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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.

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

WE HAVE CREATED A WORLD WHERE ART AND SCIENCE ARE BEST FRIENDS Known is a modern marketing company engineered for the unprecedented opportunities and challenges facing marketers today. We are about 200+ people strong, pairing PhD data scientists with award-winning creatives, strategists, engineers and expert research teams to produce some of the most innovative and cutting-edge creative work in culture. We believe that when creative truly collaborates with science, strategy, and technology, amazing things can happen. Ad Age touted that "Known may be the ultimate example of a full-service agency," and honored us with two prestigious recognitions this year: #3 on The A-List as one of the top agencies in the world, and Ad Age's Data & Insights Agency of the year for the second year in a row. Without our incredible partnerships with our clients, spanning across the leading brands in finance, technology, entertainment, media, CPG, real estate, and many other categories, honors like this could not be possible, and also have helped us earn additional awards and recognitions over the years like: Emmys, Clios Entertainment and Sports Awards, Effies, Cannes Lions Awards, ProMax Agency of the Year, and Digiday's Most Innovative Media Agency to name a few. We couldn't create this award-winning work without seeking out and hiring the best talent. What does it mean to be a Knowner? We are curious innovators, knowledge-hunters who are constantly challenging ourselves to do better and be better for our clients, for our team and for our world at large. Our offices around the U.S. are open and while most of our people work in a hybrid setting, we are a distributed workforce with a number of Knowners working remotely. BUT ENOUGH ABOUT US, LET'S TALK ABOUT YOU About the role: Known's Skeptic team builds the tools that power Known's media buying practice and elevate the media campaigns of our clients. Our work ranges from predictive modeling / optimization to infrastructure development, and Skeptic's data scientists and engineers are challenged every day to push the limits of advanced advertising. We are seeking a Director of Data Science who can understand the core business objectives of our internal teams and our clients, and develop tools tailored to their use cases. Experience in media, including but not limited to Media Mix Modeling, TV viewership predictions, and reach / frequency optimization, is a plus, but not required for the role. In this role you will work with, and guide, other data scientists on a variety of projects and interface directly with our engineering, media strategy, and channel data science teams. As a Director of Data Science, you will drive forward some of our most difficult data science projects and be expected to be a true technical leader, able to build production level products from start to finish. This role will not have direct management responsibilities but you will serve as a mentor for data scientists across the organization. WHAT YOU'LL DO Developing new techniques (e.g., ML models, optimization algorithms, and automation) to improve Known IP and create tools for Known's clients Working with other data scientists and engineers to productionalize new tools Managing the ingestion and cleaning of new datasets relevant to your work / projects Mentoring other data scientists on our team Speaking to clients to understand business needs and communicate back results / solutions WHO YOU ARE AND WHAT YOU HAVE A Masters or PhD from a well-regarded college or university. STEM degrees are preferred. 7+ years of hands-on experience doing quantitative analysis, modeling, optimization and/or statistics. Experience utilizing Python and SQL. 5+ years of experience building data science software Experience in advertising or advertising technology is a plus Skills, abilities, and knowledge Superb communication and presentation skills An ability to translate abstract business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others' work Experience working on a tech team, with experience in cloud technologies, version control, etc. Competencies Ability to prioritize time, work and effort while multitasking on multiple projects Desire to mentor and teach others Collaborative attitude Self motivated and exhibits initiative Willing & able to learn quickly Abundant intellectual curiosity and integrity SOME OF OUR PERKS Unlimited paid time off 401k with company matching and no vesting period Annual bonuses Generous medical plan Paid parental leave ONE LAST THING TO ASK YOURSELF All this might sound great, but you're probably still wondering, "Would I be a good fit for Known?" or "Would Known be a good fit for me?" Our culture is propped up by four values that we aspire to every day: We are one team. We see the good. We never stop learning. There's always a better way. At Known we are setting out to build something more than just a company. We are building a legacy filled with exceptionally talented people with a kaleidoscope of backgrounds, experiences, and origin stories who feel encouraged and empowered to bring their whole selves to work, and to partner with us in molding and shaping our culture through our values. Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class. The base salary for this position is $180K-$200K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits. #LI-DNI

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.

Job Description WhoWe Are: Night Market's, the commerce affiliate of Horizon Media, is a technology driven organization that helps advertisers gain a better understanding of the changing eCommerce landscape and ignite innovation around ways to plan, manage, and optimize eCommerce media, providing data-driven insights that inform brands' entire eCommerce strategy to drive desired business outcomes. Our end-to-end optimization platform, NEON, uses an ensemble of advanced models to provide macro (budget rebalancing across channel-tactic level) and micro (in-tactic detailed maximization using proprietary methods) optimizations to holistically improve performance. This fulltime opportunity is for a talented data scientist to work on client-related services in the area of creative experience analytics, eventually transitioning these capabilities into the NEON product. Job Summary: Prior experience working at a marketing agency and/or a consulting firm on a marketing data science, advanced analytics development, and/or user behavior or engagement team is required. Role will require editing and creation of smart models for client deliverables and within the NEON platform. In this role, the candidate will work with other Commerce Experience (CX) and NEON team members across client success, engineering, product, and data engineering. Role will require hands-on programming skills. The projects this position will work on include (but are not limited to) a range of creative artificial intelligence (AI) use cases such as: creative trend projection, multivariate creative and A/B testing, creative copy optimization, conversion rate optimization, creative asset management/versioning, image/video classification and object detection, custom audience segmentation, predictive scoring using categorical or labelled datasets, and targeting strategies. This level of the position and the rate for this position will be commensurate with experience. What You'll Do / Responsibilities Create and elevate current analytics methodology, build a replicable statistical framework, within the constructs of a composable analytics framework and the NEON platform Model outputs and inputs, working with the Data Engineering team to assure data processes are automated and efficient Work alongside product leads, business leads, data scientists, data engineers, front-end developers, and designers Incorporate multiple 3rd party APIs & other datasets from different sources, into one (or more) custom-developed measurement and display systems. Demonstrated ability to extract business insights from large datasets and use them to drive business change Mine, aggregate and analyze data from databases to drive optimization and improvement Familiarity of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, computer vision techniques, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Help build and validate requirements and use cases between the core NEON team and the CX team. Evaluate external AI solutions for their modeling and predictive strength, that may be pertinent to the CX use cases to complement NEON featureset in addition to ones being built in the ensemble of models. Who You Are: At least 7 years experience in Machine Learning client analytics role Experience in working with client services teams and communicating technical findings directly with client technical team members. Domain expertise in the area of creative analytics and creative and/or conversion rate optimization strategies Deep expertise in Python (and libraries), R, SQL Ability to operate in Snowflake, AWS infrastructure of S3/EC2, etc Proven experience to interact in a collaborative fashion with Product Management from analytic conceptualization, through hands on exploratory data analysis (EDA), piloting and production rollout within performant backend APIs Independently motivated to conceptualize and execute proactive client analysis Existing skill sets in machine learning, computer vision and product development Communication skills and an ability to collaborate with clients Hold an undergraduate degree in math, statistics, computer science or other technical degree Superb problem synthesis and communication skills Keen attention to detail and data integrity The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer. #LI-HYBRID #LI-KG1 #HMNM Horizon Media is proud to be an 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, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Salary Range $170,000.00 - $200,000.00 A successful applicant's actual base salary may vary based on factors such as individual's skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.

ABOUT OPORTUN Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. SUMMARY: We are growing our world-class team of mission-driven, entrepreneurial Data Scientists who are passionate about broadening financial inclusion by untapping insights from non-traditional data. Be part of the team responsible for developing and enhancing Oportun's core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score. In this role you will be on the cutting edge working with large and diverse (i.e., data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, take-up rates and fraud. You will also drive growth and optimize marketing spend across channels by leveraging alternative data to help predict which consumers would likely be interested in Oportun's affordable, credit building loan product. RESPONSIBILITIES: Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management, and provide frictionless customer experience for various products and services Oportun provides. Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules. Build model deployment platform which can shorten the time of implementing new models. Build end-to-end reusable pipelines from data acquisition to model output delivery. Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management. Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to facilitate the Model Governance Activities such as Model Validations and Monitoring. Lead, coach and partner with the DS and non-DS team to deliver results QUALIFICATIONS: A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner Master's degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor's degree with significant relevant experience will be considered). Hands on experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression and Neural Network to solve real world problems 12+ years of hands-on relevant experience with data extraction, cleaning, analysis and building reusable data pipelines; Proficient in SQL, Spark SQL and/or Hive. 12+ years of relevant experience in leveraging modern machine learning toolset and programming languages such as Python. Excellent written and oral communication skills Strong stakeholder management and project management skills Comfortable in a high-growth, fast-paced, agile environment Experience working with AWS EMR, Sage-maker or other cloud-based platforms is a plus Experience with HDFS, Hive, Shell script and other big data tools is a plus #LI-PR1 #LI-Remote We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/ . We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI's Internet Crime Complaint Center (IC3).

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.

About CookUnity Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role Managers at CookUnity partner with other leaders across the organization to build teams, develop individuals, and bring analytical excellence to help drive the iterative product lifecycle. They're also experts in their areas, using their knowledge and experience to create the space for others to succeed whilst maintaining 70/30 hands-on to contribute directly to our learning and growth. They embed within teams they support, achieving a marriage of minds with their stakeholders and an integration of objectives and workflows of. They work across the team with business, product, and marketing managers, to create data about user behaviors, discover unmet needs, set metrics that measure performance, and design & execute experiments to generate learnings and evidence their success. Where needed, they leverage machine learning methods as the basis of even deeper insights, uncovering patterns in user behavior that the human mind simply cannot process (e.g. through unsupervised learning). We're looking for a Manager, Growth Data Science & Analytics, with a focus on growth, eater activation, and resurrection to join our team. As a result of your guidance and strategic direction, you'll help advance our Growth team's capabilities, applying scientific rigor to inform, strategize, and optimize our already steep growth trajectory. What you'll do Lead and mentor a high-performing team of Marketing analysts, fostering their professional development, collaboration, and analytical expertise Conduct in-depth analysis of marketing data from diverse sources, including digital, offline, social media, CRM, and brand, to identify actionable insights and trends Develop and implement sophisticated statistical models and forecasting techniques to evaluate marketing performance, predict outcomes, and optimize marketing investments Collaborate closely with Marketing partners on leveraging advanced analytics solutions, including MMM, MTA, and LTV optimization, ensuring data-driven decision-making across marketing initiatives Communicate complex insights clearly and persuasively to senior leadership, providing data-driven recommendations to improve business performance and collaborating with Marketing leads to develop growth strategies Core Competencies Experience developing and working with marketing measurement solutions, including MMM and MTA models, causal inference, forecasting, LTV, churn, and segmentation Experience across Brand and Performance Marketing measurement High autonomy in partnering with non-technical stakeholders with strong communication skills at various levels High autonomy in executing to produce insights using data with expert proficiency in SQL, Python/R, and Tableau/Looker High agency and growth mindset Year of experience 5+ years of experience in Marketing Analytics managing complex analytics projects At least 2 years managing teams of analysts and data scientists At least 2 years in a growth team (in any capacity) Benefits Health Insurance coverage 401k Plan We grow, you grow: Stock Options Plan granted on Day 1 Eligible for a bi-annual performance bonus Unlimited PTO ️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical Family leave: 12 weeks for primary caregiver and 6 weeks for secondary caregiver, fully paid Compassionate Leave: 3-5 days each time the need arises A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly ️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle Personalized Spanish coach Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $190,000-$200,000 USD If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

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.

At Collective Health, we're transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. About the Role We are seeking a visionary and hands-on Director of Data Science to lead our data science initiatives, drive innovation, and unlock the value of data to improve healthcare outcomes, operations, and strategic decision-making. This individual will oversee the development and deployment of advanced analytical models and machine learning solutions across multiple business units. A background in healthcare is strongly preferred, as a deep understanding of clinical, claims, or operational healthcare data will be critical to success. What you'll do: Strategic Leadership Define and execute the organization's data science strategy aligned with business goals. Serve as a thought leader in AI/ML and advanced analytics, driving innovation and long-term value creation. Partner with stakeholders across clinical, operational, product, and technology teams to deliver impactful data solutions. Data Science Development Lead the design, development, and deployment of machine learning models and advanced analytics solutions. Champion the use of AI/ML in predictive modeling, natural language processing, and other healthcare use cases. Guide model validation, monitoring, and performance optimization practices. Team Management Build and manage a high-performing team of data scientists, ML engineers, and analysts. Provide mentorship, career development, and technical leadership to team members. Promote a culture of experimentation, continuous learning, and ethical AI use. Healthcare Data Application Apply data science to real-world healthcare challenges, such as patient risk stratification, readmission prediction, cost forecasting, and clinical decision support. Utilize structured and unstructured data from EHRs, claims, registries, wearables, and other healthcare data sources. Stay current on industry trends, standards (e.g., FHIR, ICD-10, CPT), and regulations (e.g., HIPAA, HITECH). Governance & Collaboration Establish standards for model governance, reproducibility, and compliance. Collaborate with data engineering and analytics teams to ensure data quality and infrastructure readiness. Translate complex data insights into clear business recommendations for executive leadership. To be successful in this role, you'll need: Required: Master's or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. 10+ years of experience in data science or machine learning, with at least 3 years in a leadership or management role. Proven experience applying advanced analytics to solve complex business problems. Strong proficiency in programming language like Python or R, SQL, Experience with deep learning frameworks (e.g. TensorFlow, PyTorch.) Deep understanding of cloud-based data platforms (AWS, Azure, or GCP). Prior experience of building, maintaining, and improving machine learning models (neural networks, logistic regressions, boosted trees, k-means clustering, Keras, scikit-learn, XGBoost, PyMC3 etc.) Experience with Knowledge Graphs, retrieval augmented generation (RAG), Large Language Models (LLMs), Search etc Extensive experience with BI tools like Looker, Tableau, or PowerBI Excellent communication skills, with the ability to translate technical concepts into strategic business value. Preferred: Background in healthcare, with experience working with EHR, claims, population health, or clinical outcomes data. Experience with healthcare-specific applications like risk adjustment, utilization management, or patient engagement. Familiarity with HIPAA, healthcare compliance, and ethical AI practices. Pay Transparency Statement This is a hybrid position based out of our San Francisco office, with the expectation of being in office at least two weekdays per week. #LI-hybrid The actual pay rate offered within the range will depend on factors including geographic location, qualifications, experience, and internal equity. In addition to the salary, you will be eligible for stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/ . San Francisco, CA Pay Range $226,085-$283,250 USD Why Join Us? Mission-driven culture that values innovation, collaboration, and a commitment to excellence in healthcare Impactful projects that shape the future of our organization Opportunities for professional development through internal mobility opportunities, mentorship programs, and courses tailored to your interests Flexible work arrangements and a supportive work-life balance We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance, please contact recruiting-accommodations@collectivehealth.com. Privacy Notice For more information about why we need your data and how we use it, please see our privacy policy: https://collectivehealth.com/privacy-policy/ .

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

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'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.

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. What You'll Bring: 10+ years of professional experience performing applied data science or analytic consulting work in Financial Services, consumer credit, or a related industry 5+ years in team management and leadership roles with increasing complexity and responsibility Master's or PhD degree in statistics, data science, business analytics, applied mathematics, financial mathematics, engineering, operations research, computer science or another highly quantitative field. A track record of academic excellence Deep, hands-on expertise applying machine learning, statistical inference, and predictive modeling methods in a commercial setting Proficiency in one or more analytic languages (R, Python) Proven ability to architect and engineer machine-learning pipelines with online / real-time features Current knowledge of and strong interest in consumer credit trends and dynamics. Ability to speak authoritatively with customers on relevant topics Ability to collaborate with customers to frame and define ill-structured problems and design effective solution approaches An excellent oral and written communicator with highly technical and non-technical TU leaders, partners, and customers. A proven ability to establish rapport, persuade others, ask insightful questions, and promote understanding across all levels of the organization. Substantial prior experience making formal presentations to large and senior-level groups, as well as in smaller and less formal settings Availability to travel up to 25%. We'd Love to See: Consultative approach to decision-making, ability to gather and synthesize multiple perspectives Aptitude and passion for design of highly effective processes Proficiency in one or more general-purpose programming languages (C/C++, Java), follows software engineering best practices to generate performant and implementable code Experience manipulating large datasets in SQL Experience with big data frameworks (Spark, Redshift, BigQuery, Hadoop, Ab Initio) Experience with cloud computing (AWS, GCP) Experience serving highly regulated industries Familiarity with credit bureau data and business practices Impact You'll Make: The DSA Argus leader drives core components of TransUnion Argus strategy as part of the DSA Financial Services Consulting department. This leader will manage a full capability stack, and in close collaboration with matrix partners across multiple business units they will: Lead the development of models and solutions using machine learning, statistical analysis, mathematical modeling, and artificial intelligence techniques to predict and measure outcomes and consequences. Establish and enforce best practices in the design and development practices for the aforementioned models, including rigorous management of a robust, scalable codebase, collaboratively with other DSA leaders. Proactively participate in the development of operating policies and procedures of significant scope and complexity to promote operational excellence across Data Science & Analytics. Advocate for productivity-enhancing operating procedures and technologies. Cultivate and maintain strategic partnerships and customer relationships, including via actionable, data science consulting that spans the lifecycle from issue discovery through solution development, deployment, and governance. Support Sales and Argus Advisory Services in demonstrating efficacy and value, arming client-facing associates with tools to help drive adoption and revenue Work with the Solutions organization to propose, prioritize, design, develop and take to market new products, including generic scores, derived from Argus consortium data. Curate a robust repository of internally and externally sourced analytic data assets, constructing pipelines, preserving data quality, implementing appropriate privacy and compliance controls, maximizing utility for a broad and growing set of use cases, maintaining a complete data dictionary, and publishing relevant insights. Lead the design, management and automated production of custom insights for Argus consortium members. Maintain current knowledge of relevant machine learning research, open-source tools, commercial software, and competitors' offerings. Maintain knowledge and ensure compliance with regulatory and contractual requirements pursuant to minimizing legal risks in the management of Argus consortium data. Contribute novel methods and research findings to TransUnion's growing intellectual property (IP) portfolio, potentially including patents. Assemble, maintain, and lead a geographically dispersed, high-performing team with specialized domain and technical expertise in accordance with DSA global standards. Eliminate constraints to cross-team collaboration and integration. Promote the cross-team propagation of successful ideas and approaches. Evangelize the team's unique capabilities, regularly developing and delivering thought leadership content in conjunction with broader DSA capability marketing efforts, in collaboration with matrix partners in Marketing and Solutions Marketing. Advise sponsors and stakeholders on the capabilities and potential value of proposed vendors, partners, and acquisition targets, including commercial and open-source software tools and frameworks. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Pay Scale Information : The U.S. base salary range for this position is $187,500.00 - $312,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Director, Data Science and Analytics

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Pharmaceuticals USA, Inc. for the following job opportunity: JOB LOCATION: Lexington, MA POSITION: Data Science Engineer POSITION DESCRIPTION : Takeda Pharmaceuticals USA, Inc. is seeking a Data Science Engineer with the following duties: Design, build, and maintain scalable and reliable data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources (e.g., sales, marketing, patient data, healthcare providers, etc.); Ensure seamless data integration between internal systems (CRM, ERP, financial systems) and external healthcare/pharma datasets (IQVIA, Symphony, Veeva, etc.); Automate data ingestion and transformation processes using ETL/ELT tools; Define data engineering techniques and best practices for data transformation, data integrity, test design, validation, and documentation; Integrate commercial data (sales, claims, prescription, payer data) with internal data sources (MDM, marketing campaigns, sales force activities, etc.) for better business insights; Collaborate with data analysts, data scientists, and business intelligence teams to understand data requirements and translate them into scalable data solutions; Regularly review and improve data processing efficiency, addressing bottlenecks in data pipelines and ensuring system reliability; Developing chatbots and virtual assistants (e.g., using GPT-4 or AWS Bedrock) to support field sales teams, HCP interactions, or customer service, automating responses to frequently asked questions, or personalizing HCP engagement. Up to 50% remote work allowed. REQUIREMENTS: Bachelor’s in a Computer Science, Information Systems, or data related field plus 5 years of related experience. Prior experience must include: Work as Data Engineer Consultant for major U.S. Healthcare industries for 5 years; Lead a data team in migrating commercial healthcare data across multiple countries from Salesforce to Veeva application for a major U.S. biotech company; Design data pipelines using Unix Shell scripts, Oracle PL/SQL to help a major U.S. biotech company launch their new product and implement a new REMS module in TrackWise, as required by FDA; Implement the Reltio MDM process across multiple countries for a major U.S. healthcare company, enhancing data management efficiency and ensuring uniformity, accuracy, and improved data quality. Full time. $153,000 - $228,000 per year. Competitive compensation and benefits. Qualified applicants can apply at https://jobs.takeda.com . Please reference job # R0149630 . EOE Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210. Locations Lexington, MA Worker Type Employee Worker Sub-Type Regular Time Type Full time

Who We Are International Justice Mission (IJM) is the global leader in protecting vulnerable people from violence around the world. Our team of over 1,200 professionals are at work worldwide in over 30 offices. Together we are on a mission to rescue millions, protect half a billion, and make justice unstoppable. We are a global community that cares for one another. We believe that the way we work is as important as the results we achieve. We provide professional excellence with joy and celebration to all those we serve. The Need For over 25 years, IJM has pioneered the work to protect vulnerable people from violence. 9 out of 9 times in the last decade, IJM’s Justice System Strengthening Projects have reduced slavery and violence between 50 and 85% for very large populations of people in poverty. As we grow to expand our impact to protect 500 million people from violence, we are seeking a Data Science Intern to join the 2025 Fall Internship class. The Data Science Intern will support various initiatives executed by the Global Measurement Team , whose goal is to provide leadership, direction, and services on mea surement and program management to our colleagues and partners. The Data Science Intern will help the Global Measurement Team work with program teams to identify opportunities where data can drive greater impact. Tasks may include: Support developing software processes for automating data clean up in research datasets; Support executing data trainings, workshops, and brainstorm sessions; Working with data from multiple internal and external data sources; Conducting surveys on AI-use; Participating in departmental and general IJM administrative support. This position can be fully in-person or hybrid (onsite Tuesdays & Thursdays) in the Washington, DC area or remote for non-local candidates. It reports to the Sr. Specialist, Data Science . The position requires 30- 40 hours per week. Fall internship program dates are Sept. 15 – Dec. 12, 2025 . General Qualifications and Required Skills Bachelor's degree must be in progress for DC/Remote Internships and applicants need to have completed at least two years of undergraduate study. Experience in community engagement. Experience with project management and administrative support. CRM experience a plus. Excellent written and verbal communication skills. Critical Qualities Mature orthodox Christian faith; Humble and resilient; Pursues excellence; Culturally aware and appreciative of difference; Strong service ethic; Innovative problem solver; Ability to build trust and strong partnerships with others; Courageous in pursuing opportunities and challenges; Tenacious in achieving goals; and Professional. Application Process: Upload Resume, Cover Letter & Statement of Faith* in one PDF document . *What is a statement of faith? A statement of faith should describe your Christian faith and how you see it as relevant to your involvement with IJM. The statement can either be incorporated into the cover letter or submitted as a separate document and should include, at a minimum, a description of your spiritual disciplines (prayer, study, etc.) and your current fellowship or place of worship. IJM holds strict safeguarding principles and a zero tolerance to violations of the Safeguarding Policy, Protection against Sexual Exploitation, Abuse and Harassment Policy, and Code of Ethics. Candidate selection is based on technical competence, recruitment, selection and hiring criteria subject to assessing the candidate’s value congruence and thorough background, police clearance, and reference check processes. At IJM, we’re committed to building a diverse workforce through fair and equitable employment practices. IJM encourages people of any race, color, age, sex, marital status or political ideology to apply for employment. While we welcome everyone into this work, we truly believe that the work we are doing is God’s work, not our own, and practice spiritual disciplines together daily. That’s why we legally require under SEC. 2000e-1 [Section702] of Title VII of the Civil Rights Act of 1964 that all employees practice a mature orthodox Christian faith, as defined by the Apostles’ Creed. IJM requires a background check, police clearance and thorough review of references with an employment offer and/or employment contract. #LI-BR1 #LI-Hybrid #LI-Remote

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Genedata , one of Danaher’s 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact . You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life. The biopharmaceutical industry is undergoing a digitalization revolution, adopting data-driven R&D approaches to develop innovative therapies quicker. Genedata’s market-leading enterprise software is fueling this revolution, enabling leading biopharma, biotech, and CRDMO companies worldwide to automate processes and leverage biopharma R&D data analytics so they can find breakthrough therapies faster. Join this digital transformation and help scientists around the world accelerate the pace of biopharma R&D. Learn about the Danaher Business Syste m which makes everything possible. About The Role Are you a translational, (pre-) clinical research scientist, or data scientist working for a biopharma organization or CRO, wanting to make a real impact on patient care? We are seeking to grow our highly innovative and interdisciplinary team in our East Coast Office and offer an exciting opportunity to support, shape, and promote a successful, cutting-edge software system widely applied in biopharmaceutical research. As an Application Scientist for the Genedata Profiler platform, you will be a key member of our dynamic team, empowered to have a significant impact on the continuous growth of our business. You will work with our partners in research across the entire drug R&D value chain, achieving their vision of precision medicine through leveraging the full power of clinical, phenotype, molecular, and imaging data. This includes consulting our customers to optimize their scientific data analysis workflows and using your scientific and technical knowledge to solve real-world scientific challenges. This full-time position is based in Lexington, MA and requires regular travel within the U.S. (about twice per month), and occasional travel to Europe. The salary range for this role is $80,000 to $130,000 . This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay. Your Responsibilities Be the scientific expert related to multi-omics, biomarker, imaging, clinical data analysis in general and the use of our Genedata Profiler software in particular, Support Genedata Profiler implementation projects through user engagement, consulting, business process analysis, and solution design, Work with our Business Development team in establishing and communicating the value of Genedata Profiler to prospects and customers, Scope and perform customer data science projects and ensure results delivery at the level of excellence that our customers know us for, Identify new business opportunities in collaboration with the business team, Establish relationships with our customers by being their first contact and a partner on scientific and technical matters, Channel the insights gathered through your customer interactions back to our Development and Product Management team. Skills & Experience PhD or MS in bioinformatics, data sciences, health sciences, or related discipline, 3+ years’ experience in biomarker research, patient stratification, or companion diagnostic approaches, ideally working at a CRO, in a clinic or a pharmaceutical company, Solid experience working with phenotype, exploratory clinical, biomarker, and molecular data in research, Understanding of statistics and specific methods applicable to ‘omics and integrated research data, Presentation and communication skills: Present complex scientific and basic IT concepts to a multitude of stakeholders in training, workshop, or sales situations, Experience with scripting languages (preferably Python, R), Knowledge of pharmaceutical research and familiarity with biopharma research and development processes, Highly motivated self-starter with exceptional interpersonal and communication skills within a cross-functional environment, Entrepreneurial spirit with the ability to interact productively with scientists, managers, and IT experts both internally and externally as part of an interdisciplinary team. Must be legally authorized to work for any employer in the U.S. What We Offer Genedata is on a mission to accelerate the pace of biopharma R&D. Our enterprise software solutions digitalize and automate lab operations so scientists can discover insights faster, push scientific boundaries farther, and drive change right now. With over two decades of success due to closely-knit teams of scientists, software engineers, and business experts, Genedata has become the market-leading provider of enterprise software solutions for biopharma R&D. Each employee is encouraged to contribute to the operations and evolution of the company. Our collective expertise in scientific R&D informatics, combined with our open and scalable software platform, makes us the essential technology for the operations of top biopharma companies and innovative biotechs worldwide. We are headquartered in Basel, Switzerland and have subsidiaries in the US, Germany, UK, Japan, and Singapore. Genedata offers an attractive Total Reward Package comprised of a competitive salary and attractive benefits in return for your contribution to our success. As an equal opportunity employer, Genedata proudly celebrates diversity and believes in an inclusive workplace. Genedata , a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. Next Steps Genedata does not accept applications from recruitment agencies. If you are interested in this position, please apply directly here. Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes. The EEO posters are available here . We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us at applyassistance@danaher.com to request accommodation.

THIS POSITION WILL REPORT TO OUR CHANDLER OFFICE LOCATION... The Director of Data Science & Analytics will lead StrongMind's enterprise-wide data strategy and analytics capabilities, playing a pivotal role in driving data-informed decision-making across StrongMind, Primavera Online Charter School, and Verano Learning Partners' affiliated non-profit organizations. This strategic leader will harness the power of data and artificial intelligence (AI) to foster innovation, improve educational outcomes, and empower business transformation. Key Responsibilities Strategic Leadership Design and implement a comprehensive data and AI strategy aligned with StrongMind's educational mission and business objectives. Partner with cross-functional executives to integrate data science and AI into decision-making and strategic planning. Translate complex educational and operational datasets into actionable insights that drive value and efficiency. Establish and lead data governance frameworks, in collaboration with C-Suite leadership, to ensure data quality, compliance, and security. Data Infrastructure & Architecture Provide hands-on leadership in building and maintaining a modern, scalable data architecture and AI agent infrastructure. Drive seamless integration of data from diverse systems and platforms to create a unified data environment. Build and maintain ETL/ELT pipelines and real-time analytics capabilities that support data-driven operations. Enable AI and machine learning applications through robust data infrastructure and automated workflows. Analytics & Reporting Ensure compliance with reporting requirements from the Arizona Department of Education and the State Board for Charter Schools. Responsible for owning the data pipeline end-to-end, from ingestion through transformation and all the way to reporting. That will help set expectations around accountability and technical depth. Support finance with automated reporting for enrollment, onboarding, retention, and forecasting. Lead development of teacher performance dashboards and key educational metrics. Identify data literacy gaps across the organization and design strategies and tools to address them. Oversee the collection, analysis, and communication of key metrics across all business and educational entities. Cross-Functional Collaboration Serve as a strategic liaison between executive leadership and technical teams to align data and AI initiatives with business goals. Collaborate with Operations, Development, and Product teams to embed analytics and AI into solutions and services. Advise senior leaders on leveraging AI and advanced analytics to drive innovation and continuous improvement. Participate in cross-functional planning and project coordination to ensure data and AI capabilities are integrated across departments. Minimum Required Skills 4+ years of advanced SQL experience (must be comfortable writing complex queries; Snowflake experience a plus) 2+ years of hands-on dbt experience in production environments 4+ years working with messy, dirty, or unstructured data with demonstrated expertise in data cleansing and transformation. Strong understanding of data modeling, pipeline architecture, and owning the data journey end-to-end (from ingestion through to reporting) Preferred Tools and Technologies Cloud Platforms : AWS (e.g., Redshift, S3, SageMaker), Google Cloud, or Azure Data & Analytics : Snowflake, Power BI, Tableau, Looker Languages & Frameworks : Python, SQL, R, PySpark, dbt AI/ML Technologies : TensorFlow, scikit-learn, LangChain, OpenAI API, Vertex AI Data Engineering & Orchestration : Airflow, Kafka, Fivetran, dbt, Databricks Version Control & DevOps : GitHub, CI/CD pipelines, Docker, Kubernetes "More Than a Workplace – A Place to Belong!" At StrongMind/Primavera , we believe that work should be fulfilling, rewarding, and even fun! That’s why we offer a supportive , collaborative environment filled with perks that prioritize your well-being —from an onsite gym, personal trainers , and mindfulness coaching to weekly massages to help you reset. We also offer a full benefits package including medical, dental, vision, PTO, and voluntary benefits, because taking care of you is important. And our workplace culture ? It’s second to none! What You’ll Love: A full paid holiday week at Christmas – time to rest, relax, and recharge. Weekly team celebrations & shoutouts – because your hard work matters! Quarterly town halls – keeping communication open, honest, and transparent. Champion spotlights – celebrating those who make a difference. Flexible & hybrid work options (for select roles) – work-life balance is key. Delicious perks – cookouts, Thursday treats, and awesome social events. Community service hours – giving back feels great. Legendary milestone awards at 10, 15, & 20 years – unforgettable experiences await! Plus, even more benefits to explore – because we believe in rewarding our people in meaningful ways. We’re more than just a workplace—we’re a community that celebrates you. Join us and experience a company that truly cares. We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas. The company will provide equal consideration to all qualified applicants for employment without regard of race, religion, color, sex, gender, national origin, age, veteran status, marital status, or disability protected by law. 5/20/2025 JD updated

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.