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This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future. At Spectrum Reach, we help advertising clients harness industry leading research and marketing data and to exceed their advertising needs across multiple media platforms. We do this better than anyone else in the industry by providing our clients with access to Spectrum Reach's unique marketing platforms of choice. From traditional commercial advertising to exciting new possibilities in interactive media and multi-screen solutions, Spectrum Reach's consultative team brings more than 22,000 advertising clients world class creative and innovative advertising solutions. The Lead Data Scientist is responsible for leading the development of data-driven solutions for Spectrum Reachs advertising sales business. Utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires a strong command of statistical techniques machine learning algorithms, and big data technologies. The ideal candidate will possess a demonstrated practical ability to determine where to invest time, and depending on the assignment, to build sustainable predictive models and services or to synthesize actionable findings and present findings to audiences with diverse agendas and varying levels of technical expertise. • Actively and consistently support all efforts to simplify and enhance the customer experience., • Plan and lead the complete analytics life-cycle for problem solving, including: requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization., • Leverage knowledge in analytical and statistical algorithms to help stakeholders explore methods to improve their business. Utilize experience and feedback to recommend options during the development/research/analysis phase., • Lead large-scale exploratory data analyses for new data sources or new uses for existing data sources. Establish links across existing data sources and find new, interesting data correlations., • Plan effectively to ensure analytics products are flexible, modular, and both leverage and contribute to the teams existing reusable code base., • Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem., • Responsible for interpretation of results for both causal inferences and predictive effectiveness., • Synthesize appropriate recommendations for action and changes., • Present findings, suggested actions and changes to a broad audience, and manage follow-ups and execution., • Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds., • Create project plans to help team achieve defined project goals within deadlines; proactively communicate status and escalate issues as needed., • Mentor and train junior team members as well as assist leadership in setting strategic vision., • Perform other duties as assigned. Education • Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience Experience • 7+ years of experience in data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA or Engineer, • 7+ years of experience in SQL, R or Python programming Skills • Mastery of R and/or Python for advanced analytics and AI/ML applications, • Expertise with SQL and large datasets, including efficient data transformation and storage at scale, • Strong understanding of data architecture and data warehousing, • Proficiency with commercial cloud platforms such as AWS, Azure or GCP, • Solid theoretical foundation in major machine learning models including regression, classification, clustering, neural networks and large language models, • Experience with multi-series time series forecasting at scale, • Command of advanced mathematics including calculus, PDEs, probability and statistics, with ability to independently learn new concepts, • Effective synthesis and presentation skills for sharing results and recommendations, • Ability to communicate complex findings to varied audiences, • Demonstrated commitment to expanding skill set and fostering learning within the team Preferred Skills/Abilities and Knowledge • Experience in the advertising sales, cable and/or telecommunications industry, • Advanced Python knowledge and deep experience in the AI/ML ecosystem surrounding Python, • Experience in Operations-research/optimization, in particular mixed-integer programming, multi-objective optimization, CPLEX and Gurobi solver configuration and performance tuning, • Experience in AWS ecosystem (including EMR, Glue, Athena, SageMaker, Bedrock), • Experience in Snowflake architecture, resource optimization, and performance tuning, • Experience in distributed computing paradigms and parallel processing, including Spark optimization techniques and performance tuning, • Experience in MLOps, including end-to-end ML pipelines with automated training, validation, and deployment, model registry systems for versioning and governance, • Experience with development of systems using generative AI, reasoning models and agentic AI methods. Preferred Education • Masters Degree in related field #LI-MM2 BDA309 2026-69457 2026 Here, our employees dont just have jobs, they're building careers. Thats why we offer a comprehensive ___ package that rewards employees for their contributions to our success, supporting all aspects of their well-being at every stage of life. A qualified applicants criminal history, if any, will be considered in a manner consistent with applicable laws, including local ordinances. The base pay for this position generally is between $107,900.00 and $149,500.00. The actual compensation offered will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. We comply with local wage minimums and also, certain positions are eligible for additional forms of other incentive-based compensation such as bonuses. Get to Know Us Charter Communications provides superior communication and entertainment products for residential and business customers through the Spectrum brand. Our offerings include Spectrum Internet, TV, Mobile and Voice. Beyond our connectivity solutions, we also provide local news, programming and regional sports via Spectrum Networks and multiscreen advertising solutions via Spectrum Reach. When you join our team, youll be keeping our customers connected to what matters most in 41 states across the U.S. ___ Grow Your Career Here Were committed to growing a workforce that reflects the customers and communities we serve providing opportunities for employment and advancement to all team members. Spectrum is an Equal Opportunity Employer, including job seekers with disabilities and veterans. ___

Job Description Engagement Type: Independent Contractor Work Mode: Fully Remote Hours: 3040 hours/week or Full-Time (Flexible) About the Role We are partnering with a leading AI research lab to hire a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will collaborate closely with researchers and engineers to design rigorous experiments, build advanced statistical and machine learning models, and develop data-driven frameworks that support product and research decisions. Key Responsibilities * Analyze large, complex datasets to uncover patterns and generate actionable insights * Build predictive models and ML pipelines across: * Tabular data * Time-series data * NLP * Multimodal datasets * Design and implement validation strategies, experimental frameworks, and analytical methodologies * Develop automated data workflows, feature pipelines, and reproducible research environments * Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations * Translate analytical results into clear recommendations for engineering, product, and leadership teams * Collaborate with ML engineers to productionize models and ensure reliable data workflows at scale * Present findings via dashboards, structured reports, and documentation Required Qualifications * Kaggle Competitions Grandmaster or comparable achievement (top-tier rankings, multiple medals, or exceptional competition performance) * 35+ years of experience in data science or applied analytics * Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) * Experience building ML models end-to-end (feature engineering, training, evaluation, deployment) * Strong understanding of statistical methods, experiment design, and causal/quasi-experimental analysis * Familiarity with modern data stacks (SQL, distributed datasets, dashboards, experiment tracking tools) * Excellent communication skills and ability to present analytical insights clearly Nice to Have * Contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) * Experience in AI labs, fintech, product analytics, or ML-driven organizations * Knowledge of LLMs, embeddings, and modern ML techniques for text, image, and multimodal data * Experience with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) * Familiarity with Bayesian methods or probabilistic programming frameworks Why Join * Work on cutting-edge AI research workflows * Collaborate with world-class data scientists and ML engineers * Solve high-impact, real-world data science challenges * Experiment with advanced modeling strategies and competition-grade validation techniques * Flexible engagement options ideal for Kaggle-level problem solvers

Job Description Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all. We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures. Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale. About the role: We are seeking an exceptional Data Scientist II to join our Central Data team. This role will report to the Director, Data Science & Analytics. This role is critical to shaping Garner's Product & Growth strategy - from evaluating the impact of our products to building models that drive engagement. You will collaborate with data, product & engineering to improve the effectiveness of Garner's member facing product – e.g., answering questions like, "what features of our product drive engagement?", "What is the best time of day and channel to outreach to members?", or "What data concepts do we need to build out to improve our understanding of what drives someone to engage with Garner?" Your work will directly impact our member-facing products and inform strategic product decisions. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: • Identify and measure success of product efforts through goal setting, AB testing, forecasting, and monitoring of key product metrics to understand trends, • Own projects end to end including problem definition, implementation, validation, & iteration, • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, including AI & machine learning models, • Collaborate cross-functionally with data scientists, product leaders, engineering & operations teams to shape how we define product & member engagement metrics, apply statistical rules, and model member behavior, • Synthesize & present your work to Garner leadership to drive company level decisions, • Contribute to improving data science practices, tooling, and documentationWhat you will bring to the team:, • 2+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing, • Excellent verbal and written communication skills, with ability to present information and analysis results effectively, • A demonstrated ability to independently solve difficult problems and deliver high quality results to senior stakeholders, • A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success, ideally in a startup environment Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $158,000 - $175,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at .

Job Description Capstone Integrated Solutions is a comprehensive services provider. Our team consists of outstanding professionals, highly experienced in designing, building, and supporting retail software. We see ourselves as a build-as-a-service provider who follows a repeatable business pattern that can be applied to a variety of platforms and verticals. Having a culture built on outcomes and delivery at the core of the business, Capstone is providing its customers with a complete suite of services for software development, system analysis, integration, implementation, and support, as well as the option to engage a single team to perform all the services they require. Who You Are and What You'll Do: Capstone Integrated Solutions is looking for a highly motivated and talented Data Scientist. In this role you will support hands-on analysis, data preparation, validation, and feature exploration to enable accurate predictive modeling. This is an execution-focused role ideal for someone who enjoys working closely with large datasets, uncovering patterns, and collaborating with senior data science leadership. Responsibilities: • Support data validation across historical and newly ingested datasets., • Analyze large datasets to identify trends, patterns, and feature relevance., • Assist with data preparation, cleansing, and transformation for modeling., • Collaborate with the Senior Data Scientist on feature understanding and engineering., • Evaluate data across multiple data zones to ensure consistency and accuracy., • Help refine predictive outputs to improve demand and pricing forecasts., • Professional experience as a Data Scientist or Applied Data Analyst., • Strong background in data preparation, validation, and exploratory data analysis (EDA)., • Experience working with historical time-series or pricing/demand datasets., • Proficiency with Python and common data science libraries (Pandas, NumPy, scikit-learn, etc.)., • Ability to collaborate effectively with senior technical leads and stakeholders., • Experience with AWS data services (S3, Glue, Athena, Redshift, SageMaker)., • Exposure to pricing, demand forecasting, or supply chain analytics., • Familiarity with structured PoC or prototype-driven projects., • Strong documentation and communication skills. "Our Culture": At Capstone, the central principles that we all adhere to, and the glue that holds us together, are our keystones. Our four keystones are: • "A Customer Obsessed, Delivery Focused, Culture", • We're driven to exceed our customers' expectations by listening, leading, solving problems, and delivering what we promise, • We aim to be the most dependable and trusted partner serving our customers. TRUST = CONSISTENCY x TIME, • "A Culture of Learning and Sharing", • We value "Lifetime Learners"; those who are hungry, competitive, curious, and self-motivated in their pursuit of knowledge., • Personal and professional growth depends on teamwork and continuous learning. By sharing knowledge, skills, ideas, and effort, we benefit our customers, ourselves, and our communities., • We recognize that the thoughts, feelings, and backgrounds of others are as important as our own. Everyone has something to learn and everyone has something they can teach., • Knowledge and ability are valued. Sharing knowledge and helping others learn new capabilities is valued exponentially., • "A Culture of Growth and Scalability", • Growth comes from not establishing barriers in your role. "Cross functional skill sets are valued and help us deliver to our customers in a truly agile fashion. It comes with understanding that when asked to do something new, you will need support, have questions, and make some mistakes along the way., • The most elegant solution is a simple solution. Simple doesn't mean easy. It's often more difficult to break a complex problem down into simple, scalable terms. We don't appreciate, or value, over architected solutions or superfluous coding., • Time is one of our most precious commodities. Scalability implies being respectful of this and passionate about making the most efficient use of each and every one of our team members time., • "All Work is Strategic", • No matter how small a project or assignment appears, every single engagement is an opportunity for us to prove ourselves, build trust, and develop relationships that last and grow, • Every task, interaction, and commitment matters Job Type: Full-time Short-term contract (month-or two) Benefits: • Remote work Capstone Integrated Solutions is an equal opportunity employer. We embrace and celebrate diversity and are committed to creating an inclusive and safe environment for all employees. Experience comes in many forms, and we're dedicated to adding new perspectives to the team. We encourage you to apply even if your experience doesn't perfectly align with what we have listed. We look forward to hearing from you. No Agencies Please!

A prominent tech company is seeking a Senior Data Scientist based in New York, with a robust background in Data Science and at least 8-10 years of experience in a product-focused software environment. This role involves shaping analytical strategies, driving execution excellence, and mentoring junio

Job DescriptionCompany Description VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description We're looking for a Principal Data Scientist to spearhead data science initiatives focused on news media and cable networks. You'll develop, apply and optimize AI & ML solutions to drive measurable improvements in engagement, subscriber growth, retention, and lifetime value. This role will partner with product, editorial, marketing, and leadership - identifying AI/ML opportunities, translating product & business needs into technical solutions, and translating recommendations to leadership. What you’ll do: • Leverage structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling., • Design and apply advanced statistical and machine learning techniques for feature engineering, segmentation, prediction, and optimization to support user and/or content personalization, including applications such as recommendation engines and/or dynamic paywalls., • Select and apply appropriate methods based on business context and data characteristics, including collaborative and content-based filtering, K-means, hierarchical clustering, logistic regression, XGBoost, matrix factorization, and neural networks., • Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy such as accuracy, sensitivity, specificity, ROC, AUC., • Develop and apply advanced analytics to understand consumer behavior patterns across digital touchpoints, including cross-channel attribution modeling, to enable data-informed retention initiatives., • Interpret complex analytical insights and translate them into clear, actionable business strategies that improve business outcomes., • Support scalable deployment of data products by following best practices in CI/CD processes and contribute to agile project management through tools like Jira for sprint planning, tracking, and team coordination., • Collaborate cross-functionally with technical and non-technical stakeholders to gather requirements, define project scope, and lead data science initiatives, demonstrating strong communication, leadership, and team-building skills. Qualifications, • Master’s or PhD in data Science, statistics, computer science, or related quantitative field, • 5+ years’ experience in data science roles with demonstrated impact on engagement, subscription and retention, • Advanced skills in Python and R, strong SQL proficiency, and hands-on experience with machine learning and/or AI libraries for building and deploying intelligent systems, • Leverage cloud platforms and big data tools (e.g. Databricks, AWS, Azure), staying current with evolving technologies and architecture for scalable data science workflows, • Strong background in building predictive churn models, CLV, NLP, causal inference and uplift modeling Salary: $180,000 - $210,000 (bonus and LTI eligible). This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to . VERSANT Media is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc. VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.

Job Description Alexander Group: Decades of experience growing revenue for global companies Alexander Group provides go-to-market consulting services to marketing, sales, service and talent leaders. With over 40 years of developing practical, executable solutions, we are singularly focused on helping commercial teams unlock their full potential and reach new revenue goals. With a robust network of offices, Alexander Group maximizes growth opportunities for our clients around the globe. Founded in 1985, we’ve served more than 3,000 companies around the world, across all industries. This experience gives us not only a highly sophisticated set of best practices to design go-to-market strategy—we also have a rich repository of industry data that informs all of our recommendations. Our dedication to revenue growth and sales strategy has led to: • More than 70% of our clients being Fortune 500 corporations, • Project work in more than 25 countries, • Extensive industry experience in B2B markets Position Overview: The Associate Commercial Data Scientist will work with multiple teams during their first months of employment, learning from both their direct peers in Alexander Group’s Commercial Analytics practice and from more business-oriented peers in Alexander Group’s general practice. This role will be client-facing. The Associate Commercial Data Scientist will work with project teams to present and interpret statistical analyses in business contexts. The Associate Commercial Data Scientist will be expected to interpret and tune machine learning algorithms, work in big data environments, apply statistical methods to develop robust solutions to client problems, have strong communication skills to communicate project findings to both internal and external stakeholders, and participate in client meetings. The combination of on-going coaching from the Commercial Analytics practice and the ability to engage with senior leadership enables the Associate Commercial Data Scientist to enjoy outstanding professional growth and career opportunities. This role will report to Alexander Group’s leader of Consulting Services. The firm’s culture, built on teamwork and meritocracy, empowers our professionals to support each other in their career development. Responsibilities: • Support teams engaged with big data environments, • Create, apply and interpret advanced statistical & machine learning approaches, • Advise teams with data preparation and model-building best-practices, • Use and develop communication skills to communicate project findings, conclusions and recommendations with your peers and clients, • Participate in client meetings to review and present analytical approaches and interpret results, • Build, rollout, and support the use of automated Alexander Group internal tools for project-related analytics, • Help standardize/consolidate modeling approaches for Alexander Group service offerings, • Support Commercial Analytics practice development (e.g., analytical trainings, new offering development, etc.) Qualifications: • Bachelor’s degree with solid academic achievement, • 1+ years of relevant professional experience, • Coursework in Mathematics, Economics, Data Science, Statistics or Computer Science strongly preferred, • Knowledge of supervised & unsupervised machine learning algorithms for regression/classification, • Proficiency with open-source data science languages like R or Python, • Experience with Data Visualization tools like PowerBI or Tableau, • Moderate to advanced Excel and PowerPoint skills are preferred, • Ability to manage multiple priorities/projects, • Problem solving skills for business problems, • Strong interpersonal and team working skills, • Good communication skills (written and verbal), • Ability to learn quickly and resourcefully, • High degree of motivation, flexibility and creativity, • Positive attitude and strong willingness to learn from mentors and peers, • Ability to travel (sometimes on short notice) Compensation: $90,000-$100,000 base; bonus eligible EEO Employer. Required Work Eligibility: Must be eligible to work in the U.S. at the time of application with no current or future restrictions or sponsorship necessary. TN visa accepted. Company DescriptionAlexander Group: Decades of experience growing revenue for global companies. Alexander Group provides management consulting services to the world’s leading organizations. When clients need to grow revenue, they look to Alexander Group for data-driven insights, actionable recommendations, and most importantly, results. Founded in 1985, we’ve served more than 3,000 industry-leading companies around the world. This experience gives us not only a highly sophisticated set of best practices to grow revenue — we also have a rich repository of industry data that informs all of our recommendations. Our dedication to revenue growth and sales strategy has led to: -More than 70% of our clients being Fortune 500 corporations -Project work in more than 25 countries -Extensive industry experience in B2B marketsAlexander Group: Decades of experience growing revenue for global companies.\r\n\r\nAlexander Group provides management consulting services to the world’s leading organizations. When clients need to grow revenue, they look to Alexander Group for data-driven insights, actionable recommendations, and most importantly, results.\r\n\r\nFounded in 1985, we’ve served more than 3,000 industry-leading companies around the world. This experience gives us not only a highly sophisticated set of best practices to grow revenue — we also have a rich repository of industry data that informs all of our recommendations.\r\n\r\nOur dedication to revenue growth and sales strategy has led to:\r\n\r\n•More than 70% of our clients being Fortune 500 corporations\r\n•Project work in more than 25 countries\r\n•Extensive industry experience in B2B markets

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 Company Overview Mantra Health is an award-winning digital mental health provider on a mission to make evidence-based care more accessible to students. We partner with colleges and universities to offer comprehensive virtual mental health services, including therapy, psychiatry, 24/7 crisis care, emotional wellness coaching, and self-care content. Our technology solutions seamlessly integrate with campus health systems to enhance student well-being and improve graduation rates. Recognized as a leader in digital mental health, Mantra Health was named a Rising Star by the UCSF Digital Health Awards and won Juniper Research's Gold Star for Best Digital Therapeutic Solution. Today, our programs support over 900,000 students across 125+ campuses, including Penn State, MIT, and Miami Dade College. We've raised over $34M from leading investors and we're looking for ambitious, talented, action-oriented individuals to join us in shaping the future of student mental healthcare. Opportunity for Impact Mantra Health is seeking a Senior Data Scientist to help advance Beacon, an intelligence platform designed to improve student well-being, success, and retention. This role sits at the intersection of product, engineering, and strategy—turning complex data into clear, actionable insights that help institutions understand not just what is happening, but what to do next. This is a highly visible, senior individual-contributor role with meaningful ownership and executive exposure. The right candidate brings strong analytical judgment, excellent communication skills, and the ability to translate data into compelling narratives that demonstrate real-world impact and ROI while continuously enhancing Beacon capabilities. What You'll Do • Build Data Products for Population Insights: Design and deliver data products that translate complex data into clear, actionable insights for Care Teams and partnering schools. Focus on population-level insights that support early identification, prioritization, and effective response to student needs., • Develop the Data Platform Across the Care Lifecycle: Build and evolve data infrastructure that supports the full lifecycle—from identifying student needs, to recommending pathways for support, to escalation and follow-up. Partner with engineering to ensure insights are delivered reliably, securely, and at scale., • Validate Impact with Product and Clinical Partners: Work closely with Product and Clinical teams to define success metrics and validate the efficacy of insights, interventions, and workflows. Ensure analytics align with clinical realities, ethical standards, and real-world care delivery., • Adaptable and Pragmatic: You are comfortable navigating ambiguity and evolving priorities. You adapt your approach as new information emerges and focus on practical solutions that balance rigor with speed., • Strong Analytical Judgment: You bring a solid foundation in statistics and applied analytics, with the ability to choose appropriate methods for the problem at hand. You understand concepts such as confidence intervals, bias, and tradeoffs, and apply them thoughtfully in real-world contexts., • Product-Oriented Data Scientist: You have experience working on analytics that directly influence product direction or business decisions. You understand how to define meaningful metrics, evaluate impact, and connect insights to outcomes., • Technically Proficient: You are proficient in Python and SQL and comfortable working with modern data stacks, pipelines, and large datasets. You value clean, well-documented, reproducible work and collaborate effectively with analytics and engineering partners., • Clear Communicator: You can explain complex analytical concepts to non-technical audiences and focus on the "so what." You tell compelling stories with data that resonate with executives, partners, and cross-functional teams., • Professional Experience: 4+ years of experience in data science, analytics, or a related field, including delivering analytics, models, or data products used in production environments., • Domain Experience: Experience working in healthcare, education, fintech, or other regulated or data-sensitive industries. Familiarity with healthcare or education data is a strong plus and will help you ramp more quickly., • Applied Product Analytics: Demonstrated experience applying data science in a product-driven context. You have worked on initiatives that directly informed product direction or business decisions, rather than purely exploratory or academic work., • Technical Proficiency: Strong proficiency in Python and SQL for data analysis. Comfortable working with large datasets, writing complex queries, and using Python-based libraries to clean, analyze, and interpret data., • Statistical Judgment: Solid grounding in statistical analysis and experimental thinking. You can design and evaluate analyses with appropriate rigor and clearly interpret results, balancing precision with practical decision-making., • Communication Skills: Proven ability to communicate insights and analytical concepts to diverse audiences. You can produce clear visualizations or presentations and explain the "so what" to inform decisions at multiple levels of the organization., • Cross-Functional Collaboration: A team-oriented mindset with experience working closely with Product, Engineering, Design, or Clinical partners to deliver shared outcomes., • AI & LLM Experience: Experience applying natural language processing techniques or working with large language models, even in experimental or early production contexts., • Production Analytics or ML Exposure: Experience supporting analytics or machine-learning systems in production, including validation, monitoring, or iteration over time., • Data Visualization & BI Tools: Familiarity with tools such as Looker, Tableau, or similar platforms for communicating trends and insights prior to full productization., • Impactful Opportunity: Your work will directly influence how institutions understand and support student mental health. The insights you deliver can guide real decisions that help students access care sooner and more effectively., • Professional Growth: This is a high-ownership role within a strategic product area. You'll deepen your analytical and technical skills while expanding your product thinking and business impact through close collaboration with senior leaders., • Collaborative Culture: At Mantra, we value empathy, inclusion, and intellectual curiosity. You'll join a mission-driven team that collaborates closely and supports continuous learning., • Career Advancement: As Mantra continues to grow, this role offers opportunities to expand scope and influence over time. We invest in our team's long-term success and support individuals as they take on increasing responsibility. Compensation & Benefits Compensation: $150,000 - $200,000 Pay range may vary by location and is commensurate with experience and market rates. At Mantra, our distributed team is our secret sauce that allows us to support our mission everyday. We're collaborative, empathetic, and curious. We take time to celebrate our wins and learn from our mistakes. Each full-time employee at Mantra enjoys: • Stock Options, • Medical, vision, and dental coverage for employees, spouses, and dependents, • 401(k), • Flexible work location, • Generous PTO, sick days, jury duty days, and bereavement. Three week sabbatical and $3,000 stipend after five years of continuous full-time employment, • Inclusive parental leave, equal for all parents, • $1,000 new-parent mental wellness benefit, • Commuter card, if you commute, • Access to One Medical, • Healthcare & Dependent Care FSA Join us in shaping the future of student mental healthcare through data! If you're excited by the opportunity to build life-changing technology and have the skills and passion to match, we'd love to meet you. Apply today to help us transform mental health support for the next generation. Note: This role is open to candidates based in the United States. We are a remote-friendly team (with a slight preference for New York-based candidates for occasional in-person collaboration). Mantra Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Protect Your Information: Mantra Health has been made aware of fraudulent recruitment activities where individuals pose as our hiring team. Please note that all official communications will come from an @mantrahealth.com email address. Click here to learn more.

Job DescriptionLead Research Scientist Location: Premier NYC Life Science Incubator Company: Circadian OS Commitment: Part-time (10–20 hrs/week) About Us Circadian OS is building a next-generation platform that combines personalized phototherapy with biomarker-driven insights to optimize circadian biology for improved therapeutic outcomes in oncology and beyond. We are expanding our R&D capabilities and seeking our first wet-lab scientist to establish foundational experimental workflows and build the company’s internal assay capabilities. Role Overview We are seeking a highly motivated, independent Part-Time Research Scientist with expertise in primary cell isolation, gene expression analysis, and molecular assays. This individual will establish Circadian OS’s wet lab within a premier NYC incubator, lead initial assay development, and operationalize the analytical workflows that will underpin our biomarker platform. This is a unique opportunity for a self-starter who thrives in early-stage environments and wants to directly shape the company’s experimental and analytical infrastructure. Requirements Key ResponsibilitiesLaboratory Setup & Operations • Establish and organize company lab space within a premier NYC incubator., • Source, evaluate, and order laboratory equipment, reagents, and consumables., • Coordinate with incubator lab management to ensure compliance with safety and operational requirements., • Develop and maintain SOPs and documentation for experimental workflows, equipment use, and sample handling.Assay Development, Execution & Troubleshooting, • Isolate monocytes from fresh human blood using standard protocols (e.g., Ficoll, adherence, MACS)., • Perform high-quality RNA extractions and ensure sample integrity., • Execute gene expression profiling using established RNA expression methods (e.g., qPCR, targeted panels, RNA expression profiling workflows). Experience with NanoString is a plus but not required., • Set up, optimize, and validate company-specific assays, including troubleshooting experimental issues and improving protocols.Data Analysis & Benchmarking, • Establish analytical workflows to process gene expression data, including quality control and normalization., • Validate and benchmark expression results across replicates, conditions, and platforms., • Compile, interpret, and present results to scientific leadership., • Contribute to experimental design and next-step recommendations based on analytical insights.Cross-Functional Collaboration, • Work closely with leadership to align lab activities with scientific and product development goals., • Communicate progress, challenges, and data clearly and proactively., • Support planning for lab growth, additional assay technologies, and future R&D expansion.Qualifications, • Master’s or PhD in Molecular Biology, Immunology, Cell Biology, Bioengineering, or a related field., • Hands-on experience isolating monocytes from blood is required., • Hands-on experience performing RNA extractions is required., • Experience with RNA expression profiling methods (e.g., qPCR, targeted panels). NanoString experience is a plus but not required., • Strong troubleshooting skills and comfort operating independently as the first wet-lab hire., • Prior experience setting up or running a small research lab highly preferred., • Strong organizational, experimental design, and communication skills., • Familiarity with incubator environments and shared lab operations is a plus., • Experience with basic computational analysis of gene expression data (R, Python, or vendor software). Benefits Compensation • Compensation range (required by NY law): $40–$70 per hour, depending on experience and qualifications.What We Offer, • Flexible part-time schedule (10–20 hrs/week)., • Opportunity to establish foundational wet-lab capabilities without the demands of a full-scale lab buildout., • Direct impact on experimental strategy, biomarker development, and early R&D priorities, with a scope appropriate for a part-time role.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at the Role CoreWeave is seeking a Data Scientist I to serve as part of the technical enablement team for the Capacity Management, Planning, and Delivery teams. In this role, you will build the analytical substrate that allows our planners to navigate the complexities of a global AI hyperscaler. You will be responsible for transforming raw telemetry from our GPU, CPU, and storage fleets into high-fidelity decision-making tools. By bridging the gap between raw data sources and operational execution, you will ensure that Capacity Planners have the real-time visibility and automated workflows required to optimize billions of dollars in infrastructure assets. Key Responsibilities • Operational Tooling & Visualization: Build and optimize sophisticated dashboards in Tableau and Omni Analytics that provide Capacity Managers with a clear view of supply-demand imbalances and hardware utilization., • Agentic Architecture: Support the build-out of autonomous AI agents by designing the underlying workflows, mapping necessary input data tables, and establishing rigorous testing protocols to ensure output accuracy., • Insight Synthesis: Programmatically extract and analyze data using SQL and Python to identify meaningful trends, translating these findings into concise, executive-level reports., • Systems Management: Maintain all analytical code within GitHub, ensuring that the tools provided to the planning team are version-controlled, scalable, and reproducible., • High-Granularity QA: Execute deep-dive audits of data pipelines and reporting outputs to guarantee the absolute accuracy of the metrics used for global capacity decisions., • Process Documentation: Create comprehensive technical documentation for all new workflows, input/output schemas, and data transformations to facilitate team-wide scalability., • Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Statistics, or Mathematics., • Technical Proficiency:, • Programming: Strong proficiency in Python and SQL. Ability to write HTML for custom tool interfaces is a plus., • Modern Stack: Hands-on experience with GitHub for version control and Tableau for data visualization. Familiarity with Omni Analytics is preferred., • Development AI: Comfort using AI-augmented coding environments (e.g., Cursor) to increase output velocity., • Quantitative Foundation: Solid understanding of statistics and machine learning algorithms, with the ability to apply the right model to specific operational challenges., • Communication: Proven ability to synthesize complex data into clear, informative narratives for both technical peers and non-technical executives., • Detail Orientation: A "fanatical" approach to data integrity, ensuring every dashboard and report is verified at the most granular level. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job Description CVector’s mission is to bring real time economic optimization and AI prediction to every energy and manufacturing plant. Industrial facilities make decisions every minute that determine cost, reliability, and margin, but the signals that matter live in different worlds: live asset constraints and process reality on one side, feedstock prices, product prices, demand, and market dynamics on the other. We fuse those worlds into one decision layer that continuously forecasts what is coming, simulates what could happen, and optimizes what to do next, so plants can run closer to their true economic potential every day. This position works from our New York City office four days per week. CVector has customers across the United States and operates real-world systems in demanding industrial environments. Role Overview The Research Engineer plays a critical role in advancing our industrial and energy modeling, machine learning, and analysis capabilities, supporting customers in achieving their economic, operational, and sustainability goals. These modeling and analysis capabilities are mission critical and underpin the knowledge base for CVector's AI Agents. They ensure customers are receiving robust, reliable recommendations from our AI Agents that are bound by real equipment and facility constraints. You will report to the CTO and develop and implement models and analytical tools for standardized products and bespoke customer needs. Specifically, you will be developing and deploying CVector's techno-economic analysis (TEA) and linear programming (LP) models to inform and recommend to our customers how to operate their facilities more profitably, with lower energy costs and reduced emissions. You will also develop and work with our library of ML and AI time series algorithms for anomaly detection, forecasting, and predictive equipment failure. This role is ideal for an experienced energy modeler or data scientist with substantial experience in the energy or industrial sectors. We seek someone who thrives in startup environments and enjoys cross-functional work that supports founders, investors, customers, and team members alike. Responsibilities As a Research Engineer, you will collaborate with our team and be responsible for: • Ensuring CVector's modeling and analysis ecosystem supports and enhances our AI Agent experience, • Developing and integrating with market data APIs for energy and commodity prices, carbon intensity, and weather forecasts., • Implementing a host of time series analysis techniques including AI/ML-drive methods for energy forecasting and predictive failure., • Developing and using our algorithm training architecture to ensure quality results for our customers., • Developing and deploying TEA and LP models to optimize equipment and facility operations., • Preparing and delivering TEA and LP model results to customers to inform their development and facility expansion plans., • Collaborating directly with customers to refine and deploy solutions tailored to their project operational needs., • Analyze customer data with a host of statistical methods and tools to distill actionable recommendations for customers. Our current modeling and analysis stack is Python-based and includes modern CI/CD workflows managed through GitHub. A strong candidate will bring many (but not necessarily all) of the following: • 5+ years of experience and/or advanced degrees in industrial or energy analytics and techno-economic analysis or ML and statistics applied in industry, preferably in an early-stage or growth-stage company, • Demonstrated strength in Python, • Working knowledge of energy and commodity markets, • Comfortable managing multiple analytical projects at once, • High attention to detail and ability to prioritize independently in a low-structure, high-trust environment, • Excitement to utilize the latest AI tools to accelerate your work, while maintaining an eye on quality, • Ability to rapidly prototype while acknowledging limitations CVector provides team members with: • A competitive compensation package with meaningful equity upside, • A robust selection of health, dental, and vision insurance options, • Optional Health Flexible Spending Account (FSA), • Unlimited PTO with a three week minimum per year, plus additional sick days, • Top of the line work equipment and IT setup, including high performance laptops and a modern developer stack, • Unlimited access to the latest AI agent systems and productivity tools to help you move faster and build better, • Visa support for candidates currently based in the US, including employer sponsored visa applications where applicable Why This Role Matters at CVector CVector's TEA models and time series algorithms inform operators at $100+ million industrial facilities where changes in operations can results in millions of dollars of savings. We need the best and brightest team to ensure our models are top of the line and stress tested against corner cases that could lead to poor recommendations. If you enjoy deeply understanding physical systems, advocating for customers, and driving real-world decisions, this role will give you both ownership and impact.

Job Description About VantageScore At VantageScore we drive impact for good on a massive scale impacting tens of millions of people across the United States. Our mission is to be the leading credit modeling company delivering the most predictive, most innovative, and most inclusive tri-bureau models and attributes in the US market. Our innovation is increasing access for millions more Americans to financial products and homeownership. Our models are among, if not the most, inclusive in the United States and power billions of credits scores a year. We are fueled by a growing, exceptionally talented team and are actively seeking individuals who can join us in driving us toward our ambitious goals. At VantageScore, you'll have the unique opportunity to work within a fast-paced, independent start-up culture while enjoying the financial stability that comes from being backed by the three leading US credit bureaus. VantageScore® consumer credit scoring models combine the need for both financial inclusion and dependable predictiveness across all scoring ranges. An industry thought leader and technology innovation leader, the company's most recent models score approximately 94 percent of all adults 18 and older - including 33 million more people than conventional models - without sacrificing safety and soundness. As a result, lenders using VantageScore can extend credit to those who have been historically marginalized, including minority and lower-to-middle-income Americans. VantageScore credit scores are used by over 3,700 banks, fintechs and other companies use VantageScore credit scores every day to assess consumer creditworthiness. Last year, over 42 billion VantageScore credit scores were used representing a 55% yearly increase. All 10 US banks use VantageScore credit scores or digital tools in one or more line of business. Starting in 2025 the FHFA has required VantageScore credit scores to be used for all mortgages sold to, or guaranteed by, Fannie Mae and Freddie Mac. Get started using VantageScore credit scores today - we are the leader in predictive power and financial inclusion. About The Role We are seeking a highly motivated and innovative Senior Data Scientist (AI/ML) to join our brilliant team of analytics professionals and developers, supporting the cutting-edge development of credit scoring models, generation of unique insights, and delivery of transformative technologies rooted in innovative value propositions. In this role, you will be essential to credit score model innovation, credit and open banking related research initiatives, pilot program analyses with lenders and fintech partners, and ongoing model monitoring and reporting processes. You'll bring your expertise in AI/ML and GenAI/Large Language Models (LLMs) to advance our use of structured and unstructured data to deliver new products and insights. You'll partner cross-functionally to deliver scalable AI-powered products and solutions that redefine how consumers engage with credit - ensuring our models are accurate, explainable, and aligned with our mission to empower responsible lending and financial inclusion. Key Responsibilities • Conduct advanced research on structured and unstructured data, developing insights to support product management and new product development., • Contribute to the design, development, evaluation, and deployment of machine learning (ML) models, including credit risk and predictive models., • Serve as the team's expert on GenAI/LLMs, adapting and fine-tuning models and ensuring explainability and compliance., • Drive pilot program analyses, including back-testing, rejection inference, and performance analyses using diverse data sets., • Improve and maintain existing model monitoring processes and develop compelling data visualizations and dashboards to communicate key insights to stakeholders., • Partner with engineers to operationalize models into production systems, ensuring scalability and resilience at high data and inference volumes., • Research and apply emerging AI/ML, GenAI/LLM technologies, staying abreast of state-of-the-art methods, tools, and best practices., • Translate complex analyses into clear, actionable business recommendations for both technical and non-technical audiences., • Master's or PhD degree in a quantitative field (e.g., Data Science, Applied Mathematics/Statistics, Computer Science, Engineering, Econometrics)., • A minimum of 5 years of professional experience in advanced analytics, AI/ML/LLM, and data science in research and/or corporate environments., • Proficiency in Python for data science and machine learning workflows., • Proven experience with machine learning techniques (classification, clustering, regression, neural networks) for predictive risk and credit modeling., • Strong track record of conducting research, developing analyses, and producing clear and impactful presentations or publications., • Experience delivering insights and solutions that drive business impact., • Deep expertise in GenAI - Natural Language Processing (NLP) and Large Language Models (LLMs) - including training, fine-tuning, explainability, and deployment., • Deep expertise in advanced ML techniques (self-supervised learning, training optimization, explainability) with focus on credit scoring., • Proficiency with modern ML/AI technology stack, such as PyTorch, AWS and related tools., • Experience delivering innovative, scalable AI/ML solutions integrated into production platforms., • High-level analytical problem-solving ability, with creativity in defining and solving ambiguous problems., • Exceptional communication skills, able to convey technical concepts to diverse stakeholders., • Salary Range: 150K Base + Bonus Are you a Senior Data Scientist who thrives on innovation and has a deep passion for fintech? We invite you to take the leap and join our team. Together, let's embark on a mission to redefine the industry and propel your career to new heights at VantageScore!

Job Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role: As a member of our Data Science staff, you’ll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master’s or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $160K - $220K

Job Description BGB Group Data Scientist Our Agency BGB Group is a healthcare communications agency that offers a wide range of services, including traditional pharmaceutical advertising, promotional medical education, payer marketing, and consulting services. Known for excellence and professionalism, we're hired as strategic and creative partners by our biopharmaceutical clients to drive category/brand awareness and growth. Position Overview We're seeking a Data Scientist to deliver high-impact analytics solutions and translate data into actionable business insights. You'll execute analytical projects, develop data visualizations, and conduct statistical analyses to support business decisions. A Day in the Life • Execute analytics projects and conduct exploratory data analysis to uncover business insights, • Extract insights from structured and unstructured datasets using advanced data modeling, • Develop advanced analytical solutions using SQL, cloud platforms, and analytics tools; ensure data quality, • Conduct statistical modeling, predictive analytics, and data-driven investigations, • Create compelling data visualizations and dashboards using Tableau, Excel, and similar platforms, • Present findings and recommendations; communicate complex analyses into clear insights for stakeholders, • Work with provided requirements and deliver technical analyses with minimal oversightWhat You'll Need, • Proficiency in SQL, Python, and a cloud platform (GCP BigQuery preferred), • Strong data visualization and communication skills—translating technical findings for stakeholders, • Experience working independently and maintaining quality standards, • Problem-solving mindset for complex data challenges, • Comfortable with using LLMs and Agents (experience with LangChain a plus)Preferred Qualifications, • Experience with attribution modeling, cohort analysis, or predictive analytics (experience with structured and unstructured medical claims data strongly preferred), • Proficiency in data pipeline development and automation, • Experience with experimentation design and statistical testing, • Experience working with healthcare data and knowledge of United States' healthcare system, • Experience managing freelance or consulting engagements, • Some overlap with EST and GTM Salary range: $150,000-$180,000 The salary range provided represents what a potential hire may expect to earn in this role at BGB. Actual salary decisions will be influenced by several factors that we use to determine overall fit, including experience (both direct and indirect), education, training, demonstrated qualifications, and organizational need. Salary is only one component of the total rewards package offered at BGB Group. BGB Group is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, sex, age, national origin, citizenship status, sexual orientation, disability, veteran status or any category or class of person protected by law.

Job Description Job Title: Clinical Laboratory Technologist – Level V (Full-Time) Location: New York, NY 10029 Schedule Shift: Day Shift Days: Monday – Friday Time: 9:00 AM – 5:00 PM Hours per Week: 35 Compensation & Benefits Salary: $120,000 – $133,468 per year This is an excellent opportunity to work in a highly specialized clinical laboratory environment supporting advanced diagnostic services and patient care. Position Overview A healthcare organization in New York is seeking an experienced Clinical Laboratory Technologist – Level V to support and supervise operations within the Clinical Chemistry Laboratory. This role requires strong technical expertise and leadership skills to ensure high-quality laboratory testing, regulatory compliance, and efficient laboratory operations. The technologist will oversee testing personnel, maintain quality assurance standards, and ensure compliance with accreditation and regulatory guidelines. The ideal candidate will have significant experience in clinical chemistry laboratory supervision, quality control monitoring, and laboratory compliance standards. Key Responsibilities * Supervise laboratory testing personnel and ensure adherence to performance standards * Monitor quality control programs, instrument maintenance, and laboratory quality assurance procedures * Ensure compliance with laboratory SOPs, safety protocols, and regulatory requirements * Review laboratory test results and ensure accuracy before reporting * Manage proficiency testing programs and competency assessments * Train and orient laboratory staff and maintain competency standards * Maintain proper documentation and records in accordance with CLIA standards * Monitor laboratory equipment performance and testing accuracy * Track reagent inventory, expiration dates, and laboratory supplies * Ensure proper specimen handling across pre-analytic, analytic, and post-analytic phases * Coordinate staffing schedules and support daily laboratory workflow * Assist with hiring, training, and performance evaluations of laboratory personnel * Promote a safe, collaborative, and compliant laboratory environment Required Qualifications * Valid New York State license as a Clinical Laboratory Technologist, Cytotechnologist, or Histotechnologist issued by NYSED * Bachelor’s Degree in Chemical, Biological, Clinical Laboratory Science, or Medical Technology * Minimum 4 years of experience as a Clinical Laboratory Technologist qualifying for a regulatory or accreditation supervisory role * Clinical Chemistry laboratory supervisory experience required Preferred Qualifications * Medical Laboratory Scientist (MLS) certification from ASCP preferred Knowledge & Skills * Strong knowledge of laboratory medicine, workflows, regulatory requirements, and biosafety standards * Experience with Laboratory Information Systems (LIS) and laboratory middleware applications * Strong leadership and team management skills * Excellent communication, analytical, and problem-solving abilities * Ability to manage multiple priorities in a fast-paced clinical environment * Strong attention to detail and commitment to quality assurance For more details contact at or Call / Text at 516-862-1169. About Navitas Healthcare, LLC certified WBENC and one of the fastest-growing healthcare staffing firms in the US providing Medical, Clinical and Non-Clinical services to numerous hospitals. We offer the most competitive pay for every position we cater. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.

Job Description Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless 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: Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions. This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions, • Own projects end-to-end, including problem definition, implementation, validation, and iteration, • Deliver high-quality analytical and modeling outputs with limited manager oversight, • Collaborate closely with data science peers and cross-functional partners across business units, • Help ensure data science processes and outputs align with broader team strategies and roadmaps, • Provide guidance or informal mentorship to junior data scientists or analysts when needed, • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both), • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data, • Master's degree in a quantitative or technical field, • Knowledge of or previous work experience in health care or health insurance, • Experience mentoring or supporting junior team members 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. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. 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. 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 Privacy Policy.

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Senior Associate, Data Scientist, you'll work alongside experienced data scientists and ML engineers to design, develop, and apply data-driven models and analyses that deliver measurable business value. Reporting to the Executive Director of AI Science, you'll gain hands-on experience working on impactful projects across the enterprise, applying advanced analytics and machine learning to areas such as financial services, insurance, and operations optimization. This is a high-growth opportunity for someone with early industry experience (or strong academic grounding) in data science and applied statistics, eager to deepen their expertise and grow within a dynamic AI team working at the frontier of applied analytics and machine learning. Key Responsibilities: • Contribute to the development of predictive and statistical models addressing business-critical challenges across diverse domains., • Conduct exploratory data analysis, feature engineering, and hypothesis testing to uncover patterns and support model development., • Collaborate with senior data scientists and ML engineers to refine models, improve accuracy, and enhance interpretability., • Support the design and evaluation of experiments and A/B tests, ensuring rigorous measurement of impact., • Clean, transform, and prepare data from diverse sources, ensuring high-quality datasets for analysis., • Build dashboards, reports, and visualizations that communicate insights clearly to technical and non-technical stakeholders., • Stay current with emerging data science methods and tools (e.g., generative AI, LLMs, causal inference) and apply them through prototyping. Qualifications: • 5+ years of experience applying data science or advanced analytics in a professional setting., • Solid understanding of statistical modeling, machine learning fundamentals, and experimental design., • Experience with predictive modeling techniques such as regression, classification, clustering, or time-series forecasting., • Proficiency in Python and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost, PyTorch, TensorFlow)., • Strong experience with SQL and data manipulation across large datasets., • Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Tableau, or Power BI). Exposure to modern collaborative data platforms (e.g., Databricks, Snowflake, Palantir Foundry) is a plus., • Excellent problem-solving skills, eagerness to learn, and ability to work in fast-paced, evolving environments., • Strong written and verbal communication skills, with the ability to translate technical findings into business recommendations., • Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative field. Publications in top data science / ML conferences or journals (e.g., NeurIPS, ICML, KDD, ACL, or similar)., • Open-source contributions to the data science or ML community (libraries, notebooks, packages, or tutorials). Experience presenting research or applied work at meetups, workshops, or industry conferences., • Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and LLM application frameworks., • Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services., • Drive AI transformation for some of the most sophisticated financial entities., • Competitive compensation, benefits, future equity options, and leadership opportunities. Position Location This is an onsite position based in Manhattan in New York City. Compensation The base salary for this position is $190,000-$200,000 USD. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high-impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data-driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision-making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists. Key Responsibilities: • Lead the design and execution of data science projects that solve complex business problems across critical workflows., • Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning., • Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities., • Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM-based analytics, simulation modeling, RAG for knowledge discovery)., • Collaborate with ML engineers to scale prototypes into production-ready systems, ensuring reliability, fairness, and generalizability., • Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact., • Communicate findings through compelling data storytelling, dashboards, and executive-level presentations., • Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations. Qualifications: • 8+ years of experience in data science or applied statistics roles, with a proven track record of driving measurable business impact., • Expertise in one or more of supervised and unsupervised machine learning, deep learning, time series analysis, causal inference, and statistical modeling., • Experience leading end-to-end data science projects from ideation to delivery, including business scoping and stakeholder management., • Strong proficiency in Python (or R), with deep experience using modern data science libraries (e.g., Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Statsmodels)., • Solid foundation in SQL and data wrangling across large, complex datasets., • Hands-on experience with experimentation platforms, data visualization, and dashboarding tools (e.g., Tableau, Power BI, Plotly)., • Familiarity with cloud-based data platforms (AWS, GCP, Azure) and collaborative tools (Databricks, Snowflake) is a plus., • Exceptional ability to translate technical results into clear, actionable insights for senior executives and non-technical audiences., • Master's or PhD in Statistics, Data Science, Computer Science, Economics, or a closely related discipline. Preferred Qualifications: • Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments., • PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline. Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks)., • Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups., • Experience mentoring teams at scale and establishing standards for reproducibility, experimentation, and responsible AI., • Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. Position Location This is an onsite position, with flexibility, based in our New York City office. Compensation The base salary for this position is $290,000-$299,000. A discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny’s Podcast Forbes AI 50 Fast Company Our Investors We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the Role We’re looking for a Data Scientist to help power our marketing strategy. In this role, you’ll partner with Marketing, Product, and Finance to improve acquisition performance, refine attribution, and build the measurement foundations that guide our company’s growth. As the first Data Scientist dedicated to marketing analytics, you will define core success metrics, evaluate funnel performance, and uncover insights that shape our go-to-market strategy. Key Responsibilities * Analyze acquisition, lifecycle, and overall marketing performance to surface trends, identify funnel gaps, and highlight opportunities to improve efficiency and customer value. * Build and maintain predictive models that support forecasting, customer understanding, targeting, and personalization. * Develop and improve marketing measurement frameworks to better understand channel impact, attribution, and drivers of growth. * Conduct deep analyses of customer behavior, segments, and retention patterns to inform marketing and product strategy. * Design, run, and evaluate experiments (e.g., A/B tests) to measure the impact of marketing initiatives and guide decision-making. * Assess multi-channel campaign performance and provide clear recommendations to marketing partners to improve outcomes. * Work closely with cross functional teams and leadership to enhance data quality, evolve marketing datasets, and support scalable analytical workflows. * Communicate insights clearly and effectively, turning complex analyses into actionable recommendations for leadership and cross-functional teams. Requirements * Minimum of 5 years of experience in data science, marketing data science, or growth analytics within B2C, B2B, e-commerce, or SaaS environments. * Advanced proficiency in SQL and Python, including experience with data manipulation libraries and statistical modeling. * Hands-on experience with modern cloud data warehouses (e.g., BigQuery) and building scalable data models or pipelines for analytics. * Strong understanding of marketing measurement, including CAC, CLV, ROAS, funnel analytics, incrementality testing, and attribution methods (MMM, MTA, SKAN). * Experience with predictive modeling, such as LTV, churn, conversion propensity, clustering, and time-series forecasting. * Familiarity with mobile measurement partners, including AppsFlyer or Adjust, and mobile attribution concepts. * Experience designing and evaluating experiments, with a solid grounding in statistical testing, causal inference, and uplift modeling. * Demonstrated ability to work cross-functionally, partnering with Marketing, Product, Finance, and Data Engineering stakeholders. * Exceptional analytical and problem-solving skills, with the ability to break down ambiguous problems and operate autonomously in fast-paced environments. * Clear and effective communication skills, with the ability to convey complex technical insights to non-technical audiences. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $150K - $200K

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 doesn’t 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 · Bachelor’s 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 Clinical Laboratory Technologist Employment Type: Permanent | Full-Time | Day Shift | Monday - Friday Location: New York, NY Department: Clinical Laboratory Compensation: Competitive | Commensurate with Experience We are seeking an experienced Clinical Laboratory Technologist – Level V to join a large academic medical center in New York City. This senior role combines hands-on laboratory testing with supervisory oversight, quality management, and operational leadership. The ideal candidate brings deep technical expertise, a commitment to patient safety, and the ability to lead a high-performing laboratory team. Key Responsibilities: • Supervise testing personnel; monitor QC, instrument maintenance, and quality assurance activities to ensure performance specifications are consistently met, • Initiate corrective/preventive actions when test systems deviate from established standards; ensure results are not reported until issues are resolved, • Verify staff training and proficiency prior to independent patient specimen testing; conduct and oversee competency assessments, • Perform preliminary review of proficiency testing, test methodology studies, and monthly QC/calibration/maintenance records, • Follow and enforce pre-analytic and analytic procedures; maintain thorough documentation of all tests, QC activities, and corrective actions, • Oversee full specimen lifecycle (pre-analytical through post-analytical), inventory management, and environmental condition monitoring, • Coordinate department staffing and scheduling; assist with hiring, training, and performance appraisals, • Ensure effective shift-to-shift communication on pending tasks, compliance items, and patient care priorities, • Manage departmental functions including financial oversight, site operations, and institutional PI processes; develop and implement processes to achieve strategic goals, • Bachelor's degree in chemical, biological, or clinical laboratory science, or medical technology, • Valid NYS Clinical Laboratory Technologist license (NYSED) required, • Minimum 4 years of clinical laboratory technologist experience qualifying as a regulatory/accreditation supervisor, • Medical Laboratory Scientist (MLS) certification from ASCP strongly preferred, • In-depth knowledge of laboratory operations, regulations, biosafety, and LIS/middleware applications, • Comprehensive medical, dental, and vision coverage, • Retirement savings plan with employer contributions, • Generous paid time off, holidays, and personal days, • Tuition reimbursement and continuing education support, • Employee Assistance Program (EAP), • Life insurance and disability coverage

Job Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. Responsibilities • Identify valuable data sources and automate collection processes, • Undertake to preprocess of structured and unstructured data, • Analyze large amounts of information to discover trends and patterns, • Build predictive models and machine-learning algorithms, • Combine models through ensemble modelling, • Present information using data visualization techniques, • Propose solutions and strategies to business challenges, • Collaborate with engineering and product development teams Requirements • Proven experience as a Data Scientist or Data Analyst, • Experience in data mining, • Understanding of machine-learning and operations research, • Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset, • Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop), • Analytical mind and business acumen, • Strong math skills (e.g. statistics, algebra), • Problem-solving aptitude, • Excellent communication and presentation skills, • BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job Description (Associate) Director, Clinical Scientist (Remote) Key Responsibilities • Provide scientific and strategic leadership in the planning and execution of clinical trials, including protocol development, study design, and data analysis., • Author and review clinical protocols, ICFs, CSRs and regulatory documents, • Collaborate closely with cross-functional teams, including Clinical Operations, Regulatory Affairs, Biostatistics, and Medical Affairs, to ensure the successful conduct of clinical studies., • Interpret clinical data, prepare study reports, and contribute to regulatory submissions and presentations for internal and external stakeholders., • Support investigator meetings, advisory boards and data monitoring committee meetings, • Stay current with emerging scientific literature, competitive landscape, and regulatory requirements relevant to Immuneering’s oncology therapeutic area., • Support the development of clinical development plans and contribute to the strategic direction of ongoing and future programs., • Work closely with CRO’s and have a can do, proactive biotech mindset. Qualifications & Education · PhD, PharmD, RN, or MD in a relevant scientific discipline (e.g., biology, pharmacology, medicine). · Minimum of 5-8 years of experience in clinical development within the pharmaceutical or biotechnology industry. · Direct Phase 3 oncology clinical trial experience required. · Demonstrate experience authoring and reviewing clinical documents. · Demonstrated strong experience in clinical trial execution and data interpretation. · Strong analytical, organizational, and communication skills. · Deep understanding of oncology clinical development, endpoints and regulatory expectations. Technical / Soft Skills · Excellent cross-functional communication and stakeholder management. · Ability to work collaboratively in a fast-paced, team-oriented environment. · Must be a strong champion of our Values: All in, Data Rules, Care, Humble, Own It (Accountable) Physical Demands/ Working Conditions The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Requires prolonged sitting, some bending, stooping, and stretching. Requires eye-hand coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment. Requires the ability to perform essential job functions with or without reasonable accommodation. No significant lifting is associated with the role. While extensive travel is not anticipated with this role, it is possible to perhaps up to 15% at times. Requires prolonged sitting, some bending, stooping, and stretching. Requires eye-hand coordination and manual dexterity sufficient to operate a keyboard, photocopier, telephone, calculator, and other office equipment. Requires normal range of hearing and eyesight to record, prepare and communicate appropriate reports. No significant lifting is associated with the role. Immuneering is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission. Job Offers: Immuneering uses the Immuneering.com domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam. Note to Recruitment Agencies: We appreciate your interest in finding talent for Immuneering but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Immuneering without a prior written agreement in place will be considered property of Immuneering, and no fee will be paid in the event of a hire. Thank you for your understanding.

Job DescriptionCompany Description At Fun.xyz, we believe a tokenized future is a beneficial inevitability, granting financial emancipation to everyone with an internet connection. For a blockchain-first global economy to exist, value exchange must become intuitive, secure, and seamless. Enter Checkout — the highest converting payment solution in web3. By integrating Checkout, dApps enable users to complete any on-chain action using crypto from a wallet, centralized exchange, or on-ramped fiat from a card or bank account. With access to market-leading routing and their asset portfolio at the point of sale, users are faster, stickier, and more engaged. For dApps, Checkout scales their user acquisition potential without launching new chains or integrating multiple third party providers. We built Checkout because we envision a world where anyone, anywhere, can purchase anything with any asset. If that sounds like a vision you can get behind, we want to hear from you. Role Overview We’re looking for a Data Scientist to supercharge our data-driven strategy and ensure we’re building the right things at the right time. You’ll be embedded in the heart of our product and engineering teams, shaping insights that guide strategy, uncover user behavior, and optimize execution across Fun.xyz. This role is perfect for someone who thrives in fast-paced, ownership-driven environments, loves solving open-ended problems, and is excited about the potential of blockchain data.Responsibilities • Design and build scalable data models to analyze transaction flows and user behavior, • Support the optimization of data transformations, pipelines, and workflows, • Work directly with the CFO to provide insights on the business’ performance, • Maintain data quality, observability, and reproducibility across analytical systems, • Partner with engineers and product teams to deliver actionable, production-grade insights, • Run experiments, apply causal inference, and drive evidence-based product decisions, • Translate complex data into clear stories for both technical and non-technical stakeholdersRequirements, • Proficiency in Python and SQL (5+ years), • Strong background in statistical analysis, experimentation, and causal inference, • Familiar with analyzing end-user behavior for optimization (A/B testing, conversion rates, etc.), • Skilled in modern data platforms (Redshift, Snowflake, Databricks, etc.) and orchestration/transformation tools (dbt or similar), • Deep curiosity about crypto, DeFi, on-chain data, and Web3 infrastructureNice To Have, • Experience analyzing large-scale transaction or financial datasets, • Hands-on experience with ML/AI libraries (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow), • Familiarity with market dynamics (spreads, slippage, liquidity, etc.), • A track record of thriving in ownership-heavy, fast-moving environments

Job DescriptionContractRemoteRole DescriptionAs a remote, hourly paid R Engineer, you will review AI-generated responses and generate high-quality R and data-analysis-focused content, evaluating the reasoning quality and step-by-step problem-solving behind each solution. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in statistical methodology or data-wrangling workflows; fact-check analytical results; write expert-level explanations and model solutions that demonstrate correct use of R; and rate and compare multiple AI responses based on correctness and reasoning quality. This contract role is with, a fast-growing AI Data Services company and subsidiary of that provides AI training data for many of the worlds largest AI companies and foundation model labs, directly helping to improve the worlds premier AI models.Your Profile • 2+ years of hands-on experience using R for data analysis, statistics, or data science work., • Strong proficiency in R programming, including data wrangling, functional programming patterns, and writing reusable functions or packages., • Solid grounding in applied statistics, including regression, inference, and model validation, with practical experience implementing these methods in R., • Experience building end-to-end analyses in R that include data cleaning, exploratory analysis, modeling, and visualization., • Familiarity with common R ecosystems such as tidyverse, data.table, and ggplot2, and the ability to choose appropriate tools for a given task., • Professional experience in a data-focused role such as data scientist, statistician, quantitative analyst, or similar., • Minimum Bachelors degree in Statistics, Mathematics, Computer Science, or a closely related quantitative field., • Significant experience using large language models (LLMs) to assist with coding, analysis design, and code review in R., • Excellent English writing skills with the ability to document analyses and explain complex statistical ideas clearly to non-experts., • Previous experience with AI data training or model evaluation is strongly preferred, and Minimum C1 English proficiency is required.Key Responsibilities, • Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects., • Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance., • Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityWe are seeking a talented and forward-thinking alloys Materials Scientist with expertise in materials research and development to join our innovative team at the forefront of interdisciplinary research. In this role, you will leverage cutting edge experimental techniques to accelerate materials discovery, design, and optimization, contributing to groundbreaking advancements in materials science.Mission • Design and execute experiments to synthesize and characterize materials, leveraging AI algorithms to guide experimental design and interpretation., • Analyze and interpret large datasets generated from experiments, simulations, and external sources to extract valuable insights into materials properties and behavior., • Work closely with AI scientists and engineers to translate materials properties, identify structure-property relationships, and optimize materials performance for specific applications., • Stay current with advancements in materials science theory and experimentation and apply new methodologies and techniques to advance research objectives., • Communicate research findings effectively through technical reports, presentations, and scientific publications, contributing to the dissemination of knowledge and the development of intellectual property.About you, • PhD or Masters degree in Materials Science, Chemistry, Chemical Engineering, Polymers, or a related field, • Strong background in materials science principles, including materials synthesis and characterization., • Deep knowledge of materials characterization and testing, as well as familiarity with laboratory safety protocols., • In-depth industry knowledge of metal synthesis, including potentials, limitations, and key process and equipment suppliers., • Specialized metallurgical knowledge and experience in metallographic and fractographic interpretation, corrosion, oxidation and materials characterization techniques is desired., • Excellent analytical and problem-solving skills, with the ability to analyze complex datasets, identify patterns, and draw meaningful conclusions., • Strong written and verbal communication skills, with the ability to convey technical concepts and research findings to diverse audiences.Pluses, • Experience with AI-driven materials research, including machine learning models for materials property prediction, materials informatics, and data-driven materials discovery., • Familiarity with one or more software languages (Python, C++, MATLAB, etc.), • Prior experience in transitioning AI + computational research into production environments.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family covered at 100%, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description Hi, we're Oscar. We're hiring a Data Scientist I to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless 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: Oscar's Data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. We're hiring several Data Scientists to support data science initiatives across multiple teams. In this role, you'll contribute to the development and maintenance of data pipelines, analytical models, and validation processes that power business decision-making. This position is well-suited for early-career data scientists who have strong technical foundations and are excited to grow their skills while working on real-world data problems in a collaborative environment. You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process. Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $119,200- $156,450 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, maintain, and support data pipelines to ensure reliable, accurate, and timely data delivery., • Assist with the testing, validation, and refinement of statistical or analytical models., • Perform advanced analytical work and validation checks on datasets and model outputs., • Identify data quality issues, anomalies, or inconsistencies and help implement corrective solutions., • Collaborate with data leaders and cross-functional business partners to understand data needs and improve processes., • Partner closely with business, engineering, product and data stakeholders to deliver impactful solutions., • Write clear, maintainable analytical code and documentation., • Bachelor's degree in a technical or quantitative field or 1+ year of relevant professional experience, • 1+ years of experience working with SQL or intermediate Python (for example, working with multiple data sources), • Master's degree in a technical or quantitative field, • Experience in healthcare, health insurance, or other regulated industries 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. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. 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. 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 Privacy Policy.

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at . The Preclinical Principal Scientist will serve as a key scientific contributor, subject matter expert (SME) and Project Manager in the execution of Cresilon’s Preclinical Research Operations, including but not limited to in-vivo study design (Safety and Efficacy/Functionality evaluations), Preclinical Research Management, Vendor Management, and Preclinical Regulatory Strategy. This will include the development and execution of strategies for preclinical evidence necessary to competitively position a project’s product for domestic and international regulatory and clinical acceptance. This position as a hybrid role, with work off-site at CRO in NY/NJ area, work from home and on-site at Brooklyn NY. Job Responsibilities: The Preclinical Research Scientist will: • Lead, staff, and manage Cresilon’s Preclinical Research activities., • Provide preclinical scientific input and leadership on the evaluation of physical safety and efficacy for technologies and products at all stages of the product life=cycle., • Plan, direct, coordinate, and execute activities related to the design, initiation. and follow-up of studies to support approval of Class I-III medical devices., • Develop, write, and/or review study protocols and repor-s. Act as a technical mentor for the development of study experimental designs, protocols, and reports of junior associates., • Administrate and manage Cresilon's preclinical regulatory strategy and communication., • Work with Contract Research Organizations (CROs) to execute both Biocompatibility / Safety and Efficacy/Functionality research, including negotiating, drafting, and managing research contracts and agreements with pre-clinical trial sites., • Ensure that the company operates within the scope of regulatory compliance including Quality System Regulations (ISO 13485), health and safety, environmental protection regulations, and the core values of Cresilon., • Be a Subject Matter Expert (SME) for the preclinical research department growth strategy. Actively interact with the internal and external scientific community to maintain state-of-the-art knowledge., • Oversee the development of and modifications to preclinical models to address project needs., • Oversee the design and execution of preclinical functionality and safety in-vivo studies per project timelines., • Surveys the literature to identify and compare competitive product performance and safety risks., • Maintain current knowledge in existing regulations, requirements and standards, including but not limited to global regulatory requirements (ISO, FDA, etc) and compliance requirements (GLP, USDA, AAALAC, departmental SOP's, company policies, etc), • Work cross functionally with Regulatory and Quality to assess project risks, product safety and efficacy on NPD projects, including ensuring external facilities meet Cresilon standards for animal use and generating contracts and CRO audits, if necessary., • Manage budgetary requirements for all research projects to support efficacy and safety programs., • Lead the effort to publish surgical research in peer-reviewed journals., • Regularly interface with management to ensure research operations reflect overall corporate vision/strategy., • DVM, PhD or MD in a relevant discipline is preferred. A Bachelor's in a technical or scientific field is required., • Minimum 6+ years’ experience in preclinical medical device research is required, preference given to veterinary surgical or human surgical experience., • 4+ years of people management experience preferred., • Extensive knowledge of surgery, anatomy, toxicology, and pathology is required. Hands-on surgical experience is require., • Experience with planning, directing, and coordinating activities related to studies to support approval of Class I-III medical devices is highly preferred., • Experience in a medical device, pharmaceutical, or related setting with a proven record of success in supporting studies for R&D projects is highly preferred., • Strong knowledge of ISO-10993 Standards, FDA Guidance and Regulations, and Animal Welfare Regulations., • Experience with surgical publication submission strategy is strongly preferred., • Strong communication skills (both written and verbal) is required with the ability to extract key facts from complex information and present concise summaries to management., • Demonstrated experience with large animal in vivo surgical research and CRO vendor management is required., • Previous experience in authoring and reviewing nonclinical regulatory documents as well as interactions with regulatory authorities is strongly preferred., • Excellent problem solving, conflict resolution, and analytical skills is required., • Ability to work effectively both independently and collaboratively in a dynamic team-oriented environment is required., • Prior experience and ability to work well with external CROs and collaborators with professionalism and discretion is required., • Requires strong leadership and organizational skills including attention to detail and multi-tasking skills., • Able to understand and execute to project details but keep overall “big picture” view of projects, priorities, and strategies is required., • Medical Device product development experience, including knowledge of medical device regulations, regulatory/notified body requirements is preferred., • Good Laboratory Practices (GLP) experience preferred and working knowledge of Good Manufacturing Practices (GMP), • Experience in developing and commercializing regulated devices under Design Control (21 CFR 820) requirements, GLP/GMP, and ISO regulations is preferred., • Hands-on research experience with hemostatic devices and/or coagulation chemistry, strongly preferred., • Legal authorization to work in the United States., • This position is located in Brooklyn, NY and may require up to 30% travel (to monitor and execute out-sourced studies) Cresilon is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits • Competitive annual base salary range of $130,000 - $210,000, depending upon job level and qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

Job Description Cresilon® is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company’s proprietary hydrogel technology. The company’s plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at . The R&D Formulation Manager/Principal Scientist will lead the design, development, and implementation of novel formulations and polymer materials for use in medical devices, ensuring all activities meet quality and regulatory standards. This role involves providing expertise in formulation development, building and optimizing internal capabilities to deliver innovative and efficient solutions, and ensuring alignment with the company’s long-term technical vision to create a strong pipeline of customer-focused innovations. Key responsibilities include developing and characterizing formulations, recruiting and onboarding talent, managing technical collaborations with external suppliers and vendors, and integrating formulations into scalable manufacturing processes, whether in-house or through CDMOs. This role operates in a collaborative, cross-functional environment, requiring flexibility, a strong focus on scientific formulation, and a drive to explore new technologies and techniques in pursuit of robust, innovative materials and products. This is a senior technical role overseeing a small team. The R&D Formulation Manager/Principal Scientist is expected to be a subject matter expert in areas including polymer material science, formulation strategies, analytical chemistry, and biomaterial interactions with biological systems. They are responsible for ensuring high standards in research practices. They are responsible for leading the creation of documentation required for regulatory submissions, developing strategies for grants and publications, and securing non-dilutive funding through grant opportunities. They will report to the Vice President Technology. This is a full-time, on-site position, located in Brooklyn, New York. Responsibilities • Lead, staff, and manage formulation development teams and their efforts across multiple parallel product development opportunities, to launch new commercially successful products., • Provide sound scientific leadership, monitoring, and coaching through the initiation, planning and execution their team’s overall activities., • Create and lead experimentation for exploratory and/or product development research with focus on polymeric materials and their use., • Exercise technical judgment in the design, execution, and interpretation of experiments within the scope of project responsibilities and ensure the use of professional concepts to solve complex problems in creative and effective ways, in conformance with scientific methods and procedures., • Lead material/design/process changes through design control process, with well-documented research/analyses., • Review and author protocols and reports including development studies and design verification/validation activities., • Develop and implement investigations into new technologies and capabilities, partnering with business development, that advance research team and company objectives., • Lead efforts in chemical and mechanical property evaluation to assess the desirability of process or formulation changes. Develop test method capabilities to support R&D (exploratory research, product development) and production test requirements., • Develop unique, proprietary (and ideally patentable) intellectual property that yields competitive advantage., • Lead and participate in voice-of-customer (VOC) labs and influence go-to-market strategies., • Interface with customers, suppliers, and internal cross-functional team members to develop specifications and coordinate prototype fabrication., • Work as part of a cross-functional team to develop, verify, and validate product designs through bench, in-vitro, and in-vivo testing and other assessments., • Ensure an effective documentation system is in place and utilized throughout the development process inclusive of R&D lab notebooks, design reviews, test methods, and test reports., • Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation pertaining to research towards FDA/regulated authority submissions,, • Act as research liaison between R&D and Quality Control to define product specifications., • Maintain active dialogue with Manufacturing to ensure successful technology transfer and process development, including the review of research-related documents, • Provide guidance and support to commercial teams, support introduction of new technologies with development of presentations, sales tools, formulations and applications data., • Communicate results to the scientific community via published papers. Present research at academic/industry symposia as an external representative of the company., • Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high-quality research operations within the organization. Required Qualifications • Master’s degree in Chemistry, Materials Science, Chemical Engineering, Polymer Science, or a closely equivalent discipline., • A minimum of 10 years of research experience in developing and utilizing polymeric materials, biomaterials, or other complex materials toward product/application development and their manufacture, with at least 5 years in a non-academic setting., • A minimum of 2 years of direct management experience., • Adept experimentalist with hands-on research experience with polymers, coagulation chemistry, and materials science of complex systems, including the development of structure-property performance relationships in designing and characterizing these materials., • Demonstrated ability to solve difficult technical problems and deliver practical solutions that meet the application requirements, along with a fundamental understanding of the chemistry that drives the performance required. This includes strong analytical, problem-solving, and decision-making skills with the ability to be observant and to think creatively., • Direct experience in new product development from concept to regulatory approval through launch., • Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies is required., • Excellent verbal and written communication skills, with the ability to lead in a dynamic and collaborative environment is required., • Highly organized and detail-oriented, with the ability to extract key facts from complex information and create/present clear and concise technical documentation is required., • Demonstrated ability to lead and inspire teams and develop and mentor individuals, and allocate resources strategically and according to the portfolio priorities., • Requires strong leadership and organizational skills with a strong attention to detail and multi-tasking skills while simultaneously keeping overall “big picture” view of projects, priorities, and strategies., • Experience working under pressure with tight timelines, with the ability to maintain a sense of priorities, focus, urgency, and delivery., • Strong working knowledge of Microsoft Office., • Legal authorization to work in the United States. Preferred Qualifications • Ph.D. in a relevant discipline is strongly preferred., • Experience developing and commercializing products in a highly regulated environment, • Medical device development experience., • Demonstrated expertise in the use, development, and qualificication of material characterization techniques, including rheological, thermal, mechanical, spectroscopic, microscopic, and other chemical compositional methods., • Strong understanding of medical device regulatory requirements for Class II and III medical devices (e.g., 21 CFR Part 820), cGLP/cGMP, and related standards (e.g., ISO 13485)., • Strong understanding of cGMP, ICH guidelines, • Six sigma green belt or black belt certification., • Experience with executing a grant and publication submission strategy, knowledge of and strong track record with SBIR submissions to multiple agencies, including NIH and DOD is strongly preferred., • Demonstrated experience in Project Management and Product Lifecycle Management practices, and the ability to lead multiple projects simultaneously., • Excellent problem-solving skills and a proactive approach to addressing formulation challenges. Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits BENEFITS • Competitive annual base salary range of $130,000 - $180,000, depending upon qualifications., • Paid Vacation, Sick, & Holidays, • Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage, • Company Paid Life and Short-Term Disability Coverage, • Work/Life Employee Assistance Program, • Monthly MetroCard Reimbursement, • 401(k) & Roth Retirement Savings Plan with company match up to 5%

We are seeking an analytical and innovative Data Scientist to join our Data & AI team. AvePoint is the global leader in data security, governance, and resilience, going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence.

Job Description Data Scientist NYC, NY or Remote Type: Contract About the Role We are seeking an experienced Data Scientist to join our AI Data Science team, with a strong emphasis on modern data engineering and platform-based development. This role focuses on building scalable, production-grade data and machine learning pipelines that power analytics, predictive models, and AI-driven insights across the firm, including work within our Databricks environment. Required Qualifications • § 5+ years of experience in data science, data engineering, applied machine learning, or advanced analytics roles • § Advanced proficiency in Python, with demonstrated experience building production- grade data, ML, or GenAI pipelines • § Hands-on experience working with Generative AI or LLM-based systems, including prompt design, evaluation, and application integration • § Strong grounding in data analysis, statistics, and exploratory analysis • § Experience translating business or domain questions into analytical approaches and communicating insights to non-technical stakeholders • § Strong hands-on experience with Databricks (Spark, notebooks, jobs, Delta Lake) in a production environment • § Solid understanding of data modeling, ETL/ELT patterns, and distributed data processing • § Experience deploying and maintaining machine learning models in production environments • § Excellent communication skills, with the ability to explain complex technical concepts clearly Preferred Skills • § Experience with MLflow, model registries, and experiment tracking • § Familiarity with version control and deployment workflows for data, ML, and GenAI solutions • § Experience with RAG architectures, vector databases, or semantic search • § Familiarity with GenAI evaluation techniques, including human-in-the-loop review • § Knowledge of SQL and data warehousing concepts • § Experience supporting talent analytics, people analytics, executive assessment, or professional services use cases • § Ability to design analyses and narratives appropriate for senior consultant and executive audiences • § Experience working in regulated or enterprise environments with an emphasis on reliability, governance, and trust

Job DescriptionWhy Prizeout At Prizeout, we’re redefining how people engage with their money through smarter, data-driven rewards. We’re looking for curious, analytical builders who love turning complex, messy data into meaningful insights that drive loyalty and better financial outcomes. We keep the user at the center of every decision and we value humility, curiosity, and ownership. About This Role As a Data Scientist at Prizeout, you’ll work with the rich transaction and product data that powers CashBack+ and our credit union rewards ecosystem. You will use the data to build recommendation and prediction models to help match customers with the right products and improve the customer journey and ecosystem.What You'll Do • Translate raw data into meaningful insights and productionalized data products, • Build and maintain scalable, interpretable user prediction models that drive product value, • Build and own user content recommendation models that drive user engagement, • Develop and maintain risk models that drive product safety and business value, • Collaborate with Engineering, Analytics, Data Engineering, Product, and Operations teams to refine models and drive value, • Stay current on AI and emerging technologies to guide modeling & engineering best-practicesWhat We're Looking For, • 3+ years experience in data science/modeling ideally in predictive modeling or recommender systems, • Advanced Python and SQL skills, • Experience with big data, • Ideally experience with financial/transaction data or familiarity with brand data, • Familiarity with Snowflake or similar data warehouse tools, • Bias for action and comfort working with ambiguity, • Ability to thrive in a fast-moving, collaborative, mission-driven team, • Clear communicator who brings clarity, not complexity, • Scrappy, resilient, and energized by building things that work in the real world at scale Prizeout is an adtech company with a three-sided marketplace that allows consumers to receive earned or allocated funds via digital gift cards. Our commercial partners offer Prizeout as a withdrawal or disbursement method, while brands can digitally advertise and acquire new customers through Prizeout ad campaigns. Prizeout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionUS Mobile is on a mission to revolutionize connectivity. Imagine a world where you can go into a single app and buy terabytes of data for every one of your devices: phone, smart devices, car, home broadband, and more. That’s the future that US Mobile is building: a software platform built truly for the 21st century and the age of 5G and IoT, with world class engineering, best-in-class user experience, and features that will define the next generation of connectivity. At the core of it all, we have a team and culture that has been recognized by Forbes as one of the top 500 best startup employers in the US. Our team spans diverse backgrounds, cultures, and stories, with employees coming from 20+ countries. We’re a venture-backed company entering hypergrowth, having recently ranked 94th on Inc 5000’s fastest-growing private companies in America, and we’re looking for someone exceptional to join our team. We are looking for a Product Data Scientist who can turn data into clear, actionable insights that drive product and business growth. In this role, you’ll partner closely with Product, Engineering, Marketing, and Operations teams to define success metrics, monitor performance, design experiments, and deliver reporting that guides decision-making. If you enjoy using data to tell stories, influence strategy, and uncover opportunities, this role is for you.Description: • Partner with product and business teams to inform, influence, and execute product strategy and key investment decisions., • Analyze large, complex datasets—conducting both ongoing and ad-hoc deep dives—to uncover patterns, trends, and opportunities that drive strategy., • Build and maintain dashboards and reports that deliver clear visibility into product usage, funnels, customer behavior, retention, and overall business performance., • Design and analyze A/B tests and product experiments to evaluate the impact of new features and product changes., • Design and build data models and pipelines that ensure reliable, scalable foundations for reporting and dashboards., • Translate complex data into actionable insights and communicate findings effectively to both technical and non-technical audiences., • Identify growth opportunities across acquisition, retention, monetization, and customer journey optimization.What we are looking for:, • 5+ years of experience in product analytics, data science, or a related analytical role with a proven track record of delivering business impact., • Expert-level SQL skills for data extraction, transformation, and analysis., • Proficiency with BI and visualization tools (e.g., Tableau, Looker, Hex, or similar) to build clear, impactful dashboards and reports., • Familiarity with modern data modeling frameworks (e.g., dbt) and best practices in scalable analytics., • Demonstrated ability to perform exploratory analyses on complex datasets, tackling ambiguous, open-ended questions and translating findings into clear, actionable insights., • Excellent stakeholder management and communication skills, with the ability to distill complex findings into clear, compelling narratives for non-technical audiences., • Self-starter who is proactive, adaptable, and thrives in fast-paced, dynamic environments with evolving priorities.Benefits:, • Competitive salary - $120k–190k (NYC based, in office Monday-Wednesday), • Gym reimbursement, • Your choice of tech & noise-canceling headphones, • Free cellular service on the best network in the US, • Free lunch in NYC office & fully stocked kitchen, • MetroCard reimbursement

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

Energy Project Manager (Passive House) - NYC/Hybrid.This Jobot Job is hosted by: Tony Barhoum.Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.Salary: $90,000 - $110,000 per year.We are industry leading Energy Efficiency Engineering Firm providing engineering l

Are you an experienced engineering professional who thrives in regulated environments and enjoys driving projects from concept through completion? We are seeking a Project Manager to oversee energy efficiency initiatives within a major New Jersey utility program.This is a high-impact role supporting

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Join our dynamic healthcare team as a Phyician Assistant dedicated to providing high-quality patient care in a fast-paced environment.As a Physician Assistant, you will play a crucial role in delivering comprehensive healthcare services to patients, collaborating with physicians and other healthcare

Principal Data Scientist, AI Foundations. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big

Associate Director - Qualitative Research, Media and Tech clients.Our client is a market research and advisory company with growing teams across the world.They work with a stellar list of global brand owners and inform & inspire them.They allow them to make better decisions using powerful data a

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how customers interact with their money. Principal Associate, Data Scientist - NLP. As a Data Scientist at Capital One, you'll be pa