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

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

Site Name: USA - Maryland - Rockville Posted Date: Jun 11 2025 The Manufacturing Science and Technology (MSAT) organization is a site-based technical team responsible for ensuring manufacturing processes are capable, compliant and productive while maintaining product quality. The site MSAT team is also responsible for delivering continuous improvements to the existing supply chains supported at the Rockville site and working with global MSAT implement process-related improvement programs across the product lifecycle. The Associate Director, Manufacturing Data Science serves as the site MSAT leader in the data and analytics space, supporting site initiatives and implementation of smart manufacturing principles in collaboration with the site digital and analytics teams and driving innovative solutions to complex technical problems. He or she will lead a team of data scientists and engineers to facilitate delivery of product and process data solutions in biologics manufacturing environment. This team will leverage data as a key asset to accelerate technology transfer and simplify validation processes, support continuous improvement for established commercial processes, and enhance technical understanding of biopharmaceutical manufacturing. The role will be expected to support technical development of the MSAT organization, promoting technical and leadership capability to develop a high performing MSAT team and improving the data literacy and capability of the MSAT organization. This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following… Serve as the technical leader for data science and analytics capabilities for the MSAT team at Rockville Biopharm Accountable for the development and deployment of the strategic data and analytics plan for the Rockville MSAT Team, in collaboration with other site and central digital and analytics teams Lead a team of scientist and engineering to provide sound data analysis through several statistical methods in support of deviations, investigations and RCA Develops capability roadmaps for the newly formed Digital and Data Analytics Team Questions status quo and develop novel approaches to data mining Perform on a daily basis a wide array of biostatistical and data science techniques: multivariate analysis, machine learning and basics statistical analysis and visualization Drive innovation through leading continuous improvement for technical processes or systems and championing introduction of novel technologies, including new modeling platforms and approaches (first-principle modeling, CFD, machine learning), digital systems and visualizations, and process analytical technologies (PAT) Manages relationships with key internal (i.e. digital, data, analytics, production, engineering, quality) and external (i.e. central and external MSAT teams, tech, R&D) partners to deliver technical objectives and implementation of novel data and analytics platforms and technologies Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Bachelors degree with 12+ years post-graduate experience in the Biopharmaceutical/pharmaceutical industry or equivalent with significant emphases on digital, data, and analytics OR MS or PhD with 10+ years post-graduate experience in the Biopharmaceutical/pharmaceutical industry or equivalent with significant emphases on digital, data, and analytics In-depth experience with digital, data, and analytics techniques in the pharmaceutical industry Experience biopharmaceutical manufacturing (upstream / downstream) is required Familiarity and experience with relational databases, statistical software (i.e. SAS, SIMCA, JMP or WebStatistica), modeling and visualization software (i.e. Python, R, Matlab, MS Power) Experience of developing or applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection Experience with manufacturing / engineering environments including systems such as IP-21, M-ERP, LIMS, Aspen eBRs Knowledge of GMPs and major regulatory agency regulations, specifically as they relate to data science or data validation Preferred Qualifications: If you have the following characteristics, it would be a plus: MS or Ph.D. in data/computer science or engineering, biological or chemical science or engineering or equivalent technical discipline Strong interpersonal and leadership skills to manage a technical team and cross-functional teams. Prior experience managing a team or matrix team preferred Strong verbal and written communication skills particularly in the area of technical and regulatory related matters. Able to present data science / statistical methods to non-statistical team members Able to interact well with peers, subordinates, and senior personnel in scientific, quality, engineering and operational disciplines. Embraces a team-based culture Demonstrates initiative to solve problems, effective at making and implementing decisions #LI-GSK The annual base salary for new hires in this position ranges from $136,125 to $226,875 taking into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

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.

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

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

We are PMG Named Ad Age Best Places to Work for 10 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. Who You’ll Be Working With At PMG, our Data Science team is at the core of transforming complex data into strategic insights that drive smarter marketing, media, and business decisions. We don’t just analyze numbers—we build predictive models, develop automation, and refine AI-driven solutions that help brands optimize performance, personalize experiences, and maximize impact across digital channels. You’ll collaborate with engineers, analysts, media strategists, and product teams, applying advanced data science techniques to enhance targeting, improve measurement, and develop next-generation marketing intelligence. Whether it’s training machine learning models, engineering scalable data pipelines, fine-tuning optimization algorithms, or advancing AI-driven marketing strategies, your expertise will help brands connect with the right audiences, at the right time, with the right message—more efficiently than ever before. Beyond execution, you’ll play a key role in exploring emerging AI technologies, refining data science methodologies, and shaping the future of predictive analytics and automation. You’ll have opportunities to test new approaches to measurement, integrate deep learning into decision-making processes, and experiment with AI-powered media solutions that redefine what’s possible in digital marketing. At PMG, we don’t just respond to industry trends—we set them, ensuring our clients stay ahead in a rapidly evolving, data-driven world. As Head of Data Science, you'll have the opportunity to tackle complex challenges, lead AI-driven innovation, and turn analytics into meaningful business and marketing outcomes. What You Will Do Develops and champions the long-term (3-5 year) strategic vision and execution roadmap for a broad data science organization, ensuring alignment with PMG’s overarching business strategy and market leadership goals. Leads and mentors a team of Data Science Directors and/or Senior Managers, fostering a culture of high performance, strategic thinking, innovation, and impactful leadership across multiple teams. Accountable for the P&L or substantial budget of a large data science practice, driving revenue growth, cost efficiencies, and measurable ROI from AI/ML initiatives. Directs the incubation, scaling, and enterprise-wide adoption of cutting-edge AI/ML capabilities (e.g., federated learning, large-scale reinforcement learning, advanced knowledge graphs) that create significant competitive differentiation. Serves as a primary advisor to C-suite executives on AI/ML strategy, investment, and risk, translating complex technological possibilities into clear business implications and strategic opportunities. Builds and cultivates C-level relationships with key clients and strategic partners, acting as an executive sponsor for critical data science engagements and driving new business at a strategic level. Establishes and governs enterprise-level policies for AI ethics, data governance, model risk management, and regulatory compliance, ensuring responsible and secure AI deployment at scale. Represents PMG's AI/ML thought leadership and capabilities at premier industry events, in influential publications, and with key industry analysts, shaping market perceptions and attracting top talent. Drives organizational design, talent strategy, and succession planning for a significant segment of the data science function, ensuring a robust pipeline of future leaders and technical experts. Oversees the most critical and complex AI/ML programs, ensuring they deliver transformative business outcomes and set new standards for excellence in execution. Stay current with emerging data science–focused Python libraries and apply them effectively to develop models and business-impactful solutions. What you will Bring: 20+ years of experience in data science, including 10+ years of leadership experience, with a bachelor’s degree or equivalent work experience. Proven ability to lead and scale data science programs across complex organizations, translating strategic objectives into high-impact analytical initiatives. Deep expertise in machine learning, causal inference, and statistical modeling using Python, R, and advanced analytics frameworks. Strong fluency in experimentation design, forecasting, and measurement strategies to guide product and business decision-making. Skilled in collaborating with engineering and data platform teams to build scalable data infrastructure and production-ready modeling pipelines. Track record of influencing executive stakeholders through clear communication, analytical storytelling, and evidence-based insights. Experienced in building inclusive, high-performing teams, and mentoring data science leaders to foster innovation, growth, and consistency. A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of media innovation while prioritizing client success with a Customer-Focused mindset that seeks opportunities to deliver meaningful value. A dedication to People-Focused leadership, fostering collaboration, innovation, and professional growth by Leading by Example and nurturing strong relationships that empower others to excel. What We Offer Professional Development : Take advantage of our learning and development programs, mentorship opportunities, and career advancement support. Generous Time Off : Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones. Parental Leave : We provide paid parental leave to support your family during important life events. Retirement & Pension Plans : Plan for your future with competitive retirement or pension programs, including contribution matching. Fertility and Family Support : Access fertility benefits for all team members and their spouses. Healthcare : Coverage and support for everyday medical expenses and routine care, tailored by geography. Pet Insurance : Protect your pet's health and your finances. Lifestyle Spending Accounts : Enjoy 100% company-funded accounts to promote healthy habits and well-being. Commuter Benefits : Access support for travel and commuting needs, where available. Annual Bonus : All employees are eligible for an annual bonus. Volunteering Opportunities : Receive 8 give-back hours to volunteer in your local communities. AI Enterprise License : Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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

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

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

Job Description Wentworth Institute of Technology’s School of Computing & Data Science invites applications for an Open-rank Professor or Lecturer in Computer and Data science for FALL of 2025 . Key Responsibilities : Teaching both undergraduate and master’s level computer science and data science courses. Engaging in research and scholarly activity. Performing service to the university and the profession, which includes academic advising, student engagement, and serving on committees. Minimum Requirements : M.S. in Computer Science or related discipline. Demonstrated success in teaching at the undergraduate and graduate levels Demonstrated success with research and scholarly activities related to Computer and Data Science At least 3-5 years of demonstrated practical/ industry related experience. Ability to demonstrate a commitment to working effectively with faculty, staff, and students from diverse ethnic, cultural, and socioeconomic backgrounds Preferred Qualifications : Ph.D. in Computer Science or related discipline. Wentworth seeks to increase the diverse perspectives of its faculty and encourages applications from members of underrepresented groups in STEM (Science Technology Engineering and Mathematics). About Wentworth & SCDS: Founded in 1904, Wentworth Institute of Technology is an independent, co-educational, nationally ranked university offering career-focused education through 24 bachelor’s and 13 master’s degree programs in areas including Computer Science, Data Science, Cybersecurity, Engineering, Architecture, Design, and Construction Management. Wentworth’s mission is to prepare our students for career success through experiential learning. Recent new programs include both a B.S. and M.S. in Data Science, launched in 2023 and 2021 respectively. The School of Computing & Data Science consists of 30+ full-time faculty that offer undergraduate majors in Computer Science, Cybersecurity, IT, Data Science, and Applied Mathematics and graduate degrees in Applied Computer Science, Data Science, and Cybersecurity Analytics. The school has teaching and research strengths in artificial intelligence, data science, cybersecurity, high-performance computing, mobile/web application development, stochastic processes, dynamical systems, financial math and modeling. In addition, members of the school have close collaborative relationships with faculty in sciences, humanities, and electrical and computer engineering, among others. Application Procedures: Review of applications will begin January 20, 2025 and will be accepted on a rolling basis. Please complete application by submitting the following attachments: Cover Letter – Please ensure your cover letter is your original work and addresses how you and Wentworth are a good fit. Curriculum vitae Teaching Statement – Please ensure your teaching statement is your original work and addresses how you engage students similar to the Wentworth students. Research Statement - Please ensure your research statement is your original work and addresses your past research and what you see yourself working on at Wentworth. Diversity Statement – Please ensure your Diversity statement is your original work and addresses how you have contributed to diversity in your past. Inclusive Excellence at Wentworth Wentworth Institute of Technology is committed to diversity, equity, and inclusion in all University programs and activities. The University does not discriminate based on race, color, national origin, sex, sexual orientation, religion, disability, age, genetic information, gender identity, veteran status or any other category protected by law. All qualified applicants will receive consideration. To find out more about the Wentworth’s commitment to Diversity, Equity and Inclusion, please visit the website https://wit.edu/about/diversity . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu . E-Verify for Employment Eligibility Verification ( Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.

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

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

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

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

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

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? The Analytics Team is responsible for building and maintaining analytics tools and workflows to support the PrizePicks business across all departments — at the core of these operations is data. As a Senior Data Science Engineer, you will be developing, maintaining, testing, and leading projects regarding streaming data and MLOps infrastructures to enable PrizePicks to offer real-time simulation based market pricing within the product. What you’ll do: Create and maintain optimal sport data stream architecture, ensuring data reliability in both speed and quality for both raw and transformed data pipelines. Partner with Data Science to determine best paths for operationalization of DS/ML assets, ensuring model output quality, stability, and scalability. Steer the design, implementation, and deployment of the data, MLOps, and API stack required for real-time pricing models, personalization/recommendations, risk management tooling, and other critical functions by contributing to architecture evaluations and decisions for the evolving data product roadmap. Partner cross-functionally with Engineering, QA, and Product teams to enable the creation and distribution of highly-visible and real-time data products to the PrizePicks platform. Build and own rigorous monitoring, alerting, and documentation processes, and work with Engineering teams to ensure complete feature uptime. Grow as a thought leader in the broader PrizePicks technology org, staying abreast of and implementing novel technologies, and disseminating knowledge and best practices to junior members of the team and collaborators alike. What you have: 5+ years of experience in Backend Engineering/Machine Learning Engineering, shipping and maintaining production-grade systems for internal tools and product users. 2+ years of experience acting as technical lead and providing mentorship and feedback to junior engineers and scientists. Extensive experience exposing real-time predictive model outputs to production-grade systems, leveraging large-scale cloud-based data streaming pipelines and infrastructure. Extensive experience working cross-functionally with data engineering, data science, product, and engineering teams, as well as external data providers and 3rd party services. Experience in most of the following: SQL/NoSQL databases/warehouses: Postgres, BigQuery, BigTable, Scripting languages: SQL, Python, Go, Rust. Cloud platform services in GCP and analogous systems: Cloud Storage, Cloud Compute Engine, Cloud Functions, Kubernetes Engine. Code version control: Git Code testing libraries: PyTest, PyUnit, etc Common ML and DL frameworks: scikit-learn, PyTorch, Tensorflow Modeling methods: classical ML techniques, deep learning, gradient boosting, bayesian methods, generative models. MLOps tools: DataBricks, MLFlow, Kubeflow, DVC. Data pipeline and workflow tools: Airflow, Argo Workflows, Cloud Workflows, Cloud Composer, Serverless Framework. Monitoring and Observability platforms: Prometheus, Grafana, Datadog, ELK stack. Infrastructure as Code platforms: Terraform, Google Cloud Deployment Manager. Other platform tools such as Redis, FastAPI, Docker and data visualization tools such as Streamlit or Dash. Excellent organizational, communication, presentation, and collaboration experience with organizational technical and non-technical teams Graduate degree in Computer Science, Statistics, Mathematics, Informatics, Information Systems or other quantitative field What makes you stand out: Experience building real-time production data science pipelines in a daily fantasy sports or oddsmaking business Where you’ll live: While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical salary range for this position is $160,000 to $220,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Date Posted: 5/6/2025 1st Extension:6/6/2025 Benefits you’ll receive: In addition to your great compensation package, full-time employees will be eligible for the following perks: Company-subsidized medical, dental, & vision plans 401(k) plan with company match Annual bonus Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) Generous paid leave programs, including 16-week paid parental leave and disability benefits Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked Company-wide in-person events and team outings Lifestyle enhancement program Company equipment provided (Windows & Mac options) Annual performance reviews with opportunities for growth and career development You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has Direct Reports & manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 9+ years of experience in business intelligence and analytics Previous people or project team management experience Expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated proficiency in predictive modeling, data mining and data analysis Experience managing and growing team members in a professional setting Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 8 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Job Summary: WHO ARE WE? Live Nation Entertainment is the world’s leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 500 million tickets sold annually and more than 12,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 40,000 shows and 100+ festivals annually for nearly 4,000 artists in over 40 countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect over 1,000 brands with the 98 million fans that attend Live Nation Entertainment events each year. For additional information, visit www.livenationentertainment.com . Live Nation’s Concerts Division is where tours are born, artists come to life, and fans get to experience the rush of live music. From our dozens of owned/operated Amphitheaters to our Global Touring team, from Ticketing and Venue Operations to Marketing and Sales... we foster a fun and upbeat work culture with no shortage of opportunities. With perks ranging from free concert tickets to dog-friendly offices, to progressive benefits like student loan reimbursement and adoption/fertility support... it’s no wonder we are certified as a Great Place to Work organization and one of People Magazine’s “50 Companies that Care”. We want everyone to feel like they belong and can thrive in our community, so we strive to help you achieve your career and personal goals. Live music is our passion and where we find our common ground. There has never been a better time to join Live Nation. WHO ARE YOU? Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! THE ROLE We are seeking a Data Science Intern to join our Chicago-based team to support our analytics, machine learning, and AI initiatives. In this role, you will gain hands-on experience manipulating and analyzing concert and venue data, building machine learning models, and leveraging data intelligence platforms for streamlining workflows and automating processes. WHAT THIS ROLE WILL DO Partner with Data Scientists to design, implement, and maintain retrieval-augmented generation (RAG) pipelines and AI applications powered by large language models (LLMs), including vector embedding store setup, prompt engineering, and integration with internal business systems. Conceptualize, build, and implement Machine Learning models within the Databricks platform. Build complex SQL queries to compile, manipulate, and aggregate data. Perform ad-hoc statistical/exploratory analysis including, but not limited to, regression, clustering, and optimization. Partner with engineering and IT teams to productionize models, debug/troubleshoot code, and integrate with other internal business systems. WHAT THIS PERSON WILL BRING Currently pursuing a Master’s degree in a relevant field, such as data science, computer science, statistics, or business analytics. Proficiency in Python. Proficiency in SQL. Experience working with LLMs, including prompt-engineering and RAG pipelines. Experience using statistical modeling and machine learning to solve business problems. Experience working with large and complex datasets. Thorough understanding of machine learning principles and experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks). Strong communication skills and the ability to summarize complex analyses. Experience with MLOps and model deployment pipelines is a plus, but not required. EQUAL EMPLOYMENT OPPORTUNITY We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It’s talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities. Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas. We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process. Live Nation will also provide reasonable religious accommodations on a case by case basis. HIRING PRACTICES The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. ---------- The expected compensation for this position is: $20.00 USD - $25.00 USD Hourly ** Pay is based on a number of factors including market location, qualifications, skills, and experience.