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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

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world's largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multi-tenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We are hiring a Staff Data Science Engineer to join our Cyber Security and Data Protection Team. You will build quality products that secure mobile devices, applications, and data. You will develop innovative solutions that are transforming the internet security business, and that millions of users rely on for data protection and comprehensive security. In this role you will work on web filtering, policy enforcement, next-gen firewall, sandboxing, DLP, Saas API, CASB, Sandbox and Endpoint Protection user solutions. This role is onsite in San Jose, CA at least three times a week. Reporting to the Sr. Director, Software Engineering - Data Protection, you will: Design and develop software for scalable distributed systems to provide network security Participate in all phases of the product development cycle, from requirements, design, through implementation and test Develop software for machine learning based content categorization systems; develop data security and data leak prevention software solutions Work on the development of high-performance, fault tolerant and scalable systems; use algorithms and data structures to develop optimal solutions What We're Looking for (Minimum Qualifications) 5+ years of hands on experience programming in C/C++ and python Knowledge of data structures, run time complexities, IPC, FreeBSD/Linux and RPC 5+ years of experience building and scaling Machine Learning (ML) models Experience with machine learning or deep learning related toolset/frameworks, such as Pandas, Numpy, Scikit-learn, TensorFlow, PyTorch, and ONNX What Will Make You Stand Out (Preferred Qualifications) Familiarity with networking and networking security Hands-on experience with popular public cloud services infrastructure offerings such as AWS, GCP, Azure and experience with Docker, Kubernetes, and event messaging such as Kafka, RabbitMQ, etc #LI-AM12 #LI-Hybrid Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training. The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits. Base Pay Range $122,500-$175,000 USD At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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 We are looking for a Senior Data Science Engineer to join our Casino Reinvestment team, where we focus on understanding and optimizing how players engage with our iGaming products over time. As a Senior Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions. This role marks your first promotion from an entry-level position, recognizing your capability to deliver high-quality output and break down moderately sized problems into manageable chunks. What you'll do as a Senior Data Science Engineer Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement. Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. Mentor junior data scientists and share modeling and engineering best practices across the team. Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What you'll bring Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. Ability to independently structure and execute data science projects and deliver business value through production-ready models. Excellent communication and collaboration skills to work effectively across technical and non-technical teams. A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. 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 120,800.00 USD - 151,000.00 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're looking for experienced leaders to join our data science org who are excited about the challenges that come with rapid growth, and passionate about connecting people together through a positive and inclusive culture. As the Data Science Manager on our team, you'll work closely with stakeholders as well as leaders, and the broader data science team to deliver strategic insights and build data products that will optimize our go-to-market activity. These positions function more like a tech lead role, where you'll oversee a small team while also remaining actively hands-on. This is a full time role that can be held from one of our US hubs or remotely in the United States. We are seeking an experienced Data Science Manager to join and lead the Sales Data Science Team. In this role, you will be responsible for delivering customer focused insights, building the infrastructure and tooling to scale data access across a rapidly growing sales team, and deploy advanced models to improve our targeting and efficiency. The ideal candidate will have a strong track record of executing analytical projects, creating compelling data stories and visualizations, and communicating across diverse technical and non-technical audiences. What you'll do at Figma: Take a hands-on approach to tackle a subset of problems and provide detailed analysis. Manage, support and grow a diverse team of data scientists who own all aspects of data within the Sales organizations Partner with Sales leadership to set strategy, priorities, and mission for teams and projects Develop and refine more advanced statistical modelling around lead scoring, cross-sell modelling, and uplift modelling. Foster a data driven culture by elevating metrics reporting and understanding Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization Establish a vision for the team. We'd love to hear from you if you have: 5+ years of experience collaborating with sales teams, building models and conducting strategic analysis to fuel growth 2+ years of experience managing high output business oriented sales data science teams Proven track record of influencing functions and shipping high-quality data products that support organizational objectives Firm knowledge around statistical methods, including lead scoring, experimentation, and attribution modeling Proficiency in leveraging data and metrics to guide business decisions While not required, it's an added plus if you also have: A desire to build an inclusive and diverse culture Experience scaling teams in high growth environment Read more about our team: https://www.figma.com/blog/cross-functional-data-science-user-research-figma/ https://www.figma.com/blog/how-we-use-data/ https://www.figma.com/blog/from-experiment-to-launch-how-data-shaped-a-new-comments-experience/ At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. Lucid is seeking a data-driven Data Science Manager, Talent Acquisition to lead a team of Data Analysts, driving innovation and efficiency across our growing global TA Analytics and Data Insights function. You will build and manage the end-to-end recruiting analytics process, ensuring data integrity, optimizing operational efficiencies, and delivering strategic insights to inform recruiting and broader business decisions. This role requires strong data science expertise, knowledge of TA or People functions and processes, as well as the ability to lead teams and align work with business strategy. This is an excellent opportunity for an experienced Data Science Lead or Manager with experience in People Analytics or Recruiting Operations.   This is a hybrid role based out of our Headquarters in Newark, CA.   You Will:   Build and own the end-to-end analytics strategy for global TA, aligning data initiatives with business priorities and workforce planning needs.   Lead, grow, and develop the team of Data Analysts driving innovation and measurable impact across the Talent Acquisition lifecycle.   Design and operationalize advanced analytics solutions, including predictive models, funnel diagnostics, and automation tools that improve sourcing, selection, and hiring outcomes.   Define and evolve TA KPIs, metrics, and success frameworks, ensuring they support business goals, DEI commitments, and operational excellence.   Oversee the development and automation of scalable reporting infrastructure using Tableau and other BI tools, enabling real-time insights and self-service analytics for global recruiting teams.   Provide executive-level insights and storytelling that influence strategic decisions on headcount planning, talent marketing, and recruiter performance.   Ensure end-to-end data integrity across systems by partnering with business owners, IT teams, and external vendors to resolve inconsistencies and drive data governance.   Lead cross-functional initiatives with People Analytics, HR Tech, and Talent Operations to scale data-informed recruiting practices and improve stakeholder experience.   Establish rigorous QA and data audit processes, proactively surfacing risks, data gaps, and training needs to TA leadership.   Champion ethical and responsible use of data, particularly in areas like candidate experience, fairness in AI, and DEI hiring analytics.   Research, evaluate and innovate where AI can be utilized to progress TA analytics at Lucid long term   You Bring:   8+ years of relevant data science experience in People Analytics, Talent Acquisition Analytics, Business Intelligence, or Recruiting Operations.   Proven experience leading data science or analytics teams, ideally within Talent Acquisition, HR, or People. Ideally designing a Talent Analytics ecosystem from the ground up.   Deep expertise in statistical analysis, predictive modeling, and machine learning, with a strong ability to translate findings into business impact.   Advanced proficiency in Python, SQL, and data visualization tools (e.g., Tableau, Power BI); familiarity with data pipeline tools and cloud platforms (e.g., Airflow, Snowflake, AWS/GCP).   Strong understanding of Recruiting metrics, including experience with Applicant Tracking Systems (ATS) such as Greenhouse, SAP SuccessFactors, or LinkedIn Recruiter & Insights (a plus).   Demonstrated ability to influence leaders and cross-functional stakeholders and translate complex data into clear, actionable recommendations.   Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics or related field. Masters or PhD in related field preferred.   Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   Additional Compensation and Benefits : Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Base Pay Range (Annual) $167,200 — $245,190 USD By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . If you are a California resident, please refer to our California Candidate Privacy Notice . To all recruitment agencies : Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.   

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

Primary Office Location: 626 Washington Place. Pittsburgh, Pennsylvania. 15219. Join our team. Make a difference - for us and for your future. Position Title: Director of Data Science Business Unit: Marketing Reports to: Chief Marketing Officer P osition Overview: Hands-on leadership position (player/coach) responsible for supporting various internal customers by analyzing complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytical and modeling skills, this role is also proficient at integrating and preparing large, varied datasets and communicating results. Works closely with internal clients and other IT teams to turn data into critical information and knowledge that can be used to make sound organizational decisions. Primary Responsibilities: Set the department strategy and manage a team of Data Scientists focused on marketing, credit, regulatory and risk management: planning department workflow, assigning tasks, training and performance reviews. Develops and applies expertise in areas such as machine learning, optimization, data mining, statistical and mathematical analysis. Performs undirected research and tackles open-ended problems and questions, as well as develops and tests algorithms to aid in analysis of such problems and questions. Conducts statistical analysis and communicates results to relevant parties, authors reports containing actionable recommendations based on employed techniques, educates and trains others regarding quantitative techniques, sampling techniques and analytical methods and evaluates sources of information in order to determine any limitations in terms of reliability or usability. Works in a cross-function capacity to identify opportunities to enhance analytics in key business units throughout the Bank. Participates in the development of the Bank's analytics framework and data culture. Advises internal customers regarding the appropriateness of available quantitative methods to solve business and research problems. Manipulates and analyzes complex data gathered from multiple, structured and unstructured data sources. Identifies specific areas of weakness in data mining and interpretation processes and recommends appropriate methods to improve organizational understanding and analysis. Evaluates and recommends third party statistical software and programs for use within the company as deemed necessary to accommodate the unique needs of end users. Plans and executes data collection methods for specific projects and determines the types and sizes of sample groups to be used. Provide guidance on data sourcing and storage. Provide thought leadership on all things data science including technologies, services and processes. Supports predictive modeling needs, including development, production, maintenance and documentation of results and methodologies. Provides on-going tracking and monitoring of performance of decision systems and statistical models. Performs other related duties and projects as assigned. All employees have the responsibility and the accountability to serve as risk managers for their businesses by understanding, reporting, responding to, managing and monitoring the risk they encounter daily as required by F.N.B. Corporation's risk management program. F.N.B. Corporation is committed to achieving superior levels of compliance by adhering to regulatory laws and guidelines. Compliance with regulatory laws and company procedures is a required component of all position descriptions. Minimum Level of Education Required to Perform the Primary Responsibilities of this Position: MA or MS Minimum#### of Years of Job Related Experience Required to Perform the Primary Responsibilities of this Position: 7 Skills Required to Perform the Primary Responsibilities of this Position: Excellent project management skills Excellent communication skills, both written and verbal Excellent organizational, analytical and interpersonal skills Excellent customer service skills Ability to use a personal computer and job-related software MS Word- Intermediate Level MS Excel- Intermediate Level MS PowerPoint- Intermediate Level Proficient with LaTeX, SAS, R, Python, Scala, Statistical Learning and Machine Learning, relational and non-relational databases and Big Data technologies Expert in statistics and predictive modeling Licensures/Certifications Required to Perform the Primary Responsibilities of this Position: N/A Physical Requirements or Work Conditions Beyond Traditional Office Work: N/A Equal Employment Opportunity (EEO): It is the policy of F.N.B. Corporation (FNB) and its affiliates not to discriminate against any employee or applicant for employment because of age, race, color, religion, sex, national origin, disability, veteran status or any other category protected by law. It is also the policy of FNB and its affiliates to employ and advance in employment all persons regardless of their status as individuals with disabilities or veterans, and to base all employment decisions only on valid job requirements. FNB provides all applicants and employees a discrimination and harassment free workplace.

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

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. What You'll Do: Aerodynamic analysis of unmanned air vehicles, using both low and high order methods Apply ML concepts on engineering data to accelerate aerodynamic, structural and thermal analysis Develop various Data Science and ML tools to improve early stage MDAO trade space efforts Develop automated pipelines for training ML models with CFD or FEA data Apply data science techniques to build robust aerodynamic databases Required Qualifications: BS or higher degree in Aerospace Engineering or Data Science Understanding of fluid mechanics, aerodynamics and flight dynamics 2+ years experience deploying ML models in an engineering related framework Strong programming skills in higher-level languages (Python, Matlab) in a version-controlled environment (preferably git) and comfortable with low level languages (C, C++, Fortran) Experience deploying ML frameworks such as TensorFlow, Keras, or PyTorch Familiarity with various ML models, including: Geometric Neural Nets Transformers XGBoost and Random Forest RNN KNN PCA, DBSCAN Experience building end-to-end data science pipelines, including data aggregation, transformation, and model deployment Passion for defending the United States and her allies Ability to obtain and hold a U.S. Top Secret security clearance PREFERRED QUALIFICATIONS Degrees in both Aerospace Engineering & Data Science A strong desire to apply data science and ML methods across multiple engineering disciplines Experience with aircraft sizing and configuration trade studies, including aerodynamic design, shaping, and multidisciplinary design analysis and optimization (MDAO) Experience with transonic and supersonic flow regimes Experience with a variety of aerodynamic analysis techniques including hand calculations, vortex lattice methods, panel methods, and computational fluid dynamics (CFD) Active U.S. Secret security clearance US Salary Range $142,000-$213,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Platinum Healthcare Benefits: For U.S. roles, we offer comprehensive medical, dental, and vision plans at little to no cost to you. For UK roles, Private Medical Insurance (PMI): Anduril will cover the full cost of the insurance premium for an employee and dependents. For AUS roles, Private health plan through Bupa: Coverage is fully subsidized by Anduril. Basic Life/AD&D and long-term disability insurance 100% covered by Anduril, plus the option to purchase additional life insurance for you and your dependents. Extremely generous company holiday calendar including a holiday hiatus in December, and highly competitive PTO plans. 16 weeks of paid Caregiver & Wellness Leave to care for a family member, bond with your baby, or tend to your own medical condition. Family Planning & Parenting Support: Fertility (eg, IVF, preservation), adoption, and gestational carrier coverage with additional benefits and resources to provide support from planning to parenting. Mental Health Resources: We provide free mental health resources 24/7 including therapy, life coaching, and more. Additional work-life services, such as free legal and financial support, available to you as well. A professional development stipend is available to all Andurilians. Daily Meals and Provisions: For many of our offices this means breakfast, lunch and fully stocked micro-kitchens. Company-funded commuter benefits available based on your region. Relocation assistance (depending on role eligibility). 401(k) retirement savings plan - both a traditional and Roth 401(k). (US roles only) The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Anduril is an equal-opportunity employer committed to creating a diverse and inclusive workplace. The Anduril team is made up of incredibly talented and unique individuals, who together are disrupting industry norms by creating new paths towards the future of defense technology. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws, including the CA Fair Chance Initiative for Hiring Ordinance. We actively encourage members of recognized minorities, women, Veterans, and those with disabilities to apply, and we work to create a welcoming and supportive environment for all applicants throughout the interview process. If you are someone passionate about working on problems that have a real-world impact, we'd love to hear from you! To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ .

About Sony Music Entertainment At Sony Music Entertainment, we fuel the creative journey. We've played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We've nurtured some of music's most iconic artists and produced some of the most influential recordings of all time. Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we're committed to artistic integrity, transparency, and entrepreneurship. Sony Music Entertainment is a member of the Sony family of global companies. Sony Music Entertainment (SME) is seeking a Director of Data Science to join the Data Science & Analytics team. As a member of this team, you will provide business-focused machine learning and experimentation tools and services to our teammates throughout Sony Music. In this role, you will be at the forefront of SME's efforts to combat streaming fraud. You will develop and implement advanced strategies to detect and prevent fraudulent activities, leveraging your expertise in machine learning and anomaly detection. We are looking for a candidate who is passionate about music and technology and has a strong background in data science. What you'll do: Lead and develop SME's global content protection program to prevent streaming fraud. Coordinate with commercial partners, vendors, and industry bodies to implement best practice solutions for tackling fraud and intellectual property-related issues. Evaluate and research technologies incorporating machine learning, artificial intelligence, and automated content recognition. Research and develop predictive models, statistical methods, and machine learning algorithms to solve business problems. Prepare and analyze large datasets to identify patterns, trends, and insights to inform business decisions. Communicate effectively with cross-functional teams, including creative, business, legal, and engineering-focused teammates, to support business objectives. Deliver actionable insights to stakeholders and senior leadership to support decision-making processes. Who you are: Must possess B.S. in Computer Science, Mathematics, or related field. A master's degree is preferred. Minimum of 5+ years of experience working in machine learning, data analysis, or a related field. Proven experience in fraud detection. Knowledgeable about artificial intelligence. Proficiency in modern programming languages such as Python and Java. Possess strong analytical and problem-solving skills. Maintain a positive outlook and eagerness to tackle complex challenges What we give you: You join an inclusive, collaborative and global community where you have the opportunity to channel your passion every day A modern office environment designed to foster productivity, creativity, and teamwork empowering you to bring your best An attractive and comprehensive benefits package including medical, dental, vision, life & disability coverage, and 401K + employer matching Voluntary benefits like company-paid identity theft protection and resources for pets, mental health and meditation resources, industry-leading fertility coverage, fully paid leave for childbirth or bonding, fully paid leave for caregivers, programs for loved ones with developmental disabilities and neurodiversity, subsidized back-up child and elder care, and reimbursement for adoption, surrogacy, tuition, and student loans Investment in your professional growth and development enabling you to thrive in our vibrant community. The space to accelerate progress, positively disrupt, and create what happens next Time off for a winter recess Sony Music is committed to providing equal employment opportunity for all persons regardless of age, disability, national origin, race, color, religion, sex, sexual orientation, gender, gender identity or expression, pregnancy, veteran or military status, marital and civil partnership/union status, alienage or citizenship status, creed, genetic information or any other status protected by applicable federal, state, or local law.

The Teads Data Science Summer School is an immersive program, now also available in Paris, providing students and young professionals with the opportunity to enhance their data science and machine learning skills. Since its creation in 2018, the Data Science Summer School has equipped participants with cutting-edge skills and knowledge. By combining theoretical frameworks with practical applications, this rigorous program gives participants a comprehensive understanding of data science. Teads, a leader in digital innovation, is proud to continue its tradition of excellence in education and industry collaboration through this program. If you have a passion for data and enjoy coding, this could be the perfect opportunity to advance your career. During the one-week program, you will be guided through the entire lifecycle of real life data science projects and will work with gigabytes of realistic advertising data to solve actual industry problems. For a week you will collaborate with highly talented data scientists and engineers, applying data science techniques to real-world challenges. A great opportunity for gaining practical knowledge and experience, and see how we do it in the industry on a huge scale! To qualify for the program, you need to have strong coding skills and a foundational understanding of data science and machine learning. The program is completely FREE, including lunches, coffee, snacks, and all activities. However, full commitment is required for the entire duration of the program. Who will benefit most from attending the Data Science Summer School? The Teads Data Science Summer School is ideal for individuals who are eager to learn and have some existing knowledge of machine learning and data science, whether through university courses, online learning, or participation in Kaggle challenges. The program welcomes final year undergraduate, masters, and PhD students in computer science or related fields, as well as recent graduates and professionals looking to enhance their machine learning and data science skills. While prior experience is beneficial, the summer school caters to all levels, ensuring that both novices and experts can learn and contribute. Participants should have a basic understanding of machine learning and data science, and be comfortable with coding, as the summer school involves heavily in hands-on projects. Familiarity with TensorFlow and Python is helpful but not required. What to Expect? Our team of expert data scientists and engineers will lead you through a week of engaging data science talks, hands-on workshops, and exciting experimentation. You will also have the opportunity to learn from internal and external guest lecturers and connect with fellow data scientists through various social activities. The curriculum covers essential data science and machine learning topics, with an emphasis on real-life problems Teads solves every day in the programmatic advertising and full-funnel omnichannel data driven solutions.You can expect expert lectures on selected data science topics and hands-on workshops with huge and sparse datasets. The official language of the summer schools, including all presentations and materials, is English. Timeline: Registration open: 5. 5. 2025 - 22. 6. 2025 Selection notification: 1. 7. 2025 Summer School: 15. 7. 2025 - 18. 7. 2025 Life at Teads Our company culture is welcoming, dynamic, diverse, global, and built on top performance. Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment. Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups - employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you'll be able to share your passions with likeminded people.

Blue Yonder Job Title: Sr Director, Data Science Location: US- Remote Blue Yonder is a global leader in digital supply chain and omni-channel commerce fulfillment. We empower businesses to optimize their supply chains with AI-driven insights and innovative solutions. Join us to shape the future of supply chain management! Overview: We are seeking a Senior Director of Data Science to lead and innovate within our data science organization. This role will drive thought leadership, customer engagement, and cutting-edge AI/ML solutions while collaborating with cross-functional teams to deliver measurable business impact. The ideal candidate will have a strong background in data science, supply chain expertise, and a passion for solving complex problems through innovative approaches. What You'll Do: Roadmap Input & New Data Science Approaches (10%) Provide strategic input into the data science roadmap to align with Blue Yonder's long-term goals. Explore and implement new data science methodologies and generative AI techniques to enhance product offerings. Thought Leadership Collateral (20%) Develop whitepapers, case studies, and presentations showcasing Blue Yonder's data science capabilities. Represent Blue Yonder at conferences, webinars, and industry events to establish thought leadership in AI/ML for supply chain management. Sales, Customer Retention & Proof of Concepts (POCs) (40%) Partner with sales teams to demonstrate the value of Blue Yonder's solutions to prospective clients through POCs and technical deep dives. Collaborate with customers to ensure retention by delivering impactful AI/ML-driven insights and solutions tailored to their needs. Act as a trusted advisor for customers, ensuring alignment between their business objectives and our data science strategies. Data Science Projects (30%) Lead the execution of high-impact data science projects from ideation to deployment, ensuring alignment with business objectives. Oversee the development of scalable AI/ML models and prototypes that enhance operational efficiency and decision-making for customers. Mentor and guide a team of data scientists to achieve technical excellence and foster innovation. What we are looking for: Education: Masters Degree in Data Science, Artificial Intelligence, Computer Science, Engineering, or a related field is required. PhD preferred. Experience: Proven experience applying machine learning, deep learning, and data analysis within the supply chain domain. Technical Skills: Hands-on expertise in Generative AI techniques, prototyping, SQL, R, and Python for statistical analysis and programming. Customer-Facing Skills: Strong ability to engage with customers, understand their needs, and deliver tailored solutions that drive business outcomes. Communication: Exceptional written and verbal communication skills to effectively convey complex concepts to diverse audiences. Leadership: Demonstrated ability to lead cross-functional teams and manage multiple high-priority projects simultaneously. #US-REMOTE ------------------------------------------ The salary range for this position is $168,876.00 to $219,124.00 USD The salary range information provided, reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual salary will be commensurate with skills, experience, certifications or licenses and other relevant factors. In addition, this role will be eligible to participate in either the annual performance bonus or commission program, determined by the nature of the position. At Blue Yonder, we care about the wellbeing of our employees and those most important to them. This is reflected in our robust benefits package and options that includes: Comprehensive Medical, Dental and Vision 401K with Matching Flexible Time Off Corporate Fitness Program A variety of voluntary benefits such as; Legal Plans, Accident and Hospital Indemnity, Pet Insurance and much more At Blue Yonder, we are committed to a workplace that genuinely fosters inclusion and belonging in which everyone can share their unique voices and talents in a safe space. We continue to be guided by our core values and are proud of our diverse culture as an equal opportunity employer. We understand that your career search may look different than others, and embrace the professional, personal, educational, and volunteer opportunities through which people gain experience. Our Values If you want to know the heart of a company, take a look at their values. Ours unite us. They are what drive our success - and the success of our customers. Does your heart beat like ours? Find out here: Core Values All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Job Description Job Summary Advance Auto Parts is seeking a strategic and visionary Director of Data Science to lead and scale our Data Science practice. In this high-impact leadership role, you will drive data-driven decision-making across the organization, unlock new business opportunities, and deliver measurable value by leveraging advanced analytics, machine learning, AI and Gen AI. Reporting directly to the Chief Data and Analytics Officer (CDAO), you will play a critical role in shaping the company's data strategy, fostering innovation, and ensuring our data science initiatives align with broader business objectives. The ideal candidate is an experienced leader with a deep understanding of data science methodologies, a proven track record of building and leading high-performing teams, and the ability to collaborate effectively across technical and non-technical stakeholders. This position is part of a Hybrid work arrangement requiring four days a week in-office at the Advance Auto Parts headquarters in Raleigh, NC. Essential Duties and Responsibilities include the following; other duties may be assigned: Leadership & Strategy Build, lead, and mentor a high-performing Data Science team, fostering a culture of innovation, collaboration, and continuous learning. Define and execute the strategic vision for the Data Science practice, aligning with the company's overall data and analytics strategy and business goals. Act as a thought leader and advisor to the Chief Data and Analytics Officer, senior leadership, and cross-functional teams on opportunities to leverage data science to drive business value. Stay abreast of emerging trends, technologies, and best practices in data science, machine learning, and AI, and identify opportunities for their adoption at Advance Auto Parts. Data Science Practice Development Develop and implement scalable data science frameworks, tools, and methodologies to deliver predictive and prescriptive insights. Lead the design, development, and deployment of machine learning models and AI solutions to solve complex business problems, such as demand forecasting, pricing optimization, labor forecast engine, and supply chain network optimization. Establish best practices for model development, validation, deployment, and monitoring to ensure robustness, scalability, and business impact. Advocate for data-driven decision-making across the organization by translating complex analytics into actionable insights and storytelling. Collaboration & Stakeholder Engagement Partner closely with cross-functional teams, including IT, Product Management, Field, Merchandising, supply chain, and finance, to identify high-impact use cases and prioritize data science initiatives. Work with data engineering and analytics teams to ensure the availability of clean, reliable, and scalable data pipelines and infrastructure. Foster strong relationships with business leaders to ensure alignment between data science initiatives and organizational objectives. Operational Excellence Establish KPIs and metrics to measure the success and ROI of data science projects and initiatives. Ensure compliance with data privacy, security, and ethical standards when designing and deploying machine learning models. Identify and mitigate risks associated with data science projects and the use of AI technologies. QUALIFICATIONS: Skills Deep expertise in statistical modeling, machine learning, and artificial intelligence techniques, as well as hands-on experience with tools and frameworks such as Python, R, TensorFlow, PyTorch, or similar. Strong understanding of data engineering principles Strong understanding of data engineering principles, including ETL pipelines, data warehousing, and cloud platforms such as AWS, Azure, or Google Cloud. Exceptional problem-solving skills, with the ability to break down complex challenges into actionable solutions. Excellent communication and storytelling skills, with the ability to convey technical concepts to non-technical stakeholders and influence decision-making at all levels of the organization. Demonstrated ability to manage competing priorities, navigate ambiguity, and deliver results in a fast-paced environment Leadership Qualities Visionary leadership with a passion for fostering a data-driven culture. Strong team-building skills, with the ability to recruit, develop, and retain top talent in data science. Collaborative mindset and an ability to build strong partnerships across technical and business teams. Commitment to ethical AI practices and responsible use of data, ensuring fairness, transparency, and accountability in all data science initiatives. EDUCATION AND EXPERIENCE REQUIREMENTS: Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. 10+ years of experience in data science, advanced analytics, or a related field, with at least 4 years in a leadership role. Proven track record of delivering successful data science solutions that drive measurable business outcomes in a fast-paced, complex environment. Experience leading large-scale machine learning and AI initiatives, from ideation to deployment and monitoring. Strong familiarity with retail, e-commerce, or supply chain domains (preferred). California Residents click below for Privacy Notice: https://jobs.advanceautoparts.com/us/en/disclosures

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 Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you'll do as a Senior Data Scientist, Hockey Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team. What you'll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. 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 120,800.00 USD - 151,000.00 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.

Summary Data Science Senior Managers in GEICO's Pricing Department lead complex data analyses and development of pricing, econometric, statistical, and machine learning models to drive business decisions, identify actionable insights, and create specific business value through shared insights and analytic solutions. In this role, Senior Managers apply actuarial and analytics skills to forecast business results based on in-market and proposed rating plan changes and provide leaders with options for rating plan changes that are optimized based on changing business goals, regulations, and market conditions. Taken together, these functions provide leaders with information to improve business decision making and provide expectations that can be measured against when changes are made to GEICO's rating plans. Job Responsibilities Leads collaborations with State Management, Product Management, Finance, Technology, and Pricing to identify and define analytic initiatives, formulate strategies, design rating plan structural enhancements, and develop solutions to achieve business goals through effective use of data and pricing and machine learning models. Builds and manages a strong, agile team of technical analysts and data scientists and trains them in accessing and interpreting data, analytical methods, and business relevance. Develops strategic and tactical plans. Regularly reviews progress to plans and escalates issues and blockers. Monitors results against specific goals to ensure completion and business impacts are achieved. Interprets and communicates data findings and insights using visualization, formal presentations, written memos, and other appropriate formats. Develops and implements documentation, project management, coding, and development best practices within a team. Identifies appropriate actuarial, statistical, and machine learning methods for a collection of projects. Manages the identification, extraction, aggregation, and synthesizes of data using SQL, R, SAS, Python or other appropriate languages to enable analysis, model development, and solution deployment. Manages the application of actuarial and data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Manages the discovery, analysis, evaluation, and adoption of new data, new uses for existing data, or new pricing and data science methods to improve the quality, efficiency, and business value of data and analytic solutions. Manages the building, testing, and validation of pricing, econometric, statistical, and machine learning models and analyses as part of overall solution development. Manages implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. Candidate qualifications and skills 6+ years' industry experience in data science and insurance pricing/ratemaking roles, with a deep understanding of both. 3+ years leading a team of quantitative analysts or data scientists. Actuarial ACAS/FCAS, advanced degree in a quantitative discipline, or 4+ years' insurance industry experience in a leadership position. Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management and communication to management and stakeholders Demonstrated experience in developing & executing a team development roadmap, influencing business decisions, and driving business value Working experience with predictive modeling, machine learning, experimental design, AB testing, and analytical modeling and data engineering tools such as R, Python, SQL, and Spark. Annual Salary $120,000-$240,000 Location This is a hybrid role, on-site 3 days per week from Chicago, IL, Chevy Chase, MD, or New York, NY. Annual Salary $0.00 - $0.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. Benefits: As an Associate, you'll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including: Premier Medical, Dental and Vision Insurance with no waiting period Paid Vacation, Sick and Parental Leave 401(k) Plan Tuition Assistance Paid Training and Licensures Benefits may be different by location. Benefit eligibility requirements vary and may include length of service. Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Job Summary: Title: Vice President, Data Science & Analytics Reports to: Chief Digital Officer Location: New York, NY (In-office, 5 days a week) The Role: The Vice President, Data Science & Analytics will lead a team of engineers and analysts in building strategic reporting frameworks while conceptualizing and maintaining intelligence infrastructure for the music, sports, philanthropy and brand verticals that encompass Roc Nation's prominent roster of clientele. Responsibilities will include standard weekly reporting, as well as, daily ad-hoc executive summaries to support digital, artist management, recorded music distribution, strategic brand partnerships, sports and philanthropic teams in a fast-paced working environment. The ideal candidate will display a passion and eagerness to convey business intelligence and analysis in a manner that's compelling, digestible, actionable and comprehensible for executives and clients alike. This candidate is an excellent communicator and distiller of information and is comfortable and poised interfacing with senior leadership and Roc Nation's clientele. Responsibilities: The Vice President, Data Science & Analytics will manage a team of analytics experts and work closely with digital account leads to ensure the timely and coordinated delivery of the following services and products to key stakeholders including senior leadership, commercial partnerships, distribution, philanthropy, artist managers, athlete agents and clientele. Data Reporting, Insights, and Strategy Manage standardized weekly & monthly reporting Analyze social media, press, and music consumption data for daily ad-hoc insights on clients, client activity, events, trends and markets Deliver key strategic take-aways for ad-hoc requests across all verticals (music, sports, brands) Lead post-mortem reporting for major events, including lessons learned and suggested next steps Design data visualizations and dashboards for relevant BI platforms & reports Monitor ongoing social listening queries Intelligence Infrastructure & Education Conceptualize, innovate and maintain a proprietary intelligence system Effectively communicate data insights, processes, and statistical logic to internal and external partners with varying familiarity around data Diligently manage relationships with third party software vendors while keenly examining the technology landscape, looking for new software partnerships and integrations Lead awareness of new products, approaches, and trends in the data & technology space - especially pertaining to the rapidly evolving landscape of Artificial Intelligence and its applications Required Attributes and Skills Bachelor's degree in Business, Finance, Statistics, Economics, Computer Science, Applied Mathematics or a related field is preferred 3-6 years in a data-driven and analytical leadership role; preferably in the music, sports and/or entertainment industry Experience managing a team Entrepreneurial spirit and excited by fast-paced and demanding environments Resourceful, innovative, forward thinking and diligent Acute attention to detail with strong organizational and team management skills Excellent communicator and dynamic presenter Fluent in Excel, and familiar with coding frameworks (familiarity with SQL, in addition to Python and/or R experience is a plus) Excited by the opportunity to incorporate AI, LLM and agentic technology into operational processes and infrastructure Familiarity with major social media platforms and corresponding KPIs Experience with web analytics including Google Analytics Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa. Benefits & Perks HEALTH: Medical, vision, dental and mental health benefits for you and your family with access to a health care concierge and Flexible or Health Savings Accounts (FSA or HSA) YOURSELF: Free concert tickets, generous paid time off including paid holidays, sick time and floating days CAREER: Career and skill development programs with School of Live WEALTH: 401(k) program with company match --------- The expected compensation for this position is: $148,000.00 USD - $185,000.00 USD Pay is based on a number of factors including market location, qualifications, skills, and experience.

Scale works with the industry's leading AI model labs to provide high quality data and accelerate progress in GenAI research. We are dedicated to advancing the science of data for generative AI. We develop innovative techniques for hybrid data generation and data quality assessment, ensuring high-quality and diverse datasets to drive the next generation of AI capabilities. We are looking for Research Scientists and Research Engineers to advance science of data and tackle challenges in data generation, quality assessment, and data selection for large-scale AI models. In this role, you will research and develop methodologies for synthetic and hybrid data generation, data quality and diversity analysis, and annotator behavior modeling. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models. You will: Develop and refine synthetic and hybrid (with human-in-the-loop) data generation methods to enhance model training. Design and implement data quality frameworks, including data diversity analysis, data selection strategies, and detection of reward hacking. Collaborate with internal teams and external partners to establish best practices for high-quality AI datasets. Publish research findings in top-tier AI conferences and contribute to open-source data quality initiatives. Ideally you'd have: Ph.D., Master's degree/or equivalent experience in Computer Science, Machine Learning, AI, or a related field. Strong background in deep learning, LLM, and data-centric AI methodologies. Experience in synthetic data generation, data selection, reward hacking detection, human-in-the-loop data orc, and annotator behavior research. Proficiency in Python and ML frameworks such as PyTorch or TensorFlow. Excellent written and verbal communication skills. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals. Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. The base salary range for this full-time position in the location of San Francisco is: $220,000-$325,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

Department Booth Advancement: Advancement Services 2 About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school has produced ideas and leaders that shape the world of business. Their rigorous, discipline-based approach to business education transforms students into confident, effective, respected business leaders prepared to face the toughest challenges. Chicago Booth has the finest set of facilities of any business school in the world. Each of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud to claim: an unmatched faculty. degree and open enrollment programs offered on three continents. a global body of nearly 56,000 accomplished alumni. strong and growing corporate relationships that provide a wealth of lifelong career opportunities. As part of the world-renowned University of Chicago, Chicago Booth shares the University's core values that shape the distinctive intellectual culture. At Booth, they constantly question and test ideas, and seek proof. This extraordinarily effective approach to business leads to new ideas and innovative solutions. Seven of the Booth faculty members have won Nobel Prizes for these ideas - the first business school to achieve this accomplishment. For more information about the University of Chicago Booth School of Business, please visit: http://www.chicagobooth.edu/ . Job Summary The Senior Associate Director, Analytics and Data Science, leads the Analytics and Data Science teams in delivering insights that drive Chicago Booth's fundraising and alumni engagement strategies. This role manages team performance, prioritizes projects, and supports staff development in coordination with the Director of Analytics and Business Intelligence. The Senior Associate Director also leads staff database training, supports adoption of reporting tools, and ensures alignment with data governance standards through collaboration with Advancement teams and University partners. The Senior Associate Director oversees the development of data products, dashboards, and reports for a wide range of stakeholders, including senior leadership, while maintaining best practices in data delivery and documentation. This position ensures effective internal communication around technology and data changes, promotes cross-campus data collaboration, and identifies opportunities to improve data processes. A strong commitment to data quality, user support, and innovation is essential to the role's success. Responsibilities Provides program leadership for the Analytics and Data Science teams including coaching of team members, and initiation and execution of projects and processes. Supervises, manages, and mentors a team of three full-time staff, strategically identifying daily tasks, projects, and professional development in collaboration with the Director, Analytics and Business Intelligence. Works collaboratively with other members of the Advancement Operations teams, program managers, frontline staff, and senior leaders to implement applicable data delivery strategies. Serves as the lead for staff database training, including the creation of training materials and programs. Works with Data Integrity to develop new data governance protocol and improve existing guidelines to enable enhanced reporting opportunities. Supports and develops data products that support Booth Advancement's fundraising and alumni engagement goals and strategies, including interactive data products, process documentation, reports, and presentations for senior leadership. Stays current on industry trends and practices through associations, professional colleagues, and other sources. Serves as a resource to departments across Chicago Booth, including Admissions, Executive Education, and Research Centers, on matters involving data access and information sharing. Liaise with other senior managers and project leaders in Alumni Relations and Development on technology, reporting, and data delivery initiatives. Identifies opportunities to improve business processes and propose solutions that advance the mission of the department. Ensures compliance with University data governance policies across all tasks and projects. Has a deep understanding of prospect research, prospect management, strategic planning and market research on donors prospects. Provides guidance to research analysts, train staff members on fundraising, report writing, and research. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline. Certifications: -- Preferred Qualifications Education: Bachelor's degree. Experience: Minimum five years of experience in a fundraising or non-profit environment, with at least five years of experience analyzing and synthesizing data to produce clear, actionable reports and presentations. Previous management experience, including direct supervision of staff. At least two years of management experience. Technical Skills or Knowledge: Proficient with fundraising databases such as Salesforce. Demonstrated skill and knowledge of, or ability to learn quickly, the internal workings of the University as well as the technology tools available to the Office of Alumni Relations and Development, including the University's alumni database. Proficient in Microsoft Windows computer environment, Microsoft Outlook, Word, Excel, PowerPoint and Access. Proficiency with Tableau or similar data visualization software. Knowledge of SAP Business Objects or Structured Query Language. Awareness and interest in emerging techniques in machine learning and Big Data. Preferred Competencies Support multiple projects simultaneously, set priorities, and meet deadlines. Excellent analytical and quantitative skills, including interpret information and translate findings to stakeholders. Excellent database skills, achieve expert status on standard and proprietary databases, and flexibility in working with new programs in an emerging and changing environment. Superior verbal and written communication skills and demonstrated ability to articulate complex ideas clearly, accurately, and concisely. Knowledge of current trends in fundraising and alumni relations, including benchmarking and metrics. Strong attention to detail and strong commitment to customer service. Scrupulous attention to matters of discretion and confidentiality. Working Conditions This position is currently expected to work a minimum three days per week in the office. Travel to campus and/or non-campus locations for University business. Work evenings and weekends on occasion. Application Documents Resume/CV (required) Cover Letter (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Alumni Relations & Development Role Impact Individual Contributor Scheduled Weekly Hours 37.5 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $85,000.00 - $110,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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