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Job Family: Program Analysis (PAN) Travel Required: Up to 10% Clearance Required: Active Top Secret (TS) What You Will Do: Capture of Data and Information: Use various software applications to best capture and report on desired data elements and information related to criminal activity and client operational accomplishments, including but not limited to cases filed, defendants charged and convicted, trials and outcomes, sentences to imprisonment, monetary sanctions, and estimated reductions in illegal activity as a result of criminal enforcement actions. Design input data collection forms to facilitate and standardize data collection. Review and assesses new software applications to improve efficiency and functionality of case tracking and reporting activities. Convert data for inclusion into databases, spreadsheets, and charting or graphical software presentation programs. Designs and produce output reports, summary tables, graphs and charts from database information. Research and Analysis: o Conduct special studies, research, and evaluation activities to assess and inform managers. Development of Presentations: o Design and produce PowerPoint and other graphics presentations for use by managers. Statistical Work: o Serve as technical expert on federal, state and local crime and caseload statistics, as well as other criminal justice data and policy issues. o Provide assistance to senior analysts on quantitative analysis and research methodologies regarding ongoing research studies, data analysis and program evaluations. o Analyze and interpret data to identify significant findings and trends using statistical or analytical software programs such as SAS, SPSS, Microsoft Access, and/or Excel. What You Will Need: An ACTIVE and MAINTAINED TOP SECRET Federal or DoD security clearance Bachelors degree FIVE (5) years' experience in statistics and data science. Experience in utilizing various types of software, such as Government- developed software, Microsoft Office suite including Word, Excel, and Power Point, conducting research and analysis of data, and reporting of results. Ability to plan and organize work effectively. Knowledge of statistics and quantitative analysis. Ability to communicate effectively, both orally and in writing. Ability to work with individuals and groups at all organizational levels. What Would Be Nice To Have: Advanced Degree Experience working in Law Enforcement or government setting Ability to commute onsite daily The annual salary range for this position is $75,800.00-$113,600.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Razor Group is seeking a highly driven and analytical leader to join our team as the owner and Vice President of the Decision Engine, managing the optimization and automation of pricing, advertising, demand planning, and inventory management. This is a unique opportunity to have a massive impact at a rapidly growing company by directly influencing the profitability and growth of our portfolio of brands. You will build and lead a talented team in developing and implementing the core algorithmic logic that powers our automated decision-making engine, optimizing pricing and advertising strategies for thousands of consumer products. This role offers a high degree of ownership, autonomy, and the chance to shape the future of e-commerce

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 We Are Applied Materials is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to work beyond the cutting-edge, continuously pushing the boundaries of science and engineering to make possible the next generations of technology, join us to Make Possible a Better Future. What We Offer Location: Santa Clara,CA At Applied, we prioritize the well-being of you and your family and encourage you to bring your best self to work. Your happiness, health, and resiliency are at the core of our benefits and wellness programs. Our robust total rewards package makes it easier to take care of your whole self and your whole family. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits. You'll also benefit from a supportive work culture that encourages you to learn, develop and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more about careers at Applied. Looking for a local Master's level student for this year-round co-op! Position will be full time in the summer and part time during the school year. Role is fully in-person. Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale helps our customers - who make smartphones, supercomputers, virtual reality headsets, autonomous vehicles and more - transform their ideas into reality. Our innovations Make Possible a Better Future. Inside our company, we apply the idea of make possible as we work together. We value our people and teams who turn possibilities into reality by advancing our strategy, accomplishing great things and empowering others. We are deeply committed to fostering a Culture of Inclusion where every person knows they belong, feels empowered to bring their whole self to work, and is inspired to grow. Applied Materials' Joint Operations Leadership (JOLT) data science team is searching for an intern to join our team in 2025! JOLT strategies in rebuild customer trust, create agile and resilient supply chain, reshape supply chain/ supplier relationships, drive operational excellence, and maximize profitability using data science and machine learning. The position will entail the following: Works in project teams developing difficult analytical models, algorithms and automated processes, research and develop machine learning models from inception to deployment. Use data mining and machine learning algorithms to provide insights into historical and real-time data for projects such as material forecast, demand forecast, pattern recognition, etc. Interfaces with internal customers for requirements analysis and special requests and schedules; derives insights and works with business units to determine actions and KPI for those actions. Interacts with product and service teams to identify questions and issues for data analysis and experiments; Supports the timely development of products for manufacturing and process information by applying sophisticated data analytics, based on a very good knowledge of the business processes and needs. Works in project teams as subject matter expert to design and development of program methods, processes, and systems to consolidate and analyze structured and unstructured, diverse "big data" sources. Requirements: In school to obtain Master's degree in Data Science, Data Analytics, Computer Science, Statistics, Mathematics, or a related field Preferred skills: Python, SQL, Tableau, HTML Additional Information Time Type: Full time Employee Type: Intern / Student Travel: Relocation Eligible: No The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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

ROLE SUMMARY Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, GCAs rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including market research, data science, digital analytics, finance, and consulting. As a team, we partner to turn data into meaningful insights that will have a direct impact on patient's lives and the future of Pfizer as a data-driven organization. The Director, Data Science is accountable for delivering data science driven strategic and tactical support for multiple brands. As a strategic partner to the US Commercial team, this person will develop and implement models and data-science derived insights that drive brands' strategic priorities. This will include driving the execution and interpretation AI/ML models, framing problems, and shaping solutions. Also, this person will help shape the brands' strategies and tactics by interfacing closely with Data Science Solutions team to develop bespoke AI/ML models to meet evolving needs and will also interface closely with sales-operations to drive execution. This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. ROLE RESPONSIBILITIES Role definition and key accountabilities include, but are not limited to: Commercial Data Science and Insights Provide data science and insights to US Commercial teams to drive brand tactic decisions Act as strategic partner to frame, investigate, translate complex data related models, and answer key business questions related to the identification and evaluation of Commercial brand strategies and tactics Connect machine learning models and insights together to identify Commercial brand opportunities and tactics to execute Guide stakeholders via compelling and persuasive story Strengthen the Brand and Sales teams understanding of marketplace performance and opportunities by analyzing impacts of brand strategies and tactics and partnering on data product solutions. Collaboration with other GCA and Analytics teams Partner with GCA IIS leads to incorporate data science capabilities and insights into analytics plans and recommendations Ensure alignment across GCA Data Science teams and Data Science Solutions teams to ensure cohesive activities with our stakeholders Partner with other analytic functions to advance the use of novel data sources, including RWD PROFESSIONAL CHARACTERISTICS Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how GCA can provide value to the organization Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork Project Manager: Articulates scope and deliverables of projects and delivers analyses within timelines Self-Starter: Eager to take on new responsibilities and opportunities Technical Skills Fluent in English (written and spoken) Strong MS Excel and PowerPoint skills Experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques Experience in understanding brand content, strategy, and tactics Ability to effectively utilize dashboards and data products to derive insights Understands quantitative and qualitative research methodologies Experience in management of secondary data with application of real-world data Ability to partner with cross-functional teams (Commercial, Sales, Operations) to execute brand tactics Ability to connect, integrate and synthesize analysis and data into a meaningful 'so what' to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question Education and Experience Bachelor's degree required, ideally in quantitative discipline like engineering or data science and 8+ years of work experience Or PhD Degree in a relevant field with good publication/research record and 5+ years of work experience 7+ years' experience in business analytics function, country strategy and/or strategic consulting Experience using data science models to solve problems in a business environment setting Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Other Job Details: Work location: Flexible; 2-3 days onsite/week Last Day to Apply: June 9, 2025 The annual base salary for this position ranges from $156,600.00 to $261,000.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Marketing and Market Research

Launch Program Overview: Skip the “entry-level grunt-work” and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that provides in-depth training on our beliefs, culture, business model, and leadership. Your first few weeks will be spent alongside a cross-functional cohort of new Red Ventures employees starting their careers across various roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career with us. After your initial onboarding period, you’ll join one of our teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career. We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position offers you hands-on opportunities in data science, data analysis, and product management. In your first two years, you’ll get repetitions in contributing to product life cycles via product analytics, roadmap support, model building, and influential communication with product leadership. What You'll Do: As an Associate Data Science Product Manager, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers. Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action. Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead. Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as: Data pipelines to gather, manipulate, prepare, and visualize large datasets Machine learning models for offline and proof-of-concept use cases LLM workflows to automate tasks or for reasoning capabilities for specific features in your product End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative. Promote adoption and usage of your product and tooling. Interact directly with end-users for training, feedback, and user testing. Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges. Who you are: Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation. Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles.  Scrappy, tenacious, self-motivated, yet a team player with humility and a great sense of humor. Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact. Showcases high EQ - can collaborate effectively in a team environment. Experiences you’ve had: Graduating with a bachelor's or master's degree in Summer 2025, with academic and/or practical experience in fields such as computer science, data science, statistics, or product management . (Start date in our August 2025 cohort) Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau).  Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT4). Thorough knowledge in statistics and machine learning techniques. Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences. Exposure to and/or interest in technical development of software components and production models to learn how to form opinions on level of effort and feasibility. Compensation: Starting Salary: $95,000  Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Matching 401(k) plan Flexible PTO Top medical, dental, and vision coverage Subsidized meals at our onsite cafe, smoothie bars and coffee bars (aka $5 for a made-to-order salad, sandwich, pizza, or sushi, or $2 for a delicious smoothie or latte) Free onsite fitness classes, premier wellness center, spin studio, basketball court, and yoga studio Casual dress code – yes, that means jeans! Who We Are Red Ventures is a global, multi-faceted company with a start-up mentality. Founded in 2000 with a focus on establishing strategic partnerships with Fortunate 500 companies, we grew rapidly within those first 10 years, quickly becoming a unicorn by utilizing our proprietary technologies to win in the digital marketing space. In 2015, we entered the age of acquisitions and began growing our own portfolio of owned and operated businesses. Over the subsequent years we diversified the types of industries we worked in and now work with over 100 brands. Every day, we help millions of people discover pertinent information that helps them make some of life’s biggest decisions, from their health to their home to their finances, among the plethora of industries in which we operate. Whether you work with a brand you know or a brand you’ve never heard of, you’ll know that your work is being seen and making a difference. For more information, visit  https://redventures.com and follow @RedVentures on social platforms. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications.  We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact  accommodation@redventures.com.  If you are based in California, we encourage you to read this important information for California residents linked here . #LI   Click here for more details regarding the employee privacy policy:  https://www.redventures.com/legal/us-emp-privacy-notice Questions about this Privacy Notice can be directed to  employeerights@redventures.com . Alternatively, you may raise any questions or concerns to your manager, HR Business Partner, or through the Privacy Team.

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

Description Position at CFO Services *** DO NOT APPLY! THIS IS A TEST JOB POSTING Data Scientist Job Responsibilities: Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. Lead data experiments tasked by the Data Science Team. Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Develop and implement statistical models. Work with Machine Learning engineering team to implement model. Analyzes problems and determines root causes. Helps identify company data assets and assists in defining data models. Works closely with all business units and engineering teams to develop strategy for long term data platform architecture. Qualifications / Skills: Machine learning, regression analysis, statistical testing Feature engineering and data cleansing Advanced analytical knowledge of data Conducting big data analysis Data conditioning Programming advanced computing Developing algorithms Developing software and data models Executing predictive analytics Education, Experience, and Licensing Requirements: 5+ years of professional experience Proficient with one or more programming languages (Python, R, Java, C++, etc.) Experience working with TensorFlow, SciKit Learn, NumPy, SciPy Experience working with NLP and BERT Experience implementing deep learning Specific examples using LSTM, RNN, and SVM a plus Git experience and Kubernetes a plus Experience working in AWS or Azure Demonstrated experience applying data science methods Experience implementing agile approach to artificial intelligence algorithm development "Neque porro quisquam est qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit..."

Overview Black Canyon Consulting (BCC)  is actively looking for Senior Scientific Expert - Biomedical Informatics and Data Science to support the Office of the Director, Division of Extramural Programs (EP), at the National Library of Medicine (NLM).  This opportunity is part time consultant opportunity and offers a hybrid work option.  The Division of Extramural Programs provides policy guidance, program development, evaluation, coordination, and overall operational and administrative management for extramural programs provided by the National Library of Medicine.  Extramural Programs consists of the following organizational units: Office of the Director, Administration, Grants Management, Scientific Review, Program Management, and Committee Management. The Division’s activities have national and international impact on the extramural library and informatics community through grants and contract support of biomedical computing and information projects, including informatics/biomedical informatics research, resource grants (databases, information networks, internet connections, enterprise information systems, including the National Network of Libraries of Medicine), national programs in training for research in bioinformatics and data science, clinical informatics, health informatics, support of conferences, and Small Business Innovative Research grants; also supported are publication grants, primarily in the field of medical history. The Senior Scientific Expert in Biomedical Informatics and Data Science holds independent responsibility for strategic planning and science visioning within the Division of Extramural Programs, encompassing biomedical informatics and data science. Key duties include: Strategic Research Program Planning: Initiates, designs, and updates processes to identify research priorities aligned with NLM and NIH strategic goals. Leads analyses of biomedical informatics policy issues to shape research agendas and influence strategic plans. Conducts and analyzes Requests for Information (RFI) to identify research priorities outlined by scientific stakeholders. Manages portfolio analysis and summarizes grant investments to inform strategic decision-making. Prepares a strategic plan aligned with a ONE-NLM vision. Advisory and Representational Responsibilities: Briefs Division and NLM leadership on scientific research and policy issues, prepares for high-level meetings, and develops strategic briefing materials. Prepares recurring and special documents containing substantive scientific information, fiscal data, and policy options. Qualifications: Advanced degree (Ph.D., M.D., or equivalent) with experience in biomedical informatics, health sciences, social/behavioral sciences, or related fields. Expertise in strategic planning, science visioning, and policy analysis within biomedical informatics or related disciplines. Knowledge of NIH grant funding mechanisms and experience in portfolio analysis. Proven ability to lead complex analyses, influence policy development, and communicate effectively with diverse stakeholders. Experience in managing interdisciplinary projects and collaborating across NLM units and with external partners. Strong analytical skills with proficiency in data interpretation and reporting. Salary We offer a competitive salary commensurate with experience and location. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: As a Data Science Leader at Anthropic, you will be responsible for building, mentoring and leading a world-class team that turns data into actionable insights. This extremely impactful role is central to scaling our business while maintaining our commitment to safe and beneficial AI. You and your team will develop metrics, analyses, experiments, and machine learning models that help create excellent user experiences and grow the business. You'll collaborate most closely with go-to-market, finance, and infrastructure teams to guide our strategic decision-making as we deploy frontier AI technology to users worldwide. As a key leader of Anthropic's data strategy, your team's work will shape key decisions, directly accelerate our progress, and contribute to Anthropic's mission of ensuring that artificial intelligence has a positive impact on humanity. Responsibilities: Lead and develop a high-performing team of data scientists, providing mentorship, guidance, and career development opportunities Partner with Sales, Marketing, Compute, and Finance leadership to develop metrics, dashboards, and analyses that inform strategic decisions across these domains Drive product strategy through data-driven insights, including user behavior analysis, product performance metrics, causal inference and experimentation Create and maintain sophisticated forecasting models for business planning, operations and capacity management Develop lead scoring, customer segmentation, propensity models, and predictive machine learning approaches to help nurture and grow customer accounts Establish engineering best practices, data modeling and scalable data infrastructure in collaboration with engineering teams Communicate complex analyses and recommendations effectively to executives and stakeholders across the organization Foster a collaborative, inclusive team culture that balances technical excellence with practical business impact You may be a good fit if you have: MS or PhD in a quantitative field (statistics, mathematics, computer science, physics, or related) 12+ years of experience in data science and analytics (or 10+ years of work experience with a PhD degree), including 6+ years managing high-performing technical teams "Director" or "Senior Manager" title at a large organization, or "Head of" title at a smaller organization Experience partnering with Sales, Finance, or Capacity on their data needs Proven track record of driving product strategy through data insights and building metrics that matter Deep expertise in statistical analysis, experimental design, and causal inference Experience with SQL, Python, R, and data visualization tools for large-scale analysis Demonstrated ability to partner effectively with cross-functional stakeholders and influence decision-making through data Experience building data capabilities from early stages through rapid growth phases Strong communication skills, with ability to translate complex technical concepts to diverse audiences Passion for Anthropic's mission of building safe and beneficial AI Strong candidates may also have experience with: Building data teams and practices in fast-paced, high-growth technology companies Financial modeling, capacity planning, chip optimization, or operations research Machine learning, NLP, or experience working with AI and large language models Go-to-market analytics, including marketing attribution, sales forecasting, and customer lifecycle analysis Knowledge of cloud based billing systems and standard accounting practices Managing through ambiguity and creating clarity in early-stage environments The expected salary range for this position is: Annual Salary: $275,000-$355,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Are you interested in System1's Machine Learning & Data Science team? If you don't see a job posting that feels like a good fit, but still want to work with us, this posting is a great way for you to express your interest! Our talent acquisition team will reach out to you as opportunities open that might be a good fit for you. We work hard to ensure all our candidates have a great interview experience - we kindly ask for your patience as we support our open & active roles. We will reach out regarding opportunities that match your skill-set as they become available. If you would like to be considered for an open position listed on our careers page, please apply directly to that posting and we'll get back to you as soon as possible! In the meantime, take a look at the information below to learn more about our team. Our Tech Stack Includes: Python | Dataiku | AWS & Snowflake Our Teams Include: Machine Learning Engineering | Machine Learning Science All Things AI Our best engineers are passionate about utilizing the latest technology & tools to deliver the highest quality code possible. As AI-assisted code and agented AI tools become standard, we're embracing the opportunities they create for our teams to focus on complex builds and greenfield projects. Our ML & Data Science teams are responsible for building, tuning, and maintaining the LLMs that power our AI & ML advertising solutions. They deliver both text and image generation capabilities, as well as provide a deep set of data used for experimentation. We've already started using several generative AI tools - Claude, Cursor, Gemini, ChatGPT - to shorten development cycles, and many of our non-technical teams are now contributing to engineering efforts using these tools as well. If you're in the Los Angeles area we've begun hosting several AI industry meetups at our Marina del Rey office - check out our LinkedIn, BlueSky, and Thread pages for upcoming dates & announcements. What Skills Are Needed to be Successful at System1? As we move to using AI-assisted and AI-agented development methodologies, new engineers joining our team must be passionate about finding new ways to apply these tools and technologies. Familiarity with the technologies in our tech stacks is important - but a strong grasp of computer science, machine learning, and data science fundamentals is necessary to understand how to solve complex engineering problems. Understanding edge cases, limitations, implications, and cost are all essential parts of delivering quality products. As our senior engineers are responsible for mentoring others on the team, it's even more critical for them to have a well-rounded understanding of their technical environment. We love to learn! Outside of traditional engineering experience, curiosity and a passion for continuously developing both personal and professional skills are key characteristics we look for in all candidates. What We Have to Offer We love our people, which is why we offer all eligible full-time employees competitive compensation, and great benefits & perks - and there's no waiting period to enroll! Our compensation packages include base salary + bonus + equity. The base salary range for this job family in the U.S. is $120,600 - $242,700 Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related competency attainment, experience, and relevant education or training. Here are our favorite benefits: 100% paid health, dental, and vision coverage for employees Health & Dependent Care Flex Spending Account 401k + 6% match 17 PTO days + 11 holidays + Uncapped sick days Bereavement, Jury Duty, & Parental Leave Family Planning resources Employer-sponsored basic life & disability insurance Cigna Employee Assistance Program, including free mental health resources Our employees love these particular perks: Up to $3,000 annual reimbursement for professional development $100 monthly technology stipend Paid Calm App subscription Monthly fitness or gym membership stipend for eligible employees Charitable contribution matching by System1 We also offer these optional and/or employee-paid perks: In-network access to Cigna's Ginger app Eligibility for discounted rates at participating gyms via Cigna's Active & Fit program Employee-paid increases to life & disability insurance coverage Employee-paid Legal & Identity Theft Protection services Employee-paid Emergency Travel Assistance Employee-paid Accident insurance Employee-paid Pet Insurance #LI-AW1 #BI-Hybrid #LI-Hybrid

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

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

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

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.

Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company – delivering on Toyota’s vision to move people beyond what’s possible. At TFS, you will help create best-in-class customer experiences in an innovative, collaborative environment. Who we are looking for: Toyota Financial Services (TFS) Data & Analytics (DnA) team is looking for a highly motivated, driven graduate students with an interest in technology, financial services, and the automotive industry to fill internship roles in our Data Science team. The Data Science Internship Program is designed to provide a combination of on-the-job experience, networking, and mentorship, which are critical components for personal and professional growth. As a Data Science Intern, you will spend approximately 12 weeks at our Toyota Headquarters in Plano, TX gaining relevant work experience with a globally respected company. The program will run from June – August 2024. Strong performers are often given the opportunity to return for future internships and interview for full-time positions. What you’ll be doing: Through this internship, you will uncover actionable insights through data analysis and help drive data-based decision making throughout the customer lifecycle. You will have the ability to support one or more areas, including but not limited to: Sales and Marketing, Credit Risk, Residual Value, Customer Management and Collections, Finance & HR, or associated business including Insurance and Manufacturing. Partner with the business to identify the most important questions that need to be answered about our customers and their value. Hands on data extraction and data wrangling from internal and external systems using SQL, Python, R, etc. Analysis and model building using advanced analytics tools and techniques using statistical software packages like SAS, Python, R, etc. Develop, manage and deploy analytic solutions using statistical software packages like SAS, R, Python, etc. Build PowerPoint presentations to recommend business decisions. Create output and or results that visualize findings using fixed reports and or tools like Tableau/Power BI Develop analytical project plans and integrate inflows and outflows of information with teams upstream and downstream from analytical efforts. Attend and participate (where appropriate) in various project planning and prioritization sessions. Projects may include: Credit Risk Champion Challenger Model - create a new model to predict customer credit risk using a more advanced predictive algorithm to either find a better way of predicting customer credit risk or validate that the current model performs better than the proposed new model. Price Testing for Hourly Vehicle Rentals - implement multiple pricing tests and analyzed the resulting data to learn the impact of various pricing strategies on the hourly rental business. Interest Rate Reduction Test - implement a test where the interest rates charged in some areas of the country were reduced by a specified amount and the resulting data was analyzed using statistical methods to calculate the impact of the rate reduction on specific KPIs. What you bring: Within 1 year of completing a Master’s or Ph.D. in a heavily analytical discipline Advanced hands-on experience with tools such as Python (NumPy/Pandas), scikit-learn, R, and/or SAS. Experience in using a variety of statistical and machine learning techniques to solve problems. Exposure and familiarity with topics like Logistic Regression, Time Series Analysis, Experimental Design, Generalized Linear Models, Mixed Modeling, Multivariate Statistics, Large-Scale Predictive Modeling, CHAID/decision trees, Gradient Boosted Trees, Random Forests, and Neural Networks. Ability to problem solve and think outside the box with a passion to learn and grow Presenting analysis results and making recommendations to leadership Belonging at Toyota Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members’ efforts to dream, do and grow without questioning that they belong. As a company that has been one of DiversityInc’s Top 50 Companies for Diversity and a member of The Billion Dollar Roundtable supporting minority and woman-owned suppliers for over 10 years, we are proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law. Have a question or need assistance with your application? Please send an email to talent.acquisition@toyota.com .

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

Position Summary... What you'll do... Manage a team of data science and machine learning engineers to develop and deploy traditional data science and Gen AI applications supporting the Walmart finance department. Build models that solves specific business outcome by training with massive amount of Walmart data utilizing open-source or in-house tools. Grow a team of domain experts of NLP, LLM , Timeseries Forecasting and recommendation systems in respective business domains in retail ; e-commerce. Drive execution of developing models and systems Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects. Remain up to date on ongoing research and development activities in the team Work withdata scientists to design, architect, and build AI/ML/DL model and model systems. Work with machine learning engineers to deploy, operate, and optimize scalable solutions About the Team: Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, Walmart U.S. offers an extensive selection that our customers value, whether they shop online at Walmart.com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. What you'll bring: Experience in NLP, LLM, Timeseries, Traditional ML techniques Experience in data science and machine learningfor retail ; e-commerce Experience in managing a mid-size internal team of data scientists and MLEs Experience leading and completing cross-functional projects Strong organizational skills including prioritizing, scheduling, time management, and meeting deadlines Strong influencing and interpersonal skills Detail and results-oriented with sense of urgency About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Benefits: Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Equal Opportunity Employer: Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people. The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. ‎ ‎ ‎ You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. ‎ For information about PTO, see https://one.walmart.com/notices . ‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. ‎ Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. ‎ For information about benefits and eligibility, see One.Walmart . ‎ The annual salary range for this position is $110,000.00-$220,000.00 ‎ Additional compensation includes annual or quarterly performance bonuses. ‎ Additional compensation for certain positions may also include: ‎ ‎ - Stock ‎ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America