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Job DescriptionCurrently Hiring - Asbestos Project Monitor!Job Description The Environmental Scientist will manage a variety of tasks including conducting environmental investigations and assessments, ensuring regulatory compliance, and overseeing asbestos and lead paint inspections and remediation. The role also involves field monitoring of abatement projects in accordance with federal, state, and local regulations, performing XRF testing, and recording data. Providing technical support and writing reports are also integral aspects of this position. Responsibilities • Conduct environmental investigations and assessments., • Ensure regulatory compliance for environmental projects., • Perform asbestos and lead paint inspections and remediation oversight., • Monitor abatement projects in compliance with regulations., • Provide technical support for environmental projects., • Write detailed reports on environmental findings.Essential Skills, • Bachelor’s degree in Environmental Science or a related field., • 5+ years of experience in Environmental Science., • NYSDOL Asbestos Inspector Certification., • Asbestos Project Monitor Certification., • Experience with air monitoring., • OSHA 40 Hazwoper Certification., • Experience in environmental remediation., • Proficiency in report writing.Additional Skills & Qualifications, • Air Sampling Technician certification. Medical Insurance (including prescription drug coverage) Dental Insurance Vision Plan Life Insurance and Accidental Death & Dismemberment Supplemental Life Insurance Short-Term and Long-Term Disability Accident and Critical Illness Insurance Pet Insurance Workplace Type This is a fully onsite position in New York,NY. Application Deadline This position is anticipated to close on Aug 31, 2025. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email for other accommodation options.

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 Summary: The Histotechnician performs a variety of routine and complex histological procedures to prepare tissue specimens for microscopic examination by a pathologist or scientist. This position requires a higher level of skill and independence, with responsibilities including advanced staining techniques, troubleshooting, and participation in quality control activities. Responsibilities: • Processes a wide variety of tissue specimens, including complex cases, ensuring proper fixation, processing, and embedding., • Performs routine and advanced microtomy techniques, including cutting various tissue types and troubleshooting cutting artifacts., • Performs routine Hematoxylin and Eosin (H&E) staining, as well as a range of special stains according to established protocols., • Prepares and maintains laboratory solutions, reagents, and stains, following established formulas and procedures., • Performs and documents routine and preventative maintenance on histology laboratory equipment, including microtomes, processors, and stainers., • Identifies and troubleshoots common technical problems related to tissue processing, embedding, microtomy, and staining, taking appropriate corrective actions., • Participates actively in the laboratory's quality assurance and quality control programs, including monitoring control slides and documenting any deviations., • Assists in the training and orientation of new Histotechnician I staff and histology trainees., • Manages the inventory of histology supplies and reagents, ensuring adequate stock levels and may be responsible for ordering supplies as needed., • Accurately enters and retrieves data from the laboratory information system (LIS) for specimen tracking, test results, and quality control records., • Files and retrieves tissue blocks and slides according to laboratory procedures., • Adheres to all laboratory safety policies and procedures, including the proper handling and disposal of hazardous materials., • May assist pathologists with gross examination and frozen section procedures., • Minimum of 3-5 years of experience working as a histotechnician in a laboratory setting, with demonstrated proficiency in routine and special staining techniques., • Strong knowledge of histology principles, techniques, and laboratory procedures., • Demonstrated ability to troubleshoot technical issues and perform quality control procedures., • Proficiency in operating and maintaining histology laboratory equipment., • Experience with laboratory information systems (LIS)., • Excellent attention to detail, manual dexterity, and organizational skills., • Strong communication and interpersonal skills, with the ability to work effectively as part of a team., • Ability to stand and sit for extended periods., • Excellent fine motor skills and hand-eye coordination for precise specimen handling and equipment operation., • Ability to lift and carry up to 25 pounds occasionally., • Normal or corrected vision, including color vision, to accurately assess tissue samples and staining quality.Benefits, • 100% coverage on employee health, vision and dental insurance, • Flexible Spending Accounts (FSA), • Retirement planning (401k), • Team building events outside of the office, • Strong compensation package JKGRMx8dF9

Job Description Are you an experienced Data Scientist with experience of LLM / NLP? Are you passionate about leveraging automation and AI/ML to drive business value? We have a unique opportunity for hands-on a hands-on Data Scientists with NLP/Gen AI/LLM to advance their careers and apply their technical expertise in NLP, deep learning, GenAI, and LLMs. Join us in conducting cutting-edge applied research and making a significant impact across multiple stakeholders. Responsibilities and Impact ML, Gen AI, NLP, LLM Model Development: • Design and develop custom ML, Gen AI, NLP, and LLM models for batch and stream processing-based AI/ML pipelines., • Work on data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning, and prompt engineering., • Collaborate with data science, MLOps, and technology teams to ensure solutions meet all technical and business requirements. ML, NLP, LLM Model Evaluation: • Develop, validate, and maintain robust evaluation solutions and tools to assess model performance, accuracy, consistency, and reliability., • Implement model optimizations to enhance system efficiency. NLP, LLM, Gen AI Model Deployment: • Partner with the MLOps team to deploy machine learning models into production environments, ensuring reliability and scalability. Internal Collaboration: • Work closely with product teams, business stakeholders, MLOps, machine learning engineers, and software engineers to integrate machine learning models smoothly into production systems. Experience Required: • Bachelor's, Masters, or Ph.D. degree in Computer Science, Mathematics, Statistics, Computational Linguistics, Engineering, or a related field., • 8+ years of professional hands-on experience with large sets of structured and unstructured data to develop data-driven analytics and insights using ML, RAG, and NLP., • 3+ years of hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in Python programming., • 3+ years of experience developing NLP models, ideally with transformer architectures., • 3+ years of experience implementing information search and retrieval at scale, using solutions ranging from keyword search to semantic search using embeddings., • Knowledge and hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI)., • Experienced with NLP, LLMs (extractive and generative), fine-tuning, and LLM model development. Strong familiarity with trends in LLMs and open-source platforms. This role is hybrid and requires you being able to attend the Colorado office, other offices available are NJ, NY, Toronto and VA. The position will pay between $150k-$220k depending on experience. Send your resume now

Job DescriptionCompany Description Order.co is a B2B Ecommerce Platform that simplifies purchasing. Our strength has always been our unique edge: transforming how businesses connect with vendors through our marketplace. We're not just improving workflows - we're redefining how procurement, operations, accounting, and payments come together to drive efficiency and innovation. Every step - requisition, approval, payment, and reconciliation - is curated and automated to make purchasing across all your vendors, locations and teams as easy as purchasing for your personal lives. Founded in 2016 and headquartered in New York City, Order.co oversees nearly half a billion dollars in annualized spend across hundreds of customers like WeWork, SoulCycle, and Lume. Order.co has raised $70M+ in funding from industry-leading investors like MIT, Stage 2 Capital, Rally Ventures, 645 Ventures, and more. Order.co has been proudly named as a 50 to Watch by Spend Matters and a Best Place to Work by BuiltIn. Job Description We’re looking for a Staff/Principal Level Data Scientist with strong foundations in mathematics and statistics as well as hands-on experience with cutting-edge AI tools to lead transformative data initiatives in the B2B e-commerce space. This role demands previous hands-on experience in Generative and Agentic AI and a deep understanding of neural networks, RAG architecture, and transformer technologies. This role will not only be responsible for technical delivery but also will be accountable for driving business growth through data-driven innovation. Staff/Principal level Data Scientists are expected to identify and develop technology solutions to company level objectives, make business cases to secure resources, and successfully launch and scale production projects. Impact should be measured at company level primary KPIs. Key Responsibilities * Develop and deploy advanced statistical models and machine learning solutions to improve B2B customer experience, pricing optimization, and personalization * Work hand-in-hand with the head of data to design and integrate Generative AI and Agentic AI technologies to automate and augment internal and external workflows such as product recommendations, order fulfillment, and customer support * Build scalable, end-to-end machine learning pipelines (currently using AWS SageMaker and other AWS services) tailored to high-volume transaction environments * Translate sophisticated analytical insights into strategic business recommendations, with a track record of collaborating across teams to implement solutions effectively * Design and implement complex stochastic and ensemble models to improve operations and business performance in a variety of functional areas * Take action in situations without clear data precedent, balancing the need for academic rigor with a MVP mindset and ability to iteratively deliver DS/AI Models into production * Drive experimentation frameworks and A/B testing to validate hypotheses and measure the impact of AI-driven initiatives on revenue and customer retention * Mentor and guide data scientists, fostering a culture of innovation and rigorous quantitative analysis * Evaluate and incorporate emerging AI technologies and tools to maintain a competitive edge in the fast-evolving B2B and e-commerce landscape Qualifications * Advanced degree (PhD or MS) in Mathematics, Statistics, Data Science, Computer Science, or related quantitative discipline * 8+ years of professional experience applying statistical modeling and machine learning in B2B or e-commerce settings * Deep expertise in mathematical statistics, causal inference, and experimental design to inform complex business decisions * Proven track record of connecting technical work to measurable business results with a focus on revenue growth, customer acquisition, and operational efficiency * Comfort with a relatively even split between opportunity identification and hands-on-keyboard execution * Proven ability to quickly test and iterate between candidate models with an eye to deploying the right solution that minimizes time to delivery while maximizing the needed performance and reliability metrics * Proficient in Python and relevant AI/ML frameworks such as PyTorch, TensorFlow, HuggingFace, and LangChain * Practical experience with AWS SageMaker and deploying models in cloud environments optimized for scale and reliability * At least 1+ year of hands-on familiarity with Generative AI (e.g., LLMs, diffusion models) and Agentic AI systems tailored for internal and/or customer-facing applications * Strong communication skills with experience collaborating with sales, marketing, product, operations, and engineering teams to drive business impact * Experience with vector search databases, RAG systems, and AI orchestration for personalized content and recommendation engines Additional Information What you'll receive • You'll be at the forefront of AI innovation powering scalable B2B commerce and next-generation e-commerce experiences, • The chance to collaborate with a passionate, cross-disciplinary team dedicated to driving measurable business outcomes, • A competitive compensation package including equity and comprehensive benefits, • Flexible time off and remote work policies, • Medical, dental, vision, and 401(k) with match Order.co is an equal-opportunity employer. Applicant's qualifications are considered without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, veteran status, genetic information, or any other basis prohibited by law.

Job Description Are you an experienced AI Solutions Architect? Are you looking to build the architecture in which AI and ML services can be deployed for real-world change? Join our AI ML team to drive AI advancements and enhance our products and services. You'll work with experts in AI ML modeling, ML engineering, data science, and data engineering. Key Responsibilities: • AI Architecture Strategy: Develop and implement AI architecture strategies, best practices, and standards., • ML Architecture Design: Design and develop custom AI architectures for batch and stream processing-based AI ML pipelines., • Collaboration: Work closely with data scientists, ML engineers, and software engineers to integrate ML models into production., • Stakeholder Engagement: Collaborate with business and PM stakeholders to align technical milestones with business requirements., • Infrastructure Design: Oversee the design of scalable and reliable AI, ML, GenAI, and LLM model training and deployment infrastructure., • Model Deployment: Lead the deployment of GenAI, LLM, and ML models in production environments., • Monitoring Systems: Design robust monitoring systems for model performance, data quality, and infrastructure., • Security and Compliance: Implement security measures and compliance standards., • Documentation: Maintain comprehensive documentation of AI processes and procedures., • Standards and Best Practices: Ensure adherence to standards, governance, and best practices in AI pipeline and ML model monitoring., • Problem Solving: Troubleshoot complex issues related to ML model deployments and data pipelines., • Thought Leadership: Influence technical strategy and executive-level decisions., • System Scaling: Build and scale production-ready AI systems for long-term business impact., • Presentation Skills: Convey technical concepts to non-technical stakeholders., • Adaptability: Communicate effectively with various audiences, from engineers to executive leadership., • Passion for AI: Stay ahead of AI trends and leverage emerging technologies., • Strategic Thinking: Demonstrate technical and business acumen and problem-solving skills. Experience Required: • Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • 8+ years of experience as an ML engineer, architect, or lead data scientist in Big Data or cloud platforms., • 4+ years of experience in ML architecture design and implementation for large-scale enterprise AI solutions., • Proven success in collaborating with business, product, and PM stakeholders., • Experience with Agile frameworks and delivery methods., • Expertise in designing complex data-driven architectures for distributed computing and orchestration technology., • Proficiency with public cloud platforms (AWS, GCP, Azure) and AI/ML technologies (Databricks, MLflow, Flink)., • Experience with SQL, NoSQL, ElasticSearch, MongoDB, Spark, Python, and PySpark., • Knowledge of DevOps, MLOps principles, and CI/CD pipelines., • Familiarity with trends in LLMs and open-source platforms. This role is hybrid and will require on-site in either NJ or NY office, the role will pay up to $220k per annum + bonus + benefits. If you feel you are suitable then please send your resume

Job DescriptionCompany Description Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description The Opportunity As a Senior Data Scientist at Cint you will have the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Media Measurement and Data Solutions products. This includes data analysis, design of statistical and machine learning model methodologies and codebases, and model validation. The ideal candidate is a self-starter with the ability to independently research, develop, validate and maintain products that align Cint capabilities with the market. What you will do * Lead research, discovery and development phases for new and existing products/models relating to media measurement * Independently and confidently carry out project planning, development and maintenance - end to end with minimal supervision * Analyze a variety of large datasets to extract impactful insights that can drive product strategy * Collaborate with cross-functional teams to align on design and implementation of models. * Develop methodologies, validate, and maintain statistical and machine learning models. * Ongoing evaluation and validation of both internal and external products to ensure Cint’s success. * Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences. Qualifications What we are looking for * Master’s degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields. * 5 years of experience in a data science capacity, preferably in market research, or advertising analytics. * Ability to manipulate, analyze, and interpret large data sources independently. * Deep understanding of advanced statistical techniques and concepts (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, stochastic modeling/simulation, and more). * Strong Knowledge of a variety of machine learning techniques (clustering, regression, tree-based models, etc.) and their real-world advantages/drawbacks. * Working knowledge in application of statistical and modeling techniques. * Strong analytical skills with a focus on data validation and accuracy. * Comfortable in researching and learning new methods, tools and techniques. * Self-starter that can independently and confidently carry out projects end to end with minimal supervision. * Proficiency in Python (as it relates to statistical analysis and implementing Machine Learning models) Bonus points if you have * Experience in media measurement and digital attribution * Experience with multivariate testing * Experience with predictive modeling * Experience modeling and quantifying outcomes through linking attitudinal (survey) data to behavioral (purchase) data * Experience in online survey methodologies * Ability to write and optimize SQL queries * Experience working with big data technologies (e.g. Spark) Additional Information Anticipated Salary Range (US Only): The anticipated pay range for this role is $140,800 to $211,200 annual base salary. This position is also eligible for the following benefits: * Medical, Dental, and Vision insurance options to suit you and your family’s needs * 401K with company matching * PTO, unlimited sick days * Remote Work * Paid maternity and paternity leave * Annual bonus opportunity #LI-Remote #LI-JC1 Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. ()

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 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 Child Mind Institute We're dedicated to transforming the lives of children and families struggling with mental health and learning disorders by giving them the help they need. We've become the leading independent nonprofit in children's mental health by providing gold-standard evidence-based care, delivering educational resources to millions of families each year, training educators in underserved communities, and developing tomorrow's breakthrough treatments. Position Details: As the Director, Operations and Project Management, you will lead the Science & Engineering (S&E) Teams administration and operations team, supporting projects that promote children's mental healthcare while developing robust operational processes and administrative workflows. You will collaborate with administrative teams for contracting, accounting, and compliance while standardizing project management methodologies across CMI wide operational teams and the S&E portfolio. Furthermore, you will implement systems for efficient resource allocation, budget monitoring, and cross-departmental communication to ensure operational excellence. Reporting to the Director, Office of the Chief Scientist, this is a full-time, exempt and hybrid (in office 4 days per week, 1 day remote) in our Midtown, NY office. You Will: • Manage cross-functional projects from launch to completion, creating comprehensive project plans and stakeholder engagement and alignment., • Drive collaboration, development and maintenance of processes, manage resources, and maximize impact to support team operations and projects forward., • Develop and maintain operational processes while optimizing resource allocations within the S&E and across cross-functional teams to advance team objectives and program outcomes., • Build team processes for scale performance by collaborating with subject matter experts to identify solutions and appropriately deploy resources at a program and project level., • Partner with stakeholders to create implementation strategies and communication plans that ensure successful daily operations of the S&E team., • Bachelor's degree in Project Management, Business Management, Engineering, Science, or a related field., • 7+ years of experience in formal project management and strategic operations at a matrixed organization., • 3+ years in a leadership role managing and mentoring a team of individual contributors., • Experience with project management methodologies, tools, techniques and technologies. #LI-hybrid Our Benefits Our great compensation package and benefits include medical insurance, 401(k), paid parental leave, dependent care, flexible work schedules, discounted tickets and entertainment perks programs. For more information about our benefits, please visit our employee benefits website. Pay Range The salary range for the position is posted. Factors such as candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations affect the salary offered within this range. In addition, this salary may be subject to a geographic adjustment (according to a specific city and state and depending on the role), if an authorization is granted to work outside of the location listed in this posting. EEO Disclaimer Child Mind Institute is committed to fostering an inclusive and equitable workplace where all individuals are treated with respect and dignity. We are proud to be an equal opportunity employer and prohibit discrimination and harassment of any kind. We provide equal employment opportunities to all employees and applicants for employment, regardless of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), sexual orientation, gender identity, gender expression, age, national origin, ancestry, citizenship status, marital status, military or veteran status, physical or mental disability, genetic information, medical condition, or any other characteristic protected by applicable federal, state, or local laws. In compliance with California law, we also prohibit discrimination based on reproductive health decision-making, status as a victim of domestic violence, sexual assault, or stalking, or any other category protected by the California Fair Employment and Housing Act (FEHA). In New York, we extend this prohibition to include status as a victim of domestic violence, familial status, or any other characteristic protected by the New York State Human Rights Law (NYSHRL). Child Mind Institute is dedicated to ensuring accessibility and reasonable accommodations for individuals with disabilities or medical conditions. If you require an accommodation to participate in the application process or perform your job, please contact our HR Department at This policy applies to all aspects of employment, including recruitment, hiring, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

Job Description Founded 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! We are looking for a Senior AI Solutions Engineer to join our customer-facing team. In this role, you’ll combine deep technical expertise in Machine Learning and Generative AI with strong pre-sales solutioning skills to help enterprise customers design, adopt, and scale AI using the H2O.ai platform. You’ll work hand-in-hand with Sales, Product, and Customers - leading technical discovery, designing architectures, running demos and pilots, and guiding customers through their end-to-end AI journey 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 • Partner with Sales to drive pre-sales success: lead discovery sessions, identify customer needs, design technical solutions, and build winning proposals., • Deliver compelling demos, workshops, and proof-of-concepts (POCs) across the H2O.ai platform (Driverless AI, Feature Store, EnterpriseGPT, Wave, h2oGPT, LLM Studio, ML Ops, and open-source tools)., • Build and present custom AI/ML/GenAI solutions tailored to industry verticals (banking, finance, insurance, healthcare, manufacturing, retail, public sector)., • Showcase hands-on expertise with LLMs: fine-tuning, evaluation, RAG pipelines, guardrails, and LLMOps best practices., • Design reference architectures and deployment strategies for enterprise customers across cloud (AWS, Azure, GCP), hybrid, and on-prem., • Guide customers on MLOps, Kubernetes deployments, CI/CD integration, monitoring, and governance to ensure production readiness., • Work closely with Product Management to influence product roadmap based on customer and field insights., • Contribute to thought leadership by creating solution blueprints, best practices, and reusable assets; represent H2O.ai at events, roundtables, webinars, and conferences.What We Are Looking For, • 5+ years in pre-sales, sales engineering, or solution architecture roles for enterprise AI/ML platforms., • Strong hands-on expertise in Generative AI and ML: LLM fine-tuning, evaluation, pipelines, predictive ML algorithms., • Proven experience with cloud-native deployments (AWS, Azure, GCP), Kubernetes, and enterprise integration., • Ability to design and explain AI/ML solution architectures to both technical and executive stakeholders., • Strong programming skills in Python (preferred), with familiarity in R or Java., • Excellent presentation and communication skills: confident in front of C-level executives and technical teams., • Experience with H2O.ai products or similar enterprise AI/ML platforms is a plus., • Willingness to travel up to 50% to support strategic accounts.How to Stand Out from the Crowd, • Experience running POCs, pilots, and executive workshops that accelerate AI adoption., • Familiarity with enterprise security, compliance, and governance in AI deployments., • Demonstrated thought leadership (talks, blogs, open-source contributions)., • Vertical domain expertise (e.g., BFSI, telco, pubic sector, manufacturing, retail).Why H2O.ai?, • Market leader in total rewards, • Remote-friendly culture, • Flexible working environment, • Be part of a world-class team, • Career growth 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. Powered by JazzHR e7ARFcG1o6

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.The Role: We are seeking a Senior Product Data Scientist to take a leadership role in shaping product strategy through data-driven insights. As a key partner to product managers, engineers, and business stakeholders, you will own experimentation frameworks, influence key product decisions, and drive the development of actionable metrics that guide long-term success. This role requires a mix of product thinking, statistical expertise, and leadership to ensure our product decisions are based on sound data principles. As a senior team member, you will also mentor junior data scientists and contribute to best practices in experimentation, KPI development, and data storytelling. The ideal candidate has hands-on experience in a mobile-first marketplace setting, and can thrive in a fast-paced, proactive, and dynamic environment. Above & Beyond: The Impact You'll Make: • Product Leadership: Partner with product and business teams to shape roadmaps, define success metrics, and ensure a data-driven approach to decision-making., • Experimentation & Statistical Testing: Lead the design, execution, and analysis of A/B tests and other causal inference methods to measure the impact of product changes., • KPI Development & Product Analytics: Define, monitor, and iterate on product success metrics to track growth, engagement, and retention., • Data-Driven Storytelling: Translate complex statistical analyses into clear narratives that influence product strategy and executive decision-making., • Cross-Functional Influence: Act as a thought leader in product analytics, helping to prioritize features and experiments based on rigorous data insights., • Data Infrastructure & Enablement: Work with data engineers to build scalable analytics solutions and empower product teams with self-serve tools., • Mentorship & Best Practices: Guide junior data scientists and analysts, fostering a strong culture of data literacy and experimentation within the organization. One Team One Dream: What We Need to Work Together: • Education: Bachelor's, Master's, or PhD in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science, Engineering)., • Experience: 5+ years in data science, product analytics, or a related field, with a strong track record of influencing product decisions through data.Technical Skills:, • Experimentation: Expertise in A/B testing, causal inference, and experimental design (e.g., power analysis, sample size estimation, multivariate testing). Switchback testing is a plus., • Measurement and Tracking: Experience with third-party tracking tools, such as Adobe Analytics, Segment, or mParticle and experience with supporting tagging and tracking for Analytics purposes., • Conversion Funnels: Deep understanding of marketplace user conversion funnels and experience in diagnosing growth opportunities within them., • Programming and Tooling: Proficient in Python/R and SQL for data analysis, model building, and reporting., • Business Intelligence: Experience working with business intelligence data visualization software, such as Tableau or Sigma. Leadership & Communication Skills:, • Strategy: Ability to own and drive product analytics strategy, proactively identifying opportunities for impact., • Collaboration: Ability to work cross-functionally with teams in marketing, supply, finance, and fan happiness to achieve broader business and marketing goals., • Communication: Clear communicator capable of presenting technical findings and strategic recommendations to stakeholders across different teams.Problem-Solving and Decision-Making:, • Critical Thinking: Demonstrates strong critical thinking and decision-making abilities, especially under pressure., • Proactive: Proactive in identifying challenges and implementing solutions and embodies a proactive and "Always be Curious" mindset. 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 offsites and meet-ups, • Wellness programs

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 Description You could be a data scientist anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor’s degree in a quantitatively or intellectually rigorous discipline * 1-3 years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis * High level of comfort with SQL or Python Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence 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 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.

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.

Job Description Does getting in on the ground floor as an initial stakeholder, building out your own team, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you. My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesnt exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands to million dollars that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B. They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting. RESPONSIBILITIES Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Research and implement novel machine learning and statistical approaches QUALIFICATIONS Excellent understanding of machine learning techniques and algorithms Experience with common data science toolkits and data visualization tools Proficiency in using query languages such as SQL, Hive, Pig etc. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good scripting and programming skills such as Python Bachelors degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools. It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team! Salary based on experience

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 DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. We are looking for a Senior AI Clinical Research Scientist to join our Health Economics & Outcomes Research team. You will lead the design, implementation, and publication of studies that evaluate the safety and efficacy of the next generation of digital mental health tools. You'll work cross-functionally to evaluate and automate safety monitoring pipelines and run benchmarking studies that compare AI outputs against human-delivered care. What you'll be doing: • Design and execute research studies that evaluate the safety and efficacy of clinical AI tools, • Develop and operationalize automated safety monitoring plans, including real-time signal detection and alerting frameworks, • Collaborate with engineering and data teams to build feature-rich datasets, curate annotated transcripts, and automate labeling workflows, • Engage in customer and external-facing interactions to gather requirements and share findings around AI safety performance, • Author and submit high-impact academic manuscripts for peer review and conferences What success looks like in this role: • Submission of 2+ first-author publications or conference papers per year, • Deployment of at least one fully automated safety monitoring pipeline into production, • Positive stakeholder feedback on safety protocols and published study quality What we expect from you: • PhD in a quantitative field (e.g., Machine Learning, Computer Science, Biostatistics, Psychology), • Track record of ≥ 3 first author pubs, • Expertise in LLM, AI/ML model development, validation, and backtesting, • Proficiency in Python and/or R, • Able to distill complex AI safety findings for both technical and non-technical audiences, • Self-starter with the ability to independently scope projects and solve novel problems What we'd love to see (Bonus): • Prior experience in clinical research settings or working with IRBs/DSMBs, • Hands-on experience with cloud platforms (AWS, GCP) and MLOps frameworks, • Demonstrated passion for advancing AI safety and ethics in healthcare, • Experience building data pipelines and automation scripts, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. We're hiring a Senior Data Scientist to join our high-performing Advanced Analytics team, embedded within the Specialty Care group. This role will lead technical innovation to drive targeted outreach and scale Specialty Care utilization, leveraging diverse and novel data sources in close partnership with product, design, and engineering. The ideal candidate will thrive in ambiguity, bring strong analytical expertise, and drive rapid experimentation to surface actionable strategies that improve Specialty Care member engagement and health outcomes. This is a full-time, remote-eligible position, reporting into the Associate Director of Data Science under the CFO. What you'll do: • Lead Analytical Strategy for Specialty Care: Own the end-to-end analytical strategy to increase Specialty Care utilization. You will develop and apply advanced methods, including AI, predictive modeling, classification, and clustering, to identify and segment at-risk members for high-acuity conditions. Your work will directly influence product strategy, de-risk new initiatives, and drive measurable business outcomes., • Drive Rapid Experimentation and Outreach: Design and execute a rapid experimentation roadmap to test, validate, and scale targeted member outreach strategies. Some projects will require quasi-experimental approaches to measuring impact. You will analyze results to provide clear recommendations on which initiatives to pursue, shaping the core of the pod's data-driven approach., • Act as an Embedded Technical Leader: Serve as the dedicated data science lead within the Specialty Care product pod, partnering closely with product management and design to influence the team's roadmap, define success metrics, and ensure strategic decisions are grounded in rigorous analysis., • Incremental increase to Speciality Care utilization, • Number of at-risk members identified, • 5+ years of professional data science experience, • Hands-on experience with experimentation, hypothesis testing, and quasi-experimental methods., • Proficiency with SQL and Python, • Experience with data modeling via dbt or similar tools, • Experience working with data visualization and BI tools (e.g., Looker, Hex), • Facility with a product development process in the context of a software product, • Excellent verbal and written communication skills to guide and make recommendations to business partners, • Proven ability to incorporate AI as a tool to solve complex business problems; including experience with prompt engineering for LLMs, using AI for code optimization and documentation, and establishing best practices for using these tools across teams., • Proven ability to proactively manage your own priorities and dependencies in alignment with cross-functional dependencies and business impact in a fast-paced environment, • Proven success at navigating ambiguous problem areas and learning new approaches, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

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 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 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 Summary: PLEASE NOTE - This is NOT a technical role for a Data Analyst, Data Scientist or someone with an IT background. Candidates MUST have experience in the Market Data realm and be able to administer Market Data contracts. Please read the description before you apply The Market Data Administrator at S4 Market Data will oversee the administrative functions of client projects and be responsible for supporting the overall service delivery of our managed services with respective clients. This position will manage market data service inquiries from clients as it relates to inventory management, procurement requests and renewals, and supporting the lead analyst with any project/task based related inquiries. The ideal candidate will have market data administrative experience; performing moves/adds/changes in inventory (FITS/MDSL), updating contract/pricing records, and reconciling invoices. Having a financial and/or consulting background for this role is preferred. Responsibilities: • Handle day-to-day administrative inquiries from internal business units and our lead analysts, including but not limited to; entitlement requests, moves/adds/changes requests, inventory management, procurement/legal approval, expense allocation, and invoices reconciliation., • Keep an updated inventory of contracts, services, pricing, users, and vendors. Perform month-end reconciliations and ensure that our data is always accurate and current., • Interact with the client’s various internal stakeholders and business units; technology, legal, accounting/finance, human resources, and investment managers. Resolve any procurement issues., • Provide client and project support for our lead analysts and perform analyses or data related tasks in Excel as requested., • Support lead analyst with any internal client SLA reporting for regular team meetings and client deliverable updates., • Relevant experience in financial services or market data or work experience in consulting is preferred. Knowledge of FITS/MDSL inventory systems is preferred., • Experience working with Market Data vendors such as Bloomberg, FactSet, Exchanges (NYSE, ICE, etc.). Intermediate Excel skills are required., • Excellent communication and task/time management skills are preferred. Display a high level of time management skills in order to manage multiple and elaborate requests simultaneously. alD7LoKSDv

Job Description We're looking for an experienced Data Scientist to lead the transformation of our data from a raw storage asset into a strategic one. In this role you will be responsible for building a reliable data infrastructure, implementing a self-service business intelligence (BI) tool, and ultimately delivering the data-driven insights needed to accelerate our Product, Sales, and Customer Success efforts to develop features that continually push the limits of what Yembo's product can do. To succeed in this role, you must be deeply technical, an analytical problem solver, and a strong communicator able to address technical problems in an effective way. By structuring our data and making it accessible, you will unlock critical insights, improve operational efficiency, and empower every team to make better, faster decisions. This position is perfect for you if: • You leverage first principles to understand the art of the possible, and love solving customer pain points, • You're extremely hands on, technically excellent and exhibit strong communication skills, • You're comfortable working directly with customers in order to best understand and implement workflows, • You love to troubleshoot issues, • Seeing your impact at scale excites you. You will have a direct impact on the overall company success First - Data Architecture & Pipeline Development (The Foundation) • Design, build, and maintain a series of relational databases that sit on top of our MongoDB data lake., • Develop robust, automated, and scalable ETL/ELT pipelines to extract data from Mongo, transform it, and load it into the new relational databases., • Ensure data quality, integrity, and consistency, establishing a "single source of truth" for key business metrics., • Collaborate with the Engineering team to lead the evaluation, selection, and implementation of a modern BI tool (e.g., Looker, Tableau, Metabase). Looker is the current selection but that may change after a more indepth analysis., • Connect the BI tool to the newly created relational databases., • Build and maintain a core set of foundational dashboards and reports for company-wide use., • Act as the primary point of contact for data analysis requests from across the organization., • Support Product by analyzing feature adoption, user behavior, and the impact of product launches., • Support Customer Success by providing data and insights for customer-facing QBRs., • Support Sales and Marketing with data for lead scoring, market segmentation, and performance analysis., • Translate complex analytical findings into clear, actionable recommendations for business stakeholders.Requirements, • 3-5+ years in a data-focused role, with demonstrable experience in both data engineering and data science, • Direct or related technical experience:, • Expert proficiency in SQL and relational database design., • Strong proficiency in Python for data manipulation (Pandas, NumPy) and scripting., • Hands-on experience building and maintaining ETL/ELT pipelines., • Experience with NoSQL databases, specifically MongoDB., • Experience with at least one major BI platform (Looker, Tableau, Power BI, etc.)., • Excellent communication skills; able to translate technical concepts to non-technical audiences, • Strong problem-solving ability and a self-starter attitude, • Pragmatic and results-oriented, with a focus on delivering business value, • Willing to work US business hours, • Occasional but infrequent travelBonus, • Experience with workflow orchestration tools (e.g., Airflow, Prefect, dbt), • Familiarity with cloud data warehousing (BigQuery, Redshift, Snowflake), • Experience with statistical analysis and modelingSalary: $130,000Benefits, • 100% Employer Covered Health Care Plan for you and your family (Medical, Dental & Vision), • Retirement Plan (We offer a 401k with 4% company match), • Life Insurance (Basic, Voluntary & AD&D), • Paid Time Off (Unlimited Flex PTO, Flexible Sick Leave & 11 National Holidays), • Parental Leave for both caregivers, • Annual Events & Meetups, • Work From Home (Fully Remote Team), • Stock Option Plan Notice Yembo is an Equal Opportunity Employer, and all qualified applicants will receive consideration for employment, as Yembo does not discriminate on the basis of race, color, religion, sex, age, national origin, disability, veteran status, sexual orientation or any other classification protected by Federal, state, or local law. We are not accepting submissions from recruiting firms at this time. #LI-Remote #BI-Remote

Job DescriptionCompany Description Who We Are Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We are feeding the world’s curiosity! Job Description As a Staff Data Scientist at Cint, you will be responsible for designing and developing advanced statistical and machine learning methodologies across our Media Measurement and Data Solutions product lines. You will lead high-impact initiatives, guide cross-functional collaborations, and serve as a subject matter expert on data science methodologies that support our product suite. You are expected to work independently across multiple complex projects, help shape data science strategy, mentor and coach team members, and translate business challenges into scalable, data-driven solutions. Your work will ensure that our data science solutions are robust, scalable, and aligned with both market demands and company objectives. Key Responsibilities: * Develop and deploy statistical models, machine learning algorithms, and custom analytics solutions to measure the effectiveness of media campaigns. * Collaborate with cross-functional teams to design, refine and automate measurement methodologies for TV, digital, social, and other media platforms. * Lead the research and discovery phases for both new and existing products and partner closely with engineering teams to transition prototypes into robust, scalable solutions. * Develop customer-facing methodology resources and thought leadership. Support business teams in explaining and defending our measurement methodologies broadly to customers. * Plan, develop, and manage projects from concept to completion with no supervision, ensuring timely and high-quality delivery. * Partner with product teams and other stakeholders to translate business needs into actionable data science initiatives. * Serve as a technical leader and mentor to other data scientists in the team, promoting best practices in coding, experimentation, and analytical techniques. * Stay up to date with the latest industry trends and emerging methodologies in media measurement and data science. * Communicate complex results, insights and strategic recommendations to both technical and non-technical audiences through compelling data visualizations, detailed reports and presentations Qualifications Qualifications: * Advanced degree (Ph.D. or Master's) in a quantitative field such as Data Science, Statistics, Mathematics, Operations Research, Economics, Computer Science, or Quantitative Sciences with outstanding analytical expertise * 7+ years of experience in data science and analytics, machine learning, model development/validation, or related fields, with at least 2 years focused on media measurement, marketing analytics, or advertising. * Proven track record in leading large-scale data science projects, mentoring teams, driving strategy and delivering business impact. * Demonstrated experience in advanced statistical techniques and concepts * e.g., properties of distributions, hypothesis testing, multivariate (parametric/ non-parametric) testing, sampling theory, weighting/projection, experimental design, regression/predictive modeling, causal inference techniques, stochastic modeling / simulation, and more. * Strong programming skills in Python (as it relates to statistical analysis and implementing Machine Learning models) * Proven expertise in advanced Python prototyping * Proficiency with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques (e.g., clustering, regression, tree-based models) * Advanced SQL skills and familiarity with big data technologies (Spark, Hadoop, Databricks). * Demonstrated ability to independently and confidently carry out projects end-to-end. * Understanding of infrastructure cost management, particularly in relation to processing large datasets efficiently. Preferred Qualifications: * Experience in online survey methodologies Additional Information Personal Attributes: * Excellent communication skills and advanced presentation skills, with the ability to explain complex technical concepts to large technical and non-technical audiences. * Excellent interpersonal skills, ability to work effectively with cross-functional teams and stakeholders. * Strong ability to analyze complex and large data sets and extract meaningful insights. * A genuine interest in exploring new data science methods, tools, and technologies to create and implement innovative solutions and approaches. Additional information Anticipated Salary Range (US Only): In California, Colorado, New York City and Washington, the anticipated pay range for this role is $167,200 to $200,000 annual base salary. This base pay range is specific to California, Colorado, New York City and Washington and may not be applicable to other locations. In addition, this position is also eligible for the following benefits: • Medical, Dental, and Vision insurance options to suit you and your family’s needs, • 401K with company matching, • PTO, unlimited sick days, • Remote Work, • Paid maternity and paternity leave, • Annual bonus opportunity #LI-JC1 #LI-Remote Our Values Collaboration is our superpower • We uncover rich perspectives across the world, • Success happens together, • We’re pioneers in our industry, • Our curiosity is insatiable, • We’re accountable for our work and actions, • Excellence comes as standard, • We learn from each other’s experiences, • Stop and listen; every opinion matters, • We embrace diversity, equity and inclusion. More About Cint We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. ()

Job Description Hi, we're Oscar. We're hiring a Senior AI Engineer to join our AI team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role In this role, you will join Oscar's AI team to transform healthcare with cutting-edge Generative AI solutions. You will collaborate with top engineers and data scientists to build impactful AI-driven applications across the healthcare ecosystem. You will be responsible for leveraging Generative AI to optimize healthcare operations across many different use cases, build end-to-end prototypes, and measure success with your strong statistical and / or analytical background. You will use your creativity, ambition and determination to solve the health insurance industry's biggest problems, tackle ambiguous performance issues and meet requirements for production launches. You will work on the central AI Pod at Oscar. This team is responsible for both enabling the rest of Oscar's AI applications as well as directly delivering value on the most strategic AI projects in the business. • On the enablement side, you will engage with third-party AI partners to test new models and techniques as they come to the market, maintain core AI infrastructure for the rest of the company, and facilitate regular hacking sessions and knowledge sharing sessions. Work Location: This is a hybrid role in our New York office (in Hudson Square). You will work part of the time in the office and part of the time remote / work-from-home. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities • Build and maintain core enterprise-wide AI infrastructure, integrating third-party AI models and tools., • Lead end-to-end delivery of AI solutions, from requirements gathering to production in collaboration with cross functional partners, • Mentor colleagues to strengthen AI fluency, foster innovation, and influence roadmaps., • Act as a key contributor to AI strategy, identifying opportunities for impactful applications and enabling their delivery., • Compliance with all applicable laws and regulations, • Other duties as assignedQualifications, • 5+ years of professional software engineering or data science experience, working with a variety of technologies, and have increasingly impactful accomplishments, • Proficiency in Python and statistical fundamentals (e.g., bias-variance trade-offs, probability distributions), • Experience solving complex, ambiguous problems, • Familiarity with widely used AI frameworks and tools (e.g., LangChain, LlamaIndex) and prototyping libraries (e.g., Streamlit, Replit,, • Tesseract), • Experience or an interest in prototyping full-stack applicationsBonus Points, • Experience with the healthcare industry. Familiarity with claims or clinical data., • Degree in math, statistics, data science, or engineering. Our ideal candidate is a data scientist with an engineering background or an engineer with a data science background!, • Experience with NLP, neural networks, transformers, and modern AI frameworks., • Knowledge of containerization and deployment tools (e.g., Docker, Kubernetes) or full-stack development (e.g., React, Golang). At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. Artificial Intelligence (AI) Guidelines: Please see our AI Guidelines for the acceptable use of artificial intelligence during the interview process at Oscar. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Notice to Job Applicants.

Company: Epogee is a food innovation company committed to transforming the food system with dramatically lower-calorie ingredients that don’t compromise on taste or texture. Our flagship ingredient, EPG® (esterified propoxylated glycerol), is a patented fat alternative with 92% fewer calories than traditional fats. Backed by 60+ clinical studies and full GRAS (Generally Recognized as Safe) status across major categories, we are scaling up production rapidly with top-tier manufacturing partners, regulatory support, and an expanding customer base across CPG (Consumer Packaged Goods) and foodservice markets. Note: Epogee is a subsidiary of Linus Technology. David is the other brand currently operating as a subsidiary of Linus Technology as well. While this role will be listed through David’s hiring channels, the Analytical Scientist (Chemist) will operate exclusively within Epogee’s independent team, leadership, and mission. This role reports directly to the Director of R&D at Epogee. Role and Responsibilities: We’re looking for a detail-oriented, method-driven Analytical Scientist (Chemist) to lead physical and chemical testing in our R&D lab. You’ll ensure the quality, reproducibility, and performance of our ingredients — enabling our R&D and commercial teams to move faster with confidence. This position is based in New York City (in-person, full-time) and will require initial immersion at our satellite lab in Clemson, SC for technical onboarding. Responsibilities: Analytical Testing • Execute tests for melting point, acid value, compositional analysis, oxidation stability, volatiles, and color, • Synthesize test batches to validate new suppliers, study quality variables, and advance manufacturability objectives, • Maintain and calibrate all lab instrumentation with precision and attention to detail, • Facilitate external testing at third-party quality laboratories Method Development • Build and validate SOPs for key analytical methods, • Develop defensible techniques that support regulatory and product claims Data Ownership • Ensure outputs of Epogee’s quality testing are reproducible, traceable, and scientifically rigorous, • Summarize and share analytical results to guide technical and business decisions, • Maintain data integrity and employ good documentation practices when performing experiments Systems & Scale • Design systems for batch sampling, QC monitoring, and continuous improvement, • Foster a robust documentation culture to support transfer of R&D learnings, effective quality management, and execution of manufacturing operations. Strategic Contribution • Build and lead Epogee’s Cradle-to-Customer quality program to elevate performance across R&D, quality, and production, • Ability to work independently and as part of a team What You’ll Bring: • B.S. or M.S. in Analytical Chemistry, Biochemistry, or Food Science, • 2+ years of hands-on experience in lab-based analytical testing, • Proficiency with various analytical instruments and method development techniques specific to fats and oils chemistry, • Strong attention to detail and a commitment to scientific defensibility, • Bonus: Experience to working with fats, oils, solvents, chemical synthesis, design of experiments, and statistics Practicalities: • Initial lab work will take place at Epogee’s lab in Clemson, SC for ~1 year before the NYC lab is operational. Following lab setup, full-time, in-office role based in New York City — onsite five days a week., • Occasional travel will be required to support technical training and production-related activities across our partner network., • Compensation: $80,000 – $120,000 (commensurate with experience), • Company equity opportunity on top of cash compensation., • 100% covered Health, Vision, Dental Insurance, • 401(k) with 4% match, • Additional perks, such as covered gym expenses, • Substantial and required PTO

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.

Principal Data Scientist, Medical Imaging. As a Principal Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance.For more than a decade, we have led our industry and worked at the frontier of applying AI/ML to investment management.We have become a multibillion-dollar asset manager,

Distributed work: Work from anywhere fully remote, in our hubs, or a mix. Laptop, remote setup stipend, and co-working budget.

Note: NO Corp-to-Corp and unable to sponsor at this time. Right To Hire Preferred but will look at suitable candidates in EST time zone / Hybrid 2-3 days in the office or Remote (but need to work Eastern standard time zone.) 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: o 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, model testing. o Write production-level code and partner with machine learning engineers to push development code into production. o Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. o Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: o Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. o 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. o Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges. o Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: o 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. o 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. o 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. o 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. o 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. o Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). o AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages. o Programming Languages: Python, SQL

As a software engineer, data scientist, or deeply technical analytics lead, you've helped an organization up its game through the software you've written and/or the analytical products you've built. Forward Deployed Software Engineer. As a Forward Deployed Software Engineer at Northslope, you will b

Reporting to the Director of Performance Management, the City Research Scientist, Level 2, will provide information and data to support evidence-based decision-making, lead research aligned with departmental goals, foster external collaborations, develop advanced models and algorithms, ensure resear

MSc or PhD in Computer Science, Machine Learning, NLP, Quantitative Finance, or related field.

Define batch or real-time streaming data needs, evaluate data quality, and extract/manipulate data in a "Big Data" environment. The Senior Data Scientist designs, develops, and implements advanced data science models for priority business use cases across the enterprise. Support Lead & Principal Dat

Job Description About you: Are you interested in expanding a career in digital marketing? The WITHIN team is growing, and we're hiring for Digital Media Strategists who are willing to take the lead across multiple digital marketing channels to meet goals at the intersection of performance and branding. This is a unique opportunity in a rapidly expanding company. Responsibilities will include and are definitely not limited to: • Working with a portfolio of clients, • Optimizing account performance using data insights, A/B testing, and consumer research, • Client communication (written & verbal), • Working across multiple teams to design and execute marketing strategies that align with client goals and business objectives, • Producing meaningful marketing KPI dashboards and delivering cross channel performance reports with actionable insight, • Analyzing cross-channel performance data and extracting actionable insights, • Note, This is not a data scientist or analyst role, but the role does work regularly with data, including basic analyses & projections, • Implementing proprietary technology and best practices, • Delivering creative & copy recommendations to clients based on historical performance, • At least 1–2 years of experience in Digital Marketing, preferably Facebook & Google Ads, is REQUIRED., • Please see here for our opening for the role that does not require any prior experience, • Bachelor's Degree or equivalent experience, • General business acumen, • Desire to work in a deadline-oriented environment, • Interest in pursuing a career in performance oriented digital marketing, • Working knowledge of Excel (conditional statements, pivot tables and vlookups), • Cognitive Aptitude and Typing Test, • Unlimited vacation policy, • Monthly Phone Stipend, • Comprehensive Medical, Dental, and Vision insurance options, • 401(K) plan with matching, • Dog friendly office, • Hybrid work opportunity, • Professional Development Program, • Level 1 - $62,400-$85,000, • Level 1 - Possesses essential capabilities., • Level 2 - $85,000-$90,000, • Level 2 - Possesses developing capabilities., • Level 3 - $90,000-$102,5000, • Level 3 - Possesses notable capabilities., • Level 4 - $102,500-$130,000, • Level 4 - Possesses strong capabilities., • Level 5 - $130,000-$166,750, • Level 5 - Possesses advanced capabilities. About WITHIN & Brkfst.io WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we're able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own. Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Ben and Jerry's and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It's a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems. Check out some of our work! Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale. We are, and we connect creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we're looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more! This is a very ambitious project and our roadmap is full of exciting features, so we're looking for people who love innovation and want to be challenged. We're a small team of scrappy individuals who are growing fast, and we're looking for someone to grow with us. We weave AI into everything we do, using the latest tech across all teams to innovate, work smarter, and make better decisions. Whether it's in creative, operations, or anything else, AI helps us level up and do things at a whole new scale. We expect our people to use AI in their daily work, fully embracing it as a critical tool to help us succeed. Join Our Network! Stay connected with us and be the first to know about new opportunities, industry insights, and updates. Follow us on: • LinkedIn, • WhatsApp Community, • Instagram, • NYC: 43-01 22nd St Suite 602, Queens, NY 11101, • Bogotá: Av. Cra 19 #100-45, Bogotá, Floor 12, • Mexico City: Av Paseo de la Reforma 296, floor 25 office 111

The Data Scientist Senior oversees the development and implementation of predictive modeling algorithms and techniques to solve more complex business problems and optimize member experiences. Lead and mentor Data Scientists. Pipe and process massive data-streams in distributed computing environments

Research Scientist 8 at NYSPI duties include:.Co-lead several large-scale, multi-site psychiatric genetics studies.Oversee data stewardship and ensure data integrity across projects.Develop and implement analytic strategies for research initiatives.Facilitate collaboration between institutions invol

We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. In this role as Lead Data Scientist for the DSL, you'll be entrusted with developing solutions for IDP (Intelligent Document Processing), Intelligent Knowledge Retrieval, AI Automation s

AI/ML Architect / Lead Data Scientist.Location: Onsite - NYC (Candidates needs to be located in NY/NJ area).

Partner with Data Engineering and Architecture teams to implement data pipelines and enterprise-wide data assets. The Lead, Data Scientist plays a critical role in advancing Macy's enterprise-wide data and analytics strategy. Works with engineering teams to build scalable data pipelines and reusable

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: Mid - Senior Machine Learning Engineer (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. Requirements: Degree in Computer Science, Engineering, Statistics, or a related technical field. Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. Strong foundational understanding of algorithmic complexity and data structure optimization. Excellent problem-solving, collaboration, and communication abilities. Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. 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 Description This role requires eligibility to work in the USA for a US company, and infrequent travel may be required Position Overview: As the Senior / Lead ML Tooling Software Engineer at Atlas AI, reporting to the Head of Engineering, you will be part of the core team defining, building, testing, and delivering our GeoAI platform to enable internal and external Data Scientists (DS) and Machine Learning Engineers (MLE) to implement Geospatial AI models. The Senior / Lead ML Tooling Software Engineer position sits in our Software Engineering team; you will interface with peer software engineers, domain experts, data scientists, machine learning engineers, product designers, and product marketers. You will work at the intersection of our leading AI research activities and software engineering to advance our product roadmap. As the Lead ML Tooling Software Engineer, you will: • Own the design, development, deployment and support of our cloud-scale training services for GeoSpatial Machine Learning models, • Be the Subject Matter Expert ensuring that the Software Engineering team builds and delivers solutions that “just work” for how DS and MLE approach GeoSpatial problems in the real world, • Engage internal collaborators and our end-use partners and customers to understand needs, plan solutions and lead development of deliverables, • Close the feedback loop with Solutions, Engineering and Innovation teams to deliver customer experience and market insights, • Architect and develop serverless solutions that marry products within and across cloud platforms (e.g. GCP, AWS, Azure) that address customers’ needs, • Lead client-oriented API design and development, • Work with designers, product managers, and your fellow engineers to build APIs to support key functionality and use cases, • Actively participate to improve engineering standards, tooling, and processes, • Leverage your experience in early stage startups to make informed decisions that balance speed vs quality, • Three or more years of recent work experience as a practicing Data Scientist or Machine Learning Engineer using PyTorch, sklearn and lightgbm, • Two or more years of recent work experience as a practicing Backend Software Engineer using Python, GDAL and other GeoSpatial tools deployed in the cloud as serverless applications (e.g. GCP Cloud Run) or orchestrated workflows (e.g. Airflow, Argo), • At least three or more years of recent work experience building around Earth Observation use-cases, • Technical ownership of key areas of a Product, such as one or two critical services, • Demonstrable experience with Python, Pandas, PyTorch, GDAL, • Experience with building distributed computing infrastructure flexible for both on-demand and batch processing, • Self-starter attitude, comfortable working independently and in an entrepreneurial, start-up environment; thrives in high-trust environments with minimal resources/backing, • Exceptional interpersonal communication, both written and oral, • Independence and ownership of work in an entrepreneurial, start-up environment, • Applying Geospatial libraries and datasets at scale for user-facing applications, • Developing enterprise PaaS and SaaS products, • Working in early-stage startup environments Please provide a link to your github repo in your CV. We are ideally looking for a candidate in the SF Bay Area, CA or New York, NY (100% remote with two to four meet-ups per year in-person). We offer a casual and inclusive working environment, competitive compensation, and great benefits. We are a values-driven company, and take great pride in building products that are designed to improve lives and foster development across emerging markets. Salary range for candidates depending upon level of experience and location: $170,000 - $200,000. Atlas AI is an equal opportunity employer. All applicants will be considered for employment regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran or disability status. This role requires eligibility to work in the USA for a US company, and infrequent travel may be required. Perks & Benefits • Fast-paced and team-oriented environment where you will be instrumental in the direction of the company., • Atlas AI is a 100% remote company with occasional in-person meet-ups in SF, NYC, Nairobi (Kenya) and Kaunas (Lithuania)., • Competitive compensation & equity., • Outsized responsibilities & professional development budget., • Opportunities to travel to conferences, events and other industry-led symposiums., • Training is foundational; functional, customer immersion, and development training., • Medical, dental, and vision insurance including dependents (exact benefits vary by region)., • Unlimited paid time off, with a target goal of 20 days off per year + public holidays (region dependent)., • Paid parental leave (exact benefits vary by region)., • Home office setup allowance, co-working space stipend, and company MacBook., • Monthly wellness benefit. 9iXYRdTL5O

Lead Machine Learning Engineer. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer.

Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Strike

Take ownership of the full machine learning lifecycle for various applications, working closely with data scientists, product managers, and backend engineers to define problems, develop solutions, and measure impact. In this role, you will work closely with the ML Platform and Data Science teams to

Basic Qualifications: * Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date : * A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics,

As a core part of our Generative AI data engine, these systems are critical to ensuring the quality, safety, and reliability of the data used to train and evaluate frontier models. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including:

Senior Lead Machine Learning Engineer. The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model traini

Compensation is determined by various factors including individual qualifications, experience, skills, interview performance, market data, and work location. Compensation is determined by various factors including individual qualifications, experience, skills, interview performance, market data, and

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney's media business globally. Disney Entertainment and ESPN Pr

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

Expert data architect eager to solve complex, multi dimensional big data problems with advanced strategic leverage of databases, data assets and DAG pipeline. Our training data includes all parts of historical insurance claims, as well as data we source externally. We develop machines with deep comp

We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' nee

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. Mparticle by Rokt is widely recognized as one o

To deliver on this need, we are hiring a Senior Data Scientist to partner directly with our Internal Audit team to assess Mercury’s internal controls and data systems. Collaborate with Data Engineers and Analysts to improve data infrastructure, pipelines, and observability for audit-relevant syste

What does the day-to-day look like? The day-to-day work comprises software architecture development and design, assisting with initiative planning at macro (yearly/quarterly) and tactical (sprint-level) scale, leading software development toward the project and team's goals, and leading production s

Comfortable being in a hybrid role, working between the business, other data scientists, and data engineers to reveal what trends and KPIs matter. Advanced knowledge in using Python and SQL for data analysis over large-scale datasets. Build models to analyze various datasets across the organization,

As a Data Scientist in SCOT, you will be working alongside thought science and engineering leaders, contributing to academic research and complex, real-world applications. You are an analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and al

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar. Design, build, and optimize ML pipelines, including data ingestion, feature engineering, training, and deployment for large-scale, real-time systems. Ensure da

As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase.

Job Opportunity At Synergisticit.SynergisticIT is aware that the Job Market is Challenging because of Tech Layoffs.The Job market is flooded with hundreds and thousands of laid-off Jobseekers competing with existing Jobseekers.For entry-level Job seekers to get client interviews and jobs they need t

You care about agile software processes, data-driven development, reliability, and disciplined experimentation. Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to c

As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a For

With a vibrant community of 2 million data scientists worldwide, H2O. 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 yo

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