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Principal Biostatistics Data Scientist. We are looking for an experienced data scientist with strong biostatistics expertise to join us as a senior member of our team.

A company is looking for a Principal Data Scientist to help shape the future of underwriting products in healthcare and care management.

Principal Associate, Data Scientist - US Card Acquisitions Data is at the center of everything we do.As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast

McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science New York, NY: $173,000 - $197,400 for Princ Associate, Data Science San Jose, CA: $173,000 - $197,400 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that

The Assistant Research Scientist will report to RGEL's Associate Director. The Assistant Research Scientist will work within this collaborative core environment, supporting its mission and partnering with principal investigators who utilize the labs services. We have an exciting opportunity to join

As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. Mentor and coach more junior data scientists, raising the bar for anal

The Senior/Principal Scientist will play a critical role in designing novel small molecules, optimizing drug-like properties, and effectively managing our CRO partners. We are seeking a highly motivated Senior/Principal Scientist (Medicinal Chemistry) to join our Pharmaceutical Sciences team. Mentor

The R&D Formulation Manager/Principal Scientist will lead the design, development, and implementation of novel formulations and polymer materials for use in medical devices, ensuring all activities meet quality and regulatory standards. The R&D Formulation Manager/Principal Scientist is expected to

May serve on internal committees to help further goals of research projects and bring new expertise to the research program. The Research Scientist is responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the PI's laboratory. We

About the role: As a Principal Research Scientist, Electromagnetism, you will lead the architecture, training, and validation of our electromagnetic foundation model, bridging numerically solved physics equations, neural operators, and product-grade simulation. We’re a close-knit team of scientist

Job DescriptionPrincipal Data Scientist – Data & AI (Hybrid) Global Technology Organization We’re partnering with a global leader in secure, cloud-based data management and collaboration solutions to help them hire an accomplished Principal Data Scientist to join their expanding Data & AI organization. This team is building next-generation intelligent products used by thousands of enterprise customers worldwide. In this role, you’ll drive the development of advanced machine learning capabilities that shape product innovation, enhance data intelligence, and fuel large-scale business impact. What You’ll Work On Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources. Lead the design and optimization of scalable data pipelines to support production-grade ML systems. Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions. Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness. Produce clear documentation and communicate insights effectively to both technical and non-technical audiences. Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies. Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required). 10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact. Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch. Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development. Proven experience deploying models in cloud-based or distributed environments. Who Thrives Here Leaders who take ownership, drive research forward, and turn complex ideas into production-ready solutions. Strong analytical thinkers with exceptional communication skills. Collaborative professionals who enjoy working across engineering, product, and data teams. Individuals who embrace continuous learning and stay ahead of modern ML trends.Machine Learning, Machine learning technologies, Python, TensorFlow, TensorFlow, Pandas, PyTorch, ETL - Extract Transform Load, ETL - Extract Transform Load

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

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

Job DescriptionSalary: $170k - $200k Principal Computational Scientist Alexandria Center, New York Hybrid - At least 3 days a week in the office (at least) Full Time January/February 2026 start $170k - $200k About Ochre Bio Ochre Bio develops RNA therapies for chronic liver disease. Our driving vision is to end the need for liver transplants. Over 1.5 million people, globally, die of chronic liver disease every year. For the vast majority the only cure is a liver transplant. With little more than 40,000 transplants performed, this is a health lottery. Ochre exists to change this. Our science is built on three pillars: • Causal human discovery:The largest global collection of human liver data to uncover new therapeutic targets., • Rigorous human validation:World-leading human models that far outclass traditional animal models., • Better therapeutic translation:Optimised RNA chemistry and biology to bring effective therapies to patients faster. Were ambitious, curious, and supportive, embracing failure as part of innovation and guided by our three operating values: • Clarkes Law:Be bold. Think big., • Murphys Law:Fail fast. Learn faster., • Wheatons Law:Support each other, always. The Role We are looking for a talented and highly motivated Principal Computational Scientist to join us to drive the development of advanced RNA medicines for one of the most pressing healthcare challenges of our time. You will provide strategic and scientific leadership for Ochre Bios advanced statistical modelling efforts, with a focus on Late Validation initiatives from concept through to therapeutic hypothesis. The role is accountable for defining and executing high-impact statistical and computational strategies, influencing cross-functional decision-making, and shaping Ochres statistical modelling roadmap. Based at our New York City site, you will be a key partner to our multi-disciplinary late validation team focussed on leveraging our unique human tissue and whole-organ liver models Key Responsibilities • Define the strategic vision for advanced statistical modelling for Ochres Late Validation Platform, • Lead the design, development, and deployment of innovative statistical frameworks for deep-phenotyping datasets., • Oversee experimental design across multiple programs, ensuring statistical rigor and optimal data acquisition., • Act as a thought leader for integrating multi-modal data into target validation pipelines., • Mentor Senior Scientists and other team members, fostering technical excellence and career growth., • Oversee the development and scaling of cloud-based computational workflows and ensure best practices for reproducibility and version control. Must-haves • PhD in Statistics, Computational Biology, Bioinformatics, or related quantitative discipline, with substantial postdoctoral and/or industry experience., • Proven track record of leading large-scale statistical modelling projects from conception to implementation in biotech/pharma., • Demonstrated enthusiasm to blend strategic drive with hands-on data analysis and execution, • Demonstrated leadership in cross-functional project teams., • Deep expertise in advanced statistical methods (e.g., Bayesian modelling, hierarchical modelling, causal inference) and their application to biological datasets., • Strong coding skills in Python and/or R. Nice-to-haves • Experience leading geographically distributed teams and managing multiple concurrent projects., • Experience building scalable and automated data analysis pipelines (e.g. Nextflow)., • Prior experience with preclinical or clinical trial data analysis., • Experience with project and line management, especially in matrix environments. If youre ready to make an impact in the fight against chronic liver disease, wed love to hear from you Apply now!

Job DescriptionCompany Description From 1946, people of the House of Parfums Christian Dior in France and around the world embody the spirit of excellence, creativity, and the unique savoir-faire of its creator, the couturier-perfumer Christian Dior. Revolutionizing the codes of French elegance and luxury with its perfumes, combining tradition and daring innovation in makeup and skincare, we reinvent every day the Dior style and affirm beauty and joy in its entirety. Parfums Christian Dior is part of the LVMH Group. Job Description We are seeking a strategically minded and analytically driven Manager, Business Analyst & Digital Planning to lead forecasting, performance analysis, and business planning for our direct-to-consumer (DTC) digital channel. In this role, you will design forecasting models, build dashboards, and translate data into insights that shape and accelerate the digital business. The ideal candidate is equal parts data scientist, business strategist, and storyteller—able to transform complex data into clear, actionable insights that drive growth and elevate the luxury digital experience. PRINCIPAL DUTIES AND RESPONSIBILITIES Forecasting & Analysis: • Lead the development, maintenance, and refinement of sales and demand forecasts at SKU, category, and channel levels—integrating historical trends, seasonality, and business inputs from Finance and Sales Planning., • Continuously analyze and recap product and category performance to identify trends, highlight risks and opportunities, and ensure alignment across sales and inventory planning., • Conduct variance analysis (forecast vs. actuals), delivering insights and corrective recommendations to improve forecast precision and agility., • Analyze and share business performance on a daily, weekly, and monthly basis to identify trends, risks, and highlight opportunities for growth., • Partner with Beauty Tech for reporting and generate insight-driven narratives, preparing regular performance recaps, and communicate findings., • Create KPI scorecards that empower teams with accessible insights., • Proactively identify anomalies versus target plans and find actionable solutions., • Stay current on digital and retail trends, emerging technologies, and evolving consumer behaviors that could influence traffic, conversion, and sales performance.Qualifications, • 5-7 years of experience in digital commerce, forecasting, or digital planning ideally within a luxury, beauty, or premium consumer brand, • Proven expertise in sales forecasting, demand planning, and performance analytics, with the ability to interpret financial reports and translate insights into actionable business strategies, • Experience in leveraging data and insights to inform digital strategy, marketing performance, and profitability optimization., • Strong understanding of DTC business models, merchandising strategy, and eCommerce KPIs (traffic, conversion, AOV, retention, and profitability)., • Demonstrated ability to translate complex data into clear business narratives, influencing cross-functional teams and senior stakeholders., • Strategic and detail-oriented, with the ability to manage both high-level insights and operational execution., • Self-starter who can work autonomously, anticipate business needs, and drive projects from analysis to action., • A mindset of continued curiosity and innovation, always seeking new ways to improve forecasting accuracy, efficiency, and business impact., • Passion for the beauty and fragrances industry, competitive landscape & trends., • Advanced proficiency in Microsoft Excel and PowerPoint; experience with digital analytics and dashboard tools such as Power BI, Google Analytics, and Salesforce, • Experience working with a foreign parent company a plus. Additional Information This job description is intended to cover the core accountabilities of the position and is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice. All your information will be kept confidential according to EEO guidelines. LVMH Inc. uses the published salary range as a guideline to provide our employees with market competitive pay while allowing for flexibility to recognize and reward various levels of expertise, performance, and tenure. While the published salary range is a good faith reflection of the targeted salary level for the position, LVMH Inc. reserves the right to pay outside of the published range of $115-$125,000.

Job Description At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role As a Principal Data Scientist, you will serve as the senior technical leader within one of our leading Data Science teams, reporting to the Head of UK AI & Data Science. You will lead the design and execution of high-impact AI and data science initiatives, working hand-in-hand with embedded ML Engineers to move prototypes into production-ready pilots that deliver measurable business outcomes. This role is focused on delivery and applied impact: you will scope and frame complex business problems, develop advanced models, and collaborate with ML Engineers to ensure solutions are integrated, monitored, and piloted successfully. Once validated, you will work with the central engineering, data, and product teams, who own firm-wide platforms, scaling, and governance, to ensure smooth handoff and enterprise adoption. As the most senior data science IC, you will also mentor and guide a team of data scientists, set technical direction, represent TWG externally, and ensure all projects align with firm-wide priorities and responsible AI practices. Key Responsibilities: • Lead the design and delivery of flagship AI/ML projects that drive measurable value across financial services and adjacent sectors., • Act as senior technical authority on advanced methods (generative AI, causal inference, LLM-based analytics, RAG, simulation)., • Partner closely with embedded ML Engineers to operationalize models into production-ready pilots., • Collaborate with central engineering, data, and product teams to hand off successful pilots for scaling, governance, and long-term adoption., • Translate complex business challenges into enterprise-level AI solutions with tangible ROI., • Mentor and guide data scientists, fostering technical excellence, rigor, and responsible AI adoption., • Partner with senior stakeholders, including MDs and executive committees, to ensure AI initiatives align with priorities., • Represent TWG Global in external forums, universities, regulators, and partnerships with technology leaders., • Define and enforce standards for experimentation, reproducibility, and responsible AI. Qualifications: • 8+ years of experience in data science or machine learning, with proven delivery of enterprise-impact projects., • Deep expertise in advanced machine learning, causal inference, deep learning, and statistical modeling., • Demonstrated success leading end-to-end projects and influencing senior stakeholders., • Hands-on technical depth in Python (or R), cloud platforms, and modern ML frameworks., • Experience mentoring or leading small, high-performing teams., • PhD or equivalent advanced degree in Data Science, Statistics, Computer Science, or related quantitative discipline., • Experience using Palantir platforms (Foundry, AIP, Ontology) to develop and operationalize insights., • Familiarity with LLM application frameworks, vector databases, and knowledge graphs., • Publications in top-tier AI/ML or data science conferences/journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA)., • Contributions to the open-source data science/ML ecosystem (libraries, frameworks, widely adopted tools)., • Track record of thought leadership (invited talks, keynotes, conference leadership roles)., • Experience establishing standards for reproducibility, experimentation, and responsible AI. This is a hybrid position based in New York, NY or Santa Monica, CA. Fully remote candidates will not be considered. We offer a competitive base pay + a discretionary bonus will be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits. TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Principal Data Scientist I - QuantumBlack, AI by McKinsey (Job ID: 103970).Do you want to work on complex and pressing challenges - the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you've come to the right place.A