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RaceTrac Company Overview Job Description: The Director, Enterprise Data Science is a cornerstone leader within the Enterprise Strategic Analytics + Data Science team (ESADS), tasked with driving innovation, data science excellence, and operational success across the organization. This role combines technical depth with strategic vision to deliver cutting-edge solutions in Statistical Data Science and Mathematical Optimization (Operations Research). The Director, Enterprise Data Science collaborates closely with Strategic Analytics Partners (SAPs) to ensure alignment with business objectives, while fostering a culture of excellence and continuous improvement within the data science discipline. Additionally, this role guides and supports their team, providing mentorship on designs and approaches, and partners with the business alongside the SAPs to ensure seamless integration of data science solutions with strategic goals. Responsibilities: Scope of Role: Lead the design, development, and delivery of advanced data science solutions that address critical business challenges and opportunities within the ESADS framework. Serve as the primary thought leader for innovation in data science, driving the adoption of cutting-edge methodologies, tools, and best practices. Build and maintain strong partnerships with Strategic Analytics Partners to align technical solutions with strategic business priorities and deliver measurable impact. Guide and mentor the data science team, ensuring high-quality designs, approaches, and delivery of solutions. Partner with the business alongside Strategic Analytics Partners to ensure alignment and integration of data science solutions with broader business objectives. Champion the use of AI/ML and optimization techniques, ensuring their application delivers scalable, repeatable, and high-value outcomes. Day-to-Day Activities: Oversee the end-to-end lifecycle of data science projects, from ideation and prototyping to production and monitoring. Collaborate with cross-functional teams to identify opportunities for leveraging data science to create business value. Conduct rigorous reviews of statistical and optimization models to ensure they meet business needs, technical standards, and ethical guidelines. Mentor and develop a high-performing data science team, fostering technical expertise, innovation, and career growth. Represent ESADS in high-visibility meetings and presentations with executive leaders to communicate progress, insights, and strategic recommendations. Be a vocal and visible leader in our AI Education, Innovation, and Governance team. Expected Outcomes: Deliver transformative data science solutions that enhance decision-making, operational efficiency, and competitive advantage. Elevate the analytical maturity of the organization by integrating predictive and prescriptive analytics into business processes. Demonstrate measurable impact through successful implementation of advanced data science initiatives, with impact explicitly measured in terms of ROI, that align with ESADS’ value-driven objectives. Complexities: Navigate highly complex and ambiguous problems, balancing technical depth with strategic alignment to meet organizational goals. Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards. Manage competing priorities across multiple projects while ensuring adherence to timelines, budgets, and quality standards. Maintain a dual focus on fostering innovation and ensuring operational excellence in the delivery of data science solutions. Qualifications: Required Experience: Master’s or PhD in Data Science, Operations Research, Applied Mathematics, Computer Science, or a related field. Minimum of 10+ years of experience in data science roles, with a proven track record of delivering high-impact solutions in Statistical Data Science and Mathematical Optimization. Extensive experience with AI/ML technologies, optimization algorithms, and large-scale data processing frameworks. Demonstrated expertise in tools such as Python, R, SQL, Databricks, and visualization platforms like Tableau or Power BI. Significant experience working in cross-functional teams and influencing stakeholders at all levels of the organization. Demonstrable experience with one or many of the following: Demand Forecasting, Flexible Segmentation (Customer, Performance, Weather, etc.), Network Optimization, Predictive Maintenance/Service, Predictive Customer Churn, Price Optimization, Risk Modeling, Marketing Mix Modeling, Customer Journey Analytics, Predictive Staffing Optimization, Staff Attrition/Retention Risk, Next Best Product/Offer, Customer Elasticity (Market Response Modeling), Assortment Optimization, Customer Loyalty Effectiveness/Optimization Beneficial Experience: Previous leadership experience managing data science teams and projects in enterprise environments. Consulting experience in analytics-driven industries, such as retail, logistics, or financial services. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud, Palantir) and MLOps best practices. All qualified applicants will receive consideration for employment with RaceTrac without regard to their race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

Play an integral role in the development of an ML ops framework for cyber incident detection. This is a project with high visibility that seeks to revolutionize cyber hunting. The role is multifaceted and will enable the contractor to strengthen and broaden skills in the areas of data engineering, ML, and cyber threat hunting and pen testing.

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity This position can work remotely in the continental U.S. with occasional business travel. Provide decision support for business areas across the enterprise. Staff in this area will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and inspire change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies. What you’ll do: Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies. Applies advanced analytical techniques to tackle business problems that are typically medium to large scale with significant impact to current and/or future business strategy. Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change Translates recommendation into communication materials to optimally present to various levels of management. Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences. Identifies and captures the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA). Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply. Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements. Understands and embraces emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions. Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy. Provides subject matter expertise in operationalizing recommendations. Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) Identifies opportunities to continue to learn in the data and analytics space, whether informal (E.g., Coursera, Udemy, Kaggle, Code Up, etc) or formal (E.g. Certifications or advanced coursework). Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business proven experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing etc.) for a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.). Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making. Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems. Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights. What sets you apart: Experience with marketing data and analytics. Advanced knowledge of data validation and data cleaning techniques. Advanced knowledge of experimental design (e.g., A/B testing). Data solution engineering with heavy SQL background. Cross functional experience with Insurance Agency Operation Teams. Familiarity with Insurance Agency Products. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. What we offer: Compensation : The salary range for this position is: $114,080 - $205,340. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world’s largest online therapy service, providing affordable and convenient therapy across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we’re not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a Data Science Extern at BetterHelp, you’ll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team’s well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you’ll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for? BetterHelp is looking for a Data Science Extern to help us scale and increase our impact. You will use data to drive insight into the product and business with a focus. The ideal candidate would have experience analyzing large and complex data sets related to web products. You'll be doing plenty of experiment design and post-hoc analysis to support product improvements and business decisions. What will you do? Get insight from an enormous amount of data, and take a proactive role partnering with the product team in finding and testing data-driven ideas for improving our products. Collaborate with the product team and development team to design effective, statistically rigorous experiments, including simple A/B tests as well as more advanced experiment designs that account for complexities such as network effects. Monitor and analyze several product tests with statistical rigor, present the data and insights to the team, and drive product decisions. Look at complex problems and come up with testable models and algorithms that have measurable business impact. Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. What will you NOT do? You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success. You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do. You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here! You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really. Can I work remotely? Yes. We operate on PST and candidates in any time zone are welcome to apply. Requirements Recently completed or currently pursuing a degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Operations Research, or Engineering Experience with SQL Basic knowledge of tools like R or Python for data analysis Some experience or coursework in data analysis, experiment design, A/B testing, and statistical methods Strong understanding of statistical concepts, particularly related to hypothesis testing and experiment design Excellent communication skills, with a willingness to learn how to present complex ideas in a clear and accessible manner Bonus (Great to have but not required) Familiarity with analyzing A/B tests or similar experiments through coursework or projects. Interest in B2C or marketplace products. Experience with data visualization tools like Tableau or Looker. Benefits The chance to build something that changes lives – and that people love An awesome community of co-workers Meaningful projects: Apply your education to real-world challenges through hands-on, impactful work that is both rigorous and rewarding. Growth & development: Expand your skills through mentoring, job shadowing, lunch & learns, and hands-on project work that supports your personal and professional growth. Dedicated support: Benefit from a manager and mentor who will provide ongoing guidance and support throughout your internship. The hourly rate for this position is $50 - $60 per hour. At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

Sony Pictures Entertainment (SPE) is a subsidiary of Tokyo-based Sony Corporation. SPE's global operations encompass motion picture production, acquisition, and distribution; television production, acquisition, and distribution; television networks; digital content creation and distribution; operation of studio facilities; and development of new entertainment products, services and technologies. SPE’s Motion Picture Group production organizations include Columbia Pictures, Sony Pictures Animation, Screen Gems, TriStar Pictures, 3000 Pictures, Stage 6 Films, AFFIRM Films, and Sony Pictures Classics. Sony Pictures Television (SPT) operates three complementary lines of business: 1) Distribution of SPE's feature films and television programming to television outlets around the world, 2) Local television production in key international markets, 3) International television networks and digital networks. For additional information, visit http://www.sonypictures.com/corp/divisions.html . GENERAL SUMMARY The Financial Analyst plays a critical role in supporting financial reporting, analysis, and strategic decision-making. This includes, but is not limited to, planning and preparing budgets, forecasts, and long-term financial plans, conducting ad-hoc financial analyses, and providing accurate and data-driven insights to support the management team. We are seeking a highly analytical FP&A professional with a strong background in data science, adept at leveraging advanced analytical tools such as Power BI, and Excel to enhance financial modeling, reporting, and business intelligence. The ideal candidate possesses problem-solving skills, a keen attention to detail, and the ability to translate complex data into actionable insights that drive business performance. The Financial Analyst reports to the Director and collaborates with all levels of the SPT management team, both at the home office and across territories, as well as with SPE Corporate Finance. RESPONSIBILITIES Financial Reporting & Analysis (80%) Conduct financial analysis for the SPT group and various business initiatives Assist with special projects and ad hoc management reporting Analyze financial and operational data to identify trends, risks, and opportunities that drive business performance Design and implement interactive data dashboards using advanced visualization tools like Tableau, Power BI Collaborate with business units to assess the financial impact of strategic decisions and optimize resource allocation Automate data collection, transformation, and reporting processes to enhance efficiency and reduce manual effort Prepare monthly variance analysis comparing actuals to budget/forecast for key management reports Support the accounting department during the month-end close process by explaining variances Budget & Forecasting (20%) Prepare monthly flash forecasts, quarterly forecasts, annual budgets, and mid-range plans, ensuring all required corporate submissions are completed accurately and on time Leverage advanced data analytics and statistical modeling to enhance financial forecasting, scenario planning, and decision-making Coordinate with local offices to manage budget and forecast submissions and respond to requests Develop forecasts for monthly Home Office Flash reports Assist in preparing presentations for Budget and Mid-Range Plan (MRP) meetings KNOWLEDGE/SKILLS/ABILITIES Experience of 1+ years in Finance, Accounting, Economics or Data Science experience is required Industry experience in cable, network or digital platforms, advertising sales or television is preferred with international experience also is a plus Fluency in English (required); Fluency in Spanish (preferred) Proficiency in financial modeling and data analysis tools (Excel, PowerPoint, VBA, PowerBI, Tableau etc.) SAP financial system experience is preferred Strong analytical and problem-solving skills, with the ability to interpret complex financial data Excellent communication, presentation and strong leadership skills are essential to this individual’s success Effective prioritization skills and time management are essential, as well as the ability to multi-task Ability to make commitments and meet deadlines Proactive, self-starter and independent thinker Team player with strong interpersonal skills who can work well with all levels of employees and is comfortable/experienced working in a multicultural environment The ideal candidate will have a mix of financial and accounting experience, including financial reporting, budgeting, forecasting, and planning Knowledge of financial statement preparation and variance analysis, and experience in budget and forecast preparation EDUCATION Bachelor’s degree with a focus on Accounting, Finance, Economics, Engineering is required. #LI-DA1 Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity We are looking for a Data Science Ecosystem Lead to build the foundation that will enable scalable, efficient, and impactful data science across our organization. Our team consists of multiple data science and analytics groups working on everything from media optimization to causal inference, and we need the right infrastructure in place to ensure their work is reproducible, discoverable, and production-ready. Today, data scientists face challenges like fragmented workflows, manual processes, siloed outputs, and limited insight into past work. This role is an opportunity to tackle those problems by improving both the day-to-day experience of data scientists and the long-term leverage of their work. What you'll Do Modernize data science workflows: Help move teams from manual development (e.g., working with spreadsheets or local code) to streamlined, automated, and collaborative workflows that support experimentation, versioning, and deployment. Partner with engineering to design systems that allow data science models to be deployed, monitored, and maintained in production, with appropriate ownership by DS teams. Make insights and outputs accessible and reusable. Solve the problem of lost or siloed knowledge by designing ways to capture and organize models, analyses, and findings so that others can find and build on past work. Enable consistency without limiting flexibility. Find opportunities to standardize how data scientists run models, track results, or document findings, without slowing them down or forcing a one-size-fits-all approach. Act as a connector across teams. Bridge the gap between data science, analytics, and engineering - translating needs, shaping priorities, and influencing how infrastructure investments are made. Required Qualifications MS/PhD or equivalent experience in Statistics, Data Science, Economics, Mathematics, Computer Science, or a related quantitative field. Has worked directly on building or improving tools, systems, or workflows for data scientists. Can understand, reimagine, and connect the dots across messy, end-to-end DS/analytics processes. Can influence and align diverse users without formal authority. Able to translate DS needs into platform requirements and co-develop solutions with engineers. Communicates clearly with both technical and business audiences; knows how to align priorities and set expectations. Comfortable taking loosely defined goals and turning them into concrete proposals and roadmaps. Hands-on familiarity with data science workflows and pain points Knows what it takes to move models from experimentation to live environments with monitoring and ownership. Proficiency in Python/R, and cloud platforms (e.g., Azure) for scalable model training and deployment. Experience with MLflow for managing E2E ML lifecycle Proven ability to build collaborative, multi-functional relationships. A curious, motivated approach with a passion for learning new skills, tools, and techniques! Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $142,700 -- $257,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

Position Description Job Title: Data Science Leader; Technology Location: New York, NY preferred or US – Remote can be considered Reports to: Chief Technology Officer Position Summary: Are you an ambitious and mission-driven Technology Leader eager to make an impact in public health? IAVI is seeking an ambitious Data Science Leader who will work closely with Chief Technology Officer as part of the Data and Analytics Engineering team. The Data Science Leader will develop and implement data-driven strategies to drive business growth and enhance decision making. The Data Science Leader will help to define data management and governance strategies, collaborate on transformation projects, and leverage modern cloud data architectures to align data initiatives with organizational goals. Key Responsibilities: Lead the design, development, and deployment of a large-scale IT ecosystem that will drive innovation in pharma R&D. Lead cross-functional teams in breakthrough AI/ML innovations. Build software to extract, transform and load data – Microsoft Fabric, Azure Data Factory, Synapse Lakehouse architecture. Lead the development of core platform services integrating Gen-AI, AI, and ML capabilities. Design and develop advanced AI solutions using Python, leveraging Lang Chain for building applications powered by LLMs. Build and optimize RAG pipelines using vector databases and embeddings to handle large amounts of structured and unstructured data. Cloud Resource Management: Manage cloud resources using infrastructure as code (e.g., ARM templates, Terraform, CloudFormation) and automation tools. Other tasks assigned by the Chief Technology Officer. Education and Work Experience: Minimum of BS degree in computer science, Math, Software Engineering, Computer Engineering, or related field AND 10+ years’ experience in data science, software development, data modeling or data engineering work required; OR Advanced (MS or PhD) Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 8+ years’ experience required. Experience with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch), cloud computing, data processing, API development, ML Ops, CI/CD pipelines, container orchestration, and coding languages is required. Data analytics and data engineering along with regulatory experience is preferred. Qualifications and Skills: Hands on coding experience in languages including, but not limited to, C, C++, C#, Java, or Python is required. Experience with security frameworks and compliance standards (SOC 1/2 , HIPAA, HiTrust, CSI, NIST) is preferred. Experience with Azure Machine Learning or similar systems, including deployment and monitoring of large-scale pipelines in cloud and Kubernetes environments is required. Expertise in Azure services including Azure Virtual Machines, Azure App Services, Azure SQL, Azure Functions, Insight/Monitor, etc, is preferred. Experience with ML and AL framework and libraries such as TensorFlow, sklearn, PyTorch, pandas, and transformers is preferred. Familiarity with DevOps practices and tools, such as Docker, Kubernetes, and CI/CD pipelines. Ability to perform well in a complex work environment and address numerous simultaneous requests effectively. Ability to deliver high-quality, accurate work within tight deadlines. Ability to work independently as well as function as a team player. Organizational Overview: IAVI is a nonprofit scientific research organization dedicated to addressing urgent, unmet global health challenges including HIV and tuberculosis. Our mission is to translate scientific discoveries into affordable, globally accessible public health solutions. Through scientific and clinical research in Africa, India, Europe, and the U.S., IAVI is pioneering the development of biomedical innovations designed for broad global access. We develop vaccines and antibodies in and for the developing world and seek to accelerate their introduction in low-income countries. IAVI programs and partnerships are grounded in the regions of the world where the disease burden is the greatest, and our approach emphasizes sustainability. Our network of clinical research center partners in Africa and India helps strengthen in-country research capacity and supports the training and education of the next generation of scientists. The global impact of our science includes fundamental contributions to understanding the biology of HIV infection, which IAVI and others are applying toward advancing vaccine science and immunology. IAVI accelerates scientific discovery and development by fostering unique collaborations among academia, industry, local communities, governments, and funders to explore new and better ways to address public health threats that disproportionately affect people living in poverty. Our global reach, including a clinical research network in five countries in sub-Saharan Africa and in India, has allowed us to make fundamental contributions to understanding the epidemiology, transmission, virology, and immunology of HIV. This work played a key role in facilitating the design of promising HIV vaccine candidates, as well as the discovery of broadly neutralizing antibodies that are now being advanced as promising approaches for HIV prevention. Our integrated capabilities in vaccine and antibody discovery, development, and clinical research take advantage of bio-pharmaceutical industry expertise to accelerate the development and testing of prevention methods for HIV and other diseases. Through the Product Development Center, we support external researchers with technical and scientific expertise to accelerate the development of their own products. IAVI CORE VALUES: Dedication to the Mission: We are committed to the translation of scientific discoveries into affordable, globally accessible public health solutions. Innovative Evolution: We are committed to solving complex problems in creative and innovative ways, learning from our mistakes and successes and never giving up Integrity: We are committed to meeting the highest ethical and professional standards in everything we do and to taking responsibility for our actions to earn respect Collaboration: We are committed to embracing diversity, the power of global teamwork and the belief that by working as one we can make a difference Disclaimer: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities and skills required of personnel so classified. This document does not create an employment contract, implied or otherwise, other than an “at-will” relationship. IAVI is an equal opportunity employer and applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. IAVI IS AN EQUAL OPPORTUNITY EMPLOYER dedicated to fostering a diverse and inclusive global organization. We recognize that a variety of backgrounds and perspectives enriches our work and strengthens our ability to achieve our mission. IAVI is committed to recruiting, developing, and retaining individuals through a merit-based approach. At IAVI, we celebrate the spectrum of colleagues’ experiences and believe that dedication to our mission above all is essential to our success as a scientific non-profit organization focused on global health. Zero Tolerance IAVI is an equal opportunity employer. It is IAVI’s policy to provide equal opportunity without regard to race, citizenship, color, sex, gender identity or expression, age, height, weight, disability (including physical and mental conditions unrelated to job performance), religion, creed, caste, home language, ancestry, national origin, pregnancy, marital or partnership status, sexual orientation, status as a protected veteran, ethnicity, genetic information, predisposing genetic characteristic, status as a victim of domestic violence, stalking and sex offenses, HIV status, or any other status protected by applicable federal, state, or local laws. Compensation and Benefits Information for US-Based Candidates: Annual base salary for this position is: $180,000.00 - 200,000.00 Please note, there may be some variation based on experience level. In addition, this position offers competitive benefits including: generous retirement savings plan employer contributions; competitive health, dental and vision insurance plans; competitive paid time off policy; potential for annual bonuses based on performacne; and other benefits. More information can be found on IAVI's career page.

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

The role: Join Curri to build and refine our data function with purpose and vision. As Director of Data Science and Engineering, you'll thoughtfully evolve our existing modern data infrastructure to drive strategic decision-making across the organization. This is an opportunity to make a significant impact at a growth-stage startup by translating complex data operations into actionable insights that directly influence our business trajectory. You'll lead a small, talented team (currently 3 members) while working closely with our executive leadership to shape how we leverage data. This role offers the autonomy to "make data your baby" while working within a collaborative environment that values both technical excellence and thoughtful implementation. What you will do: Lead and develop our existing data team to maximize their potential and impact Refine and optimize our Snowflake-based data infrastructure, building upon the foundation we've established with Snowflake, DBT, and Metabase Create platforms for operationalizing generative AI across the business, building on our successful implementations in support, driver optimization, and data summarization Partner with the executive team to translate data insights into strategic business decisions Collaborate closely with Engineering, Product, Finance, and other teams to ensure data solutions directly support company growth Identify and implement targeted infrastructure improvements that enhance system performance without unnecessary rebuilding Mentor team members to foster growth and continuity, resulting in strong retention and consistently high-quality work Share insights and perspectives at executive meetings and company All Hands, particularly around data strategy and AI initiatives What you need to have: 8+ years in data roles, including 3+ years in a leadership position, with a track record of impact in growth environments Deep expertise with Snowflake and modern data stack technologies (DBT, etc.) Strong understanding of AI/ML implementation and operationalization in business contexts Proven ability to build and mentor technical teams with limited resources Strategic mindset that balances long-term vision with practical, iterative execution Excellent communication skills to share complex concepts across all levels of the organization Experience working effectively across departments to deliver cohesive solutions Self-directed work style with a bias toward ownership and accountability What will make you stand out: Thoughtful Innovation: You identify which emerging tools and methods create genuine business value versus following trends Team Development: You create multiplier effects by combining technical excellence with people development Business Impact: You connect data initiatives to concrete business outcomes rather than pursuing technical initiatives in isolation Strategic Communication: You confidently share insights that shape company-wide decisions while maintaining independent perspective Cross-functional Influence: You maintain strong relationships across the organization while delivering high impact Iterative Approach: You value thoughtful evolution over disruptive change, building upon what works while strategically addressing gaps What is in it for you? A chance to make an immediate, meaningful impact at a fast-growing start-up. Significant responsibility from Day 1, with opportunities to shape our go-to-market strategy and directly contribute to company success. Work in a remote environment with a flexible schedule. We don’t micromanage and want to help you do great work. There is no work/life—there is only life, and we want your time at Curri to be life-giving and foster the best version of you. We care about family and your personal development and don't expect you to always be engaged with work. Competitive salary, along with health, dental, vision, 401K, and equity compensation. Who are we? We are Curri and our mission is to be the way the world delivers construction and industrial supplies. Curri provides on-demand, last-mile logistics for construction and adjacent industries with our nationwide fleet of cars, trucks, and flatbeds. Curri was founded in 2019 and was a part of the YC S19 Batch. Employees work out of our office in Ventura, CA, but the majority of our fast-growing start-up operates remotely, with over 100 employees spread across the United States. We're solving a massive, global problem of inefficiency in the construction industry. We imagine a world of efficient construction sites resulting in a net win for the entire world. Find out more at curri.com .

About the Role As the Director of Data Science for Recommendations and E-Commerce AI at Gap Inc, you will be responsible for providing strategic leadership, vision, and direction to a high-performing team. You will lead the development and optimization of AI Systems that drive personalization for Gap’s digital business, working closely with cross-functional teams to deliver personalized and engaging experiences for our customers. What You'll Do Strategic Leadership: Provide strategic direction for the development and evolution of an in-house Recommendation system. Collaborate with executive leadership to align data science strategies with overall business objectives. Own the roadmap for AI capabilities to drive Gap Inc.’s digital businesses. Team Management: Lead, mentor, and inspire a team of data scientists, ensuring a collaborative and innovative work environment. Foster a culture of continuous learning, professional development, and knowledge sharing. Algorithm Development: Oversee the design, development, and implementation of advanced recommendation algorithms. Stay abreast of industry trends and emerging technologies in search, recommendation systems, and E-Commerce Personalization. Cross-Functional Collaboration: Collaborate with product managers, engineers, and UX designers to integrate data-driven insights into the product development lifecycle. Work closely with stakeholders to understand business requirements and translate them into actionable data science initiatives. Experimentation and Optimization: Drive continuous optimization efforts based on user feedback and performance metrics. Communication: Communicate complex technical concepts and insights to non-technical stakeholders, providing regular updates on the performance of search and recommendation systems. Present findings and recommendations to executive leadership. Who You Are Proven experience in leading data science teams with a focus on digital commerce and recommendation systems. Strong proficiency in Python Expertise in machine learning techniques, natural language processing, and recommendation algorithms Excellent leadership and communication skills with the ability to influence strategic decisions. Experience with deploying production AI systems with real time latency Proven people and team leadership

As one of Europe's fastest-growing unicorns, we revolutionize eCommerce globally. Through strategic acquisitions and mergers, scaling initiatives, and cutting-edge technology, we're one of the top players in the industry. Following our acquisition of Perch - one of the leading US aggregators - a successful Series D funding round led by Presight Captial in 2024, and additional fundings in 2024 and 2025 we're aimed toward the next consolidation and a $1 billion top-line business! Your Role Razor Group is seeking a highly driven and analytical leader to join our team as the owner and Vice President of the Decision Engine, managing the optimization and automation of pricing, advertising, demand planning, and inventory management. This is a unique opportunity to have a massive impact at a rapidly growing company by directly influencing the profitability and growth of our portfolio of brands. You will build and lead a talented team in developing and implementing the core algorithmic logic that powers our automated decision-making engine, optimizing pricing and advertising strategies for thousands of consumer products. This role offers a high degree of ownership, autonomy, and the chance to shape the future of e-commerce. Our Decision Engine is the technological backbone of Razor's success. It's a sophisticated system that leverages advanced algorithms and machine learning to automate and optimize key business levers, including pricing, advertising, and inventory management. By analyzing vast amounts of data, the Decision Engine identifies opportunities to maximize profitability and drive growth across our portfolio of brands. To succeed in this role you: Strategic Leadership: Own the vision, strategy, and roadmap for data science and automation at Razor. Collaborate with executive leadership to define key performance indicators (KPIs) and align algorithmic strategies with overall business objectives. Drive the strategic financial direction of the business through the implementation of innovative economic models and systems. Stay ahead of industry trends and emerging technologies in e-commerce, pricing optimization, and advertising to identify opportunities for continuous improvement. Lead the team in the presentation of findings, insights, and recommendations to executive leadership and investors. Algorithmic Development and Implementation: Lead the design, development, testing, and implementation of advanced algorithms for dynamic pricing, advertising bid optimization, and supply-side levers. Oversee the development and maintenance of data pipelines that feed the Decision Engine with timely market data, competitor insights, and internal performance metrics. Lead the data science team in the development of predictive models that forecast demand, price elasticity, and the impact of advertising campaigns. Work closely with engineering and product leaders to advance the capability of the Decision Engine platform. Proactively identify opportunities for improvement in algorithmic performance and implement solutions to maximize profitability and efficiency. Team Management and Development: Recruit, manage, mentor, and develop a team of experienced data scientists and analysts, fostering a culture of innovation, collaboration, and continuous learning. Hire and onboard new team members, ensuring that the team has the necessary skills and expertise to achieve its objectives. Provide guidance and support to team members on technical challenges, career development, and performance management. Effectively delegate responsibilities and empower team members to take ownership of their functions. Cross-Functional Collaboration: Work closely with internal stakeholders across various departments, including brand management, marketing, supply chain, and finance, to ensure alignment and effective implementation of algorithmic strategies. Build strong relationships with external partners, including advertising platforms (e.g., Amazon, Google, Facebook) and data providers, to leverage their capabilities and insights. Communicate effectively with both technical and non-technical audiences, translating complex technical concepts into clear and actionable insights. Your Profile To succeed in this role you: Education: Hold a Bachelor's degree in Computer Science, Engineering, Statistics, Mathematics, Operations Research, or a related quantitative field from a top-tier university. Experience: Demonstrate 10+ years of relevant experience in data science, algorithmic development, or quantitative modeling, with a proven track record of building and deploying successful automated quantitative algorithms with multi-year roadmaps Hold 6+ years of experience managing and mentoring high-performing teams of diverse skillsets and experience Bring experience in e-commerce, consumer products, or retail industries is required Technical Skills: Apply high proficiency in Python and SQL, with experience developing and deploying production-level pipelines at scale Understand strong understanding of statistical modeling, machine learning algorithms, and optimization techniques Leverage experience with cloud computing platforms (e.g., AWS, GCP, Azure) and big data technologies Hold experience working with large datasets and building scalable data pipelines Implement experience with A/B testing and experimentation methodologies Leadership and Communication Skills: Exhibit exceptional analytical and problem-solving skills Show strong leadership abilities with a demonstrated ability to inspire and motivate a team Convey excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences Maintain self-motivation, proactivity, and results-orientation with a strong sense of ownership and accountability Mindset: Thrive in a fast-paced, dynamic, and entrepreneurial environment Hold passion for leveraging data and technology to drive business impact Display strong business acumen and strategic thinking abilities About Razor Group We are revolutionizing the e-commerce world, reaching over $1 billion in value and over $700 million in revenue, with the backing of top investors like Black Rock, VPC, and Fortress, Apollo, 468 Capital, Rocket Internet. Along with Perch and our previous acquisitions of Factory14 in Spain, Valoreo in Latin America, and our German competitor Stryze, we now operate a catalogue of over 40,000 products across 3 continents and 10+ countries. Headquartered in Berlin, we are also present in Austin, Boston, Delhi NCR, Hangzhou, and Mexico City!

General Summary Elevate is a leading online lending platform specializing in providing small dollar loans to individuals and businesses. Our mission is to offer accessible and responsible financial solutions through innovative technology and personalized service. As we continue to grow our operations, we are looking for a dynamic and strategic Vice President of Credit Risk Management to join our leadership team. Principal Duties and Responsibilities Strategic Leadership Develop and execute a comprehensive credit risk management strategy aligned with the company's growth objectives. Stay abreast of industry trends, competitive practices, and regulatory changes to inform strategic decisions. Collaborate with the executive team to integrate credit risk considerations into overall business strategy. Portfolio Performance Help design and monitor portfolio reports, dashboards, and KPIs that allow executive management to measure portfolio profitability. Develop and maintain a strong relationship with Marketing, IT, Legal/Compliance and other functions to ensure alignment of Risk Management initiatives with Company objectives. Work with internal risk partners to improve the efficiency and effectiveness of the end-to-end programs for each business. Analyze the expected risk impacts and profitability of new products/Marketing channels. Make recommendations and execute strategy enhancements to improve profitability through creative Risk Management solutions. Work with product and marketing to set goals on different financial levers (first pay defaults, fund rates, cost of acquisition, profitability, etc… Innovation and Technology Integration Champion the adoption and integration of innovative technologies that enhance risk assessment processes, such as AI and data analytics tools. Explore opportunities to improve customer experience and operational efficiency through technology solutions. Team Leadership and Development Lead and mentor a high-performing risk management team, promoting a culture of innovation, accountability, and collaboration. Foster talent development and ensure team members have access to the training and development they need to excel. Regulatory Compliance and Governance Ensure all credit risk management practices are compliant with relevant laws and regulations. Collaborate with legal and compliance teams to develop risk policies and procedures that align with best practices and regulatory requirements. Stakeholder Engagement Build strong relationships with internal and external stakeholders, including executives, product teams, and regulatory bodies. Present credit risk strategies and findings to the board and senior leadership in a clear and compelling manner. Experience and Education Master's degree in Finance, Business Administration, Economics, or a related field; PhD preferred. 10+ years of experience in credit risk management within the financial services or online lending industry. Proven track record of strategic leadership and driving high-impact initiatives successfully. Strong expertise in credit risk modeling methods, including experience with machine learning techniques. Excellent understanding of regulatory requirements and best practices in credit risk management. Exceptional analytical skills, with the ability to synthesize complex data and make informed decisions. Proven ability to drive innovation using technology and data analytics. Strong interpersonal and communication skills, with the ability to influence at all levels of the organization. California Employee Privacy Policy | Family & Medical Leave Act | Employee Polygraph Protection Act |E-Verify #LI-BJ1

Job Description: Data Science Manager - Derivatives Products Building trusted markets -powered by our people. Company Overview At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world. We're building inclusive ways to support professional and personal development while strengthening the trust we've earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to "go for it" and equip our managers with the training to coach their teams to the next level. Our Associate Resource Groups champion diversity, equity and inclusion, giving associates a safe space to network, share ideas and create opportunities. The Cboe Data Vantage group seeks a Data Science Manager to join our team. Data Vantage provides derivatives valuation, risk analytics, and margin services that enable institutional clients to manage derivatives risk and enhance and support investment strategies. This role will focus on our global real-time option model fitting processes that apply models including binomial, SABR, and MJD and use machine learning for real-time calibration. This is an opportunity to advance one's knowledge of the derivatives markets, gain hands on exposure to a uniquely vast amount of analytic data, and to work within a team with deep experience in financial markets and computer science who are committed to improving information in the financial markets. Location: NYC or Chicago (flex hybrid) Responsibilities Apply statistics including use of predictive analytic methods to assess the integrity, stability, and reliability of the model results over time. Propose and develop new metrics and data views that can help us maintain and improve the fitness of our derivatives risk analytics and supporting data processes. Collaborate with Development teams to help create Quality Engineering tooling and frameworks. This includes providing R&D results along with specifications and prototypes. Qualifications The candidate will have a strong understanding of statistical concepts and data science methods. Masters degree required in a quantitative discipline such as Statistics, Operations Research, Engineering, Physics, Math, or Computer Science. Academic and/or industry experience with statistical modeling and predictive analytics 5+ years of experience, ideally in financial industry with exposure to financial products (e.g. equities and options, fixed income) and could include experience with option pricing models such as Black Scholes, or rates curve bootstrapping and models such as Nelson Siegel. Strong proficiency in programming/scripting languages such as Python or R, and SQL is a requirement. Ability to write code and analyze large data sets. Familiarity with Java is a plus. Experience with optimization approaches is a plus. Communication skills to work effectively with both technical and business side team participants. Benefits and Perks of working for Cboe Global Markets We value the total wellbeing of our people - including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer: Medical Coverage Prescription Drug Coverage Additional Medical Benefit Dental Coverage Vision Coverage Spending Accounts Life and AD&D Insurance Retirement Savings Plan Employee Stock Purchase Plan (ESPP) Voluntary & Additional Benefits Paid Time Off More About Cboe Europe We're reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We're investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We celebrate the diversity in our communities, inside and out, and welcome new perspectives with equity, inclusion and belonging. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We're an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on our website and LinkedIn. Equal Employment Opportunity We're proud to be an equal opportunity employer - and celebrate our associates' differences, including race, religion, sex, sexual orientation, gender identity, national origin, age and disability #LI-JS1 #LI-HYBRID Our pay ranges are determined by a number of factors, including, but not limited to, role, experience, level, and location. The national new hire base pay range for this job in the United States is $125,800-$155,400. This range represents the minimum and maximum base pay the company expects to offer for new hires working in the position full time. If you live in one of the following areas or if you work in a Cboe office in the following areas, the range may be higher according to the geographic differentials listed below: US Geographic Differentials: 110%: Austin TX, Chicago IL, Denver CO, San Diego CA 115%: Los Angeles CA, Seattle WA 120%: Boston MA, Washington DC 125%: New York City NY 130%: San Francisco CA Within the range, individual pay is determined by a number of factors, including, but not limited to, work location, job-related skills, experience, and relevant education or training. In addition to base pay, our total rewards program includes an annual variable pay program and benefits including healthcare (medical, dental and vision), 401 (k) with a generous company match, life and disability insurance, paid time off, market-leading tuition assistance, and much more! Your recruiter will provide more details about the total compensation package, including variable pay and benefits, during the hiring process. For further information on our total rewards program, visit TOTAL REWARDS @CBOE. Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.

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

Our Applied team brings OpenAI technologies to consumers and businesses around the world. We collaborate across research, engineering, design and business functions to turn cutting-edge AI advancements into impactful real-world applications. Our team has been behind notable product launches (ChatGPT, API, Sora), creating tools that help developers write code, enable businesses to operate more efficiently, and empower individuals to learn and create. As AI capabilities rapidly evolve, we focus on ensuring that our products are safe, accessible, and beneficial to all. About the Role You will lead the Data Science team embedded with the ChatGPT Growth team at OpenAI, helping to shape and support the data-driven decisions that influence product growth strategies. You will work closely with the product and engineering teams to drive growth of ChatGPT and reach over 1B users. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Lead and mentor a small, high-performing team of data scientists, fostering a culture of collaboration, experimentation, and rigor. Collaborate with the product and engineering teams to deeply understand the drivers of ChatGPT's growth, and develop data-driven insights to inform key strategic decisions. Build and manage key growth metrics, ensuring a robust and actionable data framework that drives business impact. Establish and promote a culture of experimentation, using data to evaluate the effectiveness of different growth initiatives and strategies. Serve as a trusted partner to cross-functional teams, providing insights through data-driven storytelling and presenting complex data clearly to both technical and non-technical stakeholders. Maintain a hands-on approach when necessary, rolling up your sleeves and driving excellence through individual contributions while leading the team. You might thrive in this role if you: Leadership experience: Proven experience leading product analytics or growth-focused data science teams. Growth domain expertise: Expertise in understanding product growth levers and using data to influence strategy and decision-making. Excellent communicator: Skilled in translating complex data insights into compelling narratives that drive alignment across teams and influence key decisions. Humble and collaborative: A team-oriented leader who values coaching, learning, and fostering a culture of growth and experimentation. Hands-on: Willing to dive into the details and drive excellence by working alongside the team to deliver high-quality insights. Coachable: Open to feedback and a strong desire to continuously improve and grow as a leader. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours Our team comprises algorithm experts and data science technologists, coming together to develop innovative data products that solve analytically challenging problems at DraftKings. Risk data science at DraftKings directly influences revenue, customer trust, and regulatory compliance. As a Senior Lead Data Science Engineer, Risk on this team, you're not just optimizing metrics-you're enabling safe play at scale. Your contributions will harden our defenses, reduce financial exposure, and support responsible platform growth. What you'll do as a Senior Lead Data Science Engineer, Risk Apply deep statistical reasoning and analytical creativity to detect, model, and counter evolving fraud patterns-where ground truth is ambiguous and adversaries adapt in real time Orchestrate end-to-end ML lifecycle planning across teams, with a focus on deeply analytical modeling approaches-ensuring solutions are mathematically grounded, interpretable, and resilient to adversarial manipulation. Design and implement scalable ML pipelines for real-time and batch environments, including robust testing, statistical validation, and data/application monitoring strategies to detect and mitigate adversarial behaviors such as payment abuse and stolen identities. Lead cross-functional technical strategy in how DraftKings builds, deploys, and maintains machine learning systems for fraud detection, trust, and identity verification, ensuring performance, scalability, and reliability across domains. Set the architectural and technical vision across teams, translating risk detection needs into measurable, production-ready outcomes-while shaping the future technical direction of our ML risk platform in close partnership with Risk Ops, Product, Legal, and Engineering. Drive process innovation in model development and evaluation, including backtesting frameworks, experimentation infrastructure, and system-level reporting to accelerate iteration and reduce model risk. Break down large, ambiguous initiatives into multi-team, technically executable plans, ensuring timely delivery across multiple sprints. Mentor senior engineers and technical leads across domains, setting modeling standards and fostering organizational excellence through scalable design reviews and capability-building. What you'll bring 8+ years of engineering experience, including 5+ years building and operating ML/AI systems at scale in production environments-especially in adversarial domains like fraud, risk, or abuse detection. Deep mastery of applied machine learning and statistical modeling, including the ability to formulate ambiguous problems with mathematical rigor and deliver accurate, interpretable solutions under real-world constraints. Exceptional critical thinking skills and a proven ability to design robust models in adversarial settings, where data is noisy, incomplete, or intentionally deceptive. Expert-level Python skills, with fluency in ML tooling and experience in other languages or frameworks that support scalable deployment. Hands-on experience with modern ML infrastructure and platforms, such as Databricks, Kubernetes, Terraform, Kafka, and MLflow. Track record of mentoring leads and scaling technical rigor across teams, coupled with high autonomy and the ability to drive cross-cutting strategic initiatives. Executive-level communication and influence, capable of aligning technical direction with cross-functional leadership across Legal, Risk Ops, Product, Compliance, and Engineering to deliver platform-wide outcomes. A commitment to continuous learning, with a passion for staying up to date on emerging ML technologies and fraud tactics in evolving risk landscapes. A Master's or PhD in a relevant field such as Computer Science, Statistics, or Mathematics is preferred. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

We have many opportunities available on our other career site pages. Click here to link to our careers page! Signet Jewelers is the world's largest retailer of diamond jewelry, operating more than 2,800 stores worldwide under the iconic brands: Kay Jewelers, Zales, Jared, H.Samuel, Ernest Jones, Peoples, Banter by Piercing Pagoda, Rocksbox, JamesAllen.com and Diamonds Direct. We are a people-first company and this core value is at the heart of everything we do, from empowering our valued team members, to collaborating with our customers, to fostering the communities in which we live and serve. People - and the love their actions inspire - are what drive us. We're not only proud of the love we inspire outside our walls, we're especially proud of the diversity, inclusion and equity we're inspiring inside. There are dynamic career paths awaiting you - rewarding opportunities to impact the lives of others and inspire love. Join us! We are seeking a forward-thinking leader to drive innovation in AI/ML product development and machine learning operations (ML Ops). This role will lead the design and deployment of advanced data science and machine learning solutions that enhance decision-making and deliver measurable business value. You will play a key role in shaping the strategic use of data across the organization, leveraging emerging technologies and best practices to build scalable, impactful models. In addition to technical leadership, this position is responsible for building and developing a high-performing, diverse team of data science professionals. You will provide hands-on mentorship, foster a culture of innovation, and lead by example in applying analytical solutions that support business growth. The ideal candidate will also serve as a key advocate for data science across the organization-partnering with stakeholders, advising leadership, and championing the adoption of AI/ML tools and practices to create a more data-driven culture. KEY RESPONSIBILITIES: Lead and inspire the development of advanced data science, statistical models, AI, and ML capabilities. Revolutionize insight driven decision-making across retail functions and brand teams. Stay updated on industry trends and emerging data science techniques. Implement ML Ops practices for scalable and efficient machine learning model deployment. Guide Enterprise Analytics teams in using AWS services to build accurate, insightful models while minimizing technical debt. Recruit, inspire, and lead a diverse team of data science professionals. Provide coaching, mentorship, and hands on support to foster innovation and personal growth. Lead by example in applying analytical solutions that drive growth. Partner with data and analytics leaders to create an insights driven culture. Consult and advise executives as well as collogues on AI/ML solutions for better decision-making. Encourage the adoption of data science tools to enhance performance and inspire business leaders. POSITION QUALIFICATIONS: Bachelor's degree required; advanced degree (MA/MS/PhD in Statistics, Mathematics, Data Science, or MBA) strongly preferred 10+ years of experience leveraging data science to uncover business insights, improve customer experiences, and drive strategic value Proven track record developing analytics strategies, tools, and automated reporting systems to enable data-driven decision-making Deep expertise in data management, data analysis, and working with diverse datasets and tools across large-scale environments 5+ years leading and mentoring data science teams, including experience managing offshore and cross-functional teams Strong foundation in statistical methods and techniques such as regression, clustering, forecasting, decision trees, ANOVA, and experimental design Hands-on experience deploying AI/ML models to enhance performance and decision-making, ideally within a retail or consumer-focused environment Proficiency in analytics tools and technologies including SQL, Python, R, SAS, Tableau, Power BI, Alteryx, and cloud platforms (preferably AWS) Exceptional communication, project management, and executive presentation skills, with experience managing budgets and vendor relationships PERKS AND BENEFITS: Comprehensive healthcare, dental, and vision insurance to keep you and your family covered Fertility Benefits, with a max of $15,000, for participants in the U.S. medical plans/prescription plans Generous 401(k) matching after just one year to help secure your financial future Ample paid time off, plus seven holidays to recharge and unwind Exclusive discounts on premium merchandise just for you Dynamic Learning & Development programs to support your growth And more! The salary range for this opportunity is $185,000 - $210,000. Base pay offered may vary depending on geographic region, internal equity, job related knowledge, skills and experience, among other factors.

About Lila Sciences Lila Sciences is the world's first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way. If this sounds like an environment you'd love to work in, even if you only have some of the experience listed below, please apply. Your Impact at Lila Lila Sciences is seeking a Director of Data Science to join our Life Science Research department and serve as a strategic, hands-on leader supporting teams of wetlab biologists, AI researchers, and automation engineers. In this role, your primary responsibility will be for enabling the construction of Lila's Scientific Superintelligence platform through leadership in statistical methods, experiment design, establishment of best practices for wetlab-drylab integration, and bioinformatic/cheminformatic data engineering. You will recruit and manage a group of data scientists and engineers that work hand in hand with wetlab-based scientists and engineers. You will be accountable for delivering robust, productionized methods for performing molecular design and studying new biology within Lila's platform. ️ What You'll Be Building Establish, lead, build, and mentor a group of data science and bioinformatics scientists and engineers dedicated to integration with wetlab-based scientists and engineers Companywide leadership in statistical methods for biological experiment design and analysis Establishment of best practices for wetlab-drylab integration Leadership of bioinformatic and cheminformatic data engineering What You'll Need to Succeed 10+ years of experience in bioinformatics and/or biological data science Ph.D. or equivalent early career experience in a relevant field 2+ years leading a team as a people manager or program leader Enthusiasm and passion for integrating computational and wetlab scientists Expertise in the application of AI/ML approaches to biomolecule design and/or experimental design Deep technical knowledge of one or more of the following: Protein design, nucleic acid therapeutics design, small molecule drug design, macrocyclic peptide drug design, cell therapy design We're All In Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. A Note to Agencies Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

Associate Director, Data Science This role is to be based near one of our offices in Los Angeles, Chicago, Austin, Oakland or New York. About us We turn customer challenges into growth opportunities. Material is a global strategy partner to the world's most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. About the Associate Director, Data Science position Material is seeking an Associate Director of Data Science who is passionate about helping clients make data-driven decisions. This role focuses on customer analytics using consumer surveys, first party datasets (CRM/CDP), and/or digital behaviors. You have experience integrating disparate data sources to transform both structured and unstructured data into meaningful insights using data-oriented programming languages, statistical modeling/machine learning, and/or business intelligence (BI) visualization software. This position requires not only strong technical and analytical acumen, but also the ability to translate findings into structured "data narratives" that resonate with non-technical clients. The ideal candidate has a background in statistical modeling, extraction and transformation in enterprise data warehouses, and experience with AI/ML. While this role is primarily analytics-focused, our team is part of a broader data and analytics practice, offering opportunities for collaboration on AI applications. Your role will encompass these areas of responsibility: Technical Extract, cleanse, and combine data from multiple sources and systems. Build statistical models to extract insights and predictions of client KPIs. Data manipulation in relational databases and/or data warehouses. Collaborate with research and strategy teams, manage clients, synthesize, and execute statistical analyses. Develop and continually improve multi-source data architecture and analytics procedures, systems, workflows, and data pipelines in collaboration with analysts, data scientists, and data engineers. Assess impact of data quality and coverage on downstream analytics; creatively problem-solve against blockers Managerial Deliver executive-ready analytics reviews and strategic points of view supported by quantitative and statistical analysis and clear, concise communication. Collaborate with team members to build client relationships and to deliver complex results and presentations , including recommendations for improvement. Scale personal impact through formal and informal leadership of junior analysts. Develop analytic plans and troubleshoot deviations from established plans. Prioritize and respond to ad-hoc requests for analysis and data needs quickly and accurately. Contribute to the development of end-to-end, data-driven solutions. Stay current on industry best practices to be able to formulate and execute point-of-view documentation. Manage multiple simultaneous projects and workstreams. Ideal experience: ~3+ years relevant experience in a dedicated data science or analytics role Proficiency in Python or R. Experience with data preparation and processing in data warehouses (Snowflake, Big Query and Amazon Web Services) for data mining. Expertise translating model insights and predictions into story-driven reports and presentations for stakeholders. Demonstrated ability to use data science to drive and communicate business impact. Familiarity with quantitative analysis and research methodologies. Experience managing and prioritizing work streams for 2-3 stakeholders and departments in different geographies. Bonus experience: Familiarity with clickstream data providers such as Disco, Luth, Verto, MFour, Behavix. Experience analyzing survey data. Experience with cloud-computing. Familiarity with time series models. Experience with complex B2C stakeholder ecosystems, including CRM platforms (Salesforce, Hubspot), CDPs (mParticle, Treasure Data, Segment), and ESPs (Salesforce, Braze, Marketo). Hands-on experience with dashboarding software: Tableau, Power BI, or Data Studio. Understanding of research methodologies for agile test & learn programs. This growth path for this role includes managerial responsibilities, thus opportunity for career growth includes providing leadership in this analytical space. As such, managerial experience, or strong indicators for being ready for managerial responsibilities are a major plus. Why work for Material? In addition to fulfilling, high-impact work, company culture and benefits are integral to determining if a job is a right fit for you. Here's a bit about who we are and highlights around what we offer. Who We Are & What We Care About Material is a global company and we work with best-of-class brands worldwide. We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare. Material employees join a peer group of exceptionally talented colleagues across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients. We prize inclusion and interconnectedness. We amplify our impact through the people, perspectives, and expertise we engage in our work. Our commitment to deep human understanding combined with a science & systems approach uniquely equips us to bring a rich frame of reference to our work. A community focused on learning and making an impact. Material is an outcomes focused company. We create experiences that matter, create new value and make a difference in people's lives. Pay Range: $95,000.00 - $125,000.00 The range shown represents a grouping of relevant ranges currently in use at Material. Actual range for this position may differ, depending on location and specific skillset required for the work itself. Equal Employment Opportunity All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law. Privacy Statement Material is committed to protecting privacy in our recruiting processes for all candidates. For more information, please refer to our Privacy Policy. California-resident applicants should also refer to our California-resident Candidate Privacy Statement. If you need support with a privacy-related matter, please send an email to: privacyrequests@materialplus.io