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DS position on a team in C323 supporting a project that leverages advanced AI techniques, including natural language processing, computer vision, and machine learning. The project streamlines the analysis of engineering documents, performs comprehensive system decomposition, and identifies potential vulnerabilities. The framework provides a holistic approach to understanding, managing, mitigating cybersecurity risks, but integrating mission and system decomposition, software bill of materials analysis, and enriching vulnerability discovery capabilities.

Who we are At CarGurus (NASDAQ: CARG), our mission is to give people the power to reach their destination. We started as a small team of developers determined to bring trust and transparency to car shopping. Since then, our history of innovation and go-to-market acceleration has driven industry-leading growth. In fact, we're the largest and fastest-growing automotive marketplace, and we've been profitable for over 15 years. What we do The market is evolving, and we are too, moving the entire automotive journey online and guiding our customers through every step. That includes everything from the sale of an old car to the financing, purchase, and delivery of a new one. Today, tens of millions of consumers visit CarGurus.com each month, and 30,000 dealerships use our products. But they're not the only ones who love CarGurus-our employees do, too. We have a people-first culture that fosters kindness, collaboration, and innovation, and empowers our Gurus with tools to fuel their career growth. Disrupting a trillion-dollar industry requires fresh and diverse perspectives. Come join us for the ride! Role overview CarGurus is looking for a Product Manager who will help shape the roadmap for our Data Science team. You will collaborate closely with a number of teams including engineering, analytics, marketing, sales and a variety of other product teams to deliver exceptional data science led capabilities. Are you a driven collaborator with a strong track record of building data-driven products and capabilities? Do you bring curiosity, creativity, a passion for innovation, and analytical and cross-functional leadership skills? Are you excited by the mission to help millions of shoppers find their next car? Look no further; we'd love to invite you to apply! What you'll do Build a strong partnership with our Data Science team to support model development from concept to launch. Own the team's vision and roadmap; generate buy-in and facilitate cross-functional collaboration with a wide range of stakeholders. Ensure that prioritization of work aligns with high-level strategies and business objectives. Maintain high levels of engagement with stakeholders through various forms of written and verbal communication, including roadmaps, project plans, status reports, and executive presentations. Empower our team of Data Scientists to complete their best work - providing the necessary requirements, guidance, and space to unlock new opportunities to make our product better. Highlight and enforce data quality best practices and standards across the product and engineering organization, focusing on data integrity, consistency, and accuracy. Help implement policies to ensure compliance with industry regulations and organizational guidelines. What you'll bring 3+ years of product management experience with at least 1+ years building machine learning, predictive analytics or AI enabled products Expert judgment to help prioritize incoming requests based on value-add to the business. Strong team player with high emotional intelligence and the ability to bring people together across varying work styles Tenacious self-starter with the ability to work independently, particularly in a highly cross-functional or matrixed environment Excellent written and verbal communication skills Prior experience in a Data Science / ML or Analytics Working at CarGurus We reward our Gurus' curiosity and passion with best-in-class benefits and compensation, including equity for all employees, both when they start and as they continue to grow with us. Our career development and corporate giving programs, as well as our employee resource groups (ERGs) and communities, help people build connections while making an impact in personally meaningful ways. A flexible hybrid model and robust time off policies encourage work-life balance and individual well-being. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives. We welcome all CarGurus strives to be a place to which people can bring the ultimate expression of themselves and their potential-starting with our hiring process. We do not discriminate based on race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. We foster an inclusive environment that values people for their skills, experiences, and unique perspectives. That's why we hope you'll apply even if you don't check every box listed in the job description. We also encourage you to tell your recruiter if you require accommodations to participate in our hiring process due to a disability so we can provide the appropriate support. We want to know what only you can bring to CarGurus. #LI-Hybrid

General Summary The Data Science Engineering Intern T will work on project opportunities that are designed to develop professional work knowledge and the abilities to support the efforts and projects that have global importance to the success of the business. The work involves transforming information that currently lives in disconnected PDFs, spreadsheets, and other various forms into a searchable, intelligent metadata system to streamline Engineering analysis, and enable new ways for data analysis. With direction from experienced engineers and access to a collaborative technical team, this role will also work on a portfolio project that showcases technical depth and UX to architect internal enterprise ML that will accelerate innovation cycles. Specific Duties and Responsibilities Under the supervision of an assigned engineer or experienced designee, the Data Science Engineering Intern T will: Architect and build a smart, structured metadata layer that enables faster, more accurate access to quality control data. Develop AI/ML tools that identify and tag important data attributes-such as supplier names, part numbers, spec limits, and inspection parameters. * Assist in the creation of a metadata system and chat user interface that enables fast, intuitive querying and analysis via RAG (Retrieval Augmented Generation). * Parse and clean structured and unstructured datasets work with AI tools such as OCR and intelligently convert spreadsheets to fit a single architecture. * Resolve inconsistencies across data and build schemas for Vector DB.* Adhere to the Company's Quality Management System (QMS) as well as domestic and global quality system regulations, standards, and procedures. * Understand relevant security, privacy and compliance principles and adhere to the regulations, standards, and procedures that are applicable to the Company. * Ensure other members of the department follow the QMS, regulations, standards, and procedures. * Perform other work-related duties as assigned. Indicates an essential function of the role Required Qualifications Minimum education and experience Junior or Senior pursuing a Bachelor's degree in Data Science, Computer Science or related field. Preferred qualifications Experience with Python and common data libraries (pandas, NumPy, etc.). Experience with Azure ML is a plus. Interest or background in machine learning, NLP, or ETL data modeling is a plus. Comfortable working with large and unstructured datasets. Self-starter with strong problem-solving skills. Resourceful and security-driven development practices with strict adherence to industry data compliance. (HIPAA, SOC2, etc.) Strong oral, written, and interpersonal communications skills are required. High degree of accuracy and attention to detail. Proficiency with MS Word, Excel, and other standard office tools. Location and Pay: Alameda, CA $21.00 to $33.00/hour Working Conditions General office environment. Willingness and ability to work on site. Must be able to move between buildings and floors. Must be able to remain stationary and use a computer or other standard office. equipment, such as a printer or copy machine, for an extensive period of time each day. Must be able to read, prepare emails, and produce documents and spreadsheets. Must be able to move within the office and access file cabinets or supplies, as needed. Must be able to communicate and exchange accurate information with employees at all levels on a daily basis. What We Offer A collaborative teamwork environment where learning is constant, and performance is rewarded. The opportunity to be part of the team that is revolutionizing the treatment of some of the world's most devastating diseases. A generous benefits package for eligible employees that includes medical, dental, vision, life, AD&D, short and long-term disability insurance, 401(k) with employer match, an employee stock purchase plan, paid parental leave, eleven paid company holidays per year, a minimum of fifteen days of accrued vacation per year, which increases with tenure, and paid sick time in compliance with applicable law(s). Penumbra, Inc., headquartered in Alameda, California, is a global healthcare company focused on innovative therapies. Penumbra designs, develops, manufactures, and markets novel products and has a broad portfolio that addresses challenging medical conditions in markets with significant unmet need. Penumbra sells its products to hospitals and healthcare providers primarily through its direct sales organization in the United States, most of Europe, Canada, and Australia, and through distributors in select international markets. The Penumbra logo is a trademark of Penumbra, Inc. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, military or veteran status, or any other characteristic protected by federal, state, or local laws. If you reside in the State of California, please also refer to Penumbra's Privacy Notice for California Residents. For additional information on Penumbra's commitment to being an equal opportunity employer, please see Penumbra's AAP Policy Statement.

Job Description: THE OPPORTUNITY We are looking for a visionary leader for Data Science at Scholastic. The Director of Data Science has overall responsibility for leading data science, machine learning, artificial intelligence and predictive modeling projects within Scholastic. The Data Science team is tasked with critical projects designed to mitigate risks and/or promote growth for Scholastic. We are looking for an experienced leader with significant Data Science expertise who is motivated to make a significant impact in Scholastic. This role reports to the Vice President of Data and Analytics. The ideal candidate will have a proven track record in utilizing data science to drive revenue growth for an organization. RESPONSIBILITIES LEADERSHIP AND STRATEGIC DIRECTION Own the data science solutions strategy and uncover opportunities to apply data science to Scholastic's businesses. STAKEHOLDER ENGAGEMENT AND COLLABORATION Engage key stakeholders to understand their business and data needs and translate them into technical specifications to deliver data science, machine learning, and AI solutions that have meaningful business impact. PROJECT MANAGEMENT AND DELIVERY Ensure that the development and deployment of data science models adheres to industry best practices. Design and champion data science and data products methodologies for the entire team. Ensure consistent, on-time delivery of team projects. TEAM DEVELOPMENT AND MANAGEMENT Attract, hire, coach, mentor, retain and develop a top team of data scientists. Promote collaboration, continuous learning, and excellence. DATA SCIENCE EXPERTISE AND INNOVATION Serve as Scholastic's leading expert in data science, machine learning and artificial intelligence to guide strategy and projects. EXECUTIVE LEVEL COMMUNICATION Effectively communicate complex technical concepts and insights to executive level audiences ORGANIZATIONAL IMPACT Use data science to reduce costs, drive growth, and identify and mitigate risk for Scholastic The role is based in the NYC office and requires being in the office three days per week. WHO WE ARE Scholastic Corporation (NASDAQ: SCHL) is the world's largest publisher and distributor of children's books, a leading provider of core literacy curriculum and professional services, and a producer of educational and entertaining children's media. The Company creates quality books and ebooks, print and technology-based learning programs for pre-K to grade 12, classroom magazines and other products and services that support children's learning both in school and at home. With operations in 14 international offices and exports to 165 countries, Scholastic makes quality, affordable books available to all children around the world through school-based book clubs and book fairs, classroom collections, school and public libraries, retail and online. True to its mission of 100+ years to encourage the personal and intellectual growth of all children beginning with literacy, the Company has earned a reputation as a trusted partner to educators and families. Learn more at www.scholastic.com. Some benefits that we offer: Full suite of health and wellness benefits (including a $0 deductible Medical Plan) Retirement Savings Plan 401(k) with options for both Roth and Traditional Contributions Tuition-Free programs for undergraduate and graduate degrees Generous Parental Leave Program Employee Stock Purchase Plan (ESPP) with opportunity for discounted stock at a 15% discount Thank you for your consideration in choosing Scholastic. #LI-MV1 #LI-MA1 Qualifications HOW YOU CAN FIT (Qualifications) Knowledge, Skills, and Abilities: Experience using Statistical and Machine Learning algorithms on business data and solving problems in a commercial environment. Strong understanding of data analysis and modeling, solid background in statistics, computer science and related fields. Proven experience leading data science teams and data products teams. Expertise in Python, relevant machine learning packages such as scikit-learn. Expertise in SQL. Experience with AWS SageMaker, Redshift, S3. Excellent communication skills Excellent team and project management skills Experience: 8-10 years of experience in Data Science 7+ years of experience of people management including leading other people managers Education: Bachelor's degree in Statistics, Economics, Mathematics, or Computer Science. Advanced degree in quantitative discipline preferred Time Type: Full time Job Type: Regular Job Family Group: Information Technology Location Region/State: New York Compensation Range: Annual Salary: 220,000.00 - 250,000.00 EEO Statement: Scholastic is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of race, religion, color, sex, pregnancy, national origin, marital status, sexual orientation, gender identity or expression, age, non-disqualifying physical or mental disability, or status as a disabled veteran or Vietnam veteran. Those factors shall not influence the determination of qualifications for a job or other opportunity within the company. Further, all personnel actions (such as compensation, tuition aid, benefits, transfers, promotions, and dismissals, company-sponsored training, social and recreational programs) shall be administered without discrimination. EEO is the Law Poster EEO Scholastic Policy Statement Pay Transparency Provision

Job Description: We are seeking a motivated and detail-oriented Data Science Intern to join our team. In this role, you will work closely with other analytics professionals to support data-driven decision-making across the organization. You will gain hands-on experience with data collection, cleaning, analysis, and visualization, and contribute to real-world projects that drive business impact. Key Responsibilities: Assist in data preprocessing, feature engineering, and exploratory data analysis. Support the development and evaluation of machine learning models. Create visualizations and dashboards to communicate insights. Collaborate with cross-functional teams to understand data needs and deliver actionable solutions. Document methodologies and present findings to stakeholders. Qualifications: Currently pursuing a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Familiarity with Python, R, SQL, and data analysis libraries (e.g., pandas, scikit-learn, matplotlib). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with data platforms (e.g., SQL, PostgreSQL) or data visualization tools (e.g., Tableau, Qlik). Knowledge of data science modeling techniques. Knowledge of machine learning concepts and statistical modeling. Base Pay Range: Hourly salary range offered for this position is estimated to be $20.00 - $25.00. However, the actual pay range depends on each candidate's experience, location, and qualifications. Not meeting every single requirement? No problem! We are looking for candidates who possess unique skills that set them apart from the rest. If you're enthusiastic about this role and believe you have the skills and abilities that would make you successful, don't hesitate to apply today! Benefits of working at Flexential: Medical, Telehealth, Dental and Vision 401(k) Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) Life and AD&D Short Term and Long-Term disability Flex Paid Time Off (PTO) Leave of Absence Employee Assistance Program Wellness Program Rewards and Recognition Program Benefits are subject to change at the Company's discretion. EEO Statement: Flexential is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company's Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we've cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we're building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. About the Role: Join AQMed to revolutionize heart health using AI and advanced sensing for next-gen medical diagnostics. You will lead our Data Science/ Machine Learning (DS/ML) team and deliver impactful data products to benefit patients and physicians worldwide. In close collaboration with Product and Engineering, you will be responsible for designing and building data products that provide actionable and useful insights that are derived from our proprietary hardware & data. You excel in user-centricity, project execution, and you drive the development and delivery of data products that solve real-world user problems. You are excited by shipping functional, useful, and market-driven products and iterating them in the real world. The success indicators for this role include product adoption, user satisfaction, regulatory & quality success, time-to-market, and business impact. What You'll Do: As one of the AQMed leads, you'll work closely with Product & Engineering to define the vision, strategy, and roadmap for data products that align with business objectives, incorporating ML capabilities where valuable. Curiosity & partnership are critical: you will be working alongside other leads to optimize the entire signal processing chain, from sensors to final data output. Collaborate with AQMed leads to periodically and relentlessly prioritize our work to achieve BU-level goals using an OKR framework. Exemplify user-centricity by working closely with our clinical partners. Through rapid prototyping and iterative development, turn clinical insights, user needs, and business goals into clear product requirements and design specifications. Prioritize features by balancing business impact, user feedback, and technical feasibility to drive meaningful outcomes. Establish & track progress of DS/ML team-level OKRs, oversee timelines and budgets, and drive the end-to-end lifecycle of data products to ensure successful delivery and impact. Ensure the scalability, usability, and impact of ML models in production environments. Skillfully balance the need to execute quickly with the need to uphold a high standard in research. Keep abreast of the cutting-edge techniques that align with product requirements. Be a confident representative of AQMed internally within SandboxAQ and externally (for example, with clinicians, development partners, regulators, industry partners, etc). Identify opportunities (e.g. conference presentations & proceedings, peer-reviewed journals) to elevate our team members & showcase our team's capabilities. Lead & mentor a multidisciplinary team of data scientists and ML engineers. Foster a collaborative and innovative work environment, driving professional growth and excellence. About You: 10+ years in engineering and product leadership roles: You have served as an individual contributor in an engineering role. You have been an engineering manager. You excel as a leader at the intersection of Product Development & AI/ML. Advanced degree in engineering, computer science, AI, mathematics, or related field. Strong experience in AI-enabled data/ software medical product development from concept development (stage 0-3) through commercialization (stage 4+) You effectively communicate at the executive level, ensuring decisions are clearly linked to business objectives and routed to appropriate stakeholders for efficient action. Action-oriented: you proactively create solutions, knowing that a delay in our product launch means a delay in impacting patient care. You are willing and able to work from our Palo Alto location 50% of the time (hybrid). Nice to Haves Cardiovascular device/cardiology experience and familiarity/expertise in the electrophysiology of the heart. The US base salary range for this full-time position is expected to be $204k-$286k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity. SandboxAQ welcomes all. We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can't go back to normalcy because great breakthroughs come from great teams and we are the best in AI and quantum technology. We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. We are seeking a Senior Staff Data Scientist with profound expertise to drive the direction and vision of a major data science initiative. The ideal candidate will have a deep understanding of machine learning, AI, and data science, with a proven track record of designing and developing complex AI solutions that scale. This role requires exceptional leadership skills to mentor senior data scientists and work closely with executive leadership. You will lead innovation, set technical direction, and help establish high-impact AI solutions aligned with our business goals. Key Responsibilities: Drive the Direction and Vision of a Major DS Initiative: Lead and define the technical direction for a significant data science initiative, ensuring alignment with organizational goals and delivering transformative AI solutions at scale. Identify High-Impact Opportunities: Discover business opportunities through in-depth research, data exploration, and collaboration with executive leadership to align on strategic initiatives and high-value projects. Development & Productionization: Spearhead the development and productionization of machine learning models, from concept to deployment. Ensure that models are scalable, reliable, and optimized for performance in real-time and batch systems. Establish Robust ROI Measurement Mechanisms: Develop and implement mechanisms to measure ROI on AI/ML initiatives, including setting up experimentation frameworks to evaluate system capabilities and performance. Innovation & Research Intergration: Keep up with the cutting-edge research and industry development; Experiment and prototype research findings to enhance model performance and business impact Cross-functional Collaboration: Drive collaboration across AI, Engineering, Product, and Design teams to integrate data-driven decision-making and advanced AI capabilities into the organization's products and services. Mentorship and Guidance: Mentor senior data scientists, set technical standards, promote best practices, and ensure thorough documentation. Provide coaching to help the team grow both technically and professionally, fostering an environment of continuous learning and improvement. Presentations and Engagement: Regularly present to executive leadership and cross-functional teams, delivering impactful executive-level presentations to secure buy-in and alignment on AI/ML initiatives. Business Strategy Alignment & Resource Allocation: Align AI/ML efforts with business strategy and resource allocation. Provide guidance on the prioritization of AI/ML projects to maximize impact and drive business value. Technical Direction & Innovation: Lead and provide senior-level technical direction across teams. Promote innovative AI/ML solutions that push the boundaries of what's possible, generating excitement and buy-in from technical and non-technical stakeholders. Problem Identification & Solution Development: Identify complex company-wide challenges and opportunities for AI/ML solutions. Lead the development of prototypes or MVPs that can evolve into impactful, scalable solutions. Strategic and Cultural Leadership: Contribute to the overarching strategy, roadmap, and vision for the AI/ML organization. Foster a culture of craftsmanship, innovation, and excellence, promoting best practices across the team and ensuring high-quality solutions. Qualifications: B.Sc. in AI/ML, Computer Science, Statistics, Mathematics, or a related quantitative field Minimum of 10 years of experience in data science, machine learning, or AI, with a proven track record of leading end-to-end model development cycle and delivering impactful projects Profound experience and theoretical understanding of advanced quantitative methods in statistical, machine learning and deep learning. Demonstrated ability to lead and mentor senior data scientists, fostering a collaborative environment for technical growth Exceptional communication skills, with the ability to influence stakeholders and deliver executive-level presentations and documentation Extensive experience with SQL, Python, and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) Significant experience with cloud platforms (e.g., AWS, Microsoft Azure, Databricks, Kubernetes) Ability to solve complex technical challenges and create long-term strategic visions for AI/ML teams Preferred Skills: Strong background in experimentation, causal inference, and counter-factual modeling Experience in advanced modeling techniques, including numerical optimization algorithms, natural language processing (NLP), large language models (LLM) and reinforcement learning Research experience in computer science, statistics, machine learning and operational research, or a related field Strong leadership skills and the ability to manage cross-functional teams with a strategic mindset Advanced degree (M.Sc., Ph.D.) in a related field is a plus. This is a unique opportunity to shape the future of AI/ML initiatives within the organization, drive meaningful business outcomes, and help cultivate a culture of excellence and innovation in the data science field. If you're passionate about leading impactful AI/ML projects and mentoring the next generation of data scientists, we encourage you to apply. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

This role is not open to visa sponsorship or transfer of visa sponsorship including those on OPT and STEM-EXT OPT, nor is it available to work corp-to-corp. This role requires a hybrid schedule and will be based in our Fort Mill, SC Headquarters (Tuesday through Thursday) and work fully remotely on Mondays and Fridays each week. We are looking to hire an Associate Data Science Product Manager to join our Deregulated Energy industry group on our marketplace business. This product team is responsible for transforming our sales center, digital buy flows, and our business operations through applications in AI & ML. This group focuses on both building the underlying technology and applying the applications to the business opportunities to create value. Example projects include building agentic workflows for site personalization and real-time technology, powered by generative AI, to assist our sales professionals. In this role, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. As an Associate, you will be-hands on technical, both in leveraging the AI/ML solutions to drive value and in assisting in point solutions that augment the product you’re working on. We are looking for 1+ years of hands-on data science / advanced analytics experience or a masters degree in related fields. This is a hybrid position located in our South Charlotte or NYC office. What You'll Do Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action. Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead. Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets Machine learning models for offline and proof-of-concept use cases LLM workflows to automate tasks or for reasoning capabilities for specific features in your product End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative. Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges. Who You Are Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles.  Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. You have a strong technical and data foundation that enables you to communicate effectively with data scientists, understand relevant algorithms, and explain technical concepts to non-technical stakeholders. What We're Looking For Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences. Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT4). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau). Compensation Cash Compensation Range: *$95,000-120,000  *Note actual salary is based on geographic location, qualifications, and experience.  Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Paid Time Off Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Who We Are Founded in 2000, Red Ventures is a portfolio of growing digital businesses that bring consumers and brands together through integrated e-commerce, strategic partnerships and many proprietary brands including Bankrate, AllConnect.com and Reviews.com. Headquartered south of Charlotte, NC, Red Ventures has over 3000 employees in offices across the US, as well as London and Sao Paulo. For more information, visit https://redventures.com and follow @RedVentures on social platforms. We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.  We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com .  If you are based in California, we encourage you to read this important information for California residents linked here . #LI-KS1 #LI-TL1 Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

WHAT WE DO MATTERS: At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. We believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. We inspire, we build, and we celebrate. We dream big, love our users, hustle every day, and always do the right thing to win - together. Our people are at the heart of our success. About the Role and Team The Knot Worldwide is actively seeking a skilled Lead Data Scientist to become an integral part of our Marketing Science team. This role is centered around utilizing advanced analytics and statistical methods to empower our marketing team with insights that optimize performance. As a Lead Data Scientist, you will develop analytical tools, conduct ad-hoc analyses, and assist in correlating user activity with marketing initiatives. Your involvement will extend to statistical modeling, investigations, and visualizations, collaborating with various teams to drive measurable outcomes. As a member of the wider Data organization within TKWW, your primary focus will be on constructing analytic models and designing as well as analyzing experiments to quantify the impact of your contributions. In this capacity, you will serve as both a valued partner and trusted advisor, playing a pivotal role in our data-driven decision-making process across the Data and Marketing departments. As a Lead Data Scientist, you will be responsible for: Collaborating with marketing stakeholders across Brand Media, Lifecycle Marketing, Product Marketing, or Acquisition Marketing to provide data-driven insights. Conducting in-depth analysis of TKWW user behavior to identify growth opportunities that enhance couple or vendor acquisition and engagement. Tackling advanced analytics challenges related to media mix modeling, geographic experimentation, landing page testing, and lifetime value prediction. Spearheading end-to-end projects from initial ideation and business alignment, through to measurement and deployment of insights. Assisting teams in defining KPIs, setting strategic goals, and designing and analyzing A/B testing for data-driven decision making. Developing and maintaining reports and data products for the organization using various BI tools such as Preset, Looker, Shiny, or Streamlit. Effectively communicating, collaborating and presenting results to stakeholders within TKWW to drive data-informed decisions. Investigating novel methodologies to analyze our data for continuous improvement. Mentoring junior team members in analytic and statistical best practices. To be successful in this role, you should have: A bachelor’s or master’s degree in Statistics, Mathematics, Data Science, Engineering, or a related field A minimum of 5-8 years of experience in data science and analytics roles within technology brands, with a preference for experience in a two-sided marketplace or e-commerce domain. Demonstrated experience and knowledge in metrics and models relevant to Marketing such a Media Mix Modeling. Foundational knowledge of statistics including hypothesis testing, regression analysis, and forecasting, and hands-on experience with A/B testing design and analysis. Advanced knowledge of SQL and ability to write efficient SQL code Ability to code in Python for data manipulation, visualization, and analysis using Jupyter notebooks Experience in using and building self-service analytics tools. Excellent communication skills, both written and verbal, with the ability to explain complex concepts to audiences of varying technical proficiency. A strategic mindset capable of translating business problems into analytics opportunities and solutions. A collaborative attitude that fosters a culture of data-driven decision making across the organization. An innovative spirit that thrives on exploring new ideas and approaches to solve challenging problems. At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job if it sparks your passion to join TKWW and make a difference! WHAT WE LOVE ABOUT YOU: You Dream Big. You iterate and experiment to drive innovation. You Love Our Users. You keep our global community at the center of everything you do. You Do the Right Thing. You strengthen your team through respect, fairness, and inclusion. You Hustle Every Day. You favor urgency and own your outcomes. You Win Together. People are at the heart of our success and you play as a team. WHAT YOU LOVE ABOUT US: We believe in a wide range of holistic offerings to support our employees so that they can live our values day in and day out. From mental wellbeing, physical health and financial planning, to engaging perks and discounts, we are in the business of celebrating and supporting the Moments that Matter both in and out of the “office”. We offer flexible vacation, generous parental leave and prioritize initiatives that support the growth, development, and happiness of our people. Together@TKWW is our approach to hybrid work. It’s designed to support how we work best: combining the flexibility we value with meaningful opportunities to connect in person. Whether a role is Together@TKWW-eligible or not, we believe in purposeful moments to come together, build strong relationships, and drive bold ideas forward. For Together@TKWW-eligible roles, this includes regular in-office time to foster collaboration and connection. For roles not eligible for in-office expectations , we support connection through virtual collaboration and intentional gatherings. To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England; New York, NY; and Washington, D.C. -- US Notice: The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Privacy Notice: TKWW processes your personal data as part of the recruitment process, based on the legal basis of executing pre-contractual measures at your request. This means we use your information to assess your application and carry out the necessary steps for a potential employment contract. Only the information strictly necessary for evaluating your application is collected. You can request access, rectification, or deletion of your data. For more information on how we handle your personal data, please refer to our . If you wish to file a complaint, you may contact the competent data protection authority.

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

Must be able to work onsite at ABC Supply Co, National Support Center in Beloit, WI in a hybrid arrangement. ABC Supply is North America's largest wholesale distributor of exterior and interior building products. ABC Supply is proud to be an employee-first company. In fact, we have won the Gallup Great Workplace Award every year since its inception in 2007, and Glassdoor has named us one of the best places to work in the country. Be part of a company that recognizes your talents, rewards your efforts, and helps you reach your full potential. At ABC Supply, we have YOUR future covered. Summary: As the Manager of Data Science, you will be responsible for leading and managing our data science team, driving data-driven initiatives, and contributing to the overall data strategy of ABC Supply Co. You will collaborate closely with enterprise analytics and business teams to identify business challenges, develop innovative data science solutions, and provide actionable insights. Your role will be instrumental in shaping our data science capabilities and ensuring the successful execution of analytics projects. Essential Duties and Responsibilities: Lead and mentor a team of data scientists, providing guidance, technical expertise, and support to ensure the successful execution of projects. Foster a collaborative and innovative team environment. Oversee, in conjunction with Product Owners, end-to-end data science projects, from problem definition and data exploration to model development, validation, and deployment. Apply advanced statistical and machine learning techniques to analyze complex datasets, extract meaningful patterns, and develop predictive and prescriptive models. Contribute to the development of the company's data strategy by identifying opportunities to leverage data science to enhance business processes, optimize operations, and drive revenue growth. Collaborate with key stakeholders from various departments within the company, including the National Support Centers, Field Operations, and Branch Operations to understand their data needs and deliver solutions to meet business objectives. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Evaluate and implement new tools, algorithms, and frameworks to enhance the team's capabilities. Ensure the team creates and maintains documentation using appropriate tools, including wikis for narrative documentation and version-controlled repositories for technical documentation. Operate in agile environment intended to facilitate iterative development and continuous delivery. Effectively communicate with colleagues on both technical and non-technical topics, across a variety of communications platforms, including voice and video calls, chat, and email Qualifications and Skills: 5+ years of experience in data science, with a proven track record of leading successful data science projects and managing teams Significant experience extracting data from databases or other sources with SQL Significant experience with at least one of Python or R, and common packages used for data wrangling (e.g. pandas, tidyverse), modeling (e.g. scikitlearn, caret/tidymodels), and data visualization (e.g. seaborn, ggplot2) Significant experience in at least one "non-wrangling" data science domain, e.g. optimization, clustering/segmentation, supervised learning, time-series forecasting Significant experience with descriptive and inferential statistics, e.g. hypothesis testing, confidence intervals, correlations, etc. Significant experience with at least one enterprise data visualization tool (Tableau preferred) Experience with at least one cloud data platform (Azure and Snowflake preferred) This role is likely best suited toward candidates with a master's degree and 7-10 years of related experience. Benefits may include: Health, dental, and vision coverage - eligible after 60 days, low out of pocket 401(k) with generous company match - eligible after 60 days, immediately vested Employer paid employee assistance program Employer paid short term and long term disability Employer paid life insurance Flex spending Paid vacation Paid sick days Paid holidays Equal Opportunity Employer / Drug Free Workplace ABC Supply values diversity and we actively encourage women, minorities, and veterans to apply.

The Core Data Science team owns a suite of products that provide actionable insights to the on-vehicle software teams. In particular, our scenario search tools are used by teams developing and validating Zoox’s on-vehicle AI stack to estimate and analyze event rates at scale, enabling the launch of an autonomous mobility service. Our team also works closely with dedicated Data Science teams to develop key driving behavior metrics and direct new feature development, using large scale data from our autonomous driving fleet and simulations. You are a good fit for our team if you are a software engineer with a propensity for big data analysis, or a data engineer / scientist with an understanding of and enthusiasm for sound software engineering practices. You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to a uniquely valuable data set in the autonomous vehicle industry. In this role, you will: Collaborate with our software and systems engineering teams to build and support core scenario search capabilities for Zoox Work alongside our data engineering and data science teams to develop and use robust large scale data solutions Identify key areas of investment for our vehicle software teams Establish best practices and processes around data-driven decision-making Qualifications Extensive experience with large-scale data processing frameworks, with preference for Spark or Hadoop Software development experience in a production environment, with preference for Scala, Python, or Java; or demonstrated experience learning new programming languages Familiarity with any version control system, with preference for GitExperience designing metrics and building mechanisms that deliver robust, actionable insights Good communication and collaboration skills Bonus Qualifications Experience training and deploying ML models to large scale production use cases Basic familiarity with C++ Experience with geospatial data analysisFamiliarity with or exposure to experimentation platforms Basic familiarity with any autonomous vehicle competency, e.g. perception, localization, prediction, planning, or controls Compensation: There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $192,000 to $273,000. A sign-on bonus may be offered as part of the compensation package. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. About Us: LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities. Nexis Solutions, a division of LexisNexis, is seeking a Data Scientist who will focus on search and be dedicated to the creation of next-generation search relevance techniques and strategies for LexisNexis, dramatically improving how our users search and find the answers to their research questions. This role should be able demonstrate versatility, collaborate across teams, and be enthusiastic in tackling new problems as we continue to push technology forward. About the Role: As a Manager, Data Science, you will become a subject matter expert, defining projects and their execution. Leading small teams of indirect reports, you'll influence and mentor teams in best practices and methodologies. For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. Responsibilities: Leading the development of advanced AI and machine learning models to solve complex business problems Working closely with other data scientists and engineers to design, develop, and deploy AI solutions Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs Analyzing large datasets to identify patterns and trends that can inform AI development Communicating findings and insights to stakeholders in a clear and concise manner Staying current with the latest AI and machine learning trends and technologies Mentoring junior data scientists and provide guidance on AI and machine learning best practices Driving best practices across our data science functions Setting strategy and team direction, with a clear vision for Data Science Working with product leaders to apply data science solutions. Evaluating and creating new frameworks and defining methodologies and governance Leading small- to medium-sized teams (direct or indirect) Setting a high-bar for model development Requirements: Have substantial experience in a senior data scientist role Have experience in leading complex projects and customer relationships Have significant experience in managing larger Technical teams (direct or indirect) Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues Be a natural problem solver, able to take a lead in collaborating to resolve issues Have excellent communication skills and the ability to convey information clearly to senior stakeholders Highly Desired Skills and Experience: PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field 7-10+ years of experience in AI and machine learning Deep understanding of machine learning algorithms, including deep learning, gradient boosting, and random forests Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc. Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. Experience with reinforcement learning, prompt engineering, hallucination mitigation Working understanding of the business risks associated with applying LLM in a business Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark) Strong coding skills in Python or another programming language Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders Strong problem-solving skills and the ability to think outside the box Work in a way that works for you: We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees Working with Us: LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you: We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive, multi-carrier health plan benefits Disability insurance Dependent care and commuter spending accounts Life and accident insurance Retirement benefits (salary investment plan/employer stock purchase plan) Modern family benefits, including adoption and surrogacy About our Team: LexisNexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We're one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. USA Job Seekers: We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. 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Senior Director, Clinical Informatics and Health Data Sciences The Regeneron Genetics Center uses genetics and health data on millions of people to advance our understanding of human disease and guide Regeneron's therapeutic programs. You will lead our efforts to organize health information aggregated from electronic health records, surveys, digital devices, and laboratory assays from multiple collaborators. This will require supervising and mentoring a small high-performing team and working with them to develop and implement standards for health data as well as code repositories, pipelines and analysis tools that facilitate interacting with data. This will also require coordination with an extensive team of stakeholders and users of this health data. You will need expertise in organizing and structuring large and diverse datasets as well as top-notch software engineering and orchestration skills. You will be responsible for the design of data structures that store health data. You will architect the code and processes that populate, validate, and analyze these data. You will participate in downstream analysis using machine learning, genomics, and epidemiology. This will be a dynamic, challenging position with lots of work and lots of opportunities. A typical day might include: Managing priorities and schedules for your team, as your work to match their abilities and expertise with the needs and goals of the organization. You will have to prioritize among a variety of tasks - ranging from datasets that might need data curation and harmonization to potential improvements to code, processes and APIs that might improve long-term team productivity. Oversee the design and implementation of a set of interactive tools and APIs that facilitate access to health datasets, including through the calculation of basic summary statistics and informative graphics, the calculation of quality metrics and reports, and the ability for users to programmatically query and retrieve data. Identifying courses, projects and resources that facilitate the professional development and growth of your team members, with the goal of growing their knowledge of clinical informatics, computer science, data engineering, epidemiology and collaboration. Reviewing the structure, content, and quality of phenotype data extracted from electronic health records, surveys, digital devices, or laboratory assays. Each of these datasets may include data on 100,000s of people and require coordination and input from multiple stakeholders with varied expertise. Architect, develop and test the tools and code that will transform electronic health records, surveys, laboratory assays, or digital device data into a harmonized format compatible with RGC analytical tools, applications and processes. You and your team will probably be writing and updating code in Python and using associated data science libraries, such as pandas, Polars, NumPy, scikit, and others. You will be presenting results and summaries of these datasets and data processing plans to a variety of technical audiences, ranging from experts in statistics, epidemiology, genetics, and computation to experts in biology, drug design, and medicine. You will need outstanding communication skills and an ability to summarize and present to a variety of technical audiences. You will work in a highly interactive environment with a diverse team of colleagues. We highly value the ability to interact, learn, and teach so that you and other skilled individuals consistently achieve high levels of motivation, enthusiasm, and performance. This role might be for you if: An outstanding candidate will have an advanced degree in Computer Science, Health Informatics, Clinical Informatics, Biostatistics, or a related field. 10+ years of experience in organizing and processing rich datasets is expected as well as demonstrated experience in managing, growing and developing junior team members. A demonstrated knowledge of Python and key data science libraries is a must. Knowledge of R, SQL and/or C/C++ is also highly valued. If you have contributed to code in GitHub or another public repository, let us know. Have a passion for teaching others and helping your team grow. We expect our people managers to make their teams better! Understanding strategies for mapping structured and unstructured data to ontologies such as ICD-10, RxNORM and LOINC. Knowledge and experience applying best practices for data quality control, summarization and visualization. A passion for learning. We are a fast-moving team in a fast-moving company. You should expect to encounter challenging work and to learn many new skills. Ability to summarize and distil results concisely. Excellent oral presentation and writing skills. To be considered for this position you should have demonstrated experience in management of health-related data, in application design and development, and as a people manager. This position will be based in Westchester County, New York. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $238,400.00 - $397,300.00

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be a key player in using data and scientific techniques to enhance Asana's marketing effectiveness. You will work closely with marketing leadership and the wider Asana data community, unearthing new opportunities to advance our marketing capabilities and efficiency. You will lead a team of data scientists, collaborating with marketing leadership to influence overall marketing strategy. Your enthusiasm for mentoring and leading a team will be matched by your drive to solve complex technical challenges. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Propel the Marketing Data Science team in executing its roadmap aimed at enhancing marketing initiatives, including projects like Lead Scoring, Media Mix Modeling (MMM), Multi-touch Attribution (MTA), and Spend Optimization. Lead and nurture a team of over four data scientists at varying levels, guiding their professional growth and expanding the team as necessary for ongoing business success. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Take on a leadership role within the broader Asana Data Community, interacting with other Data Science teams, Data Engineering, and Analytics, along with MarketingOps and Paid Media teams that heavily rely on data outputs. Educate partners on emerging capabilities in the marketing data science space, acting as an advocate and guide to demonstrate its potential benefits. About you: Over 5 years of experience in a comparable data science role. At least 2 years of experience in managing a team of at least three data scientists. More than 4 years of experience collaborating with Marketing functions on projects like Multi-touch Attribution (MTA), Media Mix Modeling (MMM), geo-based testing, Spend Optimization, and Life-Time Value Modeling (LTV). Extensive track record in developing and implementing scalable machine learning solutions and data products that align with our business's evolving needs. Strong expertise and proven experience in orchestrating data-driven marketing strategies. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $258,000 - $328,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences. These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor's and Inc.'s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. #LI-Hybrid #LI-AS2

Department BSD NSU - Research About the Department Neurosurgeons at UChicago Medicine are devoted to patient care, research, and teaching. These experts in the Department of Neurological Surgery offer the full spectrum of neurosurgical services for children and adults with brain diseases including aggressive brain tumors, back and spine degenerative diseases, epilepsy, Parkinson's disease, and stroke. Our surgeons are truly at the forefront of neurosurgical care, utilizing the most advanced and sophisticated technologies and techniques to treat diseases of the brain and spine. Our expertise goes beyond that of delivering the best medical care; research is an integral part of our mission. With significant funding from the NIH in both bench and translational research, our staff and faculty are actively investigating complex conditions that affect the central nervous system, including cancer stem cell theory and aggressive brain cancers as well as the mechanisms behind cerebrovascular anomalies. This work serves as the groundwork for many new applications in neurosurgery, which will benefit patients for many years to come. Job Summary The job provides professional support and solves problems in collecting, organizing, and analyzing information from the University's various internal data systems as well as from external sources. The job performs data analysis assignments related to data manipulation, statistical applications, programming, analysis and modeling in order to support projects for the Department of Neurological Surgery. Responsibilities Supports trainees and interns with database handling and statistics generation in our neuro informatics laboratory. Produces quarterly outcomes reports for multiple registries using Python. Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information. Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling. Cleans, transforms, merges, and matches between large and complex research and administrative datasets. Plans own resources to collect, organize, and analyze information from the University's various internal data systems as well as from external sources. Builds and analyzes statistical models and reproducible data processing pipelines using knowledge of best practices in machine learning and statistical inference. Serves as a single point of contact for all requests and engages other IT resources to assist as needed. May partner with other campus teams to assist faculty with data science related needs. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline. Certifications: -- Preferred Qualifications Education: Advanced degree in Computer Science, Statistics, or Mathematics. Experience: Prior experience working in Neuro-Informatics at an academic medical center. Technical Skills or Knowledge: Experience developing and implementing machine learning solutions for real world use. Familiarity handling terabyte size datasets. Proficiency in Python. Preferred Competencies Ability to handle multiple tasks and assignments simultaneously. Problem-solving skills, including a strong ability to prioritize and collaborate. Excellent verbal and written communication skills. Proven ability to establish and stick to timelines. Excellent organizational skills, including strong attention to detail. Knowledge of university and research-related regulatory policies and procedures, including IRB procedures. Ability to train others. Application Documents Resume/CV (required) Cover Letter (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Research Role Impact Individual Contributor Scheduled Weekly Hours 40 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $70,000.00 - $100,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. In addition to the base pay posted above, this position may be eligible for N/A Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

About Altruist Altruist is the modern custodian built exclusively for independent financial advisors that combines a self-clearing brokerage firm with intuitive software for account opening, trading, reporting, and billing - all in one streamlined solution. Financial advisors across the U.S. have partnered with Altruist to reduce costs, save time, grow their business, and provide better outcomes for their clients. Our mission is to make financial advice better, more affordable, and accessible to everyone - but we can't do it alone. We're seeking exceptional talent to join our team. That's where you come in! If you're passionate about challenging the status quo and making a meaningful impact in the financial advice industry, we'd love to meet you! But first, our values Kindness- Kindness doesn't just equal niceness. We listen to understand. We embrace, and encourage healthy debate and diverse perspectives. We approach conflict openly, honestly, and respectfully. Brilliance- Humility is the skill we're most proud of and possessing a growth mindset is always top of mind. We take ownership in everything we touch; regularly using our unique superpowers to reach a common goal as a team. We succeed and fail as one. Grit- When challenges arise, we stay laser focused on achieving our mission and finding a way forward, even when it's hard. We are nimble and maintain a sense of urgency, swiftly adapting to change and overcoming obstacles. The opportunity We're seeking a Director of Data Science to help us predict and plan for the future of Altruist's business. In this role, you'll build and own the predictive infrastructure that supports strategic decision-making across the company. You'll collaborate with leaders in Finance, Product, Operations, and Sales to develop scalable models for revenue, customer behavior, and operational performance. This is a hands-on, high-impact role where your models will directly inform planning, budgeting, staffing, and long-term strategy. Your impact Manage a growing team of data analysts and data scientists responsible for build, deploying, and maintaining robust forecasting models (e.g., time series, hierarchical models, causal forecasting) across key business areas such as revenue, AUM growth, customer acquisition, and support volumes. Partner with Finance and Strategy teams to deliver forecasts that support executive decision-making and scenario planning. Develop methodologies for forecasting uncertainty, seasonality, and business-specific dynamics. Create reusable forecasting frameworks and tools to be shared across departments. Communicate forecasts, assumptions, and risks clearly to stakeholders-including executives-with visually compelling outputs. Continuously monitor model performance and refine approaches based on real-world outcomes. Contribute to the broader data science roadmap and mentor teammates in data science best practices. What you bring Experience- 5 years of experience working as Data Scientist with at least 2 years managing a high performing data science team with a focus on forecasting, statistical modeling, or time series analysis. Deep knowledge of forecasting techniques: ARIMA, exponential smoothing, Prophet, Bayesian models, machine learning-based approaches, etc. Familiarity with cloud data platforms (e.g., Snowflake) and workflow tools (e.g., Airflow, dbt). Education- Ideally looking for an advanced degree (Masters or PhD) in a data-driven field (Math, Statistics, Computer Science, Physics, etc). Technical aptitude- You're technologically savvy and can easily get up to speed on modern tech stacks (Strong Python and SQL skills; experience with packages like statsmodels, scikit-learn, pmdarima, or prophet.) Ownership- The pride you put into every aspect of your work is unparalleled and undeniable Superb communication- Intentional dialogue is a superpower. You listen as well as you share your perspective with others. Resilience- We're inspired by your unwavering determination to achieve success, no matter the adversity you face along the way. Assurance- Your confidence is brilliant, yet ego-less. You possess a strong knowledge base, the ability to discover the unknown, and are open to differing perspectives. Creative problem solving- Identifying the problem is simply not enough. You're instinctually creative with your approach in finding solutions to roadblocks. Bonus points if you bring Experience with scenario modeling, Monte Carlo simulations, or optimization under uncertainty. Previous work at a financial custodian, familiar with the brokerage business and it's data Exposure to BI tools like Tableau for visualizing forecasts San Francisco, CA salary range $226,000-$283,000 USD What we bring Attracting and retaining top-tier talent is a priority. We are proud of the culture we've built and are cognizant of the ever-changing professional landscape. Our dynamic offering of perks and benefits are tailored for you to feel your best while doing your best. A hybrid work schedule for most positions to promote strong, in-person collaboration and a healthy work-life-balance. Stunning, amenity-filled office spaces in Culver City, CA, San Francisco, CA, and Dallas, TX. Our offices are intentionally designed for comfort, collaboration, and productivity. Competitive pay, as well as equity for eligible positions Premium healthcare, dental, and vision insurance plans 401k savings plan with matching contributions and immediate vesting Generous paid parental leave Professional growth and development opportunities including an employee mobility program and an annual L&D budget allocation for each employee Physical and emotional wellness programs that nurture both your mind and body Company perks program (includes discounts on pet insurance, fitness, cell phone plans, entertainment and travel, etc.) Financial guidance program (includes counseling on navigating debt, tracking personal spend, saving and planning goals, home-purchasing preparedness, etc.) Total compensation includes a competitive benefits package along with equity in the form of Stock Options (ISOs) for eligible roles. For salaried positions, a salary offer will be determined by a number of factors including experience, skill level, internal pay equity, geographic location, and other relevant business considerations. We review all employee pay and compensation programs regularly to ensure fair, equitable, and competitive pay. At Altruist, we are committed to providing fair, equitable, and competitive compensation by leveraging market data to inform our pay bands. Base salaries will be reviewed at regular intervals throughout the year, typically in conjunction with performance review cycles. By evaluating compensation on a regular basis, we are able to reward high performance and ensure all employees have opportunities for growth. Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Altruist we are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this role, but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Department BSD CTD - Gen3 SPM About the Department The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ , https://gen3.org/ , https://stats.gen3.org/ , and https://ctds.uchicago.edu/ . Job Summary The Assistant Director of Data Science is part of our leadership team. In this role, you will be responsible for overseeing the development and implementation of various data science initiatives, including those involving data meshes. You will work closely with cross-functional teams to ensure data-driven decision-making and drive innovative solutions. The ideal candidate will have a strong background in data engineering, data science, and a passion for emerging technologies. This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance. Responsibilities Lead data science projects and initiatives, providing strategic direction and technical guidance, including those involving data meshes. Oversee the development and implementation of data commons and data meshes to ensure efficient and scalable data management, data analysis, data sharing, interoperability, and cost optimization. Collaborate with cross-functional teams, including data engineers, data scientists, product managers, and business stakeholders, to identify and prioritize requirements and opportunities for data commons and data meshes. Develop and maintain data architectures and frameworks that support data discovery, accessibility, and usability. Coordinate with cross functional teams to ensure appropriate security, compliance and governance with relevant regulations and standards. Foster a culture of data-driven decision-making and promote the use of machine learning and AI methodologies. Mentor and develop a team of data professionals, providing training, support, and career development opportunities. Stay current with industry trends, emerging technologies, and best practices in data science. Manage project timelines, budgets, and resources to ensure successful delivery of data initiatives. Communicate project progress, results, and insights to stakeholders at all levels of the organization. Provides specialized professional expertise in program management. Implements plans for educational programs and initiatives and acts as a liaison between the program and program participants. Plans and develops program objectives and/or content. Researches and identifies trends and needs and establishes program directions accordingly. Serves as a key resource for program information. Resolves problems or questions referred by program staff, University administrators, or other contingencies. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline. Certifications: -- Preferred Qualifications Education: Master's degree in data science, computer science, engineering, or a related field. Experience: 7-10 years of experience in data engineering, data science, or a related field. Proven experience in designing, developing, and implementing data architectures, data meshes, and data standards. Hands-on experience with data science tools and technologies, such as Python, R, SQL, Hadoop, Spark, TensorFlow, etc. Strong experience with data governance, data quality, and regulatory compliance. Demonstrated experience in managing and mentoring a team of data professionals. Proven track record of successfully delivering complex data projects on time and within budget. Experience in working with cross-functional teams and communicating technical concepts to non-technical audiences. Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline. Preferred Competencies Advanced knowledge of data engineering and data science principles, practices, and tools. Strong understanding of data meshes and their implementation in large-scale organizations. Excellent problem-solving skills and the ability to think critically and strategically. Strong leadership and team management skills, with the ability to mentor and develop team members. Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to diverse audiences. Ability to manage multiple projects simultaneously and prioritize tasks effectively. Strong analytical skills and the ability to translate data insights into actionable recommendations. Proficiency in programming languages and data manipulation tools, such as Python, R, SQL, etc. Knowledge of machine learning techniques and frameworks, such as TensorFlow, PyTorch, etc. Strong understanding of data privacy, security, and regulatory requirements. Working Conditions Hybrid with 1-2 days/week in the office (fully remote optional, but not preferred). Application Documents Resume (required) Cover Letter (preferred) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Administration & Management Role Impact Individual Contributor Scheduled Weekly Hours 40 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $120,000.00 - $170,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

About the Business LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com About the Role We are seeking a highly experienced and strategic leader to join our Data Science Team as the Head of Governance and Responsible AI. In this role, you will lead a team responsible for overseeing the development, implementation, enhancement, and governance of models used for a variety of financial services products and services, but primarily credit risk assessment, fraud analytics, and financial crime compliance applications. You will ensure that our models are robust, compliant with regulatory requirements, and aligned with the company's risk management framework, including model certification. You will also be responsible for customer engagement on governance and Responsible AI topics. This position reports to Global Head of Data Science. Candidate can be hybrid from one of our offices or remote in the US. Responsibilities Lead the Governance function and Responsible AI functions and team, including the development and implementation of model risk policies and procedures. Enhance these functions. Oversee the validation, monitoring, and performance assessment of credit risk and fraud detection models. Ensure compliance with regulatory requirements and internal risk management standards. and the RELX Responsible AI Principles. Collaborate with cross-functional teams, including data science, product, market planning, technology and legal and compliance. Be the first reviewer voice prior to formal legal and compliance review. Provide strategic direction and guidance on model development, validation, and risk mitigation across the product workflow from ideation, operationalization, build, validation, and GTM delivery. Develop and maintain a comprehensive model inventory and documentation. Conduct quarterly reviews and audits of models to identify and address potential risks. Lead a team of model risk management professionals, providing mentorship and development opportunities. Stay current with industry trends, regulatory changes, and best practices in model risk management. Requirements Awareness of data science methods and techniques, though not necessarily in expert in their use. Extensive experience in model risk management, particularly in the areas of credit risk and fraud detection. Strong knowledge of regulatory requirements and industry standards related to model risk management, especially FCRA, ECOA, GLB, EU-AI Act, GDPR. Ability to scale up to support other global regulations Proven track record of leading and managing high-performing teams. Excellent problem-solving, and decision-making skills. Strong communication and interpersonal skills, with the ability to collaborate effectively with internal/external stakeholders including customers and regulators at all levels. Preferred Qualifications: Experience in the financial services industry, particularly in credit risk and fraud detection. Experience working with data scientists, customers and regulators Knowledge of machine learning and advanced analytics techniques. Certification in model risk management or related areas. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice Position is eligible for base salary and an annual bonus. Anticipated posting close date 06/01/2025 The salary range provided in this posting is the base salary range for Minnesota, Hawaii, and Colorado: $153,600 - 285,200 USD The salary range provided in this posting is the base salary range for Illinois, Maryland and Washington: $161,200 - 299,500 USD The salary range provided in this posting is the base salary range for California and Washington DC: $176,600 - 327,900 USD The salary range provided in this posting is the base salary range for New York and New Jersey: $168,900 - 313,700 USD The salary range provided in this posting is the base salary range for Minnesota:$153,600.00 - $285,200.00 We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. USA Job Seekers: We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. EEO Know Your Rights.