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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

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.

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.

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

Title: Data Science and Analytics Location: New York City Duration: 3 months to perm Responsibilities: •Deliver Data-driven, actionable insights •Analyze on-site customer journeys under an optimization-focused lens •Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis •Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role •Develop an intimate understanding of our clients business and their customers, and pro-actively identify ways to help our clients achieve their goals •Work closely with account teams to identify opportunities, participate in sales pitches and strengthen leadership position in digital transformation •Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking Experience Guidelines: •3-6 years of experience with a focus in Site Analytics and Optimization or related fields. •Bachelor’s degree, in Marketing, Business, Engineering or a related field. •Passion for digital analytics, working with data and deriving insights to answer client business questions •Experience leading and delivering analytics engagements • Strong knowledge of the digital space and digital analytics •Strong communication and client service skills •Strong organizational skills and attention to detail •Strong consultative skills and the ability to challenge status quo and gain adoption •Comfort with working in and contributing to a fast-paced, team based environment •Management or mentorship experience - providing training, project support, career advice and delegated responsibilities •Proficiency in Adobe Analytics and other Adobe Marketing Cloud products, specifically Test and Target •Proven ability to influence stakeholder and senior leaders, and manage organizational change •Recruit and Manage team of ‘rock-star’ analysts •Build a customer obsessed culture and grow our business

About Attain Built for consumers and companies, alike. In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising. At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You’ll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday. About the role Attain is seeking a Director of Consumer Data Science to support the growing needs of our suite of consumer mobile applications. You’ll own the application, maintenance, and evolution of advanced machine learning techniques to the cash-flow-based credit decisioning model that powers our earned wage advance product, Klover. You'll have boundless other opportunities to apply data science to improve business outcomes across our app portfolio: transaction categorization, paycheck detection, fraud scoring, churn prediction, and more. What a typical week might look like Hands-on contribution to the development of our the ML models at the core of our EWA product, driving for speedy and outstanding execution Lead by example and define best practices for robust and efficient machine learning service development that includes data processing, feature engineering, model development, model deployment, and in-production support, etc. Collaborate with a cross functional team of data analysts, engineers, product managers and business stakeholders to cost-effectively deliver advanced ML models with quality, efficiency and precision Identify new areas to apply data science models and algorithms to optimize the business Drive the consumer data science roadmap and priorities Preferred Qualifications  5+ years direct experience working as a Data Scientist on relevant business problems Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree in a quantitative field (PhD preferred)  Strong expertise in developing and deploying machine learning models (especially credit decision models) in production Solid understanding of the underlying mathematical foundation of machine learning models Proficiency in Python Experience with cloud computing services or platform (GCP preferred) Strong SQL skills Familiarity with version control and peer code review systems Demonstrated ability to learn and embrace new technologies, applications, and approaches Willingness to roll up your sleeves and wear multiple hats across the data science team, based on the needs of the business Strong written and verbal communication skills and the ability to explain technical topics to both technical and non-technical audiences We’re excited to hear from you.  At Attain, we are passionate about finding people to continuously help us grow our organization. We encourage you to apply, even if your experience doesn’t match every detail of the job description. If we don’t see something that immediately fits, we will keep your resume on file for future opportunities.

Ekimetrics is a leader in data science and AI solutions provider. Since 2006, we have been using data science to optimize marketing and business performance and the transition to more sustainable performance. If you are driven by the desire to "crack" the most complex business questions using data and AI, and you want to be an actor in your professional future, your place is surely at Ekimetrics! At Ekimetrics, we aim to help our clients rethink their business model by reconciling economic, environmental and social performance, thanks to data science. In our New York office, we focus primarily on Marketing Analytics and the deployment of our ‘MMO’ offer (Marketing Mix Optimization), leveraging both our analytics-as-a-service expertise and our own data and AI platforms. Our 400 experts with varied profiles (business, data, technology) and the use of our technological assets guarantee fluidity between strategy and execution. The result is faster delivery times and a tangible business impact. 📊Key figures about Ekimetrics · 400+ data science experts globally · 1000+ diverse projects & 350+ clients · 4 offices: Paris, Hong Kong, London and NY · UK data company of the year 2023 · Voted Great Place to Work 2023 · Microsoft’s sustainability partner · Voted as a leader in “Marketing Measurement & Optimization” by Forrester wave 2023 About the internship: As an intern, you will work alongside Eki consultants on challenging projects with international blue-chip clients across diverse industries during the program. As both a data scientist and consultant, you will use and develop advanced data analytics and consulting skills on your projects. From day one, you will join a team of three to six consultants and collaborate on client and R&D projects simultaneously. From discovery meetings to final recommendations, responsibilities include: - gathering and analyzing data, - building statistical models, - translating quantitative insights into strategic recommendations and delivering the final results. The projects will push you to create innovative approaches and to take ownership. You’ll present your results directly to C-suite clients and business executives. Our close-knit team will guide your growth to build expertise on best-practice methodologies and industry knowledge, working directly with Ekimetrics partners. Each member of our team takes a vested interest in the development of your technical skills and business acumen. Our team members continuously learn and grow through 70+ proprietary training sessions and collaboration with colleagues as coaches and mentors. Finally, the opportunity to work for a growing, international pioneer in data science, will empower you to have an immediate impact by contributing to our passionate team. Job Responsibilities: 1. Data Analysis and Model Construction - Utilize advanced statistical techniques and best data practices to help the team progress through project work - Develop a logical story combining data and industry knowledge to share actionable insights that will drive our clients' businesses 2. Strategic Partnerships with Clients - Liaise with clients to develop a deep understanding of their business context and experience - Deliver findings and battle plans with excellence and confidence - Provide ad-hoc analyses that further develop projects and client relationships by parameterizing the business questions 3. Ekimetrics Research and Development - Support our fast growth by contributing to the development of new methodologies and offers Qualifications: We are looking for a talented, dual-profile consultant. 1. Data Skills - Bachelor’s or Master’s degree (or equivalent) in Data Science, Business Analytics, Statistics, Economics, Engineering or a related analytical field. Outstanding record of academic achievement. - 0-2 years of experience in Data Analysis / Modeling / Advanced Analytics - Passion for data, extensive knowledge in statistics or applied mathematics - Experience using advanced analytical methodologies to answer questions - Experience with statistical software such as Python (preferred) or R 2. Consulting Skills - Consulting experience or interest in working as a consultant - Strong interest in marketing & business issues - Exceptional written and oral communication skills - Ability to work collaboratively in a team setting - Self-driven and motivated to thrive in a fast-pace environment - Continuously striving for high performance - Good sense of humor! 3. Additional Requirements: - Must be at least 18 years old - Must be eligible to work in the U.S. without sponsorship - Must be able to work on-site in New York, NY What we offer: - Competitive compensation package of $2,800/mo in a management consultancy business - An emphasis on work-life-balance - Dynamic environment with a strong culture and great offices - Close-knit team with friendly environment, bi-monthly team events and more - Creative and entrepreneurial start-up environment with vertical mobility - Best-in-class methodologies and cutting edge technologies - Unique training package with 70+ sessions - Growth to develop a double profile in data science and strategic consulting - Client exposure up to the executive level Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law.

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

Who is Nexxen? Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform ("DSP") and supply-side platform ("SSP"), with the Nexxen Data Platform at its core. With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Why join the Nexxen team? With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way - the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. Nexxen is seeking a Senior Product Manager with deep experience in managing complex, technical product features-especially those powered by AI and machine learning (ML)-within our Supply Side Platform (SSP). You will be at the forefront of driving innovation by identifying high-impact problems where AI/ML technologies can unlock revenue potential, increase operational efficiency, and deliver intelligent automation. As a Senior Product Manager, you will lead initiatives across the full AI product lifecycle-from opportunity identification and model integration to performance evaluation and continuous improvement. You will work closely with engineering, data science, and business stakeholders to define, deliver, and iterate on AI-powered capabilities that scale and differentiate our platform. This role will be based in the Bellevue office. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest. Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are: What you'll do: Deeply understand the needs of our business and customers to define resilient, intelligent, and scalable product solutions Champion the discovery, definition, and prioritization of AI and ML features that enable better yield optimization, traffic prediction, and fraud detection Collaborate closely with engineering and data science teams to evaluate the feasibility and impact of machine learning approaches Define product requirements, success metrics, and milestones specifically tailored for AI-powered features Work with ML teams to operationalize models, including A/B testing frameworks, model retraining pipelines, and feedback loops Identify and quantify long-term opportunities for machine learning and AI technologies to differentiate our SSP in the market Ensure AI/ML models are explainable, ethical, and aligned with customer and business needs Drive alignment across executive stakeholders by clearly communicating technical concepts and business value Partner with data engineering and DevOps to ensure data quality, monitoring, and deployment pipelines support high-performing AI systems What You'll Bring: 5+ years of technical product management experience, including direct ownership of AI/ML product features Experience with ad tech platforms, ideally with exposure to SSPs, RTB protocols, and programmatic media Deep understanding of machine learning lifecycle: data collection, feature engineering, model training, deployment, monitoring Demonstrated experience working with data science and ML engineering teams in a cross-functional agile environment Bachelor's degree in Computer Science, Engineering, or a related technical field; an advanced degree or MBA is a plus Knowledge of common ML frameworks (e.g., TensorFlow, PyTorch, XGBoost) and data platforms (e.g., Snowflake, Spark, Airflow) An analytical mindset with the ability to translate business problems into technical solutions Strong leadership and communication skills with a track record of influencing cross-functional teams and executive stakeholders Experience driving data-informed decisions through metrics, experimentation, and customer feedback Bonus Points: Prior experience in building AI-powered features such as traffic forecasting, content classification, anomaly detection, or recommendation systems Familiarity with real-time data processing pipelines and MLOps best practices Experience navigating the ethical and regulatory implications of deploying AI at scale At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don't match this job description perfectly, don't worry! We would rather see your application than risk missing out on your potential to make an impact. In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $210,000 at the time of posting, with the potential of an incentive or bonus. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. #LI-KN1 #LI-Hybrid

Clio is more than just a tech company-we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Summary: Imagine being the Director, Data Science at Clio, the legal software company that is on a mission to revolutionize the legal experience for everyone. Reporting to Senior Director, Head of Data & Analytics, you will be responsible to build predictive and prescriptive solutions to enhance Clio's operations in marketing, sales, post-sales, and product development. In this role, you will partner with senior business leaders across go-to-market and product teams to identify opportunities for predictive and prescriptive data-driven solutions. You will lead development of advanced analytics and machine learning solutions for revenue forecasting, churn and cross-sell propensity modeling, pricing optimization, sentiment analysis, to name a few, and establish best practices for building modular reusable assets, to enable timely, robust, and rigorous analyses. You will mentor data science teams and collaborate with cross-functional stakeholders to deploy these solutions in practice and achieve the business impact. Your mission is to build the centre of excellence for data science, and to partner with senior leaders across Clio to make reliable, timely, and effective data-driven decisions! What you'll work on: Define and implement Clio's data science strategy that aligns with Clio's business objectives, including revenue growth, customer retention, and operational efficiency Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+) Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting About you: Graduate degree in Computer Science, Engineering, Statistics or a related field. 10+ years extensive experience building and scaling a data science function in a high-growth environment 10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports 15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning Experience reporting and presenting to senior business stakeholders Experience leading go-to-market initiatives and partnering with product development teams Experience with putting data science solutions in production and maintaining them Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences Bonus points for: High level of business acumen obtained through professional experience or certification MBA, CFA, PMM Experience in SaaS or legal industry Experience with unstructured data and graph data structures What you will find here: Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Some highlights of our Total Rewards program include: Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days. Flexible time off policy, with an encouraged 20 days off per year. EAP benefits for you and household members, including counseling and online resources 401k matching and Child Education Savings Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The full salary range* for this role is $240,700 to $300,800 to $360,900 USD. Please note there is a separate band for those in the San Francisco / Bay Area. For those outside the United States, there are a separate set of salary bands for other regions.. In addition, this role is eligible for variable pay that is based on company performance, with actual payout amounts calculated and paid on a quarterly basis. We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Learn more about our culture at clio.com/careers

ROLE SUMMARY Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, GCAs rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including market research, data science, digital analytics, finance, and consulting. As a team, we partner to turn data into meaningful insights that will have a direct impact on patient's lives and the future of Pfizer as a data-driven organization. The Director (T/L), Data Science is accountable for delivering data science driven strategic and tactical support for multiple brands. As a strategic partner to the US Commercial team, this person will develop and implement models and data-science derived insights that drive brands' strategic priorities. This will include driving the execution and interpretation AI/ML models, framing problems, and shaping solutions. Also, this person will help shape the brands' strategies and tactics by interfacing closely with Data Science Solutions team to develop bespoke AI/ML models to meet evolving needs and will also interface closely with sales-operations to drive execution. This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. ROLE RESPONSIBILITIES Role definition and key accountabilities include, but are not limited to: Commercial Data Science and Insights Provide data science and insights to US Commercial teams to drive brand tactic decisions Act as strategic partner to frame, investigate, translate complex data related models, and answer key business questions related to the identification and evaluation of Commercial brand strategies and tactics Lead a team of Data Scientists and manage their career development. Connect machine learning models and insights together to identify Commercial brand opportunities and tactics to execute Guide stakeholders via compelling and persuasive story Strengthen the Brand and Sales teams understanding of marketplace performance and opportunities by analyzing impacts of brand strategies and tactics and partnering on data product solutions. Collaboration with other GCA and Analytics teams Partner with GCA IIS leads to incorporate data science capabilities and insights into analytics plans and recommendations Ensure alignment across GCA Data Science teams and Data Science Solutions teams to ensure cohesive activities with our stakeholders Partner with other analytic functions to advance the use of novel data sources, including RWD PROFESSIONAL CHARACTERISTICS Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how GCA can provide value to the organization People's Manager: Manage a team of individuals and guide them on data science problem solving and story telling. Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork Project Manager: Articulates scope and deliverables of projects and delivers analyses within timelines Self-Starter: Eager to take on new responsibilities and opportunities Technical Skills Fluent in English (written and spoken) Strong MS Excel and PowerPoint skills Experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques Experience in understanding brand content, strategy, and tactics Ability to effectively utilize dashboards and data products to derive insights Understands quantitative and qualitative research methodologies Experience in management of secondary data with application of real-world data Ability to partner with cross-functional teams (Commercial, Sales, Operations) to execute brand tactics Ability to connect, integrate and synthesize analysis and data into a meaningful 'so what' to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question Education and Experience Bachelor's degree required, ideally in quantitative discipline like engineering or data science Or PhD Degree in a relevant field with good publication/research record and 5+ years of work experience 10+ years of work experience 7+ years experience in business analytics function, country strategy and/or strategic consulting Experience using data science models to solve problems in a business environment setting Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Other Job Details: Work location: Flexible; 2-3 days onsite/week Last Day to Apply: June 16, 2025 The annual base salary for this position ranges from $169,700.00 to $282,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Marketing and Market Research

About Us DELFI Diagnostics, Inc. (DELFI Diagnostics) is developing next-generation, blood-based tests that are reliable, accessible and deliver a new way to help detect cancer. Employing advanced machine-learning methods to whole-genome sequencing data, the DELFI ("DNA EvaLuation of Fragments for early Interception") platform is built to address the highest-burden health challenges. DELFI Diagnostics prioritizes solutions that have the potential to save lives on a global scale, including for historically underserved populations. DELFI Diagnostics’ platform relies on fragmentomics – the discovery that cancer cells are more chaotic than normal cells and, when they die, leave behind tell-tale patterns and characteristics of cell-free DNA (cfDNA) fragments. FirstLook Lung, for individuals eligible for lung cancer screening, is DELFI Diagnostics’ first laboratory-developed screening test and can be part of routine blood work. FirstLook Lung uses millions of data points to reliably identify individuals who may have cancer detected through low-dose CT, including early stage disease with a negative predictive value of 99.8 percent. This test has not been cleared or approved by the FDA. In our passionate pursuit to radically improve health outcomes, we serve humanity when we: Lead with Science, Anchor in Pragmatism : We pioneer life-changing science by ensuring quality, transparency, and rigor at all times. We explore thoughtfully, experiment smartly, and deliver impact with conviction. Build With & For All : We embrace diverse backgrounds to innovate and achieve together. We are not just building a product - we aim to disrupt the path of cancer for all - no matter geography or socioeconomic class Put We over I : We are a home for high-performing people. Through teamwork, we build collective intelligence. Each of us wins when those we serve and those who serve with us--win. We show up with empathy, humility, and integrity at every step of the journey. DELFI has 1-2 designated in-office working days each week for employees who live within within 50 miles of Palo Alto CA or Baltimore MD offices The head of Data Science is an accomplished computational biologist who works at the interface of cancer biology, genetics, genomics, and machine learning, and manages a team of data scientists, computational biologists, and ML scientists. This role will collaborate closely with teams in bioinformatics/software pipeline development, assay, and biostatistics to develop cutting-edge algorithms to detect cancer from blood samples. Reporting to the CTO, you will work closely with commercial, clinical and laboratory leadership to understand the indications and requirements of diagnostic algorithms, and to deliver these. You will also continue to develop the state of the art in machine learning, as described below. This position requires expertise in computational science, cancer biology, team leadership, and strong communication skills. This role is an excellent fit for those who are decisive, proactive and bring a balance of high IQ and EQ. What You'll Do Manage and lead a cross-functional team of data scientists, computational biologists, and bioinformatics engineers Oversee the development and delivery of cutting-edge machine learning algorithms to detect cancer from blood samples Collaborate with peers leading assay design & development, laboratory operations, and clinical development to substantively advance DELFIs R&D objectives Partner with IT & cybersecurity team lead to develop a 2-3 year technology roadmap, including in-house tooling for GenAI and ML infrastructure Represent DELFI externally at national and international conferences, and in strategic meetings with academic partners and governmental / regulatory bodies What You'll Bring to DELFI Required PhD (or MS and equivalent experience) in Computer Science, Computational Biology / Bioinformatics, Applied Mathematics, Statistics, Physics, or EE 10-15 years’ experience with a wide variety of classical and modern methods used in machine learning and AI (unsupervised, semi-supervised, or supervised learning) as evidenced by strong publication record and/or algorithms released into production 3+ years expertise in developing transformer models, neural networks, and/or representation learning as applied to biological problems 5+ years expertise programming in Python/R including modern ML frameworks (Tensorflow, Pytorch, or Jax), production compute environments (AWS/Nvidia), and versioning principles for reproducible model-building and evaluation 10+ years of experience leading and managing teams exemplifying best practice in recruiting, team-building, employee performance management and career development, goal-setting, and cross-functional collaboration Superb written, verbal communication, and influencing and presentation skills, including the ability to communicate complex concepts succinctly to a variety of audiences Decisive, intellectually curious, proactive, and composed with a balance of high IQ and EQ Preferred 3+ years of experience working in biotech/pharma/diagnostics Expertise in explainable models, interpretability/white-box models, and federated learning Background or interest in cancer genomics, molecular biology, and the latest genotyping and phenotyping techniques Total Compensation at DELFI is a combination of salary, bonus, equity, and benefits. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years & depth of experience, certifications & relevant education, geography. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This position is not eligible for agency partnership. Resumes and outreach from staffing representatives will be declined.

Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking a Data Science Manager who will be responsible for managing the development of predictive statistical models using both data from Govini’s National Security Knowledge Graph and data provided by our Government customers. These models will include general statistical models, simulation models, and machine learning implementations. You will be responsible for the management of a team of existing data scientists as well as growing this team. You will collaborate with Product, Sales, and Engineering in a cross-functional capacity to deliver high-quality, decision-grade data and analytics to our National Security customers. You will work with our customers directly to better understand their key challenges. You thrive under pressure and are eager to solve new challenges. You are passionate about recruiting and developing top data science talent. You are a technology and data nerd who strives to always deliver the best product to our customers. In order to do this job well, you will push the boundaries of data science and always look for new ways to leverage models to drive new insights and customer value. You won’t hesitate to identify problems and take the lead in finding the answers. You are a self-starter who leads by example. You are a creative, out-of-the box thinker who shares our passion and obsession with problem-solving. As part of our team, you must have a strong understanding of the various fundamentals of data science and analysis, including machine learning. You excel at translating business problems into data science problems and bringing data to life. This role is a full-time position located out of our office in our Pittsburgh, PA office. This role may require up to 50% travel. Scope of Responsibilities Manage the teams of data scientists to execute predictive indicator development and configuration Partner with external client teams to understand their business problems and work with them to create data-driven solutions, to be hosted on the Govini Defense Software Application, Ark.ai Understand our data assets on a detailed level and train others; you are the data subject matter expert Constantly seek out new tools to deliver scope faster with higher quality Become an expert in the National Security domain, and speak from a position of authority to internal and external customers as it pertains to leveraging Govini data and analytics Hire the best talent and continuously train, coach, and mentor your team members to grow and perform at their highest level Apply advanced statistical, AI/ML, and predictive modeling techniques to build, maintain, and improve on indicators and models to help customers proactively manage risks and identify opportunities Constantly innovate and never settle for the status quo Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers Qualifications U.S. Citizenship is required Required Skills: Master's degree in Statistics, Computer Science, or a related technical field Minimum of 5 years of direct, hands-on data science work including machine learning model development, statistical analysis, indicator development, and related programming languages such as Python and R Minimum 2 years of people management, specifically running data science, software/data engineering, or other technical teams Experience in a customer-facing data science role as an individual contributor or manager SQL mastery Experience with Git source control management Experience developing and deploying business intelligence (BI) tools and insights to both internal and external customers Understanding and appreciation of the product management discipline; ideally you have worked within a product organization in your past experience Strong communication skills, across all levels of the organization Experience with developing and maintaining Data Science solutions in AWS environments A burning desire to work in a challenging, fast-paced environment and grow professionally Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience and interest in National Security Experience working on agile/scrum teams Experience with major NLP frameworks Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data Science is at the heart of Lyft's products and decision-making. As a member of the Rider & Safety team, you will work in a dynamic environment, where we embrace moving quickly to build the world's best transportation. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building algorithms that power our internal and external products. We're looking for passionate, driven Data Scientists and managers to take on some of the most interesting and impactful problems in ridesharing. We're seeking a highly analytical and product-focused leader with strong business intuition, technical expertise, and a collaborative mindset. The ideal candidate is deeply curious, comfortable navigating ambiguity, and passionate about leveraging data to drive product strategy and business outcomes. As the data science manager, you'll help develop the vision, set roadmaps, and lead execution for projects in Rider New Product & Partnerships. These pods are responsible for some of the key strategic initiatives in Rider, with frequent exposure to the company's senior leadership team. You will be reporting to the Senior Data Science Manager leading Lyft's Rider & Safety Data Science & Analytics team. Responsibilities: Lead and grow a high-performing team of data scientists with various backgrounds including analytics, experimentation, machine learning, and causal inference. Lead and coach the team to investigate complex problems and identify key drivers of product performance and customer behavior Be a thought leader and go-to expert for goals, strategy, and long-term vision Develop clear, insight-driven narratives about our users, translating findings into actionable recommendations Influence product roadmaps by forming data-backed perspectives and guiding prioritization decisions Operate effectively at both the strategic and tactical levels, including regular engagement with senior leadership Facilitate and foster a data-driven culture and informed decision making and prioritization Design and implement data frameworks to evaluate and prioritize high-impact product initiatives Experience: Advanced degree in a quantitative field like computer science, statistics, economics, operations research, or engineering; or relevant work experience 6+ years of hands-on technical experience in machine learning, causal inference, or data science 4+ years of management experience building and leading data science teams Strong track record of using machine learning and data science to improve business outcomes Strong track record of guiding teams through unstructured technical problems to deliver business impact Skilled at managing cross-functional relationships and communicating with leadership across multiple teams Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Lyft Pink- Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule- Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace Your role at Clorox: As Data Science Manager, you would have the opportunity to apply data science techniques across our portfolio of brands to create novel tools and analyses, pushing the boundaries of marketing analytics within the company This role is responsible for building data products and translating data into clear and compelling insights ensuring proper activation that leads to business results. You will work closely with other data scientists, engineers and partners across Marketing, Sales and R&D to derive insights from diverse data sources, help the business make data-driven decisions and apply cutting edge data science techniques. The ideal candidate would be passionate about data science and product analytics with business facing experience. In this role, you will: As Data Science Manager, you would have the opportunity to apply data science techniques across our portfolio of brands to create novel tools and analyses, pushing the boundaries of marketing analytics within the company This role is responsible for building data products and translating data into clear and compelling insights ensuring proper activation that leads to business results. You will work closely with other data scientists, engineers and partners across Marketing, Sales and R&D to derive insights from diverse data sources, help the business make data-driven decisions and apply cutting edge data science techniques. The ideal candidate would be passionate about data science and product analytics with business facing experience. What we look for: Key Responsibilities Develop and deploy end-to-end AI/ML/Gen AI models, focusing on marketing, measurement, and predictive analytics. Explore and implement GenAI solutions (e.g., LLMs, embeddings, RAG pipelines) for use cases like personalized marketing, customer insights, or content generation. Scope and define data science projects, set clear deliverables, and collaborate with stakeholders to develop and deploy impactful models. Maintain code repositories in GitHub, ensuring version control and collaborative development with other members of the team Collaborate closely with data engineers to ensure data quality, feature engineering, and the development of efficient data pipelines. Act as a strategic partner to business stakeholders, helping them frame problems in a data-driven way and translating business goals into analytical solutions. Lead discovery sessions with marketing, product, and leadership teams to understand pain points and identify opportunities where data science can create value. Present analytical findings and model results through compelling storytelling, using visualizations and business context to drive alignment and decision-making. Education & Experience Bachelor's degree or higher in data science, math, statistics, computer science or other relevant quantitative fields. MS strongly preferred. 5-+ years of relevant business experience with bachelor's, or 3+ years with masters degree Highly collaborative and able to communicate effectively with non-technical audiences. Business partner facing experience is preferred. Technical Skills Proficient in Python, SQL, and other open-source tools, including Generative AI frameworks and other relevant technologies. Experience in predictive modeling, machine learning, and Generative AI tools, with the ability to develop production-ready AI/ML models. Comfortable working with unstructured and messy data, including data exploration, cleaning, and transformation to extract meaningful insights. Experience with cloud-based data tools like BigQuery, Azure Synapse and GCS is a plus Experience with Docker, Cloud deployments and product building is a plus Other Skills Self-starter who can think creatively and look for/develop elegant and viable solves for real world problems. Skilled at producing actionable and compelling recommendations driven by complex data. Strong leadership and communication skills Excellent time and project management skills with the ability to work efficiently under tight deadlines. Strong interpersonal and relationship building skills. Strong Business acumen. Consumer goods (CPG/FMCG) experience preferred. Comfortable in a dynamic environment and able to identify needs, develop a plan of action and implement. Workplace type: This role will be open to candidate location with a preference in being located out of a Clorox Hub. This will abide by the Hybrid 2.0 policy, 3x per week in office if within a 50 mile radius. We seek out and celebrate diverse backgrounds and experiences. We're looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning. At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here. [U.S.]Additional Information: At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $124,300 - $244,900 -Zone B: $114,700 - $224,500 -Zone C: $103,600 - $204,100 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes.

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Scientist II, Life Sciences Research will execute research projects for early stage biopharmaceutical partners. This role involves performing complex computational analyses, and providing interpreted insights to guide decision-making for biopharma clients. The ideal candidate will possess strong genomic analytical skills and the ability to communicate complex scientific findings to various stakeholders. Key Responsibilities: Independent Contribution: Independently execute complex translational research projects integrating molecular and clinical data from Tempus multimodal data platform to derive real-world insights for biopharma partners Scientific Communication: Present scientific findings clearly and meaningfully to diverse sets of external stakeholders Continuous Improvement: Stay current with industry trends, best practices, and advancements in computational oncology research. Apply this knowledge to enhance research methodologies and improve overall research quality on team Qualifications: Education: PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar) or, a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology. Alternatively an MSc degree with 4+ years of industry experience. Technical/Scientific Skills: Highly proficient in R (ideally Rmd and/or RShiny) Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. Preferred Skillsets/Background: Strong understanding of molecular data and artificial intelligence in drug discovery with experience in integrative modeling of multi-modal clinical and omics data. Previous experience working with large transcriptome and NGS data sets. Prior consulting and/or client facing experience is highly desirable Ability to work collaboratively in a team environment Thrive in a fast-paced environment and willing to shift priorities seamlessly. Experience with R package development. Strong peer-reviewed publication record. Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. Goal orientation, self motivation, and drive to make a positive impact in healthcare. California Pay Range - $100,000 - $150,000 Illinois Pay Range - $90,000 - $135,000 The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At Niagara, we're looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water. Consider applying here, if you want to: Work in an entrepreneurial and dynamic environment with a chance to make an impact. Develop lasting relationships with great people. Have the opportunity to build a satisfying career. We offer competitive compensation and benefits packages for our Team Members. Sr. Manager, Data Science- AI , ML & Optimization The Sr. Manager of Data Science, AI/ML & Optimization will provide expertise in AI through use of machine learning, optimization, and statistical models to design, prototype, build and scale next generation Advanced engines, models and services to enable business value creation. The role will drive both operational & strategic programs to enhance business strategies. Essential Functions Collaborate with full-stack product team & business partners to develop novel ways to meet business objectives utilizing cutting edge technology, models/algorithms and techniques Effectively communicate the analytics approach and how it will meet and address objectives to business partners Advocate and educate on the value of data driven decision making focusing on the "how and why" of solving problems Help the organization accelerate the journey to predictive and prescriptive analytics - focused on business decisions Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic products Engineer features by using business acumen to find new ways to combine disparate internal and external data sources Educate & share passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards Collaborate, coach, and learn with a growing team of Data Scientists Stay connected with external sources of ideas through conferences and community engagements AI governance, responsible AI / ethical AI, and scaling data science best practices across the organization Please note this job description is not designed to contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without prior notice. Qualifications Minimum Qualifications: 6+ Years- Experience in Technology Consulting or Data Analytics 6+ Years- Experience in or supporting Operations/Strategy 4+ Years- Experience managing people and projects experience may include a combination of work experience and education Preferred Qualifications: 10+ Years- Experience in Technology Consulting or Data Analytics 10+ Years- Experience in or supporting Operations/Strategy 6+ Years- Experience managing people and projects experience may include a combination of work experience and education Competencies Must have Python or R proficiency and experience working with Snowflake Statistics, Modeling, algorithms expert, with proficiency in classical AI Machine Learning (ML), and GenAI to solve clustering, time series, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Experience with designing data warehouses and/or data lakes with big data technologies such as Hadoop, Spark or distributed databases like Redshift and Snowflake. Experience with Big Data technologies desired- Hadoop, containerization, etc. Experience with containerization and managing pipelines and microservices, e.g., Docker, Kubernetes Experience with data visualization tools preferred- PowerBI, Alteryx, etc. Strong understanding of agile methodologies Experience as a Data Scientist on a cross-functional agile team preferred Strong communication skills with ability to communicate complex technical concepts and align organization on decisions Sound problem-solving skills with the ability to quickly process complex information and present it clearly and simply Utilizes team collaboration to create innovative solutions efficiently Value focused, Agile delivery with think-big, fail-fast mindset, and measurable outcomes Passionate about technology, responsible AI and excited about the impact of emerging / disruptive technologies Wants to unleash inner self-starter and work in an environment that fosters entrepreneurial minds Believes in culture of brutal transparency and trust and open to learning new ideas outside scope or knowledge This position embodies the values of Niagara's LIFE competency model, focusing on the following key drivers of success: Lead Like an Owner Provides strategic input and oversight to departmental projects Skilled in reducing costs and managing timelines while prioritizing long run impact Leads/facilitates discussions to get positive outcomes for the customer Makes strategic and sustainable data driven decisions which prioritize the needs of the customer over departmental/individual goals InnovACT Continuously evaluates existing programs and processes, and develops new initiatives to increase efficiency and reduce waste Creates, monitors, and responds to departmental performance metrics to drive continuous improvement Communicates a clear vision, organizes resources effectively, and adjusts the strategy as needed when managing change Find a Way Demonstrates ability to think analytically and synthesize complex information Effectively delegates technical tasks to subordinates Works effectively with depts, vendors, and customers to achieve organizational success Identifies opportunities for collaboration in strategic ways Empowered to be Great Engages in long term talent planning Provides opportunities for the development of all direct reports Understands, identifies, and addresses conflict within own team and between teams Education Minimum Required: Master's Degree in Supply Chain/Information Technology/Statistics/Computer Science/Data Science or other related field Preferred: Ph.D in Supply Chain/Information Technology/Statistics/Computer Science/Data Science or other related field Certification/License: Required: N/A Preferred: ASCM CPIM/CSCP, PMP PMI Foreign Language Required: None Required Preferred: None Required Typical Compensation Range Pay Rate Type: Salary $159,716.54 - $231,589.00 / Yearly Bonus Target: 15% Annual Benefits https://careers.niagarawater.com/us/en/benefits *Los Angeles County applicants only Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and any other applicable local and state laws. Any employment agency, person or entity that submits a résumé into this career site or to a hiring manager does so with the understanding that the applicant's résumé will become the property of Niagara Bottling, LLC. Niagara Bottling, LLC will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity. Employment agencies that have fee agreements with Niagara Bottling, LLC and have been engaged on a search shall submit résumé to the designated Niagara Bottling, LLC recruiter or, upon authorization, submit résumé into this career site to be eligible for placement fees. Niagara Plant Name CORP-MAIN

Summary Data Science Senior Managers in GEICO's Pricing Department lead complex data analyses and development of pricing, econometric, statistical, and machine learning models to drive business decisions, identify actionable insights, and create specific business value through shared insights and analytic solutions. In this role, Senior Managers apply actuarial and analytics skills to forecast business results based on in-market and proposed rating plan changes and provide leaders with options for rating plan changes that are optimized based on changing business goals, regulations, and market conditions. Taken together, these functions provide leaders with information to improve business decision making and provide expectations that can be measured against when changes are made to GEICO's rating plans. Job Responsibilities Leads collaborations with State Management, Product Management, Finance, Technology, and Pricing to identify and define analytic initiatives, formulate strategies, design rating plan structural enhancements, and develop solutions to achieve business goals through effective use of data and pricing and machine learning models. Builds and manages a strong, agile team of technical analysts and data scientists and trains them in accessing and interpreting data, analytical methods, and business relevance. Develops strategic and tactical plans. Regularly reviews progress to plans and escalates issues and blockers. Monitors results against specific goals to ensure completion and business impacts are achieved. Interprets and communicates data findings and insights using visualization, formal presentations, written memos, and other appropriate formats. Develops and implements documentation, project management, coding, and development best practices within a team. Identifies appropriate actuarial, statistical, and machine learning methods for a collection of projects. Manages the identification, extraction, aggregation, and synthesizes of data using SQL, R, SAS, Python or other appropriate languages to enable analysis, model development, and solution deployment. Manages the application of actuarial and data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Manages the discovery, analysis, evaluation, and adoption of new data, new uses for existing data, or new pricing and data science methods to improve the quality, efficiency, and business value of data and analytic solutions. Manages the building, testing, and validation of pricing, econometric, statistical, and machine learning models and analyses as part of overall solution development. Manages implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. Candidate qualifications and skills 6+ years' industry experience in data science and insurance pricing/ratemaking roles, with a deep understanding of both. 3+ years leading a team of quantitative analysts or data scientists. Actuarial ACAS/FCAS, advanced degree in a quantitative discipline, or 4+ years' insurance industry experience in a leadership position. Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management and communication to management and stakeholders Demonstrated experience in developing & executing a team development roadmap, influencing business decisions, and driving business value Working experience with predictive modeling, machine learning, experimental design, AB testing, and analytical modeling and data engineering tools such as R, Python, SQL, and Spark. Annual Salary $120,000-$240,000 Location This is a hybrid role, on-site 3 days per week from Chicago, IL, Chevy Chase, MD, or New York, NY. Annual Salary $130,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. 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.

About Northern Trust: Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Northern Trust is looking for experienced modelers/data scientists to join the Risk Advanced Analytics team. Responsibilities include working with large and complex data sets (both internal and external data) to develop, monitor and support the implementation of advanced analytics solutions and regulatory models The key responsibilities of the role include: Perform data analysis and advanced modeling techniques to solve complex business problems, provide insights and create innovative solutions Develop econometric forecasting models for key balance sheet and income statement line items (e.g. deposit forecasting, revenue forecasting) under different macroeconomic scenarios as part of the annual stress testing exercise Create predictive models for estimating probability of default and losses as part of the Bank's capital adequacy process Exercise independent judgement in identifying and resolving problems within established guidelines and development framework Interact with the Data Analytics team to request and ensure high quality data are utilized in the model development process Communicate regularly with key business partners, management, oversight committees and regulators by acting as a subject matter expert. The successful candidate will benefit from having: Graduate degree in a related field (math, statistics, economics) is required 5+ years of experience in banking and/or data science /modeling is required Experience with developing CCAR and PPNR models is preferred Experience with Time Series modeling techniques is required Excellent analytical skills and high attention to detail Experience using statistical programming languages such as Python, SAS, SQL Excellent oral and written communication skills, including presentation and data visualization skills Ability to effectively communicate with peers, senior management and overseas partners Ability to work under pressure, manage and prioritize multiple deliverables. #LI-LK2, #LI-Hybrid Salary Range: $83,100 - 141,300 USD Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com. We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.