics, Statistics or a related technical discipline Additional Information Why work at Curinos? • Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from, • Flexible working options, including home working, flexible hours and part time options, depending on the role requirements – please ask!, • Competitive annual leave, floating holidays, volunteering days and a day off for your birthday!, • Learning and development tools to assist with your career development, • Work with industry leading Subject Matter Experts and specialist products, • Regular social events and networking opportunities, • Collaborative, supportive culture, including an active DE&I program We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at and we’ll do everything we can to help. Inclusivity at Curinos: We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.

Job Description Who We Are: Ordergroove is a dynamic, fast-paced environment where you will be involved in building something of real value from the ground-up. We're looking for bright, talented people who are excited about innovation, growth, and the exciting world of Relationship Commerce. If you're motivated by a desire to solve problems and deliver groundbreaking insights and solutions you'll fit in perfectly! About the Role: We're seeking a pioneering Analytics Engineer to join our growing data team. This is an opportunity to be an early, foundational team member, playing a critical role in defining how analytics engineering is done at Ordergroove. You'll have the freedom to establish best practices, and influence the direction of analytics across the organization. You'll design and optimize data models, build robust data pipelines, and ensure high-quality, accessible data for stakeholders across the company. If you love working with SQL, dbt, and Python, and thrive in a collaborative, fast-paced environment, we'd love to hear from you. What You Will Do: • Design, develop, and maintain core data models in dbt and SQL, ensuring consistency, accuracy, performance, and appropriate levels of normalization to meet business and technical needs., • Build and maintain data pipelines to ingest, transform, and serve data efficiently, leveraging tools like dbt and Airflow., • Collaborate with engineers, product managers, business stake holders to define key business metrics and ensure seamless data access., • Enable self-service analytics by creating clear documentation and supporting teams in using data effectively., • Ensure data quality and reliability by implementing monitoring systems and designing processes that maintain long-term data integrity., • Advanced SQL & Data Modeling: Strong experience in designing, building, and optimizing SQL-based data models, with an understanding of normalization trade-offs., • Data Pipeline Development: Hands-on experience with dbt and modern ETL/ELT frameworks, following best practices like version control and CI/CD., • Python & Data Engineering: Proficiency in Python for data transformations, workflow orchestration (Airflow), and automation., • Data Warehouse Design: Experience designing and optimizing a data warehouse in BigQuery, including structuring datasets, partitioning, clustering, and optimizations to manage performance at scale., • Data Quality & Governance: Experience implementing monitoring systems, ensuring data consistency, and maintaining high-quality data.Soft Skills & Mindset:, • Strong Communicator: Able to translate technical concepts for non-technical stakeholders, collaborate with engineers, and present insights effectively., • Proactive & Self-Driven: Comfortable working alone, driving projects, and building relationships across teams., • Impact-Oriented: Focused on delivering high-value solutions that empower stakeholders and improve business outcomes.Nice to Have:, • Interest in Data Science and Machine Learning, while this is not a pure data science role, familiarity with ML concepts and their applications in analytics will be a plus., • Knowledge of statistical analysis and experience applying it in real-world data problems., • Familiarity with Django or API, which can be valuable when building internal data tools or collaborating closely with backend engineering teams on data-related features.What Success Looks Like:, • Teams across Ordergroove consistently rate their data access as excellent, with clear documentation that enables confident decision-making., • The data models you build answer critical business questions with accuracy, consistency, and performance. If you don't meet 100% of the qualifications outlined above - that's okay, nobody's perfect! We encourage you to apply if you think this is a role that would make you excited to come into work every day. About Ordergroove: Ordergroove powers recurring revenue for the world's largest and most innovative retailers including L'Oreal, Dollar Shave Club, La Colombe Coffee, Bonafide Health, BarkBox, and more. As a direct result, more than 11% of adult Americans have a subscription powered by Ordergroove. Our technology makes seamless, one-of-a-kind subscriber and membership experiences possible to turn one-time transactions into profitable recurring customer relationships. Ordergroove's powerful platform empowers merchants with highly customizable options such as flexible promotions, bundling, and analytics to bolster their bottom line while making customers' lives easier. We recently achieved a milestone year with 152% year over year new business growth, and were rated best-in-class subscription technology by CB Insights and eCommerce Platform of the Year by RetailTech Breakthrough Awards. Our company values celebrate collaboration, different perspectives, and curiosity with the goal of getting to the right answer, no matter who came up with it. At Ordergroove we are committed to creating a welcoming and supportive environment for all people. We encourage people with different backgrounds and experiences to join our growing team so that we gain different perspectives and build the best team possible. We demand the best of ourselves and each other and never miss an opportunity to celebrate our successes. With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind. We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs. We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings. At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have flexible PTO and a totally remote (anywhere in the US) workforce, and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits. Come join our amazing team while we enable the fastest-growing segment of commerce that makes life easier for millions of consumers every day! At Ordergroove, we want to hire, develop and retain the best talent, making Ordergroove a top destination to grow your career. The pay transparency law is a way of narrowing the gender pay gap and fostering an engaged and positive working environment. It is also a way to share what we think is a reasonable, equitable and competitive compensation structure for the roles on our team. The total compensation range for this role is between $120,000 and $140,000 plus equity.

Job Description 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. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world. We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem. Our Data Science team serves as the backbone for enabling data-driven decisions across the organization, harnessing the potential of StubHub's consumer data through statistical and machine learning techniques. This involves creating both business-facing and customer-facing products, along with delivering user-friendly tools and clear explanations for non-technical users to enhance self-service capabilities. About the Role: As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential. Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA What You'll Do • Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition, • Build state-of-the-art machine learning models for which you own from design all the way through to production, and communicate your results to broad technical and non-technical audiences, • Serve as a subject matter expert to the broader organization around on how to best build predictive modeling in the context of forecasting and pricing, • Find and develop your own roadmaps with business partners and carry out project management and execution of your own work, • Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups, • 5-10 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred., • Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL, • Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, NumPy, SciPy, scikit-learn), • Experience in building production level models in cloud environments (e.g., AWS, Azure), • Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real-time forecasting are a nice-to-have, • Accelerated Growth Environment: Immerse yourself in an environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale., • Top Tier Compensation Package: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions., • Flexible Time Off: Embrace a healthy work-life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and recharge as needed.

Job DescriptionAbout Us:Live experiences help people cross today's digital divide and focus on what truly connects us – the here, the now, this once-in-a-lifetime moment that's bringing us together. To fulfill Gametime's mission of uniting the world through shared experiences, we make it easy for people to discover and access the live experiences that matter most.With platforms on iOS, Android, mobile web and desktop supporting more than 60,000 events across the US and Canada, we are reimagining the event ticket industry in order to move at the speed of life.About the Role We're looking for a highly analytical and business-savvy Senior Pricing Data Scientist to join our Pricing Strategy team. In this role, you'll design and execute advanced pricing models, lead experimentation efforts, and uncover insights that power monetization and growth. You'll work cross-functionally with Product, Analytics, Revenue, and Engineering to ensure our pricing strategies are data-driven, rigorously tested, and aligned with customer value. This is a high-impact opportunity for someone who thrives at the intersection of data science, economics, and strategy, and who is passionate about using data to influence pricing, product design, and long-term business outcomes. Key ResponsibilitiesModel Development & Optimization • Design, build, and maintain pricing and demand elasticity models using statistical and machine learning methods., • Leverage behavioral, transactional, and marketplace data to optimize price points, discount strategies, and product bundling., • Develop tools to support scenario modeling, revenue forecasting, and price testing simulations.Experimentation & Testing, • Design A/B and multivariate experiments to test pricing changes, discount strategies, and offer configurations., • Analyze test results with statistical rigor, including significance testing, confidence intervals, and causal inference techniques., • Partner with experimentation platform owners to automate and scale pricing experiments across channels and customer segments.Insight Generation & Strategy Support, • Conduct in-depth analyses of customer willingness to pay, price sensitivity, and competitor pricing strategies., • Deliver insights on monetization opportunities, marketplace dynamics, and revenue optimization levers., • Partner with strategy and product teams to develop recommendations based on model outputs and empirical evidence.Cross-functional Collaboration, • Collaborate closely with Product Managers, Engineers, and Revenue teams to embed pricing intelligence into user experiences., • Translate complex technical findings into actionable business recommendations for stakeholders across the org., • Contribute to roadmap planning, strategic decision-making, and post-launch pricing reviews. What You BringRequired Qualifications • 5+ years of experience in data science, pricing analytics, or quantitative strategy roles., • Advanced proficiency in Python or R, SQL, and statistical modeling techniques., • Strong experience with A/B testing frameworks and causal inference methods (e.g., regression, matching, difference-in-differences)., • Solid understanding of pricing theory, elasticity modeling, and optimization.Skills & Attributes, • Excellent problem-solving and critical thinking skills; able to distill ambiguity into structured analyses., • Business-oriented mindset with the ability to prioritize impact and communicate clearly with non-technical audiences., • Self-starter with a passion for experimentation and continuous improvement.Preferred, • Degree in Data Science, Statistics, Economics, Applied Mathematics, or a related quantitative discipline (Master's or PhD preferred)., • Experience in a consumer-facing marketplace, e-commerce, or SaaS environment., • Familiarity with tools such as Looker, Amplitude, dbt, or in-house experimentation platforms. Why This Role Matters Your work will help define how we price, scale, and monetize our products. By bringing science and experimentation to our pricing approach, you'll directly impact revenue growth, customer satisfaction, and strategic decision-making. What We can Offer: • Flexible PTO, • Competitive salary & equity package, • Monthly Gametime credits for any event ($1,200/yr), • Medical, dental, & vision insurance, • Life insurance and disability benefits, • Diverse Family-forming benefits through Carrot Fertility, • 401k, HSA, pre-tax savings programs, • Company off-sites and meet-ups, • Wellness programs

Job Description Position Summary: The Economic Data Scientist will be part of the Economy, Strategy & Finance (ESF) Center of The Conference Board, contributing to the development and delivery of flagship economic data products, including global business cycle indicators and labor market analytics tools. The role will work across several ESF teams, particularly Global Indicators and Labor Markets, to support the Center's initiatives to enhance its industry-recognized indices and data products. The ideal Economic Data Scientist candidate brings a strong data science skillset, experience working with large, complex datasets, and applying statistical modeling. The Economic Data Scientist will use R, Python, and other tools to streamline data flows; apply predictive modeling and machine learning techniques to improve analytical capabilities; and help ideate new data products. They will work on ESF's core products, including The Conference Board's Consumer Confidence Index, Leading Economic Indicators, and Help Wanted OnLine its proprietary database of job postings. The role also supports ESF's insights creation for use by ESF's experts to generate written content, webcasts, and briefings for a business executive audience. Accountabilities: Lead projects to support data improvement initiatives across Global Indicators and Labor Markets teams, including the Leading Economic Indices, the Consumer Confidence Index, and the Help Wanted Online program, ensuring data quality, methodological rigor, and timely delivery. • Partner with Senior Economists to design and automate the processes behind ESF's data releases, aiming to improve efficiency and accuracy, while seeking ways to expand capabilities that enhance depth of products and insights., • Apply advanced statistical and machine learning techniques to enhance global indicators, business cycle tools, and forecasting products., • Support data infrastructure modernization, contributing to plans regarding server migration, data architecture design, and implementation., • Conduct data evaluation, including assessments of vendor datasets and external data sources, ensuring consistency, quality, and alignment with evolving product and research needs., • Communicate findings to Senior Economists, presenting a cohesive narrative through data sources, methodology, and visualizations., • Master's degree required in economics, data science, or related quantitative field., • This position is data-intensive and the candidate must have experience working in a data-intensive research environment with data analysis software (e.g., R, Python, SAS, SQL, Excel) to independently organize and manipulate large datasets, draw insights, and create visualizations. Experience with Tableau or other data visualization tools is preferred., • Prior experience with machine learning techniques and natural language processing methods such as sentiment analysis, is also preferred., • Knowledge of the US economy and the labor market is necessary., • Experience writing for non-academic audiences (i.e., business); strong writing, communication, and presentation skills are preferred.

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: $218,500.00 - $253,000.00) New York: $240,000 - $278,000 Responsibilities • Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications., • Conduct rigorous analysis and validation of machine learning algorithms and prototypes., • Explore novel methods for processing and analyzing large, complex medical imaging datasets., • Collaborate with engineering teams to deploy ML algorithms in clinical practice., • Present research findings, insights, and recommendations to internal stakeholders and external collaborators., • Author scientific publications and contribute to patent development., • Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ 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, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results., • Ability to translate complex clinical requirements into machine learning solutions., • Strong critical thinking, problem-solving, and project management skills., • 2+ years of postdoctoral research or industry experience., • Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques., • 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

Job Description Who We Are At Moxxi, we're redefining performance marketing with cutting-edge technology and a relentless focus on results. As a profitable, bootstrapped start-up, we are led by a team of industry veterans in performance marketing, ad tech, and digital publishing. Together, we're building the premier platform to incubate, scale, and optimize digitally born businesses, setting new standards for data-driven success. Our entrepreneurial team brings proven experience from both global corporations and fast-growing startups. We're passionate about delivering scalable, profitable outcomes for our partners through advanced profiling, targeting, and continuous optimization. Joining Moxxi means becoming part of a growing start-up in the heart of NYC, where you'll have the opportunity to accelerate your career, expand your skill set, and shape the future of performance marketing. The Role: We are seeking an experienced and business-savvy Senior Data Analyst to join our team. In this role, you will be a key partner to our product, engineering, operations and business teams, delivering actionable insights that drive strategic decisions. As Senior Data Analyst, you will report directly to the Chief Product Officer and co-founder, with a direct line into engineering. You will be responsible for diving deep into our vast array of data to understand user behavior and marketplace dynamics. In addition, you will build and maintain data pipelines and dashboards, influence strategy on how data models can drive value in the product, and more. The ideal candidate is a self-starter who is comfortable with the entire data lifecycle, from extraction and transformation to analysis, presentation and modeling. Responsibilities: • Partner with stakeholders across the company to understand their business needs and translate them into data-driven questions and analyses., • Design, build, and maintain scalable and reliable data pipelines and ETL/ELT processes to support our analytics needs., • Conduct in-depth analysis of large, complex datasets to identify trends, patterns, and opportunities for growth., • Develop and maintain statistical models to forecast key metrics and predict user or partner behavior and outcomes., • Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide visibility into business performance., • Partner with product and business teams to drive consensus on definitions and standardization of metrics., • Communicate findings and recommendations to both technical and non-technical audiences in a clear and concise manner., • Collaborate with product and engineering to apply statistical and machine learning concepts to solve business problems., • 5+ years of experience in a data analyst, business intelligence analyst, data scientist, or similar role., • Proven experience in designing, building, and maintaining data pipelines., • Strong proficiency in SQL and experience with at least one programming language for data analysis (e.g., Python, R)., • Experience with data visualization tools such as Looker, Tableau, Power BI, or similar., • Solid understanding of data warehousing concepts and ETL/ELT processes., • Familiarity with data science concepts and machine learning techniques., • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams., • Strong business acumen and the ability to translate data insights into actionable business recommendations., • Self-Starter – You take initiative and solve problems before they become problems., • Curious & Analytical – You ask why, dig deep into data, and experiment to learn what works., • Efficiency-Oriented – Fast, focused, and action-driven., • Relationship-Focused – You build trust and deliver value., • Organized Multitasker – You thrive in fast-paced, high-velocity environments., • Strategic Communicator – You translate performance into insight and insight into action. Salary Range: $125,000 - $145,000 Salary Range$175,000—$225,000 USD

Job Description 🚗 Why us? Your car and your home are the two most expensive things you’ll ever own — and the hardest to manage. At Jerry.ai, we’re building the first super app to help everyday Americans take control of both. From insurance and financing to repairs and real estate, we’re reimagining what it means to own and maintain your car and home. This is a $5 trillion+ problem — and we’re the only company tackling it end to end. 2024 was a milestone year for Jerry.ai. We delivered nearly 50% year-over-year revenue growth while reaching profitability for the first time in our history. And we're just getting started! Our growth is driven by forward-thinking technology; Harvard Business Review covered the success of our chatbot less than a year after its launch and Jerry.ai is getting mentioned in many conversations about our use of GenAI, such as this Forbes article. 💻 About the opportunity We are looking for a Staff Applied Data Scientist (PhD) who is energized by working with a high caliber team and making a material difference in the lives of millions to join us! Reporting directly to our cofounder/CTO, you will architect and deploy advanced ML models with massive real-world applications (e.g. model & predict user behavior, leverage LLMs and custom-built components to optimize our chatbot & voicebot, etc). Come play a key role in helping us grow from 5M to 50M customers and become a $10B company in the next 4 years! We have a fast-paced startup culture that empowers you to move quickly, test, iterate, and own projects end-to-end in an environment where your ideas matter and your impact is felt from day one. You’ll work with extremely talented and passionate engineers, data scientists, and analysts from companies like NVIDIA, Meta, Amazon, ByteDance, Square, Robinhood and more. 🫵 How you will make an impact * Develop and architect complex machine learning models to address critical business challenges and drive company-wide strategic initiatives * Take ownership of the end-to-end modeling process, from initial ideation to model deployment and maintenance * Conduct thorough data preparation and analysis to ensure the quality and relevance of input data for modeling tasks * Collaborate closely with cross-functional teams, including Product and Data Engineering to productize and deploy models into production systems * Contribute to large-scale company initiatives aimed at solving problems that haven’t yet been touched by anyone at Jerry.ai 🚀 Requirements * PhD in Physics or related field * 5+ years of experience building and deploying models from scratch. * Deep understanding of machine learning algorithms and techniques, with experience in building and deploying models from scratch. * Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical modeling solutions. * Passion for real-world application of machine learning, with a desire to make a significant impact on large-scale business initiatives. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $180K - $240K

Job Description Who you are: You enjoy building machine learning models and doing advanced statistical analyses. You enjoy combing through large data sets and finding patterns within the noise. You’re autonomous and able to acquire new skills to solve a problem. You’re always looking to innovate current processes and you get excited when tackling problems you haven’t seen before. You have a strong analytics and programming background and are ready to start applying this to the world of data science. What you’ll do: As an Associate Data Scientist you will work on building/evaluating learning models to predict core business results. You’ll derive impactful insights from data to drive intelligence for Unified and its clients. You will work with your fellow data science team members to define and scope data science solutions to solve complex problems. You will help build, improve, and test robust statistical and machine learning solutions that will drive impact throughout the organization. Need to have: * 2-5+ years experience building Machine Learning models * 2-5+ years advanced programming skills in Python * 1-2+ years LLM prompt engineering and RAG experience * Proficiency in SQL and knowledge of RDBMs like Postgres and Redshift * Experience with ETL processing and data wrangling including fetching, munging, cleaning, pivoting, analyzing, aggregating, distributing, and visualizing * Basic knowledge of statistics, algorithms, data structures, and machine learning Nice to have: * Experience with digital advertising technology * Experience with AWS * Experience with Spark and the big data ecosystem * Experience using Git and the Unix command-line * Familiarity with Airflow and Docker * Familiarity calling RESTful web services, specifically social APIs (Facebook, Twitter, LinkedIn, YouTube, etc.) * Familiarity with BI tools (Tableau, Sisense) * Bachelor’s or higher in a quantitative field About Us Unified stands at the forefront of empowering marketers to make informed and impactful decisions through our industry-exclusive business intelligence platform, purposefully designed for social advertising. With a wealth of experience in collecting and enriching over 3 billion dollars of social investment data, we are fervently committed to providing Fortune 2000 brands and agencies with greater transparency into their diverse teams, tools, and strategies. At the heart of our offerings is the Unified Platform and service teams, meticulously crafted to ensure data quality, optimize investments, and address critical business inquiries. As a leading provider of advertising services, Unified takes a comprehensive approach to paid social advertising, boasting a best-in-class team of digital experts utilizing purpose-built technology to deliver operational excellence and holistic insights across major social platforms. We firmly believe that the best marketing insights drive optimal performance, and at Unified, we seamlessly deliver both. With industry-leading media experts supported by robust data and technology, we have over a decade of experience in managed service partnerships with some of the world's largest brands, maintaining an unwavering focus on digital advertising services and technology. Our proprietary technology provides our internal team and customers with a strategic and holistic real-time view of their digital investments. Pioneering paid social over 11 years ago, Unified holds a unique position as one of the select partners with direct API access to major platforms such as Meta, X, Snapchat, Pinterest, YouTube, LinkedIn, TikTok, and Reddit. Join Unified as we continue to redefine the landscape of digital advertising through innovation, expertise, and cutting-edge technology.

Job Description Amalgamated Bank is seeking a Data Governance/Scientist to join the Information Technology Team that will play a crucial supporting role to the Data Governance team. This position will report to our Head of Governance and is expected to report in-office 3 days per week. By joining our team, you’ll be joining a Bank that believes that maintaining a diverse and inclusive workplace where everyone feels valued and respected is essential for us to grow as a company. We are dedicated to building a more equitable world in our everyday practices by embracing the values of our employees and customers. Essential Job Functions: Data Governance & Quality: • Develop and implement data governance frameworks, ensuring compliance with banking regulations., • Establish data quality metrics, validation rules, and anomaly detection to maintain data integrity., • Ensure adherence to GDPR, CCPA, GLBA, and other financial data regulations., • Utilize machine learning models and AI techniques to enhance data validation, detect fraud, and automate governance processes., • Perform advanced statistical analyses to optimize data management strategies., • Work closely with data engineers, IT, compliance officers, and executives to align data governance strategies with business goals., • Advocate for a data-driven culture, promoting best practices in data stewardship across the organization. Knowledge, Skills and Experience Requirements: Master’s degree in Data Science, Computer Science, Statistics, Finance, or a related field. • Proficiency in SQL, Python, or R for data analysis and governance automation., • Experience with data governance tools (Unity Catalog, Purview, or others)., • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and database management., • Strong problem-solving skills with the ability to interpret complex data governance requirements., • Excellent communication skills to collaborate across departments and explain data policies to stakeholders. Preferred Qualifications: • Experience in banking or financial services data governance., • Understanding of risk management and compliance frameworks in finance., • Certifications such as CDMP (Certified Data Management Professional) or DAMA are a plus. Our job titles may span more than one career level. The starting base salary for this role is between $155,000.00 – $170,000.00. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. Amalgamated Bank is an Equal Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View our Pay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas. Hybrid Work Model Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as “remote”. Search Firm Representatives- Please Read Carefully Amalgamated Bank does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for the position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Job Description SENIOR DATA SCIENTIST DART PROGRAM POSTED:9/3/2025 ABOUT CJA 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 one roof. CJA utilizes procedural justice practices to provide pretrial services to over 100,000 arrested annually in New York City. Information collected about these arrestees and subsequent case processing is maintained in the agency's internal and externally shared database systems, which are used to conduct descriptive and evaluation research on arrestee characteristics, case processing and court outcomes, and on issues and potential reforms to criminal justice policy in New York City. CJA's programs operate in the criminal courts and detention facilities 24 hours a day seven days a week within the 5 boroughs of NYC, employing over 300 employees, citywide. PROGRAM SUMMARY DART – We lead research and analytics that turn CJA's unparalleled justice system data into insights that drive policy and practice. Drawing on over 100,000 annual face-to-face interviews and comprehensive data feeds from police, courts, and corrections, we analyze complex trends, evaluate emerging policies, and apply causal techniques to assess the impact of policy and applied interventions. Through rigorous analysis, compelling visualizations, and impactful publications, we illuminate the workings of New York City's justice system and advance new lines of inquiry to shape a fairer, more effective system. POSITION SUMMARY As a Senior Data Scientist, you will deliver advanced analytics that drive policy and practice. You'll combine expertise in causal inference—including RCTs and quasi-experimental methods—with policy relevant data analysis, predictive modeling, and modern machine learning techniques. You'll collaborate with DART and IT staff to build pipelines and scalable workflows, conduct exploratory and statistical analyses, and translate complex findings into intuitive and actionable products—policy briefs, interactive dashboards, and applied ML tools. You'll collaborate with a supportive team to drive projects from scoping through delivery. PRIMARY RESPONSIBILITIES • Analytics & Data Science – Conduct exploratory data analysis and build descriptive and predictive models to support policy and practice. Create reproducible workflows in Python, R, and SQL, and maintain well-documented Jupyter Notebooks. Develop dashboards, visualizations, and data tools to make analyses accessible to technical and non-technical stakeholders., • Causal Research & Evaluation – Design and oversee rigorous causal studies, including RCTs and quasi-experimental designs. Define evaluation frameworks, identify appropriate counterfactuals, and ensure methodological rigor in estimating policy and operational impacts. Conduct power and sample size calculations to optimize the design of RCTs and quasi-experimental studies. Translate findings from causal analyses into actionable recommendations that inform policy and practice., • Research Dissemination and Communication – Deliver policy briefs, presentations, and interactive dashboards that translate complex findings into actionable, decision-ready evidence., • Partner with city agencies, nonprofits, and justice system stakeholders to scope projects and align research with operational needs. Support public and stakeholder engagement by presenting results at conferences, policy forums, and cross-agency working groups. QUALIFICATIONS • Experience: 5+ years of experience in applied data science, analytics, or research roles, ideally in policy or civic tech. A strong portfolio of self-directed analytic work is expected. Experience in the justice system is a plus., • Education: A postgraduate degree (Master's or PhD) in statistics, economics, data science, computational social science, or a related quantitative field., • Technical Expertise: • Strong proficiency in Python or R for data manipulation, analysis, and modeling (Python preferred)., • Experience conducting causal inference and advanced econometric analyses, including RCTs, DiD, IV, ITS, matching, and synthetic control., • Advanced statistical techniques and modern machine learning methods for predictive modeling., • Experience working with relational databases (e.g. Microsoft SQL, PostgreSQL) and writing complex SQL queries., • Expertise in data wrangling and cleaning, including handling messy, incomplete, or complex administrative datasets, • Proven ability to translate complex analyses into clear, actionable insights for technical and non-technical stakeholders., • Experience integrating external data from APIs and common data formats like JSON, CSV, and Parquet, • Strong data storytelling skills, with experience creating or supporting compelling visualizations, dashboards, and policy briefs., • Proficiency with Jupyter Notebooks for data exploration, analysis, and presentation of results., • Familiarity with building reproducible pipelines and version-controlled workflows (Git/GitHub, CI/CD). • Problem-solving skills: Ability to multitask and adapt to a fast-paced environment working with urgency on requests/situations that require a quick turnaround. Work collaboratively to identify and troubleshoot technical problems and find solutions., • Proven ability to collaborate with complex stakeholder relationships as well as technical and nontechnical staff., • Exceptional communication skills: A positive attitude and a customer-oriented approach are required as well as the ability to communicate clearly and effectively at all organizational levels and with stakeholders that are both highly technical and non-technical., • Problem-solving skills: Ability to multitask and adapt to a fast-paced environment working with urgency on requests/situations that require a quick turnaround. Work collaboratively to identify and troubleshoot technical problems and find solutions. HOURS: Hybrid work schedule- 3 days a week in office/2 days work from home SALARY: Up to $140K yearly *Internal applicants must be 1 year in their current roles and in good standing (no disciplinary action within the last 90 days) to apply. BENEFITS: CJA offers a very generous benefit plan including health, dental and vision insurance, a comprehensive mental health and wellness (EAP) plan, four weeks' vacation, paid holidays and a retirement plan with employer matching contributions. CJA is also strongly committed to professional learning and development for its staff members and offers staff varied opportunities for learning and development through partnerships and vendor services for web based, in-person professional development training, as well as in-house job training and development. Only those candidates being considered will be contacted. CJA is seeking applicants who pursue professional development pathways by participating in educational opportunities, reading professional publications, maintaining professional networks, and engaging with professional associations The New York City Criminal Justice Agency is an Equal Opportunity Employer CJA is committed to creating a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, national origin, sex, gender identity, religion, sexual orientation, age, disability, parental status, veteran status, or any other protected status under applicable laws. We encourage individuals of all backgrounds to apply.

Job Description About Us Applecart is the leading technology company creating a new category of "Decision Maker Marketing". The most important decisions are made by the hardest people to reach and influence. Historically, C-suite leaders have lacked the tools to reach the stakeholders that matter most to their business. The C-suites of hundreds of Fortune 500 companies, major agencies, trade associations, nonprofits, and governments use Applecart to put their best content in front of business-critical decision makers and those they trust — from policymakers and investors to CEOs, key employees, members of the media and more. Decision makers are informed by what they read, learn from advisors, hear from colleagues, and discuss with family and friends. To break through to them, you must reach them through the only channel that really moves them: those they know and trust. Applecart's platform uses publicly available or fully permissioned data to map billions of social relationships between nearly every American adult and enable clients to deliver content directly to decision makers and those that matter most to them. We are hiring a Principal Data Scientist in our NYC office. About the Role: As a Principal Data Scientist on the Research and Insights team, you will collaborate with the VP of Data Science. Your primary focus will be on developing audience measurement metrics for programmatic advertising and social channels, contributing to Applecart's software platform for targeting, advertising, and evaluating the impact of campaigns. Key responsibilities include building and modeling audience measurement metrics, implementing research for crossplatform audience measurement and predictive products using campaign logs and audience data to optimize audience construction. What You'll Do • Develop and implement audience measurement metrics using machine learning algorithms, survey data, publicly available data, and experiments., • Design, develop, and deploy advanced statistical models to enhance advertising campaign measurement, planning, and targeting accuracy., • Lead the design and implementation of survey based approaches to build audience measurement metrics., • Communicate analytical concepts and results clearly to stakeholders., • Ensure data integrity and accuracy through rigorous model testing and validation., • Degree in a quantitative discipline (e.g., mathematics, statistics, computer science). An advanced degree is preferred but not required., • Deep understanding of machine learning, statistics, and data science., • 7+ years of experience in data science and/or modeling., • 7+ years in digital advertising., • Proficiency in Python (or R) and SQL., • Familiarity with survey research for audience measurement., • Strong experience in Spark is preferred., • Expertise in data wrangling and debugging machine learning systems., • Team-oriented, pragmatic, and able to build rapport., • Strong communication, writing, and critical thinking skills., • Experience in mentoring in data science, analytics, and predictive modeling. Compensation: Our compensation package consists of three components: (i) a base salary, (ii) annual cash bonus, and (iii) generous equity compensation. The base salary range for this role is between $175,000-225,000, based on the candidate's experience and skills relative to the requirements listed above. The salary range provided is exclusive of discretionary annual cash bonus and equity compensation. The salary range provided for this role is specific to candidates located in the New York City area. A few facts about us: • Applecart's platform has been used by hundreds of industry-leading clients spanning Fortune 500 companies like Blackstone and Intuit, leading nonprofit organizations like the Environmental Defense Fund, and top-tier advertising and communications agencies like Teneo, FGS, Weber Shandwick, and OMD., • Applecart is growing quickly — over the last 3 years, we've increased our bookings by 8X, grown our headcount by 4X, and we're cashflow positive., • Our senior leadership team includes two members of the Forbes 30 under 30 list for Marketing and Advertising, the former Head of Product at Moat, Oracle's online ad measurement platform, a former senior White House advisor, early sales and talent leaders from Google and Twitter, two of the Democratic Party's most successful pollsters and strategists, a former CRO of a high-growth tech company with hundreds of millions in ARR, and alums of top-tier organizations like Bain, Amazon and Simpson Thacher., • Our investors include Bain & Company, global sports, entertainment and marketing giant Endeavor, KKR Co-Founder Henry Kravis, entrepreneur Chris Burch, a founder of Palantir, senior engineering leaders at Twitter and Yelp, former Fortune 50 and advertising agency CEOs, and a number of well-known venture capitalists. Ari Emanuel, Executive Chairman of WME, and Jennifer Fonstad, Owl Capital Managing Partner, serve on our board., • Our work has been featured on Morning Joe on MSNBC, BloombergTV and The Colbert Report, and in Axios, BusinessWeek, the Associated Press, Forbes, the Washington Post, and Politico, among many others.

Machine Learning Research Scientist / Research Engineer, Post-Training.Scale works with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research.We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF,

AWS or GCP) and developing machine learning models in a cloud environment. You'll also receive benefits including health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. We are trusted by OpenAI, Meta, Microsoft, government agencies such as the

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

As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. Exp

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 the Role We are a data science-driven special investigations unit that uses data across employers, insurers, and contractors to prevent fraud in the insurance space, with a focus on workers' compensation and personal injury fraud. We're building smarter, more predictive systems that will shape the future of fraud detection in blue-collar industries. What We're Looking For We need a talented Data Scientist to work at the intersection of data and engineering, applying statistical analysis, machine learning, and thoughtful experimentation to uncover fraud and assess labor risk. You should have a strong problem-solving mindset and excellent communication skills. What You'll Do • Design and implement statistical models and machine learning algorithms to detect fraudulent patterns., • Analyze large-scale datasets to derive actionable insights for internal and customer-facing applications., • Work cross-functionally with leadership, engineering, and users to align data initiatives with business goals., • Collaborate closely with engineering and product teams to bring data science solutions into production., • 1 - 5 years of experience working on data science projects in fraud/risk modeling, cybersecurity, or machine learning., • Salary: $120k - $160k, • Equity: 0.25% - 0.5%, • Visa sponsorship is not available for this role. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team! Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others: * Built In's 2025 Best Places to Work For In New York City * Built In’s 2024 & 2025 Best Startups to Work For In the U.S. * Built In’s 2023 - 2025 Best Startups to Work For In New York City * Fast Company’s Most Innovative Companies of 2022 * Business Insider’s Most Promising Consumer Startups 2022 * Forbes Fintech 50 2022 Role Overview: As a Data Scientist on our team you’ll be responsible for building/improving/maintaining the most important models which focus on this: * Identifying credit risk for our customers so that we can help more people in need when they need it * Optimizing our marketing spend by predicting LTV for our customers * Helping us reduce our overall churn by predicting customer churn and improving retention We have access to rich, structured data that we can use to derive insights and build complex models. In addition to supporting broad analytics use cases when needed, you will work closely with our Product and Engineering teams. What you’ll be doing: * Build, test and roll out new underwriting and risk models to understand the risk of our customer base and improve access for our prospective customers by allowing us to take more calculated risks. * You’ll have ownership of the full modeling lifecycle and get to carry your changes all the way through to our decision process, getting to realize every bit of impact along the way. * Build, test and roll out other customer related models (such as Churn propensity and LTV prediction) which help us analyze and optimize our marketing and retention efforts. * Monitor the performance of the models in production and take appropriate actions when necessary * Analyze how our customer base is shifting as we grow and pinpoint areas we can improve. * Help our existing engineering and business teams track their goals, supporting the BI function from time to time to time with ad-hoc data analytics What you have: * Advanced degree in data science, statistics, computer science, or related field. * 5+ years of experience doing data science (modeling + analysis) * Proficiency in Python and in-depth understanding of SQL * Competent in machine learning principles and techniques * Experience in python, using industry standard modeling toolkits like sklearn, jupyterlab, pandas, matplotlib, statsmodels, etc. * Experience in writing complex SQL queries and the ability to put together multiple data sources together * Ability to get the train data, train the model, do hyper parameter tuning, perform validation, run the A/B test, do performance monitoring and model monitoring * Experience building classification and prediction models, testing them in a startup environment and iterating to improve their models. * Ability to work effectively and communicate ideas/code clearly in a cross functional team environment (Engineering, Product and Business teams) * ML model deployment in production experience is a plus * Technical presentation skills is a plus * Experience working in B2C, marketplace, lending, or subscription oriented business is a plus The anticipated annual base salary for this position is $155,000 - $210,000. This range does not include any other compensation components or other benefits for which an individual may be eligible. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Our Benefits & Team * Medical, dental, and vision insurance * Flexible PTO Policy * 401k plan * Paid Parental Leave * Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support * Monthly reimbursements to use against wifi and cell phone bills * Annual reimbursement for Learning & Development * Help hard working Americans build a brighter financial future * High-growth company at an early stage * A dynamic, flexible and collaborative start-up work environment with a highly talented team Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email .

Job Description Machine Learning Researcher / Data Scientist Global Investment Firm J Harlan Group is currently conducting a search for a Machine Learning Researcher / Data Scientist at a prominent Global Investment Firm in NYC. Machine learning researchers at the firm create novel machine learning approaches to financial applications. They utilize their creativity and innovation to help the firm trade profitably in markets around the globe. All types of learning and AI, including deep learning and statistical learning, are potentially relevant. You'll work with smart, talented people across their business to create groundbreaking, next-generation data intensive machine learning applications. You'll be involved, hands-on, through the entire cycle. They will expect you to be agile / to lead / to think outside the box. In return, they'll give you challenging work that has an impact / Opportunities to learn and grow / and a collaborative culture that encourages every member of our team to bring their point of view to the table—because that's how we help our clients succeed. Principal Responsibilities: The team is tasked with building next generation of advanced statistical and machine learning methods to produce models and prescriptive data that result in better decisions by their Portfolio Managers, Analysts, and Traders, Quants and / or applications. Specific responsibilities include designing, implementing, testing experimentally and scaling up new models for forecasting asset prices, developing new tradeable signals, and other financial applications. The ideal candidate would have a background and a deep passion for working with machine learning techniques within the investment community. • Strong computer science and technical background with exceptionally, creative “Hands-On” High Impact Machine Learning Research and Applications experience - All types of learning and AI, including deep learning and statistical learning, are potentially relevant., • Experience and a high level of interest in financial markets (with prior experience a big plus) – candidates from both industry and academia with broad experience across multiple fields of Machine Learning is a plus., • Ability to work in an open collaborative and highly charged investment environment., • Strong desire to contribute and build a business – not just solve novel problems. About the Client: The firm is a prominent multinational investment management firm. The company manages a variety of investment funds that make extensive use of quantitative methods and proprietary computational technology to support fundamental research in the management of its investments. They have a relentlessly focuses on innovation and integration: innovation in new products, markets and businesses as well as new tools, models and technology management and performance structures; integration of fundamental research, quantitative strategies and technical analysis, all supported by an intensive focus on operational excellence and comprehensive risk management. The talent and dedication of their people is critical to their success. They offer an opportunity for developing one's professional career while working with individuals trained in a variety of disciplines in a collegial and dynamic environment. They offer a broad range of competitive benefits on a global basis. They seek candidates who are high-energy self-starters who want to join an investment management firm on the leading edge of the global markets. The management team needs individuals of the highest professional caliber who are leaders, problem solvers, analytic, detail-oriented, and entrepreneurial. Everyone at the firm works side-by-side with the firm's senior management in a highly collaborative and charged environment. Successful candidates are: • Analytic and relentless in pursuit of the right answer, • Strong communicators who excel at rapid synthesis, • Able to demonstrate sound business judgment, • Able to digest complexity while maintaining an understanding of the “big picture” of business needs, • Team players who are energized by a collaborative enterprise The firm's employees maintain the highest professional and ethical standards. The firm has earned a reputation for honesty, fair dealing, and transparency in a competitive industry. They believe that these standards are the foundation for superior investment performance and are critical to delivering performance to clients

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 DescriptionFounded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. Its open-source technology is trusted by over 20,000 organizations worldwide - including more than half of the Fortune 500 - H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Singtel, Chipotle, Workday, Progressive Insurance, and NIH. H2O.ai partners include Dell Technologies, Deloitte, Ernst & Young (EY), NVIDIA, Snowflake, AWS, Google Cloud Platform (GCP) and VAST. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users. H2O.ai has raised $256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life. About This Opportunity Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is “yes”, then we are looking for you! This position is based in New York, NY and open to candidates in Boston, MA; and the Washington, D.C. area. What You Will Do • Deliver data science and/or machine learning professional services to the customers. This will entail working closely with cross-functional teams to gather requirements, preprocess, and analyze data to develop data-driven solutions., • Support customers by helping to build custom data models, transformation, scorers/optimization loss functions/metrics that can be leveraged with H2O Driverless AI and help improve training performance for the customer use cases/domains., • Ability to design and run training sessions for our customers in data science concepts as well as using H2O products. Training will need to be able to be delivered to audiences with varying data science skills and abilities., • Help customers understand the nuances of data science, expert settings of H2O Driverless AI and H2O open source, and the strategies of experiment tuning that you would use to incrementally improve model performance. This also includes explaining model performance, model interpretability, and post deployment model monitoring concepts so as to ensure the business is making the right decisions on the model predictions., • Participate in the development of ML solutions and AI applications for internal use, contributing to the advancement of our technology stack.What We Are Looking For, • Proven experience in software engineering, data science, machine learning, and AI with a minimum of 2 years of professional hands-on experience., • Knowledge and experience of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques., • Knowledge and experience of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications., • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc., • Solid understanding of machine learning algorithms and experience applying Gen AI/ML to solve real work problems, including deployment of end to end ML pipelines, • Interest in Generative AI and Large Language Models (Prompt Engineering, Retrieval Augmented Generation, LLMOps, Making custom LLM models, fine tuning etc, Guardrails), • Strong problem-solving skills and the ability to work independently and as part of a team., • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.How To Stand Out from the Crowd, • Experience with solving machine learning problems using H2O products , Python, R., • Experience of visualizing and presenting (EDA) to stakeholders using H2O Wave, or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBi., • Understanding and experience with post production model monitoring concepts and tools like H2O ML Ops MLFlow etc.Why H2O.ai?, • Market Leader in Total Rewards, • Remote-Friendly Culture, • Flexible working environment, • Be part of a world-class team, • Career Growth, • Salary range: $150,000 - 200,000 +H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status or any other legally protected basis. H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence. H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose. Please visit to learn more. #LI-Hybrid Powered by JazzHR fxUNqxPx8q

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Senior Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Serve as a resource for creating AI agents and RAG databases to solve problems. Develop AI Agent tools to automate the retrieval, wrangling, and analysis of data., • Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources., • Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions., • Collaborate with customers and key stakeholders on initiating ideas, performing design, analysis, and process improvement., • Develop and deploy AI and ML solutions on Google Cloud Platform., • Utilize massive data sources to craft business insights and features for innovative solutions., • 6+ years of overall experience, 4+ years working as a GenAI Data Scientist., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Machine learning and deep learning fundamentals, natural language processing (NLP), cloud computing, multi-agent systems understanding, data analysis, programming proficiency, and a grasp of ethical considerations in AI development., • Experience with agents frameworks (preferably Langchain)., • Experience with Prompt engineering- Chatbots and virtual assistants, Image generation etc., • Experience with proprietary and/or open source LLMs., • Experience in prompt engineering. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job Description Data Scientist (Risk Intelligence) Location: Onsite New York, NY (5 days/week) Position Type: Full-Time (Permanent) Work Policy: In-person only (Relocation stipend available; visa sponsorship available) Start Timeline: ASAP About This is a foundational data science hire within the Risk & Underwriting team. The Data Scientist will focus on developing and productionizing underwriting models, building risk dashboards, and driving portfolio analytics to support scaling of credit offerings while maintaining strong portfolio performance. Why join * Join a high-impact role as one of the first data science hires in a fintech startup * Build risk intelligence systems powering credit decisions for e-commerce businesses * Collaborate closely with underwriting and product teams in a fast-paced, high-output environment * Opportunity to expand scope into broader intelligence/AI functions over time * Relocation stipend and visa sponsorship available for exceptional candidates Compensation * Base Salary: $140,000 - $170,000 (flexible for senior candidates) * Equity: 0.05% - 0.10% Tech environment * Languages: SQL, Python (or R) * Tools: Hex, Looker, Mode, Metabase * Focus areas: Underwriting models, credit risk analytics, portfolio monitoring, dashboards Role summary The Data Scientist will partner with underwriting to design, implement, and optimize credit risk models, monitoring tools, and automation workflows. The role requires a mix of strong technical skills, financial acumen, and the ability to operate as a generalist in a lean startup environment. Responsibilities * Build dashboards, monitoring tools, and risk models * Automate underwriting and credit assessment workflows * Conduct back-testing and model tuning * Collaborate with underwriting to translate business needs into quantitative insights * Expand scope to broader intelligence/AI functions as the company grows Must-have qualifications * 4+ years of experience in data science, preferably in credit, underwriting, or financial services * Proficiency in SQL and Python (or R) * Strong background in statistics, machine learning, and data modeling * Experience with dashboards and data visualization tools (e.g., Hex, Looker, Mode, Metabase) * Strong communication skills and ability to operate in a generalist startup environment * Ability to work onsite in NYC 5 days/week (relocation possible) Preferred qualifications * Experience in e-commerce lending or fintech startups with lending products * Exposure to both fintech and traditional banking environments * Understanding of financial KPIs and ecommerce/fintech datasets * Experience working closely with credit/risk or lending teams * Signals of excellence such as: * Prior experience building end-to-end solutions (side projects, startups, internal tools) * Past founder or community-building experience * Roles with high ownership or multiple hats * Experience in high-output environments such as Cash App, Square, or other top fintechs Additional desired experience * Willingness to work long hours as needed in person in San Francisco * Experience with Docker, Kubernetes, and Terraform * Experience building for scale, ideally at companies where products are self-hosted by customers * Experience with hyperscalers (AWS, GCP, Azure), with a preference for multi-cloud experience * 5+ years of experience as a DevOps or Infrastructure Engineer * Ability to work closely with customers, demonstrating patience and friendliness * High attention to detail * High agency and strong propensity to learn * B.S. in Computer Science or equivalent degree, undergraduate or higher * Experience at Series B+ stage companies or later, or smaller companies with very large-scale products * Experience with Linux systems is a plus * Strong background in computer networking