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Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data. We're looking for a Senior Manager, Data Science, Ads to join Snap Inc.! What you'll do Lead a team of data scientists and managers focused on driving the growth of our SMC business, directly contributing to the success of our ads platform Partner closely with Product and Sales leadership to inform the direction of the product roadmap, identify opportunities for advertiser growth, and make recommendations for driving incremental revenue Help build and manage a team of high performing data scientists and managers to help them execute along the most important priorities and deliver world-class products Deliver insightful analysis and recommendations that can be acted upon by the organization at all levels, interfacing directly with senior leadership to drive meaningful change Clearly articulate the approach and the findings of interpretable analytical models and drive the continuous refinement of what should be tracking and reporting Build out in-depth knowledge of the business success drivers (including determining the KPIs that will help meet our goals) and deliver value added solutions that have a measurable impact on the business Drive pragmatic approaches to solving key complex business problems through data creation, analysis, predictive modeling Work cross-functionally across multiple teams on different projects, ensuring timeliness and successful completion Deliver clear data and dashboards on what is happening in the product, metric regressions and understanding of ML performance Mentor and develop individual contributors and managers Knowledge, Skills, Abilities: Direct experience leading large data science teams (10+ people) focused on advertising products and advertiser growth Experience leading data science teams in the digital advertising domain, ideally with a mix of product and growth experience. Understanding of statistical analysis, experience with packages, such as Python, R, MATLAB, Stata, etc. Working knowledge of predictive modeling, machine learning, and experimentation/ causal inference methods Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management. Expertise in SQL and familiarity with Python Excellent verbal and written communication skills, with high attention to detail Ability to initiate and drive projects to completion with minimal guidance Ability to balance practical business needs and scientific rigor Minimum Requirements BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience 10+ years of experience in measurement and insights; ideally in a direct to consumer business 5+ years experience in building, managing, and leading a high-performing data analytics team Preferred qualifications Advanced degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline Ability to bring the right data technique to solve the problem in an explainable manner to the business Consultative nature, with a proven track record of using data to provide actionable results Experience in Modeling, Forecasting, Data Management Strong vision to building out functional area within a fast moving environment Proven ability to dig into metrics and understand underlying reasons for movement Successful track record in hiring, managing and developing talent If you have a disability or special need that requires accommodation, please don't be shy and provide us some information. "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC): The base salary range for this position is $251,000-$377,000 annually. Zone B: The base salary range for this position is $238,000-$358,000 annually. Zone C: The base salary range for this position is $213,000-$320,000 annually. This position is eligible for equity in the form of RSUs.

The Data Science and Engineering team builds Asana's core data pipelines and tools, and partners with teams throughout the company to drive key product and business decisions with metrics, experiments, and predictive models. As a Data Scientist Intern at Asana, you'll help us ask the right questions and answer them rigorously. You'll work closely with our Product and Business teams to understand their goals and proactively inform their direction with data. You'll keep taking on new responsibilities as you grow-from defining core metrics to building machine learning models and keeping the data flowing in our pipelines. This role is based in our San Francisco office with an office-centric hybrid schedule. Along with most Asanas, you'll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements. What you'll achieve Designing and analyzing experiments to measure the impact of new product features Investigating high-level questions like "What are the collaborative patterns of the most successful teams using Asana?" Adding new metrics and aggregations to our data warehouse to make new classes of questions answerable Building models to predict the growth trajectory of different customer segments About you Your anticipated graduation date is between December 2026 and July 2027 Strong technical background in computer science, statistics, math, information science, or another quantitative field Fluency in at least one modern language useful for data processing (e.g. Python, Scala) Proficiency with relational data modeling and SQL Expertise in statistical methods and experimental design and analysis Experience with distributed data processing systems (e.g. Spark, Redshift) Background in advanced statistical modeling (e.g. GLM, mixed effects) and/or machine learning What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated pay rate is $64.75 per hour. The actual rate will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed pay rate above is a guideline, and the pay rate for this role may be modified. We strive to provide equitable and competitive benefit packages that support our employees worldwide and includes: Flexible PTO Commuter stipend In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor's and Inc.'s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive, and building a diverse, equitable, and inclusive company is core to our mission. Our goal is to ensure that Asana upholds an inclusive environment where all people feel that they are equally respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. #LI-Hybrid #internship

At Revlon, we create beauty innovations for everyone that inspire confidence and ignite joy every day. Breaking beauty boundaries is in our company's DNA. Since its game-changing launch of the first opaque nail enamel in 1932 (and later, the first long-wear foundation), Revlon has provided consumers with high-quality product innovation, performance, and sophisticated glamour. Elizabeth Arden made waves as a woman-led beauty company in the 1920s. In 1931, Almay became the original hypoallergenic, fragrance-free beauty brand. Today, Revlon resiliently continues its legacy as a leading global beauty company. Our diverse portfolio-which consists of some of the world's most iconic brands and product offerings in color cosmetics, skincare, hair color & care, personal care, and fragrances-is sold around the world through prestige, professional, mass, and direct-to-consumer retail channels. These brands include Revlon, Revlon Professional, Elizabeth Arden, Almay, American Crew, CND, Cutex, Mitchum, Sinful Colors, Creme of Nature, Christina Aguilera, John Varvatos, Juicy Couture, Ed Hardy and more. We honor our heritage, embrace change, and applaud diversity. We champion our employees and celebrate our consumers. We are Revlon, together, transforming beauty. Position Overview: The Manager of Data Science and Analytics will be responsible for delivering insights and solutions that drive business growth. The ideal candidate will have a strong background in data science, modeling, Python, SQL, and experience with Nielsen or Circana data. This role requires excellent communication skills to effectively collaborate with cross-functional teams and present findings to stakeholders. Additionally, expertise in media mix modeling and deriving media insights is essential for this role. Key Responsibilities: Oversee the design and execution of data science projects, including predictive modeling, machine learning, and statistical analysis. Utilize Python and SQL to manipulate and analyze large datasets. Ensure the team's work is aligned with business objectives and provide actionable insights to stakeholders. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions. Develop and apply media mix models to optimize marketing spend across various channels. Generate media insights to inform marketing strategies and measure the effectiveness of media campaigns. Maintain familiarity with Nielsen or IRI data, and integrate this information into analyses and models. Communicate complex data findings in a clear and concise manner to non-technical stakeholders. Develop and maintain documentation for data science processes and models. Stay current with the latest data science trends, tools, and technologies, and mentor team members to develop their skills. Ensure the quality and accuracy of data and analytics deliverables. Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. 5+ years of experience in data science and analytics, with at least 2 years in building large scale data science models. Proficient in Python for data analysis and modeling. Strong SQL skills for data manipulation and querying. Experience with Nielsen and IRI data is highly desirable. Demonstrated experience in building and deploying predictive models using deep learning and machine learning algorithms. Knowledge about Generative AI is a plus. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills, with the ability to present complex data insights to various stakeholders. Ability to manage multiple projects and deadlines in a fast-paced environment. Knowledge of data visualization tools (Power BI) is a plus. #LI-NA1 #LI-Hybrid The base pay range for this position is $155,000 and $180,000/year; however base pay offered may vary depending on skills, experience, job-related knowledge, and geographic location. Certain positions may also be eligible for short-term incentives as part of total compensation. This role is eligible for an annual bonus based on company performance. Employees (and their families) are eligible for medical, dental, and vision benefits. Employees are covered by the company-paid basic life insurance policy and company-paid short-term disability insurance (the benefit commences upon hire and allows for a portion of base salary for up to 26 weeks if you are disabled). Other benefits offered to employees include but are not limited to the following: long-term disability, supplemental life insurances, flexible spending accounts, critical illness insurance, group legal, identity theft protection, etc. Employees are also able to enroll in our 401k Retirement Savings Plan. Employees will also receive 3 weeks of vacation, pro-rated based on date of hire for the 1st year of employment and twelve paid holidays throughout the calendar year. Vacation will depend on role. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c) Applicant Privacy Notice

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary In this role, you will be paired with a Vizient executive as a mentor for the duration of this one-year program. You will work on data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy with data scientists to match projects to your interests and goals. You will improve your skills in operations, enhance products, and generate new insights. You will be a Fellow in a full-time position with a duration of one year, beginning in June 2026. Please be prepared to submit upon request the following during the interview process: letter of recommendation and personal statement. Responsibilities Work with internal data science teams on assigned projects. Develop data science approaches, including machine learning models, to improve understanding and predict health care outcomes, conduct data management, and other assigned tasks. Collaborate with internal Vizient staff and leaders, and external stakeholders including Vizient clients, vendors, and other third parties. Conduct self-directed research into healthcare data topics. Participate in client-facing meetings and 'voice-of-customer' work to gain understanding of Vizient business needs. Participation in rotations and completion of a capstone project during the Fellowship is an option. Organize a monthly Speaker Seminar Series in collaboration with co-fellow. Qualifications Relevant degree preferred: Master's degree in data science, statistics, medical or health informatics, or related field highly desired. No previous work experience required. Demonstrated technical skills, including strong proficiency with database design involving SQL, and with programming languages such as Python, R, or SAS required. Demonstrated proficiency in quantitative skills including statistical inference such as Bayesian inference, machine learning application of mathematics for data analysis, and machine learning model development required. Graduate course and project work, or substantial experience in health care data or a technical field preferred. Experience with health care data, such as Electronic Health Records/Electronic Medical Records (EHR/EMR) data, and health care data standards preferred. Strong communication and project management skills preferred. Willingness to travel. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $51,900.00 to $87,900.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

Who We Are Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We're committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We Want We're seeking an experienced and visionary Head of Data Science to join our technology leadership team. This is a pivotal role where you'll not only refine our data science strategy and spearhead innovation but also play a critical role in shaping our overall data strategy, influencing the future of our data infrastructure, and enhancing our data visualization capabilities for scalable growth. Arrive boasts an outstanding data foundation. The logistics industry is rich with market data, and we've built a proprietary platform for operations, instrumentation, and internal data collection. At Arrive, data-driven decisions, automation, and innovation are paramount. In this leadership role, you'll collaborate extensively with various teams across the technology group and the wider business. What You'll Do Develop and champion strategic data initiatives that directly align with quarterly and annual business objectives. You'll coordinate product and feature launches, foster the growth of your team, and serve as a senior leader within the Technology organization, articulating our holistic vision, strategy, and roadmap. Build upon and evolve Arrive's data science function and strategy, positioning us at the forefront of the industry. Collaborate closely with stakeholders across the organization to identify and solve complex business challenges, leveraging data to uncover and exploit new opportunities. Lead the creation of sophisticated data models that drive strategic initiatives and are seamlessly integrated into our products, delivering daily insights and automation to thousands of users. Continuously seek new and impactful ways to utilize Arrive's vast data assets for the benefit of our customers, always ensuring end-user privacy and security. Partner with the Engineering team to define and optimize our data infrastructure, and work with the Solutions group to enhance data visualization and utilization. Serve as an integral part of the technology leadership team, collaborating closely with Product Management and Engineering to drive integrated solutions. Strategize and create cutting-edge models and capabilities in areas such as supply chain forecasting, pricing, NLP for automation, and people forecasting, making our vision of "empowering the ambitious" through software and data a reality. Lead Arrive's entire data science function. This includes understanding the needs of various teams, establishing an optimal team structure, and designing end-to-end workflows to best serve those needs. Take ownership of developing, estimating, and executing a data science roadmap, consistently measuring and testing for quantitative success and continuous improvements. Build, lead, manage, and mentor a high-performing team of skilled data scientists, empowering them to proactively lead iteration cycles with stakeholders and advance according to the team's vision and business goals. Actively gauge fluctuations in the needs of relevant teams across Arrive and strategically hire new team members to scale the function effectively. Maintain highly effective communication and responsiveness within your team and with stakeholders across the company, adeptly managing a large volume of ongoing projects. Collaboratively partner with Arrive's internal teams, customers, carriers, and the broader freight logistics technology ecosystem to ensure seamless operations and foster strong relationships. Possess the ability to consider long-term sustainability in all data science decisions, with a keen eye for scalability and maintainability, while balancing future ideals with short and medium-term needs. Exhibit strong communication skills, effectively championing the best ideas and advocating for your beliefs with integrity and respect. Qualifications 5+ years in data analytics and quantitative modeling as a hands-on technical contributor. 3-5 years of relevant industry experience is a MUST (freight brokerage, logistics, supply chain, B2B pricing. 5+ years of leadership/management experience, leading a team deeply embedded in multiple functions of the business. Excellent educational background in a quantitative field, such as Operations Research, Economics/Econometrics, Forecast/Planning, Data Science/Machine Learning. Proficiency in SQL, Python, R, Spark, and familiarity with code and programming concepts. Experience with big data architectures, data modeling, ETL, and building large-scale data processing pipelines. Knowledge of deep learning, optimization, casual interference, and Agile methodologies. Excellent ability to translate complex technical concepts to non-technical audiences and vice-versa. A strategic, hands-on leader who simplifies complex problems and balances long-term vision with short-term needs. Proactive, self-starting, collaborative, and driven to personally own and complete critical initiatives. Supervisory Responsibility This position will supervise a team of Data Scientists within the Technology organization The Perks of Working With Us Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage. Invest in your future with our matching 401(k) program. Build relationships and find your home at Arrive through our Employee Resource Groups. Enjoy office wide engagement activities, team events, happy hours and more! Leave the suit and tie at home; our dress code is casual. Work in the booming city of Austin, TX - we are in a convenient location close to the airport and downtown. Park your car for free on site! Start your morning with a specialty drink from our fully stocked coffee bar, Broker's Brew. Sweat it out with the team at our onsite gym. Maximize your wellness with free counseling sessions through our Employee Assistance Program Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days. Receive 100% paid parental leave when you become a new parent. Get paid to work with your friends through our Referral Program! Get relocation assistance! If you are not local to the area, we offer relocation packages. $200,000 - $300,000 a year The base salary range for this position is $200K - $300K, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training. Your Arrive Experience When we say "award-winning culture," we mean it. We've been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we're not in it for the trophies. We're committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive's walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos. Notice: To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. THE ROLE Zeta Global is looking for a seasoned, external client-engaging Senior Manager, Data Science & Analytics (individual contributor role) for its ZX Activation division. They will be responsible for prescribing a performance-oriented marketing and analytics strategy to achieve optimal performance in the client's customer acquisition efforts. This position will partner with cross-functional teams including but not limited to Sales, Client Success, Operations, Engineering, and Data Cloud. You will support strategic growth initiatives by delivering actionable insights to helping clients acquire new customers. You will benefit from a globally distributed Analytics team that provides essential support across data QA, reporting, and tool creation, allowing you to prioritize high-impact strategy work. RESPONSIBILITIES Strategic Leadership Define and drive a clear analytics vision aligned to client engagement, media performance, and marketing measurement priorities. Champion a data-driven culture by embedding analytics into strategic planning, campaign optimization, and decision-making processes. Lead the development and execution of measurement frameworks tailored to each client's objectives, ensuring alignment with business goals. Data & Analytics Translate data into actionable insights by identifying performance drivers, resolving anomalies, and crafting compelling narratives that demonstrate media impact. Establish and maintain robust testing frameworks that are statistically valid and operationally scalable. Drive confidence and alignment by delivering actionable insights rooted in analytics, business strategy, and persuasive communication. Provide business feedback as a key stakeholder in the development of standardized dashboards and advanced analytics to measure the effectiveness of campaigns. Leverage predictive and prescriptive analytics to identify trends, opportunities, and risks related to client behavior and retention. Marketing Measurement Utilize advanced analytics to quantify marketing impact and ROI, and partner cross-functionally to diagnose and address performance irregularities. Implement robust A/B and multivariate testing and experimentation protocols to optimize campaigns and maximize impact. REQUIREMENTS Master's degree in Analytics, Management Science, MIS or similar quantitative disciplines. 8+ years of experience in Analytics, marketing measurement, campaign optimizations, with a strong focus on email marketing. Expertise in advanced analytics tools and Business Intelligence tools. Proven experience designing and scaling experiments in a digital environment. Exceptional analytical and problem-solving skills with the ability to translate complex data into actionable insights. Excellent communication and presentation skills, with the ability to influence senior stakeholders and clients. BENEFITS & PERKS Unlimited PTO Excellent medical, dental, and vision coverage Employee Equity Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!! SALARY RANGE The salary range for this role is $125,000 - $145,000, depending on location and experience. PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases #LI-ND1

Job Description Infosys is seeking Data science AI/ML Architect Consultant. Candidate will be innovative and creative in data analysis, problem solving and presentation of solutions. Candidate will collaborate with engineering team to bring analytical prototypes to production. Candidate will analyze raw data: assessing quality, cleansing, structuring for downstream processing. Candidate will design accurate and scalable AI solutions. Candidate will be responsible for use-case derivation and solution creation from structured/unstructured data Candidate will be responsible for Storytelling, Business & stakeholder communication and Documentation Required Qualifications: Candidate must be located within commuting distance of Phoenix, AZ or Richardson, TX or be willing to relocate to the area. This position may require travel in the US Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 11 years of Information Technology experience. A strong understanding of data analytics best practices, standards, and guidelines; and an experience with applying the same to produce high visibility AI solutions / products Experience in building integrated solutions with NLP, Vision, Recommendation Engines, Forecast, Time-Series, Predictive Algorithms Programming Skills: Python, Scikit-Learn, TensorFlow, PyTorch, matplotlib Exploratory Data Analysis, Machine Learning and Deep Learning Algorithms Hypothesis definition, Model building, Hyperparameter tuning and Model performance metrics Statistics Knowledge (Probability Distributions, Hypothesis Testing) Platform exposure with one of the key AI Services Cloud providers with working knowledge of ML Services, AI Platforms, MLOps, AIOps Understanding of planning, design, management, execution, and reporting of the core components for AI/Cognitive solution) Experience with TDD practices / frameworks (JUnit (Java) / Jest (React) / Karma / Jasmine) Troubleshoot and debug applications to ensure optimal performance. Experience and desire to work in a Global delivery environment All applicants authorized to work in the United States are encouraged to apply. Preferred Qualifications: Knowledge of Cloud Implementation - Azure, Kubernetes/Docker Experience in developing & deploying Microservices, Data Modelling, Database Design, Tuning Design Parameters, Normalization, Solving Performance bottlenecks Experience in Middleware, Open-Source tools & technologies Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience in Production support is good to have Experience with monitoring tools is good to have Good Communication and Analytical skills The job entails sitting as well as working at a computer for extended periods. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.

Who is Nexxen? Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform ("DSP") and supply-side platform ("SSP"), with the Nexxen Data Platform at its core. With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Why join the Nexxen team? With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way - the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. Important Notice from Nexxen: Your Safety Matters At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at infosec@nexxen.com to verify its legitimacy. Your trust is important to us. Stay safe and informed. Nexxen is seeking a Senior Product Manager with deep experience in managing complex, technical product features-especially those powered by AI and machine learning (ML)-within our Supply Side Platform (SSP). You will be at the forefront of driving innovation by identifying high-impact problems where AI/ML technologies can unlock revenue potential, increase operational efficiency, and deliver intelligent automation. As a Senior Product Manager, you will lead initiatives across the full AI product lifecycle-from opportunity identification and model integration to performance evaluation and continuous improvement. You will work closely with engineering, data science, and business stakeholders to define, deliver, and iterate on AI-powered capabilities that scale and differentiate our platform. This role will be based in the Bellevue office. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest. Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are: What you'll do: Deeply understand the needs of our business and customers to define resilient, intelligent, and scalable product solutions Champion the discovery, definition, and prioritization of AI and ML features that enable better yield optimization, traffic prediction, and fraud detection Collaborate closely with engineering and data science teams to evaluate the feasibility and impact of machine learning approaches Define product requirements, success metrics, and milestones specifically tailored for AI-powered features Work with ML teams to operationalize models, including A/B testing frameworks, model retraining pipelines, and feedback loops Identify and quantify long-term opportunities for machine learning and AI technologies to differentiate our SSP in the market Ensure AI/ML models are explainable, ethical, and aligned with customer and business needs Drive alignment across executive stakeholders by clearly communicating technical concepts and business value Partner with data engineering and DevOps to ensure data quality, monitoring, and deployment pipelines support high-performing AI systems What You'll Bring: 5+ years of technical product management experience, including direct ownership of AI/ML product features Experience with ad tech platforms, ideally with exposure to SSPs, RTB protocols, and programmatic media Deep understanding of machine learning lifecycle: data collection, feature engineering, model training, deployment, monitoring Demonstrated experience working with data science and ML engineering teams in a cross-functional agile environment Bachelor's degree in Computer Science, Engineering, or a related technical field; an advanced degree or MBA is a plus Knowledge of common ML frameworks (e.g., TensorFlow, PyTorch, XGBoost) and data platforms (e.g., Snowflake, Spark, Airflow) An analytical mindset with the ability to translate business problems into technical solutions Strong leadership and communication skills with a track record of influencing cross-functional teams and executive stakeholders Experience driving data-informed decisions through metrics, experimentation, and customer feedback Bonus Points: Prior experience in building AI-powered features such as traffic forecasting, content classification, anomaly detection, or recommendation systems Familiarity with real-time data processing pipelines and MLOps best practices Experience navigating the ethical and regulatory implications of deploying AI at scale At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don't match this job description perfectly, don't worry! We would rather see your application than risk missing out on your potential to make an impact. In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $210,000 at the time of posting, with the potential of an incentive or bonus. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. #LI-KN1 #LI-Hybrid

Application Deadline: September 14th, 11:59pm EST Program Overview Video Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and deAt tevelop, select commodity infrastructure assets. CCI focuses its activities on the markets it understands best, while constantly striving to expand its knowledge base and network of relationships in order to participate in new markets. Position Overview: CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are seeking a highly motivated and detail-oriented Ph.D. Machine Learning Intern within our Global Data Science team, based in our Stamford, CT or London office. Ideal candidates will have a strong interest in applied quantitative research, particularly in time series forecasting, and a passion for developing novel machine learning methodologies to address real-world challenges in dynamic markets. This role offers the opportunity to conduct impactful research, collaborate with experienced scientists, and contribute to the advancement of our data-driven forecasting capabilities. The Ph.D. Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions. Responsibilities: Conduct research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence. Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions. Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches. Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams. Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis. Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights. Qualifications: Currently pursuing a Ph.D. in Statistics, Physics, Computer Science, Mathematics, or related technical field with a focus in Machine Learning. Expected graduation date of Winter 2026 or Spring/Summer 2027. Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.) Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds. Strong analytical skills with demonstrated attention to detail. Visit https://www.cci.com/careers/life-at-cci/ # to learn more! #LI-CD1

Artisan Partners seeks a highly motivated, intellectually curious individual to fill a Data Science Intern role on the Credit investment team. This internship is fulltime during the summer and 10-20 hours during the school year. The Artisan Credit team is dedicated to deep fundamental credit research which serves as a foundation to the team's high conviction investment process. The Credit team is led by portfolio manager Bryan Krug along with senior analysts, a data scientist, dedicated fixed income traders and a Chief Operating Officer. The team seeks to generate appealing risk-adjusted returns by investing across the capital structure and by taking advantage of the illiquidity premium and asymmetric risk profile in credit investments. The team's research process has four primary pillars: Business Quality Financial Strength and Flexibility Downside Analysis Value Identification Compensation: $25-$30/hour Responsibilities The candidate can expect to: Collaborate closely with the team's COO and Data Scientist to support their analytical needs Participate in diverse projects, gathering data through multiple acquisition methods, such as web scraping and other techniques Apply statistical and machine learning techniques to analyze data, back test and find correlations Qualifications The successful candidate is currently pursuing an undergraduate degree in data science with demonstrated academic achievement. Additionally, the ideal candidate will possess: Proficiency in R, Python, SQL, and Snowflake Experience in Tableau preferred Strong technical skills and analytical problem-solving abilities Knowledge of web scraping techniques Excellent communication and teamwork skills Strong presentation skills to effectively communicate findings Experience with statistical and machine learning techniques Adept at utilizing APIs for data extraction and integration A solid understanding of finance, accounting, credit, and derivative instruments (financial statements, credit risk assessment, and the use of derivatives for hedging and investment purposes) a plus Privacy Notice for California Applicants Artisan Partners Limited Partnership is an equal opportunity employer. Artisan Partners does not discriminate on the basis of race, religion, color, national origin, gender, age, disability, marital status, sexual orientation or any other characteristic protected under applicable law. All employment decisions are made on the basis of qualifications, merit and business need. #LI-Onsite/span>

The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society's toughest challenges - from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone. The Team CZI supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease. Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems - paving the way for new discoveries that will change medicine in the decades that follow: Building an AI-based virtual cell model to predict and understand cellular behavior Developing state-of-the-art imaging systems to observe living cells in action Instrumenting tissues to better understand inflammation, a key driver of many diseases Engineering and harnessing the immune system for early detection, prevention, and treatment of disease CZI's work in science includes grantmaking programs, open-source software development, and close collaboration with the Chan Zuckerberg Biohub Network. The CZ Biohub Network includes the San Francisco, Chicago, and New York Biohubs as well as the Chan Zuckerberg Imaging Institute. CZI also collaborates with institutional partners like the Kempner Institute for the Study of Natural & Artificial Intelligence at Harvard University. Join us in accelerating science. The Insights, Analytics & Open Research Team (IAOR) is a quant-first intelligence engine whose insights directly support strategic decisions, resource allocation, and amplify the impact and usability of CZI-supported research. Working across all Biohubs and Grand Challenges, the team builds data-driven tools and systems for evaluating CZ Science's progress and impact, conducts ecosystem and behavioral research, and facilitates the implementation of open science practices to increase usability and collaboration. The Opportunity As the Senior Staff Data Scientist - Lead, you'll shape the Data Science function for IAOR, driving data strategy and implementation to monitor progress, assess scientific impact, and track the competitive landscape of CZI's work in science. Leading a small team, you'll build org-wide analytics systems that inform strategic and tactical decisions. This role blends team leadership with the opportunity for hands-on IC impact and requires a strong leader and do-er. Your Impact You and your team will collaborate with Business Partners, Research Scientists, and cross-functional colleagues to co-create how CZI Science defines progress and impact. You'll translate those definitions into measurable, trackable systems, building dashboards and analytics workflows. Your team will work across IAOR to build cohesive and comprehensive systems of intelligence reporting - including developing the infrastructure for a new ecosystem intelligence suite of internal products. Your team will scrape and wrangle unstructured data, build databases and pipelines, develop dynamic dashboards, and perform advanced analytics to generate insights and accelerate the impact of work across all of CZI Science. What You'll Do Own the overall analytics and data strategy for IAOR aligned with business objectives Guide the design of data pipelines and reporting systems for both progress (KPIs) and impact, and the ecosystem intelligence product suite, building new where required and leveraging measurements and infrastructure from other teams, where appropriate Guide the development of novel metrics that are methodologically robust and substantively meaningful to help CZI Science understand our momentum and impact (e.g. relative citation index, relative utility KPIs) Support your team to design and execute analytical deep dives to uncover insights that drive product and marketing decisions Collaborate with IAOR colleagues and cross-functional stakeholders to ensure the outputs of your team meet business needs Hire, manage, and develop more junior data scientists on the IAOR Team Discover and define new data and analytics opportunities aligned with IAOR's core goals, and manage the delivery of those data products What You'll Bring 12+ years of combined experience in complex measurement & analytics, data engineering, and/or business data science in any field (tech / product experience preferred, but not required), including 3+ years experience in people management Demonstrated ability to build data foundations, infrastructure, and systems of reporting used in strategic and tactical decisionmaking from the ground up Strong SQL and Python skills A collaborative mindset and experience working cross-functionally (e.g. with AI, product and engineering teams) Strong foundation in statistics and causal inference Experience hiring and retaining excellent people Excellent written and verbal communication skills. Enthusiasm to ramp up on technologies and learn new domains. Compensation The Redwood City, CA base pay range for this role is $241,000.00 - $331,100.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Work Mode As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. CZI provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. CZI Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Hybrid

Company Background: Established in 1928, Genuine Parts Company is a leading global service organization specializing in the distribution of automotive and industrial replacement parts. Our Automotive Parts Group operates across the U.S., Canada, Mexico, Australasia, France, the U.K., Ireland, Germany, Poland, the Netherlands, Belgium, Spain and Portugal, while our Industrial Parts Group serves customers in the U.S., Canada, Mexico and Australasia. We keep the world moving with a vast network of over 10,700 locations spanning 17 countries supported by more than 60,000 teammates. Position Purpose: Seeking world-class talent to join the world's leading distributor of automotive and industrial replacement parts and value-added services operating 5,500+ locations and servicing more than 20,000 locations in the U.S and Canada. Specifically, this role will function as the Senior Product Manager in a team working to build next generation product and fitment catalog data management system. Working with this highly talented team, you'll play a key role to build and run one of the world's largest automotive and industrial replacement parts operations. If you are passionate and a seasoned product leader yearning to transform experiences for millions of customers and thousands of passionate associates, we are looking for you to join GPC leadership team as a Senior Product Manager. The Senior Product Manager is responsible for finding and delivering business value to drive sales, improve efficiency, and improve customer satisfaction through the exploration of problems, solutions and the production of quality products. Within their designated enterprise product, the Senior Product Manager focuses on delivering value by leading the strategic vision and product roadmap across the customer journey and ensuring all products within their portfolio are aligned to the vision. The Senior Product Manager identifies and connects interdependencies with other products within the customer journey. They support business reviews, communicate the product vision, and present across all levels of the organization. This Senior Product Manager role will oversee, and direct creation of products leveraging data science to improve Master Data Management in the Product & Catalog domain and in the Product Search domain. Additionally they will be a key stakeholder in the expansion of data science across GPC Technology. They will also orchestrate work addressing customer pain points across the GPC enterprise, and lead teams in the definition, discovery, design, development, and delivery of end-to-end service and experience capabilities leveraging technology, operations, and process. Responsibilities: Strategic Collaborate with engineering to translate business strategy into product strategy Own and maintain product opportunity and delivery roadmaps Maintain knowledge of competitive landscape and technology innovations Drive growth & efficiency for the business by applying domain expertise to provide thought leadership and translate vision into action Ideate and discover where products & technology can drive business value Execution Define and communicate value propositions, OKRs, success metrics, and outcomes Develop deep knowledge of business processes for the domain Drive prioritization of product capabilities Collaborate and drive cross-domain prioritization and sequencing of activities Create/document/track KPIs to measure relevant business goals for the domain Stakeholder Management Represent domain during enterprise planning and discovery Manage stakeholder expectations to ensure scoping, backlog and delivery aligns with product strategy Provide regular updates to product roadmap and outcomes Tactical Represent business throughout technology development process Document requirements (functional and non-functional) via epics, features and user stories Maintain and prioritize product backlog Track releases and communicate delivery roadmap Plan and conduct user showcases and acceptance testing Work with agile practitioners and engineering to improve the overall delivery lifecycle Other duties as assigned Location: GPC has two work locations to choose from, Duluth or Atlanta office. We offer a Flexible Work Policy that permits eligible employees to work a hybrid remote schedule. Desired Qualifications & Experiences: Degree in Computer Science or Engineering fields or equivalent years of experience preferred 10 years' experience in product and/or experience management. 10 years' experience in scrum/agile development methodology. 10 years' experience participating in product backlog prioritization and grooming/refinement 10 years' product ownership and helping drive road-mapping, planning and delivery in an agile environment. 5 years' experience in designing & building data science (ML-Model or AI Based) solutions 3 years' experience designing and setting up experimentation, A/B tests and measure the key KPIs based on the optimization objectives. Experience designing Catalog/Product Data Management and Syndication solutions using MDM Platforms equivalent to or similar to STIBO STEP Experience designing cataloging data management/distribution processes and solutions for the Automotive Aftermarkets domain is a plus. Knowledge of Automotive Aftermarket Industry Catalog Exchange Standards like ACES and PIES is a plus Experience in defining strategy and road map for exposing the product catalog, vehicle, location platform services in the form of necessary APIs and feeds required for the clients and partners. Demonstrated experience with analytical and critical thinking skills; ability to use data to break down complex problems and formulate plans. Experience supporting, mentoring and managing product owners is a plus Experience in the B2B and retail business is a plus Mastery of identifying goals, metrics and analytics to measure product value Proficiency in creating, prioritizing and accepting user stories Proficiency in conducting user research and testing to understand needs Proficiency in conducting competitive research and analysis Proficiency in guiding more junior team members through Product Management fundamentals in a professional setting Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest! GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

About our Team: LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs), retrieval-augmented generation (RAG), and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Senior Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures. This role centers on delivering AI agents that generate legal documents, interpret contracts, and autonomously execute multi-step tasks across complex legal workflows. You'll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants-capable of grounded reasoning, contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting, summarization, and task automation challenges. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Lead evaluation of model performance for generation, summarization, classification, and dialogue-based workflows with legal constraints in mind. Build scalable prompt engineering frameworks and manage fine-tuning or adaptation of models to legal datasets. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications, especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain, LLM agent frameworks, vector databases, and prompt orchestration pipelines. Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 10 years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a way that works for you: We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business: LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us! Job Description We offer the best of both worlds- energy with global support. At Rockwell Automation, Kalypso, you'll build a regional presence, lead a high-performing team, and partner with leading clients to solve their most critical digital challenges. Enjoy flexibility, autonomy, and access to world-class technology and expertise. Rockwell Automation, Kalypso, is a professional services firm focused on helping companies discover, create, make, and sell better products with digital. Our consultants are passionate about helping clients transform their operations, navigate latest technologies, and create lasting value across the enterprise. We are looking for a Data Science Manager to join our team and help grow our digital practice across Australia and New Zealand. As a manager, you will guide clients through complex transformations, lead data science teams, and support the growth and of our regional practice. As a Data Science Manager, you will help our clients solve challenging issues. The work is demanding, and provides unparalleled exposure to unique opportunities. Our focus is helping clients solve - not just prepare plans for solving - their most important problems with the transformative power of analytics. You will combine your knowledge of Analytics and Data Science with real-world for a diverse set of clients in industries such as Consumer Goods (FMCG), Life Sciences, Manufacturing, and Energy & Resources. Your Responsibilities: Ability to guide together with top executives to make decisions based on Machine Learning and Artificial Intelligence algorithms Research, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions for broad problem spaces and industries Not just use, but understand and improve the latest algorithms and trends Guide expertise on industry/functional topics Lead development of vision, mission, and core values for the data science team as part of building a culture Work with senior management and important partners in identifying and prioritising applicable, impactful insights across a variety of primary business and hence, enhancing the business's capability and objectives The Essentials- You Will Have: PhD, but minimum of a Master's degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field 8+ years of working experience in a data science capacity within a business setting working as a Senior Data Scientist Fluent spoken and written English language skills Good and able to tailor complex messages into simplified and business applicable material for important partners Willingness to travel up to 50% The Preferred- You Might Also Have: Technical Skills Proficiency with Machine Learning model development, training, validation, and application Proficiency in mathematical disciplines including linear algebra, calculus, probabilistic models, and statistics Data manipulation techniques, including ETL/ETLV Experience with R, Python or Scala scripting techniques Experience with data visualization and platforms such as D3.js, Tableau, Kibana, HTML5 and CSS Competency in Graph/NoSQL database techniques and RDBS platforms like Oracle and MS SQL Server Proficiency with SQL Experience developing in Java and NET languages Experience using and developing RESTful and SOAP Web Services General knowledge of software development practices and technical documentation (requirements, functional specifications, test plans, etc.) Consulting Skills Versatility, flexibility, and proactivity when resolving technical issues and dealing with ambiguity Understanding business requirements and the process of translating them into well engineered and integrated technical solutions; attention to detail Commitment to quality and on-schedule delivery; proven ability to establish and meet milestones and deadlines Customer-focused to understand and appropriately respond to customers' business needs Demonstrated ability to interface effectively and collaborate with clients, peers, and management to help develop solutions and ensure stakeholder buy-in Experience working in a team-oriented, collaborative environment with flexibility and a deep commitment to client service What We Offer: Our benefits package includes … Comprehensive mindfulness programs with a premium membership to Calm Volunteer Paid Time off available after 6 months of employment for eligible employees Company volunteer and donation matching program- Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation. Employee Assistance Program Personalized wellbeing programs through our OnTrack program On-demand digital course library for professional development ... and other local benefits! At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles. #LT-Hybrid # LT-CT1 Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Welcome to the intersection of energy and home services. At NRG, we're all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers' lives easier-helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company. We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society. More information is available at www.nrg.com. Connect with NRG on Facebook, Instagram, LinkedIn and X. This position will be involved in a diverse range of activities supporting NRG's Commercial Analytics functions. This position will be imbedded in the Structure and Fundamentals team and will focus on enhanced data driven solutions in support of team's activities. While our focus is for AI expertise, this role will support a much broader range of data science activities and provides meaningful exposure to and engagement in Commercial Analytics work product. Responsibilities: Collect, clean, and preprocess large datasets to ensure high-quality data for quantitative analysis including AI applications. Develop and implement machine learning models for predictive analytics, recommendation systems, anomaly detection, and other AI-driven insights. Implement solutions that improve efficiency of team activities. Analyze and interpret complex data structures to derive meaningful business insights. Collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to integrate AI solutions into group workflows. Optimize and fine-tune AI models to enhance accuracy, efficiency, and scalability. Stay up to date with the latest advancements in AI, machine learning, and data science technologies. Create data visualizations and dashboards to communicate findings to stakeholders effectively. Document methodologies, processes, and findings to maintain transparency and reproducibility. We seek candidates with: Bachelor's degree, Master's degree preferred, in data science, computer science, quantitative finance, statistics, or mathematics 3+ years of work experience in data analysis, machine learning, and AI applications High level of proficiency in SQL and quantitative programming (Python, R, MATLAB). Experienced in dealing with large data sets. Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-Learn. Strong knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Strong communication skills. Ability to translate complex data into actionable insights. The ability to manage multiple tasks independently and deadlines in a fast-paced environment. Ability to proactively seek new ideas and solutions to improve the status quo. Strong work ethic - reliable and accountable. Ability to work cooperatively with all levels of staff as part of a team. A commitment to the highest ethical standards and to act with professionalism and integrity. Preferred Qualifications: Experience with Natural Language Processing (NLP) or Computer Vision. Knowledge of big data technologies such as Spark, Hadoop, or Databricks. Exposure to deep learning techniques and neural networks. Understanding of MLOps principles and deployment of AI models in production environments. The base salary range for this position is: $91,280 - $164,280The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts. NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. EEO is the Law Poster (The poster can be found at http://www.eeoc.gov/employers/upload/poster_screen_reader_optimized.pdf ) Official description on file with Talent. Nearest Major Market: New Jersey

Hiring near our Stamford, CT Center of Excellence with a flexible environment. Gartner offers a flexible environment, with remote work that allows associates great flexibility to work from home, and opportunities to connect with colleagues for moments that matter on-site. Candidates that apply should be located within a reasonable proximity to one of Gartner's Centers of Excellence office locations. About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About this role: AI-focused Software Development position responsible for the management, design, and deployment of algorithms and Python based applications to help fulfill our Research & Consulting Delivery strategy. What you'll do: Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs. Lead architecture and technical design discussions to ensure data science solutions align with the organization's strategic objectives. Continuously improve models through experimentation and optimization techniques. Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Create Data Science packages and APIs for use across the organization Mentor junior members of the team on effective technical practices and non-technical acumen Be accountable for the scalability, stability, and business adoption of data science solutions Manage formal and informal project communication amongst team and with other project participants using methods appropriate to audience and type of communication Evaluate developers following project completion identifying strengths and areas for development What you'll need: 6+ years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing. Ability to provision packages and APIs for production data science code. Must have: Education qualification as graduate or postgraduate degree in Engineering or Data Science is required. Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning. Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Demonstrated ability to translate quantitative analysis into actionable business strategies. Ability to work collaboratively across business, data science and technical stakeholders. Experience in coaching/mentoring junior associates. Nice to have: Experience building scalable data models and performing complex relational databases queries using SQL (Oracle, MySQL, PostgreSQL). Knowledge of MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc. Knowledge of AWS tools like Sagemaker, Lambda, EKS, etc. Don't meet every single requirement? We encourage you to apply anyway. You might just be the right candidate for this, or other roles. What you will get: Competitive compensation. Limitless growth and learning opportunities. Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses, certification opportunities and more! A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you. A chance to make an impact - your work will contribute directly to our strategy. A flexible work environment-enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices. 20+ PTO days plus holidays and floating holidays in your first year. Extensive medical, dental insurance and vision plan. 401K with corporate match, immediate vesting. Health-and-wellness-related allowance programs. Parental leave. Tuition reimbursement. Employee Stock Purchase Plan. Employee Assistance Program. Gartner Gives Charity Match. And much more! #LI-RG2 #LI-Hybrid #LI-Technology Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective insight, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to more than 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our sustained success creates limitless opportunities for you to grow professionally and flourish personally. We have a vast, virtually untapped market potential ahead of us, providing you with an exciting trajectory long into the future. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 116,000 USD - 163,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:99453 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Carrier Global Corporation, a global leader in intelligent climate and energy solutions, is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. For more information, visit corporate.carrier.com or follow Carrier on social media at @Carrier. Role Purpose: The successful candidate will have ownership of driving critical initiatives for analytics and data products, interfacing with our leadership team to align priorities, while providing guidance to the internal teams on analytics strategy and delivery. Additionally, the candidate will deliver end-to-end data and analytics solutions that will scale and empower our users to deliver on Carriers goals and mission. Ideal Candidate will be within a commutable distance of Carrier's office in Palm Beach Gardens, FL or Carrier's office in Atlanta, GA. Role Responsibilities: Define, develop, and maintain the product roadmap for analytics data products in alignment with business goals. Collaborate with stakeholders to gather requirements, define use cases, and prioritize features to maximize value. Act as a liaison between business and technical teams, translating business needs into technical solutions. Work closely with data engineers, data scientists, and BI developers to ensure accurate implementation of analytics solutions. Drive the integration of data analytics solutions into business processes, ensuring scalability and reliability. Monitor and evaluate product performance using KPIs, user feedback, and business impact metrics. Own the backlog for analytics and data-related products, ensuring that user stories are well-defined, prioritized, and executed efficiently. Basic Qualifications: Bachelors Degree 7+ years of experience in analytics, data, statistics, Machine Learning, and/or AI delivery roles. Preferred Qualifications: Experience working with cloud-based data platforms such as AWS, Snowflake. Proficiency in data visualization tools (ex. Power BI) and SQL. Experience at large companies with complex data landscapes and scale. Experience delivering scalable analytics solutions, ideation through deployment. Experience leading teams and managing individual contributors. Data warehousing and data lake experience. Strong background in enterprise data and technology principles and best practices. #LI-Onsite RSRCAR Carrier is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. Carrier provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Job Applicant's Privacy Notice: Click on this link to read the Job Applicant's Privacy Notice

Envestnet is seeking a Data Science Director to join our Yodlee department. This is a remote role with occasional travel to our Raleigh, NC office. Envestnet is transforming the way financial advice is delivered through its connected technology, advanced insights, and asset management solutions - backed by industry-leading service and support. Since 1999, Envestnet has served the wealth management industry and today supports trillions in platform assets, serving over a hundred thousand financial advisors. The vast majority of the nation's leading banks, the largest wealth management and brokerage firms, and over 500 of the largest RIAs rely on Envestnet's wealth management platform and solutions to drive business growth, boost productivity, and deliver better financial outcomes for their clients. Envestnet's Strategy: Deliver the industry-leading wealth management platform, powered by advanced data and insights Leverage our scale and efficiencies to serve our clients' needs comprehensively Enable financial advisors to deliver more holistic advice - reflecting a more complete view of their clients' financial lives, and in a more connected environment For more information, please visit www.envestnet.com. Job Summary: Yodlee is looking for a motivated and detail-oriented Data Science Director to join our Data Science, Analytics & Products team. The role will be responsible for building a wide variety of models that meet accuracy SLAs, are scalable to run on terabytes of data, and are parallelizable to run on distributed computing infrastructure. The insights we derive from the financial data influence crucial cutting-edge business decisions made across the global financial services firms every day and solve real world problems. We are leveraging our deep expertise in financial data to launch innovative solutions in the financial industry. Job Responsibilities: You need to be a curious data scientist who enjoys a deep dive into the raw data to help figure out the right set of questions and find the answers to those questions. You must be passionate about applying pattern mining and data modeling techniques to solve real world problems. Responsible for hands-on data cleansing, transformation and building predictive models and classifiers. Identify opportunities to solve client problems at big-data scale using the most efficient technologies Generate optimal solutions that will be work in production within defined constraints of cost, time, quality Lead and guide junior data scientists and analysts to deliver results Communicate context, data, solution and implications to the team, senior leadership and stakeholders Own delivery of specific models and products with embedded analytics solutions Continuously improve models in production while leveraging new techniques and technology Adherence to and application of Envestnet legal, compliance, risk, business continuity and administrative policy within the role and department(s) including the timely completion of training & awareness, affirmations and testing as requested. As part of the responsibilities for this role, you will understand and readily support Envestnet's established corporate business practices, policies, internal controls and procedures designed to create value or minimize risk. Required Qualifications: 8+ years of experience in the area of Data Science / Machine Learning specializing in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence/Computer Science. Masters degree in Data Science/Computer Science/ Mathematics/ Statistics Solid programming skills in Python, ML frameworks (e.g., scikit-learn, tensorflow, nltk, sagemaker), Shell Programming and SQL. Hands-on experience with GenAI and LLM tools (e.g., LLaMA), including Retrieval-Augmented Generation (RAG), fine-tuning, integration with AWS Bedrock, and secure deployment practices such as managing closed model API key access. Deep understanding of statistical modelling/machine learning/ data mining concepts Ability to work independently or in team to solve complex problems and create scalable models/algorithms that will be integrated into Yodlee's tools and products. Demonstrated ability to formulate actionable ideas to solve problems faced by product managers & senior leadership then implement those ideas. Strong analytical and quantitative problem-solving ability Experience in working with huge datasets and big data technologies. Hands on experience in and theoretical knowledge of Natural Language Processing Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to team members across various levels of the company. Experience in setting up and using Big Data and Machine Learning infrastructure across leading cloud providers as well as standard ML toolkits. Preferred Qualifications: Experience in any one of the following sectors: Wealth Management, Retail Banking, Insurance and Credit Underwriting, Investment Research. Communicate context, data, solution and implications to the team, senior leaders and stakeholders. Envestnet: Be a member of an innovative and industry leading financial technology and solutions company Competitive Compensation/Total Reward Packages that include: Health Benefits (Health/Dental/Vision) Paid Time Off (PTO) & Volunteer Time Off (VTO) 401K - Company Match Annual Bonus Incentives Parental Stipend Tuition Reimbursement Student Debt Program Charitable Match Wellness Program Salary: The annual base salary range for this position is $160,000 to $200,000. #LI-SC1

Job Description Duties and Responsibilities: 50% - Perform work on KDSC Research Projects. 25% - Assist in the development of materials in the course. 15% - Supports the Kansas Data Science Consortium. 10% - Other duties as assigned. Required Qualifications Familiarity with computer programming as evidenced by application materials and/or programming tasks at interview. Familiarity with data science as evidenced by coursework or equivalent material in the application. Preferred Qualifications Evidence of scientific programming expertise in Python, Matlab, Stata, or R as demonstrated by application materials. Experience with data management for complex projects as evidenced by application materials Position Requirements During the semester term of the appointment, the student hourly must be enrolled in no fewer than 6 credit hours. For summer periods the student hourly must: (1) have been enrolled in no less than 6 hours in the past spring semester or (2) be pre-enrolled in the upcoming fall semester in no less than 6 hours or (3) be enrolled in summer session or (4) be admitted to study in the upcoming fall semester. Student Hourlies may be undergraduate or graduate students. (Exceptions granted for GRA/GTA/GA appointments DO NOT apply to Student Hourly appointments).