Senior data scientist jobs in Albany, NY - 124 jobs

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers). Description As a Senior Data Scientist at Monks, you'll help shape and deliver cutting-edge data solutions that power intelligent, personalised experiences for some of the world's most influential brands. You'll lead the design, development, and deployment of Machine Learning (ML) and Generative AI (GenAI) solutions that deliver measurable business impact, from predictive audience modelling to agentic automation systems, connecting data, intelligence, and action. You'll work across the full data lifecycle, from ingestion and transformation to model orchestration and real-time activation, building the foundations that enable adaptive, insight-driven experiences at scale You will partner with UX leads, data scientists and creative technologists, bridging the gap between data engineering, applied machine learning, and emerging agentic workflows. You'll define and enforce standards that ensure that data, models, and automation pipelines are scalable, resilient, and fully governed at runtime. You'll shape the technical architecture for AI-driven systems that can reason, act, and learn autonomously across complex digital environments, connecting real-time data, contextual intelligence, and orchestration layers to deliver faster, more adaptive, and continuously improving customer experiences. You bring a solid foundation in modern cloud ecosystems (GCP, AWS, or Azure), data warehousing (BigQuery, Snowflake, etc.), and advanced ETL/ELT orchestration. Your deep understanding of machine learning and automation frameworks enables you to architect and operationalize predictive models, recommender systems, and agent-assisted optimization workflows. This Netherlands-based role supports our Interactive team in delivering data-driven innovation for a major Dutch client. You'll work in a fast-paced, collaborative environment at the forefront of AI, automation, and digital experience design, where your technical expertise helps connect data, creativity, and performance. If you're passionate about engineering intelligence from data and advancing autonomous, adaptive systems, we'd love to meet you. Responsibilities * Lead the design, development, and deployment of advanced Machine Learning (ML) and Generative AI (GenAI) models on cloud platforms such as GCP and AWS, ensuring they are scalable, resilient, and compliant with enterprise standards. * Architect and implement predictive frameworks, including propensity, churn, and recommendation models, translating analytical results into measurable business impact. * Design and operationalise GenAI architectures using APIs (e.g., OpenAI, Gemini, Anthropic) and frameworks like LangChain or LlamaIndex, integrating them into production-grade workflows. * Define data science standards and modelling pipelines, including feature engineering, data versioning, and reproducibility practices using tools such as dbt and Dataform. * Oversee data integration and transformation workflows, automating ingestion and orchestration across APIs, cloud services, and real-time data pipelines. * Establish MLOps best practices for continuous delivery, monitoring, and retraining of models in production environments. * Ensure governance, observability, and documentation across all machine learning assets, adhering to internal standards for reproducibility, ethics, and security. * Design and evaluate experimental frameworks (A/B, multivariate, or causal) to measure model impact, validate hypotheses, and translate insights into actionable optimization strategies. * Inspire and guide data engineers, UX strategists, and creative technologists in translating data and AI into intelligent, human-centered digital experiences. * Communicate complex analytical outcomes through clear visualisations and narratives, influencing technical and non-technical stakeholders alike. Requirements * MSc in a quantitative discipline such as Data Science, Computer Science, Mathematics, Statistics, or a related field. * 4+ years of professional experience applying data science in production environments, ideally across marketing, product, or customer-experience domains. * Proven ability to design, develop, and deploy scalable machine learning and GenAI solutions on cloud platforms such as GCP or AWS. * Experience working in cloud-native data ecosystems, including data warehousing (BigQuery, Snowflake, Redshift) and modelling frameworks such as dbt or Dataform. * Deep understanding of statistical inference, machine learning algorithms, and experimental design, with the ability to translate analytical outcomes into actionable recommendations. * Practical experience integrating APIs and automation frameworks (e.g., LangChain, Airflow, Cloud Functions) for data and AI orchestration. * Familiarity with MLOps principles, including CI/CD pipelines, model versioning, and continuous monitoring in production. * Demonstrated ability to communicate complex concepts clearly to both technical and non-technical stakeholders, influencing strategy and decision-making. * Strong analytical, problem-solving, and collaborative leadership skills, with the ability to mentor others and drive cross-disciplinary innovation. * Professional cloud certification (e.g. Google Cloud Professional Data Engineer or Machine Learning Engineer, AWS Certified Machine Learning - Specialty, or Azure Data Scientist Associate). * Native-level Dutch and fluent in English, both written and spoken. Preferred Requirements: * Experience in consultancy or agency environments, leading end-to-end data science initiatives across multiple clients, industries, and stakeholder ecosystems. * Applied experience with GenAI or LLM-based systems, such as retrieval-augmented generation (RAG), prompt engineering, or embedding-based personalisation. * Familiarity with ML governance and Responsible AI principles, including model monitoring, bias mitigation, and explainability. * Familiarity with marketing and behavioural ioral data, including analytics platforms and media performance data from digital advertising ecosystems. * Understanding of digital marketing and advertising industry practices across client verticals such as retail, finance, and government. * Contributions to the data or AI community (e.g., open-source projects, publications, conference talks) are a strong plus. #LI-FP1 About Monks Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI-managed by the industry's best and most diverse digital talent-to help the world's trailblazing companies outmaneuver and outpace their competition. Monks was named a Contender in The Forrester Wave: Global Marketing Services. It has remained a constant presence on Adweek's Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger's Programmatic Power Players list every year (2020-24). In addition to being named Adweek's first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek's Top 100 Global Most Loved Workplaces 2023. We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents-and resonates with-the world around us.

GovCIO is currently hiring for a Data Scientist to provides technical leadership in the data science domain. This position will be located in Rome, NY and will be an onsite position. **Responsibilities** Develops deployable AI/ML analytics for C5ISRT data and provides technical leadership in the data science domain. Transforms raw sensor and operational data into analyst-ready insights. Develops and deploys algorithms, use cases, and models. Supports data analytics research, development, prototyping, maturation, testing, and integration, including generating large-scale labeled datasets and developing Labeled Data Campaign Plans. Applies MLOps ecosystem tools, including NVIDIA Triton Inference servers, TensorFlow, PyTorch, ONNX, and Python. Integrates models across domains with bi-weekly evaluations and dataset challenges. Operationalizes data curation, tagging, and 'Labeling on the Line' workflows and integrates into Government-owned labeling apps and repositories. Contributes to CDRL-backed artifacts such as Detailed Analyses (A021/B021, C021). + Skills: data engineering, feature development, MLOps packaging, experiment tracking, evaluation design, metric selection, and bias/error analysis with defensible reporting. + Knowledge: MLOps at IL5/SIPR/JWICS, dataset curation at scale, evaluation pipelines for bi-weekly model submissions, MLOps ecosystem (e.g., Triton Inference Server, TensorFlow, PyTorch, ONNX, Python) for model execution, data security classifications, data lake management and data replication to/from edge systems, and algorithm rights/licensing limits in operations. **Qualifications** Bachelor's with 15+ years (or commensurate experience) Required Skills and Experience + Clearance Required:TS/SCI + Masters Degree + Working knowledge of Python Programming for ML, Cloud Computing Fundamentals, Data Curation Best Practices, Deep Learning Frameworks (TensorFlow/PyTorch), GPU Acceleration, Secure Coding Practices, C5ISRT Domain Expertise, Ethical AI/Bias Analysis + DoDD 8140 IAT Level II: (CompTIA Security+, or GSEC or ISC2 SSCP) ***PENDING CONTRACT AWARD*** \#afrl Preferred Skills and Experience AWS/Azure Certified Data Engineer or ML Specialty, Certified Analytics Professional (CAP) **Company Overview** GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? **What You Can Expect** **Interview & Hiring Process** If you are selected to move forward through the process, here's what you can expect: + During the Interview Process + Virtual video interview conducted via video with the hiring manager and/or team + Camera must be on + A valid photo ID must be presented during each interview + During the Hiring Process + Enhanced Biometrics ID verification screening + Background check, to include: + Criminal history (past 7 years) + Verification of your highest level of education + Verification of your employment history (past 7 years), based on information provided in your application **Employee Perks** At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: + Employee Assistance Program (EAP) + Corporate Discounts + Learning & Development platform, to include certification preparation content + Training, Education and Certification Assistance* + Referral Bonus Program + Internal Mobility Program + Pet Insurance + Flexible Work Environment *Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. **We are an Equal Opportunity Employer.** All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. **Posted Pay Range** The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an "at-will position" and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. **Posted Salary Range** USD $200,000.00 - USD $230,000.00 /Yr. Submit a referral to this job (******************************************************************************************************************* **Location** _US-NY-Albany_ **ID** _2025-6979_ **Category** _Data Services_ **Position Type** _Full-Time_

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

At Scale AI, we are accelerating the development of artificial intelligence by providing the essential, data-centric infrastructure for building and deploying advanced AI systems. We are looking for a Forward Deployed Data Scientist/Engineer to architect and build the sophisticated data solutions that solve our customers' most complex challenges. This role is for a first-principles thinker who thrives on ambiguity, enjoys solving novel customer problems, and has a passion for applying rigorous data science to deliver measurable business impact. You'll work on a mix of cutting-edge, customer-facing AI implementations. Our team powers projects like TIME's Person of the Year AI experience, where our technology helped shape one of the most iconic features in media. Leveraging Scale's powerful data infrastructure, you will build bespoke evaluation frameworks, deploy custom statistical models, and architect data pipelines. Your work will play a crucial role in shaping how AI delivers measurable value in real-world applications for industry-leading companies. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with leading enterprise organizations, including top industry leaders in telecommunications, e-commerce, finance, education, publication, insurance, and health. Responsibilities: Drive Impact: Directly contribute to the advancement of AI by delivering critical data science infrastructure and insights for leading AI innovators and enterprise customers. Customer Collaboration: Interact daily with our technical customers, deeply understanding their unique challenges and translating ambiguous business problems into concrete data-driven solutions and robust statistical models. End-to-End Data Solution Development: Design, build, and deploy solutions across the entire data lifecycle-from data ingestion and pipeline construction to statistical modeling, experimentation, model evaluation, and insight generation. Rapid Experimentation: Design and deliver high-quality experiments (e.g., A/B tests, marketplace modeling), iterating quickly to validate hypotheses, meet customer needs, and drive innovation. Strategic Influence: Act as the voice of the customer to our internal Product, Engineering, and Data Science teams, channeling real-world insights to influence our product roadmap and technical strategy. Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, from building LLM evaluation frameworks to adapting statistical models for novel economic and business problems. Leadership Growth: This role offers a unique opportunity to lead critical customer-facing projects, shape our data culture, and accelerate your career growth. You'll be positioned to become a future leader in a company defining the next era of technology. Requirements: 5+ years of relevant industry experience in a highly analytical role (e.g., Data Science, ML Engineering, Quantitative Analysis). Proven track record of shipping high-quality data products, models, or features at scale. Strong problem-solving skills and the ability to turn abstract business and product ideas into concrete data science and engineering solutions. Expert-level coding abilities in Python for data science (e.g., Pandas, NumPy, Scikit-learn) and mastery of complex SQL across large datasets. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Desire to thrive in a fast-paced, dynamic environment and adapt quickly to the ever-changing world of Generative AI. Excited to join a dynamic, hybrid team in either San Francisco or New York City. Preferred Qualifications: Experience in a client-facing or consultative role (e.g., Forward Deployed Engineer, Solutions Architect, Data Science Consultant). Deep expertise in designing metrics, diagnosing data inconsistencies, and building evaluation frameworks for ML/LLM systems. Experience with large-scale data processing frameworks and distributed systems (e.g., Spark, Ray). Familiarity with marketplace experimentation, causal inference, and advanced statistical modeling. Experience with cloud-based infrastructure and data warehousing (e.g., AWS, GCP, Snowflake, BigQuery). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$198,000-$247,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

About Us: EvolutionIQ's mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.'s Best Workplaces 3 years in a row and Built In's Best Places to work in 2025 and 2026! About the Role & You: As a Senior Data Scientist on the Medhub team, you will be the primary architect of our LLM evaluation framework. Think of this role as the "Evaluation Expert" and will define the rigorous statistical standards they must meet before they ever touch production. You believe that LLMs should be held to the same (or higher) scientific standards as traditional supervised models. You enjoy the challenge of turning subjective outputs (like chat and summarization) into objective, measurable data. You are a "Data Scientist's Data Scientist"-someone who leans heavily into statistical significance, inter-rater reliability, and robust experimental design to ensure our AI products are safe, accurate, and reliable. What You'll Achieve (Performance Outcomes): In this Role You Will: Establish the Gold Standard: Design and implement comprehensive scorecards and benchmarking suites for LLM-based extraction, summarization, and chat interfaces. Bridge the Gap with SMEs: Act as the technical lead in working with Subject Matter Experts (SMEs) to codify their expertise into evaluation datasets and "ground truth" labels. Scale Labeling: Design the statistical guardrails to scale both our human and automated labeling efforts; you will optimize the human labeling process for efficiency and agreement while ensuring LLM-generated labels maintain the highest integrity for our training data. Quantify Risk: Provide clear, data-driven "Go/No-Go" recommendations for model deployment based on rigorous error analysis and statistical confidence intervals. About You (Key Competencies): 5+ years of experience in Data Science with a strong background in traditional statistics (hypothesis testing, experimental design, regression analysis). 2+ years of focused experience working with LLMs, specifically in evaluation, benchmarking, and prompt auditing. Master's or PhD in Statistics, Mathematics, or a related quantitative field. You should be comfortable explaining the nuances of different evaluation metrics (e.g., G-Eval, ROUGE, or custom-weighted scorecards). A Quality Mindset. You are naturally skeptical of anecdotal evidence ("it looks good") and insist on statistical proof. Proven ability to work with non-technical SMEs to translate their qualitative feedback into quantitative metrics. Proficient in Python (Pandas, Scikit-learn, Statsmodels) and SQL. Familiarity with LLM evaluation frameworks (e.g., RAGAS, LangSmith, or proprietary scorecard systems) is a major plus. Even Better if You Have: Deep knowledge of metrics like Cohen's Kappa or Fleiss' Kappa to quantify agreement between SMEs and evaluate the clarity of labeling instructions. Experience in Active Learning Experience with platforms like Labelbox, Snorkel, or Prodigy to manage the flow between human annotators and automated systems. Work-life, Culture & Perks: Compensation: The base salary range is $200-240K, with flexibility depending on a candidate's background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

In the 1840s, Charles Babbage and Ada Lovelace worked on an early version of the computer known as the “Analytics Engine”. In the words of computing historian Doron Swade, “What Lovelace saw...was that numbers could represent entities other than quantity” and together they laid the foundation for general-purpose computing. While much has changed since then, the importance of numbers in building great technology remains. We're looking for Data Scientists who can help us build our analytics engine by making meaning from data and identifying opportunities for improvement. As a Marketing Data Scientist at Mercury, you will partner with senior Marketing leaders and the Performance Marketing team, as well as Brand Marketing, Product Marketing and Lifecycle Marketing to acquire, engage, and convert Mercury customers around the globe. You will develop various skills as a full-stack Data Scientist working on projects end-to-end and build deep domain expertise in the intersection of Data Science and Marketing. You will set the direction for our marketing measurement strategy and ensure it fits within Mercury's broader growth, product and company goals. Here are some things you'll do on the job: Collaborate with Marketing stakeholders and other cross-functional partners to identify impactful business questions, conduct deep-dive analysis, and communicate findings and actionable recommendations to audiences at all levels to inform data-driven decisions. Collaborate with other Data Scientists and Data Engineers to build and improve different marketing measurement capabilities. Develop privacy-resilient measurement strategies using techniques like synthetic control methods and incrementality testing to maintain attribution quality as the industry shifts away from third-party cookies and device identifiers. Develop and apply marketing measurement capabilities such as A/B Testing, Causal Inference, Marketing Mix Modeling (MMM), and Multi-touch Attribution (MTA) to evaluate the performance of our marketing effort. Build and deploy machine learning and statistical models such as Customer Lifetime Value, Lead Scoring, Segmentation, and time-series forecasting end to end. Influence and partner with engineering, design, and business teams to implement data-based recommendations that will improve entrepreneurs' lives and generate revenue for Mercury. You should: Have 5+ years of experience working with marketing teams across full funnel measurement from brand awareness and content marketing to product adoption and customer retention. Have expertise in marketing measurement strategies including brand lift studies, geo-experiments, survey-based measurement, cross-channel attribution, causal impact analysis, and experimentation design to identify growth opportunities. Have fluency in SQL, and other statistical programming languages (e.g. Python, R, etc.). Have experience with marketing analytics tools such as Google Analytics, Amplitude, social listening platforms, email/CRM analytics (e.g., Salesforce, HubSpot), and customer data platforms. Have experience crafting data pipelines and dashboards, and understand different database structures. Be super organized and communicative. You will need to prioritize and manage projects to maximize impact, supporting multiple stakeholders with varying quantitative skill levels. The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following: US employees (any location): $200,700 - $250,900 Canadian employees (any location): CAD 189,700 - 237,100 *Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.. Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. [Please see the independent bias audit report covering our use of Covey for more information.] #LI-AC1

Job Description About Company: Who We Are At ADP, what we do is about people. Although we have a strong history of providing solutions for human resource challenges, we strive to do more than that. We challenge ourselves to anticipate, think forward and take action in a way that empowers us to shape the changing world of work. For over 70 years, we've led the way in defining the future of business solutions. ADP is proud to be named the 2023 Fortune World's Most Admired Companies™ list again for 17 consecutive years*. We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration, and a leader in business outsourcing services, analytics and compliance expertise. Our unmatched experience, deep insights and cutting-edge technology have transformed human resources from a back-office administrative function to a strategic business advantage. Learn more about our philosophy, success factors and why companies work with ADP. About the Role: As a Data Scientist at our Information and Media Services company in New York, you will be responsible for analyzing complex data sets and developing predictive models to drive business decisions. You will work closely with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance. Your work will directly impact the success of our company and our clients, as you will be responsible for delivering actionable insights that drive growth and profitability. Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field 3+ years of experience in data science or a related field Strong programming skills in R and Python Experience with machine learning techniques such as random forest, neural networks, and logistic regression Experience with statistical analysis and experimental design Preferred Qualifications: Master's or PhD in Computer Science, Statistics, Mathematics, or a related field Experience with big data technologies such as Apache Spark Experience with deep learning frameworks such as TensorFlow Experience with clustering techniques Experience with data visualization tools Responsibilities: Analyze large and complex data sets using statistical and machine learning techniques to develop predictive models Collaborate with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance Design and implement experiments to test hypotheses and validate models Communicate findings and recommendations to stakeholders in a clear and concise manner Stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities Skills: As a Data Scientist, you will use your strong programming skills in R and Python to analyze large and complex data sets using statistical and machine learning techniques such as random forest, neural networks, and logistic regression. You will also have experience with statistical analysis and experimental design. In addition, you will have experience with big data technologies such as Apache Spark and deep learning frameworks such as TensorFlow. You will use your strong communication skills to clearly and concisely communicate findings and recommendations to stakeholders. Finally, you will stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. #BCGXjob What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * 2+ years of relevant work experience * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills & ability to work collaboratively in diverse teams * Excellent verbal and written communication skills in English and local office language * Master's degree or PhD in relevant field of study TECHNOLOGIES: Programming Languages: Python #BCGXjob Additional info Professional Development We are committed to your growth. You will have ample opportunities to participate in training programs, workshops, and development initiatives. You will also benefit from coaching and mentoring to further enhance your skills and expertise. At BCG, you can explore new horizons and expand your potential. Join the Group Are you ready to take the next step in your career? Apply now and become part of a community of forward-thinkers. Here, challenges and collaboration go hand in hand, your ideas are valued, and your potential knows no bounds. Let's work together to develop innovative solutions and create a lasting impact on businesses and society. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

About the Role: Grade Level (for internal use): 10 Sr Data Scientist- NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities: ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems. Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing. Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $130,000 - $170,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. 1+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, or similar statistical tools. Expert in python programming. 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 1+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI) Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit ************************ What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: ***************************************** Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to ************************. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: *************************** and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster **************************************************************** describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - ******************************************************************************************** ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that “Known may be the ultimate example of a full-service agency,” and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age's Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday's Most Innovative Media Agency to name a few. We couldn't create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known's Skeptic team builds the tools that power Known's media buying practice and elevate the media campaigns of our clients. Our work ranges from predictive modeling / optimization to infrastructure development, and Skeptic's data scientists and engineers are challenged every day to push the limits of advanced advertising. We are seeking a Senior Data Scientist who can understand the core business objectives of our internal teams and our clients, and develop tools tailored to their use cases. Experience in media is a plus, but not required for the role. The initial project for this role will have a heavy forecasting component and leverage common techniques used for Media Mix Models. In this role more generally, you will work with, and guide, other data scientists on a variety of projects and interface with our other teams at Known. As a Senior Data Scientist, you will drive forward some of our most difficult data science projects. WHAT YOU'LL DO Developing new techniques (e.g., ML models, optimization algorithms, and automation) to improve Known IP and create tools for Known's clients Working with other data scientists and engineers to productionalize new tools Collaborating with data visualization experts to build dashboards around forecasts and other model outputs Managing the ingestion and cleaning of new datasets relevant to your work / projects Mentoring other data scientists on our team WHO YOU ARE AND WHAT YOU HAVE A Masters or PhD from a well-regarded college or university. STEM degrees are preferred. 5+ years (with Masters) or 3+ years (with PhD) of hands-on experience doing quantitative analysis, statistical modeling, optimization and/or statistics. Experience utilizing Python and SQL. Candidates with a Bachelors degree and 7+ years of experience may also be considered. 3+ years of experience building data science software Experience in ad-tech or media buying is highly desired, specifically with a track record of modeling data from 'Walled Garden' social ecosystems A strong grasp of Bayesian statistical methods is a plus. You should be comfortable applying probabilistic thinking to solve real-world optimization problems, beyond standard frequentist approaches. Skills, abilities, and knowledge Superb communication and presentation skills An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning Proven ownership of projects taken to completion A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others' work Experience working on a tech team, with experience in cloud technologies, version control, etc. Experience in advertising or advertising technology is a plus Applied knowledge of Bayesian inference and probabilistic programming (experience with libraries like PyMC) is a plus Deep understanding of the data structures and optimization levers within social advertising platforms (e.g., bidding strategies, conversion windows, and attribution logic) is a plus Competencies Ability to prioritize time, work and effort while multitasking on multiple projects Desire to mentor and teach others Collaborative attitude Self motivated and exhibits initiative Willing & able to learn quickly Abundant intellectual curiosity and integrity SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, “Would I be a good fit for Known?” or “Would Known be a good fit for me?” Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $130K - $150K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-RR1

Let's be #BrilliantTogether ISS Sustainability is growing! Our Climate & Nature unit seeks a climate data scientist to improve our existing climate and nature risk models, create new models and develop new products, and analytical tools and AI techniques to support financial market participants and governments to understand, measure and act on climate-related risks and their impact on investments across all asset classes. This is a fast-paced opportunity working within ISS Sustainability Climate & Nature Solutions, a market leader within its field and highly innovative. In this role, you will be a topic expert in physical climate risks, climate change, climate impacts and natural hazard modelling. You will work with large, multimodal geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. You will have a central role in data-driven model development efforts including requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories. This includes interactions with colleagues and clients from around the globe and getting involved in several aspects of operations. Responsibilities: * Leverage your deep knowledge of climate and earth systems as well as analytical expertise to cContribute to the team's data science-driven product development efforts. * Support the development of climate risk assessment products through work with large, complex data sets, solving non-routine analysis problems, and applying advanced analytical methods.. * Develop custom data models and algorithms to apply to data sets. Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like spatial regression, super resolution, clustering etc. * Help maintain and improve existing datasets, models and pipelines. Contribute to regular data updates. * Assess the effectiveness and accuracy of new data sources and data-gathering techniques. * Coordinate with other Sustainability and climate and nature-risk products and understand the competitor landscape. * Support colleagues and clients on ISS Sustainability product offerings as a topic expert, including day-to-day communications and operations. Help client-facing teams with product use and specialist client questions. * Analyse international regulatory requirements, public datasets, scenario data, etc., to identify how to add value and develop new climate-related sustainable finance products. Our ideal candidate is/has * Advanced university degree ideally in atmospheric or physical sciences, meteorology, hydrology, environmental science or equivalent. * Advanced university degree ideally in atmospheric or physical sciences, meteorology, hydrology, environmental science or equivalent. * Experience as a climate scientist, hazard modeller, environmental engineer or similar, with expertise in developing or maintaining large climate physical hazard models, e.g. in atmospheric sciences, climate change, climate impacts, physics-based climate hazard modelling or natural catastrophe modelling transforming frontier research to production wokflows. * Experience using and interpreting climate model output and climate model projections (such as from CMIP5 and CMIP6). * Experience in leveraging AI/ML and developing AI-driven solutions, and/or predictive models. Demonstrable experience in PyTorch or TensorFlow, JAX or similar. Experience training ML models on large and noisy datasets is a plus. * Comfortable working with large geospatial and climate data and different file formats (NetCDF, Zarr, GeoTIFF). Ability to work with geospatial data analysis tools and technologies, including QGIS and Python Xarray/Dask/Rasterio. Good working knowledge of UNIX shell and docker. * Robust data science and statistical analysis capabilities. Previous research and publishing climate papers experience is a plus. * Excellent communication, Strong analytical skills and problem-solving capabilities. * Ability to work collaboratively and to efficiently work with teams across different locations and time zones in a fast-paced environment. * Excellent oral and written command of English (French or German is a plus). * Previous experience in ESG and/or Sustainable Climate Finance is a plus. Why Join Us? * Location & Accessibility: Work in Midtown Manhattan, conveniently located near Grand Central and Port Authority. * Compensation & Perks: * Base salary: $155,000 - $175,000 per year (based on experience and education). * Bonus & incentive eligibility. * Opportunity to grow within a highly respected financial organization. #LI-MK1 #Director #Analyst What You Can Expect from Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow-professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let's empower, collaborate, and inspire. Let's be #BrilliantTogether. About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. ISS Sustainability Solutions enable investors to develop and integrate sustainable investing policies and practices, engage on responsible investment issues, and monitor portfolio company practices through screening solutions. ISS Sustainability Solutions also provides climate data, analytics, and advisory services to help financial market participants understand, measure, and act on climate-related risks across all asset classes. In addition, our solutions cover corporate and country ESG research and ratings enabling its clients to identify material social and environmental risks and opportunities. We are proud to offer the following featured benefits * Medical, Dental, and Vision coverage * 401(k) with a company match up to 9%, including a Safe Harbor contribution * Flexible Spending Account (FSA) and commuter benefit programs * Generous paid time off * Volunteer Day * Paid parental leave * Hybrid working options * Midtown - centrally located near Grand Central Station and Port Authority Institutional Shareholder Services Inc. (ISS) is an equal employment opportunity employer and does not discriminate against any employee or applicant because of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as "protected status"). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. For more information, please view ******************************************* ISS is committed to complying fully with the Americans with Disabilities Act (ADA) and other applicable federal, state, and local laws. ISS is also committed to ensuring equal opportunity in employment for qualified person with disabilities. ISS prohibits discrimination against applicants and employees on the basis of disability as it pertains to the job application and hiring process and other terms and conditions of employment. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact ISS_Careers_Accommodations@issgovernance.com. This email is created exclusively to assist disabled job seekers where disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages sent for other purposes, such as following up on an application or other technical issues not related to a disability, will not receive a response.

VTG is seeking a motivated Data Scientist to join our team supporting a program focused on Supply Chain Risk Management (SCRM). The successful candidate will contribute to the development of data-driven insights and analytic solutions that help identify, assess, and mitigate risks in complex supply chains. This position (hybrid role) will report to the Washington Navy Yard in Washington, DC. What will you do? * Apply statistical methods, artificial intelligence, machine learning, and predictive modeling to identify patterns, anomalies, and potential risks * Write clean, efficient, and well-documented code in Python leveraging data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow) * Query, manipulate, and analyze structured and unstructured data from databases (SQL, NoSQL, Hive, etc.) * Support data ingestion, processing, and visualization workflows to deliver actionable insights to government stakeholders * Collaborate with a cross-functional team of analysts, data engineers, front-end developers, and subject matter experts to deliver mission-critical solutions * Present findings through reports, dashboards, and briefings to both technical and non-technical audiences * Develop and implement data science solutions to analyze large and complex datasets related to supply chain networks Do you have what it takes? Required Qualifications: * Bachelor's degree in Data Analytics, Statistics, Economics, Supply Chain Management, Computer Science, or a related field * 1-3 years of hands-on experience in data science, analytics, or applied machine learning * Strong proficiency in Python and core data science libraries * Experience with databases (SQL and/or NoSQL) for querying and analysis * Strong problem-solving skills and the ability to communicate technical insights clearly * Must have and maintain a Secret clearance-eligible for a Top Secret clearance * U.S. citizenship Desired Qualifications/Skills/Abilities: * Background or coursework in Supply Chain Management, Logistics, or Risk Analysis * Experience with big data tools (Hadoop, Spark, Hive, etc.) * Familiarity with government contracting or defense-related projects * Experience developing in Cloudera Data Science Workbench (CDSW) Travel Requirements: Minimal travel, mostly in the Washington DC area. This position is contingent upon contract award Pay Range: VTG's estimated starting pay range is $90,000-$120,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.

Our healthcare system is the leading cause of personal bankruptcy in the U.S. Every year, over 50 million Americans suffer adverse financial consequences as a result of seeking care, from lower credit scores to garnished wages. The challenge is only getting worse, as high deductible health plans are the fastest growing plan design in the U.S. Cedar's mission is to leverage data science, smart product design and personalization to make healthcare more affordable and accessible. Today, healthcare providers still engage with its consumers in a “one-size-fits-all” approach; and Cedar is excited to leverage consumer best practices to deliver a superior experience. Background: Cedar is a patient payment and engagement platform that leverages data science, AI, consumer-centric design and technology to improve the healthcare experience for patients. The Data Science team plays a critical role in achieving Cedar's vision. We ensure data and insights are accessible and trusted by all internal and external stakeholders to enable data-driven decision-making. Through analytics, descriptive analyses, and statistical models, we consistently aim to better understand the needs of patients, find improvement opportunities, and impact the product development process. We run experiments to test our various hypotheses and measure our progress. We build ML models and embed them into our web app to deliver a personalized experience to patients. We help differentiate Cedar's product offerings with hard-to-copy competitive advantages. To do this, we have built an open, supportive, and collaborative team culture. “Love thy teammate” is one of our Data Science values, and we live into this value by operating from a mindset of curiosity, possibility, and the best intentions of each of our team members. As a team, we are dedicated to continually growing our technical excellence and collaborative excellence, equally. The Role: Cedar is growing rapidly and the demand for data expertise is increasing exponentially along with our growth. We're seeking a Data Scientist III (Product Analytics) on our Data Science team to work with our product development teams to enable robust data-driven decisions and understand user behavior through in-depth data analysis. As a Data Scientist III (Product Analytics), you will be responsible for ensuring that we are building world-class products that truly address the needs of our users and customers through data insights. You will identify clear and strategic product opportunities, measure the success of our products and AI personalization platform, understand product strengths and areas for improvement - by immersing yourself in Cedar data and the stories that it tells. You will continuously apply a growth mindset in your approach to problems. Responsibilities: Partner with the Product, Design, and Engineering teams to develop an understanding of user behavior and opportunities for product improvement using data Influence data focused decision making on product teams to move metrics and improve the patient experience Perform exploratory research to provide product teams with new strategic ideas and levers to improve impactful metrics Analyze, measure, and track the performance and success of product features Identify data insights and recommendations for product teams to act and iterate on Ideate, design, and evaluate product experiments Build dashboards and visualizations to democratize data insights Present and clearly communicate data findings and underlying methodology to partners across all levels of the organization Think from the perspective of a user and develop expert intuition of Cedar's data models and product Skills and Experience: 5+ years of experience in an analytical role, bonus points for healthcare, fintech, e-commerce, or other related industries A go-getter attitude, passion for delivering a world-class product experience, and a mindset focused on growth and learning An analytical attitude and passion for finding opportunities and insights within data Understanding of statistical methods for research and experimentation purposes Experience collaborating with product, design, and engineering teams SQL and Python expertise is a must-have Experience with dbt, Hex, and Looker is a nice to have Compensation Range and Benefits Salary/Hourly Rate Range*: $148,750 - $175,000 This role is equity eligible This role offers a competitive benefits and wellness package *Subject to location, experience, and education #LI- CR1 What do we offer to the ideal candidate? A chance to improve the U.S. healthcare system at a high-growth company! Our leading healthcare financial platform is scaling rapidly, helping millions of patients per year Unless stated otherwise, most roles have flexibility to work from home or in the office, depending on what works best for you For exempt employees: Unlimited PTO for vacation, sick and mental health days-we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge 16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to work Diversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians) Competitive pay, equity (for qualifying roles), and health benefits, including fertility & adoption assistance, that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month) Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personally About us Cedar was co-founded by Florian Otto and Arel Lidow in 2016 after a negative medical billing experience inspired them to help improve our healthcare system. With a commitment to solving billing and patient experience issues, Cedar has become a leading healthcare technology company fueled by remarkable growth. "Over the past several years, we've raised more than $350 million in funding & have the active support of Thrive and Andreessen Horowitz (a16z). As of November 2024, Cedar is engaging with 26 million patients annually and is on target to process $3.5 billion in patient payments annually. Cedar partners with more than 55 leading healthcare providers and payers including Highmark Inc., Allegheny Health Network, Novant Health, Allina Health and Providence.

WHO WE ARE TIFIN builds AI-powered financial technology that personalizes and improves financial advice across consumers, advisors, workplaces, and institutions. Our modular platform embeds finance-tuned AI to deliver dynamic, tailored guidance at scale-without added complexity. Combining proprietary models, specialized data, and a fast-paced engineering culture, we create secure, compliant tools that power real outcomes. Other differentiators include: Speed: Our ability to stand up businesses at 2-4x the speed of typical fintech companies (building MVPs in 3 months and production-ready products in 6-12 months) Track Record: Previous exits include 55ip (acquired by J.P. Morgan) and Paralel Strategic Partners: Partners include J.P. Morgan, Franklin Templeton, Morningstar, Broadridge, Hamilton Lane, Motive Partners and SEI. World-Class Team: Complimentary financial services & technical expertise from Google, Microsoft, Uber, PayPal, eBay, Techstars, BlackRock, LPL, Franklin Templeton, Morgan Stanley, Broadridge and more. OUR VALUES: Go with your GUT Grow at the Edge. We are driven by personal growth fueled by a beginner's mindset. We get out of our comfort zone and keep egos aside. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. Understanding through Listening and Speaking the Truth. We communicate with authenticity, precision and integrity to create a shared understanding. We identify opportunities within constraints and propose solutions in service to the team. I Win for Teamwin. We believe in staying within our genius zones to succeed and taking accountability for driving results. We are all individual contributors first and always thinking about what can be better. ROLE OVERVIEW As a Data Scientist you will own and lead projects across one or more of our supervised machine learning product lines. We are looking for individuals who have worked end-to-end and have experience building products where machine learning models are a core component. This is an individual contributor role working closely with data science, engineering, client success and business leadership, reporting into the CEO. PROJECTS Supervised ML Models: Build, train, and validate supervised machine learning models to predict engagement, churn and conversion and deliver lead scoring, segmentation, and recommendations. ML & Product Integration: Work with engineering teams to integrate models into the platform. Human-in-the-Loop Collaboration: AI-powered co-pilot for advisors and other user personas, streamlining workflows such as prospecting, conversion, and client servicing. Product Development: Collaborate with Clients, Customer Success and Leadership to scope and develop new models and product features. WHAT YOU'LL DO Design and implement ML solutions to deliver measurable ROI within our clients' fund distribution channels Develop across the data science pipeline, from feature store ETL to batch transform jobs with trained ML models, leveraging AWS (Sagemaker, Redshift, S3) and/or Snowflake Model complex fund distribution problems and discover insights through the use of machine learning and statistics techniques (A/B testing, RCTs) Create meaningful data visualizations to communicate results and highlight business impact Manage product development deadlines, overcome roadblocks, and manage internal and external expectations WHAT YOU'LL BRING 4+ years of experience in applied data science working in Python, SQL, DBT Experience shipping ML products, including feature engineering, training, and tuning machine learning models. Resilience and adaptability - experience working at early-stage startups is a plus COMPENSATION AND BENEFITS The expected starting salary range for this position in Colorado is $140,000 - $180,000. In addition to cash compensation, a meaningful equity stake is a significant part of the overall package. Package also includes benefits program eligibility: Comprehensive health, dental and vision coverage, retirement benefits and flexible PTO. TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

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 stakeholders Requirements 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 infrastructure Nice 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 A problem-solving approach that blends rigor, creativity, and first-principles thinking

Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located. Company Name: Capital One Job Description Locations: VA - McLean, United States of America, McLean, Virginia Distinguished Engineer - Data Architecture Come join my teams in the Enterprise Data & Machine Learning group to build a highly scalable, well governed, data ecosystem that scales across 1000's of AWS accounts, tens of thousands of database instances, and millions of files stored across enterprise. You will also have the opportunity to shape the future of the platform that exchanges terabytes of data daily between Capital One and partners. Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and inner source solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of Data Architecture or Enterprise Architecture experience At least 5 years of experience in design patterns At least 5 years of AWS cloud experience At least 3 years of experience building data products At least 3 years of experience with enterprise level data governance Preferred Qualifications: Masters' Degree 8+ years of data governance, data access, data lineage, data monitoring, and security controls experience 7+ years of experience developing in Python, Java, Scala or Node 6+ years of experience dealing with large number of cross AWS account communications 5+ years of experience in software architecture 3+ years of rich experience in modern database technology evaluation and data modeling 3+ years of experience in building highly resilient distributed data systems 3+ years in data engineering including experience in distributed data pipelines and test data engineering 3+ years of experience in Agile practices 1+ year of experience with developing strategy and implementing target architectures AWS Solution Architect - Professional or AWS Certified Data Analytics - Specialty certified Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $269,400 - $307,500 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at [email protected] . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to [email protected] Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************