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TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices We'd Love to See: TransUnion Interactive Inc. A Wholly Owned Subsidiary of TransUnion LLCs seeks Senior Developers, Data Science and Analytics for Chicago, IL location. Implement and maintain full-stack Ab Initio system infrastructure and data warehouse environments. Develop and design ETL solutions with Ab Initio. Translate business concepts to technical implementations to drive alignment and decision making. Develop, test, deploy, and document software. Proactively monitor Ab Initio data warehouse environment processes. Perform data analysis and validation, communicating results to business and technical stakeholders. Solve complex data problems as needed. Technical Environment: SQL, R, Python, Tableau, Power BI, SQL Server, PostgreSQL, Oracle, MySQL, DBVisualizer, HTML tables, Grafana, Lucid Charts. Job Requirement: *Master’s degree in Computer Science, Computer Engineering, Engineering Management, or a related Engineering field, or any related field required. Required skills: (could be gained through experience or education) SQL, R, Python, Tableau, Power BI, SQL Server, PostgreSQL, Oracle, MySQL, DBVisualizer, HTML tables, Grafana, Lucid Charts. Some telecommuting permitted. (*Bachelor’s degree in Computer Science, Computer Engineering, Engineering Management, or a related Engineering field, or any related field plus 3 years of experience with data analytics also acceptable.) Benefits & Pay Scale Information:TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion’s Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. The U.S. base salary range for this position is $113,235/yr-$113,235/yr. annually. Regular, fulltime non-sales positions may be eligible to participate in TransUnion’s annual bonus plan. Certain positions may also be eligible for long-term incentives and other payments based on applicable company guidance and plan documents.We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.#LI-DNI #BI-DNI Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position. Company: TransUnion LLC

POSITION: DSST Sports Coach GRADE LEVEL: High School LOCATION: Aurora Science and Tech High School STIPEND : See below for stipend amounts for current openings STATUS : Seasonal fixed term, temporary, benefits in-eligible (does not qualify for benefits outlined in total rewards), in-person position START : See information below for start dates for specific coaching positions DETAILS Soccer Assistant Coach Season Dates: 03/02/2026-05/16/2025 Stipend Amount: $2,310 MINIMUM QUALIFICATIONS Demonstrated belief in all students and the mission of DSST. Strong character and belief in the core values of DSST. An ability to work and collaborate across lines of difference. Demonstrated ability to manage multiple competing priorities at one time. Ability to thrive in a fast-paced work environment. Knowledge of the game and passion for sportsmanship. IDEAL QUALIFICATIONS Prior Cheerleading or Coaching Experience:Experience as a cheerleader or coach is valuable, as it provides firsthand knowledge of the sport and its demands.Knowledge of Cheerleading Techniques and Rules: Coaches need to be well-versed in the techniques, rules, and safety procedures of cheerleading. Leadership and Communication Skills: Effective communication and strong leadership skills are crucial for motivating and guiding cheerleaders. Strong Organizational and Time-Management Skills:Coaches need to be organized and able to manage their time effectively to plan practices, competitions, and other activities. Ability to Choreograph and Teach Routines:Coaches need to be able to create and teach high-energy routines and teach cheerleading skills to athletes of all levels. THE ROLE This position will closely to support the Spirit Director with practices, games and activities. To live and model the school’s core values with colleagues, students, parents, officials, fans, and the larger community To reinforce the school’s core values, guiding philosophy, rules, and school spirit Foster a positive and inclusive team environment that encourages teamwork, discipline, and sportsmanship. Design and implement comprehensive training programs tailored to the needs and goals of individual athletes and the team. Conduct regular training sessions, focusing on technique, strength, endurance, and skill development. Organize and oversee team practices, competitions, and events, ensuring compliance with all relevant regulations and safety protocols. All coaches must be willing and able to be trained and approved to drive our activity buses. THE PERSON Mission-driven: You have a desire to change the way the public school system serves students, so that all kids – regardless of race, ethnicity, or income – have the opportunity to go to college. Track record of leadership: You know that being a great coach means being a dynamic leader, and your life and professional experiences demonstrate your ability to lead others to achieve great outcomes. Ability to inspire and motivate athletes. Goal-oriented: You set high goals for yourself, team, and players. You take the steps necessary to achieve those goals. Organized: You have a systems mindset that helps you keep yourself organized in a professional setting. Growth mindset: You are a lifelong learner; you know that you continually improve to be the best leader possible for your players, and you desire next steps to help you get there. Communication: Strong verbal and written communication skills to convey strategies and feedback effectively as well as able to communicate with players, families and school staff. WHO WE ARE At DSST Public Schools, we are proud to be the largest and highest-performing network of public charter schools in Denver and Aurora with 100% of our students having been accepted into college or post secondary programs since our inception in 2004. When you join DSST, you play a part in ensuring all 7,500+ students at our 16 schools have access to a transformational and joyful education. INTERVIEW EXPECTATIONS For most of our positions, we hire on a rolling basis. Therefore, we recommend that you submit your application as soon as you are able! You can learn more about what to expect in our interview process here . WHY JOIN DSST? At DSST, we know that our people are the greatest asset we have in reaching our mission of eliminating educational inequity. We work hard to build a work culture that allows our staff to not only feel fulfilled by the work they do but also feel supported to live a joyful, healthy life. We want this work to be your life’s work. Check out why our teachers love working at DSST as well as our benefits website to learn how we deliver on our commitment to the human condition. Health and Supplemental Insurance: DSST staff have access to comprehensive medical benefits, including fertility benefits and a mental health counselor that is dedicated solely to DSST staff. Time Off: DSST Staff enjoy 11+ weeks off per year + paid PTO (from Day 1!) Professional Development: As a learning organization, DSST values both internal and external development opportunities for staff. See some examples below: DSST Back to School Development Series including New Staff Institute, New Educator Institute, New Leader Institute, Leader You, and Teaching & Learning Institute. Weekly 1:1 Coaching from a School Administrator at your campus. Clear internal career pathway opportunities such as our Apprentice Teachers, Emerging Leaders, and School Director in Training Programs. Read more here. And more! DSST COMMUNITY REFERRAL PROGRAM Not a best fit role for you but know someone else who would be a great fit? Refer them here and earn $500 if they are hired! EQUAL EMPLOYMENT OPPORTUNITY AND DIVERSITY, EQUITY AND INCLUSION DSST Public Schools is proud to be an Equal Opportunity Employer and does not exclude participation in, deny benefits to or discriminate on the basis of, race, color, religion, National origin, sex (including pregnancy and related conditions, sexual orientation, or gender identity), Age (40 and older), Disability, Genetic information (including employer requests for, or purchase, use, or disclosure of genetic tests, genetic services, or family medical history), retaliation for filing a charge, reasonably opposing discrimination, or participating in a discrimination lawsuit, investigation, or proceeding in admission or access to, or treatment or employment in its programs and activities. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. This position is active and may require standing, walking, bending, kneeling, stooping, and crouching throughout the day. The employee must lift and/or move items up to 30 pounds. The employee must have sufficient hand, arm, and finger dexterity to operate a computer keyboard and other office equipment. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception, and ability to adjust focus.

Position Overview: We are seeking an enthusiastic and experienced high school history and political science teacher to join our dynamic faculty team. The ideal candidate should have a rich background in history and political science, capable of teaching various courses including United States History, Honors United States History, United States History since the Civil War Honors, AP United States History, World History (Since 1450), Honors World History, AP World History: Modern, AP European History, World Geography, AP Human Geography, United States Government and Politics, AP United States Government and Politics, Honors United States Government and Politics, or AP Comparative Government and Politics. The candidate should demonstrate a commitment to fostering an inclusive and engaging learning environment while promoting critical thinking, analytical skills, and effective communication among students. Responsibilities: Plan, prepare, and deliver engaging and challenging lessons aligned with the curriculum standards and objectives of the assigned history and political science courses. Establish a supportive and inclusive classroom environment, encouraging student participation, collaboration, and respect for diverse perspectives. Meet the diverse learning needs and abilities of students, including those with special needs and English language learners, through various teaching methods. Assess student learning through various forms of formative and summative assessments, providing timely and constructive feedback to support their academic growth. Implement effective classroom management strategies, maintaining a positive and orderly learning environment conducive to student success. Collaborate with colleagues to develop interdisciplinary units, share best practices, and align teaching strategies across grade levels and subject areas. Regularly communicate with students, parents, and guardians regarding student progress, academic expectations, and opportunities for enrichment or intervention. Stay updated on developments in the fields of history and political science education, including new teaching methods, educational technologies, and relevant research. Participate in professional development opportunities, teacher meetings, and school activities. Fulfill other duties and responsibilities assigned by the school administration. Qualifications: Bachelor's degree in History, Political Science, Education, or a related field; master's degree preferred. Valid teaching certificate/license in secondary History or Political Science (or equivalent). At least two years of teaching experience at the high school level within the past two years, demonstrating effectiveness in teaching history and political science. Familiarity with various teaching strategies, assessment techniques, and educational technologies to support student learning and engagement. Strong interpersonal and communication skills, able to collaborate effectively with colleagues, students, parents, and other stakeholders. Commitment to diversity, equity, and inclusion in education, with the ability to create inclusive and supportive learning environments for all students. Passion for history, political science, education, and the teaching profession, genuinely aiming to inspire and empower students to become lifelong learners and critical thinkers. Flexibility, adaptability, and willingness to embrace new challenges and opportunities for professional development. Compliance with all relevant state and federal regulations regarding education and child welfare. Compensation: $40.00 - $45.00 per hour

Replies within 24 hours Benefits: Employee discounts Flexible schedule Free food & snacks Free uniforms Opportunity for advancement Training & development 🎨🖌️ Do you love SLIME, CLAY , PAINT , and Glitter ? ✨🖼️ Get paid to have fun teaching kids! On average, our teachers earn $45 for EACH 1-hour class taught. This includes getting paid for your prep time, class setup, class time, and clean-up time. Get paid to have fun hanging out with kids, 12 months to 12 years of age, as you teach them how to create art and have fun with science! We have permanent positions available. We need people to help spread our Passion for Art and Science Education. Here's the lowdown: During the school year, you will need to be available three or more days a week to work in the afternoon hours. If you want more GLITTER in your life, we have significantly more hours available during no-school days and the summer months. For true believers, we have mornings, early evenings, and weekend hours available too! Skateboards, bikes, and roller skates are fun, but a reliable car is a must. Truly get a kick out of making a mess & believe kids should be messy too! Be 18 years of age or older. Interact with students during art and science classes and camps. Are you enthusiastic, reliable, creative, and love working with kids? Then this job is for you! This position is an excellent opportunity to start a rewarding career with Kidcreate Studios. Here's what you get: 10-35 hours a week. If you want more hours, we can talk about a full-time position. If you love it, build your career with Kidcreate. We promote from within for all full-time positions! Paid training as we prepare you for the best job ever! A very flexible schedule Discount on retail items Discount on classes, camps, and parties for family members All lesson plans and art supplies are provided. A good ol’ Slime-Tastic time! Apply now to become a Children's Art & Science Teacher and get messy with us! This Children's Art and Science Teacher position is a super fun job for graphic designers, college students, retired teachers, paraeducators, freelance artists, ceramic artists, daycare providers, and caregivers. Who the heck is Kidcreate Studio? Our art and science classes are a great way to introduce children to the beautiful world of art and science! We provide a positive, self-esteem-building environment for children to explore. Children get messy with paint, clay, and so much more! Weekly classes, camps, workshops, and homeschool classes are age-specific and are tailored to provide each student with the curriculum that suits them best. Great people Fun place to work Every day is different High-energy workplace Join Kidcreate Studio today in our mission to introduce children to the wonderful world of art and science! Compensation: $16.00 - $19.00 per hour Kidcreate art classes are a great way to introduce children to the wonderful world of art! We provide a positive, self-esteem-building environment for children to explore the visual arts. Children get messy with paint, clay, and so much more! Specializing in children's art classes, camps, and art-themed birthday parties, Kidcreate Studio is an art studio just for kids. At Kidcreate Studio, children will create fridge-worthy masterpieces, learn art concepts, and experiment with many different art materials. Weekly classes, camps, workshops and homeschool classes are age-specific and are tailored to provide each student with the curriculum that suits them best.

Online Math and Science TutorThinkingStorm is a national online tutoring company seeking writing tutors to conduct live online tutoring sessions from home. Our ideal tutor has a BA/BS degree or higher in a math or science related discipline. If tutor is applying to be a math tutor, they should be comfortable teaching math levels up to Calculus, with higher levels being preferred. Science tutors need proficiency in either biology, chemistry, or physics, with preference given to those with comfortability in more than one subject. Additionalconsideration will be given to applicants who have experience with quantitative and/or qualitative research design, or ESL instruction. This is a great position for people who desire some flexibility in their daily schedules. Math and sciencetutors can fit their responsibilities around errands, graduate school courses, other part-timejobs, or family obligations. Tutors receive appointments and conduct tutoring sessions via ThinkingStorm’s system. Desired Time Commitment: 15-20 hours per week, though discussions can be had about different arrangementsCompensation: $14-16 an hour based on experience and subject matter You must have a reliable internet connection to be considered for this position. To apply, please email us your resume at tutorrecruiting@thinkingstorm.com . Please confirm which position you are applying for in the e-mail by putting the exact title in the subject line as we have multiple different positions open.If your resume meets our qualifications, you will be asked to complete a mock teaching session for a Thinkingstorm employee, to be scheduled upon further consideration. This is a remote position. Compensation: $14.00 - $16.00 per hour

Benefits: Flexible schedule Are you looking for a part-time job with very flexible hours where you are paid $17 to $30 per hour to have fun performing for children?At Mad Science, we are having a blast, and we pay you to have fun! Launch rockets, demonstrate defying gravity, explore the states of matter using dry ice, and help children create slime and other polymers. You will inspire the next generation of scientists through our innovative activities that show kids what science is really about. Company Overview Our mission is to inspire children through science, sparking lifelong imagination and curiosity. For over 15 years, we have delivered unique, hands-on science experiences for children through our after-school programs, birthday parties, workshops, special events, and summer programs. Our innovative programs are as entertaining as they are educational! Job Summary As a Mad Scientist, you will lead children through a minds-on inquiry-based discovery method involving dynamic demonstrations and hands-on activities that will illustrate how science affects the world around us. Mad Science is the world’s leading provider of fun science programs for elementary-aged children. Responsibilities Traveling to program locations such as schools, recreation departments, and libraries. Facilitating science enrichment programs using a pre-set, easy-to-understand curriculum. Each session is high-energy education wrapped in entertainment, or "edutainment". Enjoy teaching children the fascinating wonders of science! Qualifications Experience working with children is an asset. A reliable car. Flexible working hours. Dynamic and fun personality! Compensation: $17.00 - $30.00 per hour Mad Science is a powerhouse brand with locations around the globe! For over 35 years, we have sparked imaginative learning through our summer camps, birthday parties, in-class workshops, after-school programs, and special events for kids ages 3-12. Become part of our team and help us inspire the next generation of scientists and engineers. Our locations are always looking for part-time instructors and full-time office staff.

Job Description: Tutor | Sylvan @ Schools- High School Science At Sylvan, we are building academic confidence, igniting intellectual curiosity, and inspiring the love of learning. We believe education is everything. A child’s future depends on a solid education and a love of learning. We teach our students how to learn, so they build confidence and develop the skills needed to achieve success in school and beyond. Making sure learning clicks for each child isn’t always easy, but it’s exactly what we love. When you choose Sylvan as a career, you join a group of caring, bright and motivated people who share a passion for making learning personal and inspiring kids to thrive. Join us in changing lives! Overview Sylvan Learning is a leading provider of tutoring to students of all ages, grades and skill levels. Sylvan @ Schools brings our noteworthy programming to school campuses. Our school partnerships present an incredible opportunity to offer students a small group experience that students do not receive within their larger classroom setting. Sylvan @ Schools Tutors create a positive personal learning experience for students by tutoring students using our Sylvan program materials and online. This role is essential to helping students achieve their educational goals by teaching skills, clarifying concepts, and fostering independent learning. Tutors are deployed to Sylvan Learning Centers in the Greater Los Angeles area to help support high school students with their homework virtually. Our tutors provide academic support to K-12 students in reading and math. Job Responsibilities • Deliver guided, scripted curriculum and/or lesson support to groups of up to 10 students. • Promote a positive, inclusive, encouraging learning environment. • Utilize motivation program to positively impact student attendance and performance. • Maintain accurate records of attendance and student progress. • Participate in required training and staff meetings. • Collaborate with Leads and Directors to ensure smooth program execution. Compensation • $25 – $27/hour • Training rate: $18.25/hour (10-16 hours) • Tutors can expect to tutor 4 per day, 4 days per week, M-Th. Tutors will be assigned to a specific Sylvan Learning Centers. • Tutoring will occur between 4:00 PM and 8:00 PM and may vary based upon the needs of the school and their bell schedule. Tutors are required to arrive 10-15-minutes before their scheduled tutoring to set up and log in. We’re Looking For Associate’s degree or two years college completion toward 4-year degree required 2 years of working at a school in any position required (TA, Para, Teacher, Admin, Librarian) Previous teaching or tutoring experience preferred Strong organizational and time management skills Ability to work independently and as a part of a collaborative team Must have reliable transportation Must obtain a TB clearance and complete a Livescan background check Reports To Assistant Director, Director of Education, Senior Director

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team: The Traveler Engagement & Loyalty team at Expedia is at the forefront of innovation in AI-driven recommendation systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond. Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. From crafting tailored travel recommendations to optimizing engagement strategies, your work will directly influence millions of travelers globally. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedia’s AI-first vision. In this role, you will: Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies. Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data. Design and analyze A/B experiments to validate model performance and drive product decisions. Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments. Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes. Stay current with advancements in recommendation research, deep learning architectures, and personalization systems. Minimum Qualifications: MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience 3+ years of experience building production-grade recommendation or personalization systems. Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference. Proficiency in Python and ML frameworks such as TensorFlow or PyTorch. Experience with distributed systems like Apache Spark. Familiarity with A/B testing and experimentation methodologies. Ability to work with large-scale, real-world data with attention to bias, fairness, and privacy. Excellent communication skills for both technical and non-technical audiences. Preferred Qualifications: PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related field Experience in the travel or e-commerce industry. Familiarity with cloud platforms (AWS, GCP, Azure). Publications in top-tier ML conferences or journals. Contributions to open-source ML projects. Experience in personalization systems or CRM-focused ML applications. Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits . The total cash range for this position in San Jose is $149,000.00 to $208,500.00. Employees in this role have the potential to increase their pay up to $238,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent ( IATAN ) membership. View our full list of benefits . Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

Replies within 24 hours Benefits: Free uniforms Opportunity for advancement Training & development Health, Wellness, and Fitness ProfessionalsRequirements: Anatomy and Physiology background/knowledge-we train qualified applicants to become stretchers with our patented equipment Communicate (via phone, in person, text messaging, emailing) with clients, management, other stretchers and sales staff Write effective notes on every client stretched in a timely and accurate manner Energetic and Personable with a wide variety of clients Compensation / Perks: $10-20 in hour Paid In-house stretching certification and training provided High-energy atmosphere Career growth opportunities Continuing education opportunities Uniform shirts provided Employment Type: Stretch Practitioner Are you looking for an opportunity to make a difference in the lives of others through health and wellness? Are you looking for a way to use your expertise to help others feel amazing? Join the movement that’s sweeping the nation…apply to be part of the team at Stretch Zone! We are seeking energetic, wellness-minded stretch practitioners to join our team. If selected, all new hires must pass a week of training where you will learn and test out on our modalities. When you work as one of our certified stretch practitioners, you offer clients a comfortable, effective experience that increases mobility, boosts energy, enhances mental clarity, and improves overall wellness. Who are we? Stretch Zone provides clients with Flex-ability for Life® by using a proprietary stretching method and a patented stabilization system. Stretch Zone seeks to improve client health and wellness. Stretch Zone facilities offer a welcoming environment, knowledgeable staff, and comfortable equipment, all of which allow clients to relax and fully benefit from our methods. Stretch Zone uses a patented strap system and proprietary tables to stabilize muscles, our certified stretch practitioners deliver a life-changing stretch experience. Responsibilities: Provides our client base with excellent customer service and effective assisted stretching techniques. Serves clients, as well as maintains and reinforces the culture of Stretch Zone in all activities. Our clients are given an individualized program that suits their specific needs. Keeps clients on schedule with their programs. All team members clean and maintain the store. Partner with the management team and front desk staff to provide outstanding service and a comfortable atmosphere for all clients/staff. At Stretch Zone, we encourage a teamwork environment! Our main goal is to improve the lives of others with our stretch practices. Stretch Zone has convenient locations throughout the United States. Learn more at stretchzone.com. Become part of the team! Compensation: $10.00 - $20.00 per hour Most stretching methodologies try to wait out, overpower, trick, or ignore the stretch reflex. The proven way to increase performance and mobility is to work with the stretch reflex with the revolutionary techniques available through the Stretch Zone® Methodology (SZM). The SZM Practitioner identifies any postural and movement limitations, then tries to correct or mitigate them through specific applied stretching sessions. With a balanced system the customer will reach their true maximum potential, whether they are an professional athlete, weekend warrior, couch potato, or suffering from chronic pain or illness. A career with Stretch Zone ® means not just meeting and maintaining a level of excellence, but continually improving in skill, to further one’s expertise and to advance the industry. As a minimum prerequisite to SZM we recommend a personal training certification in ACE, NASM, ACSM, NSCA or NCSF and/or a license in therapeutic massage or other accredited body work.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Data Science Engineering Manager, you'll lead a high-impact team that powers the personalized experiences for millions of customers. You'll manage a group of talented data scientists and engineers, guiding projects from concept to production and ensuring the delivery of scalable, high-performing machine learning systems. In this role, you'll collaborate across Product, Engineering, and other business functions to align priorities and drive measurable outcomes. Beyond execution, you'll shape strategic direction, foster a culture of innovation, and elevate technical standards across the organization. What You'll Do Lead, manage, and mentor a team of data scientists and engineers focused on delivering impactful personalization initiatives. Guide your team through the Software Development Lifecycle (SDLC), championing technical rigor and engineering best practices. Partner with Product, Engineering, and business stakeholders to scope projects, prioritize work, and deliver high-value, data-driven solutions. Foster a team culture of collaboration, experimentation, and continuous improvement. Conduct regular performance evaluations, deliver constructive feedback, and identify opportunities for growth and development. Set strategic priorities and align your team’s roadmap with larger business goals and outcomes. Promote software engineering and MLOps best practices, including automation, containerization, monitoring, and testing. Stay current on trends in machine learning, personalization, and gaming to continuously evolve our capabilities. What You'll Bring Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field; advanced degree preferred. At least 5 years of experience in data science or machine learning engineering, including 2 or more years in a formal leadership or management role. Proven expertise in Python and SQL, with experience working across modern data platforms and cloud environments. Strong understanding of the Software Development Lifecycle and experience leading teams through delivery cycles. Hands-on experience with machine learning systems, statistical modeling, and experimentation frameworks. Deep familiarity with DevOps and MLOps concepts, including containerization, automation, and production monitoring. Exceptional communication and collaboration skills, with the ability to influence cross-functional teams and executives. Experience in the gaming industry or a related domain is a strong plus. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Data Science Senior Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor on our Data Science Team in Round Rock Texas. What you’ll achieve As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Collaborate with internal and external teams to understand customer requirements Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights Develop and drive testing of algorithms efficacy for differing analytical use-cases Performs end-to-end steps involved in model development while establishing subject-matter expertise Work with the academic and business community to develop new techniques and to contribute to research in the area of large databases Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements 8 to 12 years of related experience Solid machine learning and statistical skills Solid Programming skills in Python (or any other language) Good understanding of business environment and industry trends Good communication and problem-solving skills and being customer focused Desirable Requirements Domian knowledge and understanding of Pricing industry Knowledge of industry LLMs, Agentic AI would be a plus Skilled at data storytelling—turning analytical findings into business insights and presenting them effectively to diverse audiences Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is ​158,950 to $203,500. Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

Responsive recruiter Nelson University is seeking qualified adjunct instructors to teach science courses within the College of Health Sciences. This position offers an excellent opportunity to contribute to the academic formation of students while maintaining flexibility in teaching schedules. As an adjunct faculty member, you will play an important role in delivering quality instruction in biology, anatomy, chemistry, or health sciences, helping students develop both scientific understanding and critical thinking skills within a supportive Christian higher education environment. Position Details Adjunct instructors are hired on a semester-by-semester basis to teach specific courses based on enrollment needs and institutional requirements. Teaching assignments typically range from one to three courses per semester and may include daytime, evening, or online course sections. Abbreviated Summary of Qualifications Spirit-empowered, committed follower of Jesus Christ with a mature Christian faith Committed to the doctrinal and cultural convictions of Nelson University and its parent church, the Assemblies of God Ability to integrate faith and learning in the classroom and model Christian character Master's degree in Chemistry, Biology, Physiology, Medical Sciences, or a related science field from an accredited institution; doctoral degree preferred At least 18 graduate credit hours in the teaching discipline or a closely-related field required for instruction at the undergraduate level Demonstrated expertise in one or more of the following areas: general biology, anatomy and physiology, chemistry, physics, microbiology, or health sciences Professionals with significant practical experience in scientific or healthcare fields are encouraged to apply Strong communication skills and ability to engage students effectively in both lecture and laboratory settings Primary Responsibilities Teach assigned undergraduate science courses in accordance with approved syllabi and course learning outcomes Prepare engaging lectures, laboratories, demonstrations, and learning activities that promote student comprehension and application of scientific concepts Design and administer assessments that accurately measure student learning and provide meaningful feedback Submit grades and maintain accurate records in accordance with university policies and deadlines Support the mission of Nelson University by demonstrating Christian values and integrating faith perspectives into course content where appropriate Application Information To receive more information about adjunct science instructor opportunities, including details concerning the application process and current course needs, please direct questions to Dr. Kerry Woodson, Dean of the College of Health Sciences at kwoodson@nelson.edu or the Nelson University Human Resources Office at humanresources@nelson.edu . How to Apply Submit a complete application package online at www.nelson.edu/employment , by completing the fields to the right of this screen under “Apply here”. These fields contain intake information. After clicking submit application, you will be taken to the Nelson Employment Application, where you will be asked to list references and previous employment positions. As a respected university offering bachelor's, master's, and doctoral degrees, Nelson has established itself as a leader in Christian higher education, preparing Spirit-empowered leaders who serve with excellence whether in full-time vocational ministry, business, counseling, industry, education, arts, health sciences, or politics. Nelson University (formerly Southwestern Assemblies of God University) is a vibrant, private Christian university located just 30 minutes south of the Dallas/Fort Worth Metroplex in Waxahachie. Founded in 1927, the university now offers over 70 associate, bachelor’s, master’s, and doctoral degrees, available on campus and online. As an evangelical Christian institution rooted in Biblical truth, Nelson University fosters a Spirit-empowered community where faculty, staff, and students are encouraged to live out their faith with purpose and integrity. We are passionate about equipping our team members to make a meaningful impact in both personal and professional spheres, embodying values that inspire and transform. Company website: www.nelson.edu

Why Terakeet? At Terakeet, we’re comfortable with the uncomfortable. We live in the future of marketing and are revolutionizing how the world’s most valuable brands connect and build trust with their audiences. We are experts who deliver exceptional outcomes. Together, we win. What We Do Terakeet controls online reputation and visibility for global brands. We proactively build, protect, and repair brand narratives and perception to drive trust across organic and AI-powered search using patented technology and decades of expertise. Where We Hire We are a remote-first organization hiring specifically within 60 miles of Chicago, IL., Dallas, TX., Austin, TX., Charlotte, NC., Atlanta, GA., Phoenix, AZ., Minneapolis, MN., and Syracuse, NY to help create opportunities for connectivity and collaboration in-person as you see fit. Learn more about our hiring hubs on the Careers blog. Where You Fit Our team is seeking a Data Scientist Lead who is highly motivated to take full ownership of the data science function, serving as the subject matter expert and strategic driver for the entire organization. You will define the long-term data science strategy and elevate our approach to modeling and experimentation. Notably, this position is focused on technical leadership. You'll work closely with a cross-functional team, including Business Intelligence Analysts, Data Engineers, Software Engineers and the Director of Engineering. Project direction will be provided by our Product Integration Team, who are first-party members of client teams. Your main goal is to leverage your expertise to create production-ready models and strengthen decision-making across all teams to help achieve our goals of safeguarding our clients’ reputations through their digital assets. What We Need: Reasonable accommodations may be made to enable individuals with disabilities to perform the following essential functions: Leadership and Strategy: Serve as the leader and owner of the data science function, setting technical direction, priorities, and standards. Model Design & Implementation: Design and implement predictive and prescriptive models to support key business objectives. Cross-Functional Integration: Partner cross-functionally with BI, Data Engineering, and Product/Operations teams to integrate models and insights into business processes. Performance & Scalability: Review and refine existing models, frameworks, and methodologies to improve performance and scalability. Strategic Partnership: Act as the strategic thought partner to leadership, identifying new opportunities to leverage data science for competitive advantage. Team Enablement & Mentorship: Mentor and upskill technical peers (BI analysts, engineers) in advanced analytics and machine learning concepts. Organizational Communication: Represent data science across the organization — translating complex findings into business-ready recommendations. The above description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities, and activities may change or be assigned at any time with or without notice. How We Evaluate: 10+ years of experience in data science, applied machine learning, or advanced analytics. Proven ability to lead data science initiatives end-to-end — from business framing and data preparation to modeling and deployment. Strong programming skills in Python (Pandas, NumPy, etc.) and proficiency with SQL. Extensive experience in designing and working within enterprise-level data warehouses. Snowflake experience is strongly preferred, though proficiency with similar large data frameworks will be considered. Solid experience collaborating with data engineers and BI teams to productionize models and maintain data quality. Strong grounding in statistics, experimentation, and causal inference. Exceptional communication skills — can simplify technical topics and influence senior stakeholders. Demonstrated success in non-SaaS industries. Pay Transparency The salary range for this role is $154,000 to $233,000. *This salary range is based off of the market pay for all of the United States; Terakeet applies a multiplier to this range based upon the specific geographic location of a job candidate* EEO Statement Terakeet provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law.

Join a Legacy of Innovation 125 Years and Counting! Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 18,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders. Job Summary: Daiichi Sankyo, Inc. (DSI) is currently seeking a Medical Science Liaison (MSL) to join the Field Medical Affairs Team. The MSL develops ongoing professional relationships with national and regional healthcare opinion leaders and other healthcare professionals to provide medical and scientific support for Daiichi Sankyo, Inc. (DSI) initiatives in selected therapeutic areas. The MSL develops skills and competencies to educate healthcare professionals, DSI internal stakeholders (e.g., Medical, Marketing, and Sales), and decision makers in healthcare systems regarding therapeutic areas and related products developed and commercialized by DSI. This is a US Medical Affairs, Field based role. This territory currently covers the following states: IL and IN. Responsibilities: Builds and maintains professional relationships with healthcare professionals (HCPs) by developing the skills and with guidance, implementing the following: Presenting disease state and Daiichi Sankyo product specific data to HCPs Responding to unsolicited requests for medical information Identifying and appropriately facilitating engagement of qualified 1) investigators and study committee members for DSI clinical research programs, 2) investigator-initiated research study proposals, 3) speakers for DSI Brand Speaker programs, 4) advisors for DSI scientific, clinical and marketing advisory boards Gathering customer insights regarding DSI and competitor products to help inform medical and commercial decision-making Enhanced professional expertise through attendance of select scientific meetings and professional conferences for the purpose of continuing education and scientific exchange with key opinion leaders Develops positive working relationships with local and regional internal stakeholders to enhance DSI HCP relationships Develops the ability to apply the appropriate methods to implement the FMA department strategy within his/her geography in alignment with Medical and Brand strategies Completes administrative duties, including monthly expense reporting and field activity reporting Represents the Medical Science Liaison function by participating in DSI meetings, functions, events Additional duties and responsibilities are based on position level/title, and may include but are not limited to: Provides innovation in enhancing and developing professional relationships with national and regional healthcare opinion leaders and HCPs to provide medical and scientific support for DSI initiatives. Ability to anticipate trends and capitalize on opportunities Lead special projects/initiatives. Assist in the development of team members Represent FMA leadership at DSI meetings, functions and events Qualifications: Successful candidates will be able to meet the qualifications below with or without a reasonable accommodation. Education Qualifications (from an accredited college or university): PharmD, MD, PhD, NP or PA in a health sciences-related field or an equivalent combination of education and experience required Experience Qualifications: MSL/Sr. MSL 1 or More Years’ experience, including medical & scientific affairs, clinical practice, research, academic or US-managed markets preferred Previous experience in Oncology, clinical research and medical education preferred Principal MSL/Associate Director MSL 5 or More Years’ experience including medical & scientific affairs, clinical practice, research, academic or US managed markets preferred Previous experience in Oncology, clinical research and medical education preferred Additional Qualifications: Must have a valid driver’s license with a driving record that meets company requirements Ability to travel up to 60% Compensation and seniority level/title based on experience and qualifications. Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.​ Salary Range: $150,800.00 - $226,200.00 Download Our Benefits Summary PDF

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours About the Team The Fintech Data Science team builds intelligent systems that power DK’s financial trust and risk decisioning ecosystem. Our mission is to deliver real-time, explainable, and automated risk decisions that protect our customers and safeguard the business from fraud and payment risk. You’ll contribute to DK’s first agentic AI system , built to help Risk Operations analysts act faster on alerts by summarizing behaviors, recommending next steps, and ultimately taking autonomous actions under human supervision. As an L10 Data Science Engineer , you’ll help design and deliver scalable ML systems that turn cutting-edge research prototypes into robust, production-grade solutions used daily by our operations teams. What You’ll Do Design, implement, and test AI agents that enable intelligent decisioning and automation. Build and maintain data pipelines and model services using Python and Databricks for both batch and real-time decisioning. Develop core components for data preprocessing , feature engineering , and model monitoring . Partner with senior engineers to design feedback loops that let systems continuously learn from analyst ratings and real-world outcomes. Write clean, well-documented, and testable Python code aligned with DK’s engineering standards. Collaborate cross-functionally with Risk Operations, Product, and Engineering teams to understand workflows, improve usability, and ensure high system adoption. Enhance system reliability and performance by identifying bottlenecks, optimizing pipelines, and scaling key components. What You’ll Bring Academic or internship experience in machine learning , data science , and/or software engineering . Strong proficiency in Python , with experience building ML and data pipelines. Proficiency in SQL and experience with complex data manipulation. Understanding of the model lifecycle , including validation, deployment, retraining, and monitoring. Familiarity with ML Ops tools such as MLflow, Airflow, or Databricks Workflows (a plus). Experience or exposure to Databricks , Spark , or other distributed data processing frameworks (a plus). Exposure to agentic or LLM-based systems (e.g., LangChain, OpenAI APIs, or vector databases); understanding of prompt design , evaluation , and safety mechanisms for LLMs is a plus. Eagerness to work in a fast-paced, experimental environment exploring next-generation agentic and generative AI applications. A growth mindset and strong ability to collaborate in a diverse, cross-functional team environment. Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field ( Master’s degree a plus ). Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 104,000.00 USD - 130,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Raritan, New Jersey, United States of America Job Description: Innovative Medicine Supply Chain is recruiting for a Head of Data Science & AI located in Raritan or Titusville in NJ; Horsham, PA; Zug or Basel or Schaffhausen in Switzerland; Beerse Belgium; Cork Ireland or Latina Italy. The Head of Data Science & AI plays a key strategic role for digital transformation and innovation in Innovative Medicine Supply Chain (IMSC). The role is responsible for leading the IMSC Data Science & AI Community and driving holistic Data Science & AI vision, strategy, roadmaps, capability development and deployment, model standards, process and governance, technical innovation, and talent development across IMSC. Key Responsibilities: Provide both strategic and technical leadership to drive transformative impact and competitive advantage through Data Science & AI innovation. Partner closely with business and digital leaders across IMSC functions, Business IT, IM R&D and Commercial for end-to-end collaboration. Represent J&J in industry and academic forums for thought leadership and talent attraction. Lead a team of >20 highly talented data science directors, managers, and scientists with deep hands-on expertise in Optimization, Simulation/Digital Twin, ML/AI, NLP/LLM/GenAI/Agentic AI and strong business partnership skills, Data Science Strategy & Excellence leaders, and Data Science Fellow. Lead IMSC Data Science & AI Community and define IMSC Data Science & AI vision, strategy and capability roadmaps aligned with business and digital strategy. Partner with global business and digital leaders across all functions in IMSC (Value Chain Management, Plan, Manufacturing, Procurement, Quality, Deliver, Advanced Therapy) to co-ideate, prioritize, and define the Data Science & AI portfolio of work that delivers transformative impact aligned with IMSC priorities. Define and own the Data Science & AI Hub Services that support IMSC functions to deliver value through a flexible partnership model tailored to the business needs. Lead the Data Science team to develop and deploy scalable Data Science & AI products and capabilities in partnership with Business Product Owners and Technical Product Managers, Data Engineers, and Software Engineers from J&J Technology. Oversee the development of common model standards, library, interoperable Data Science/AI assets, E2E model management workflow, and model performance reviews to enable scalability, efficiency, and compliance. Partner with Digital Strategy & Governance, JJT, and Data Management & Operations to establish technical governance processes to ensure adoption of standard and optimal models, technologies, and end-to-end architecture. Partner with Digital Strategy & Governance, JJT, and Data Management to be purposeful on make vs buy approaches. Stay current to the latest industry trends and best practices, drive technical innovation through forging strategic partnership with academia and industry innovators, guiding research and experimentation on the cutting-edge Data Science & AI technologies. Create future-ready and purposeful talent strategy to develop world-class data scientists and upskill broader IMSC workforce in AI fluency. Provide coaching and mentorship & training to data science talent across IMSC and J&J. Partner with Data Science & AI leaders in R&D, Commercial, JJT, and other functions across Innovative Medicine and J&J for end-to-end strategy and capability build, and cross-functional sharing and collaboration. Deliver a clear education plan for Talent workforce to upskill and ensure adoption withing the functions. Present in leading industry and professional forums to strengthen J&J’s external presence and attract top talents in Data Science & AI. Education Qualifications: A Master's Degree, or PhD in Computer Science, Engineering, Applied Mathematics or a related field. Other: This position requires up to 20% travel-Domestic or international Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LIHybrid #JNJData Science Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking The anticipated base pay range for this position is : $246,500- $333,500 Additional Description for Pay Transparency: The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. * Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. * Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). * Employees are eligible for the following time off benefits: o* Vacation – up to 120 hours per calendar year o* Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year o* Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year * Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

At Mad Science, we are having a blast! We pay you to have fun! Build and fly rockets, demonstrate lasers, explore the states of matter using dry ice, and help children create slime and other polymers. You will inspire the next generation of scientists through our innovative activities that show kids what science is really about. Company Overview Our mission is to inspire children through science, sparking lifelong imagination and curiosity. For over 30 years, we have delivered unique, hands-on science experiences for children through our after-school programs, birthday parties, workshops, special events, and summer camps. Our innovative programs are as entertaining as they are educational! Job Summary As a Mad Scientist, you will lead students through an inquiry-based discovery method involving instructor demonstrations, hands-on activities, and amazing take-home projects that will illustrate how science affects the world around us. Mad Science is the world’s leading provider of fun science programs for elementary-aged children. Responsibilities Facilitating a one-hour after-school science enrichment program using a pre-set, easy-to-understand curriculum. These are located throughout the Phoenix area. Each session is high-energy. It’s part entertainment, part education, through a hands-on after-school class that meets for one hour each week for 4 to 20 weeks. We have a constant rotation of new classes to teach. Enjoy teaching children the fascinating wonders of science! Qualifications Experience working with children is an asset A reliable car Flexible working hours (mostly in the afternoons) Fun and outgoing personality! Ability to pass a background check Compensation: $18.00 per hour Mad Science is a powerhouse brand with locations around the globe! For over 35 years, we have sparked imaginative learning through our summer camps, birthday parties, in-class workshops, after-school programs, and special events for kids ages 3-12. Become part of our team and help us inspire the next generation of scientists and engineers. Our locations are always looking for part-time instructors and full-time office staff.

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 Manager, Data Science, Ads Ranking to join Snap Inc. What you’ll do Lead a team of data scientists focused on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience Help build and manage a team of high performing data scientists and help them execute along the most important priorities and deliver world-class products Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best Work cross-functionally and partner with product managers, engineers, and researchers to to develop data-driven strategies that shape product direction Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate what it all means Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement Define and drive the data science roadmap for ad ranking, including model development, experimentation, actionable insights and measurement framework Build scalable methodologies for experimentation and causal inference to assess the impact of ranking changes and new product features Translate complex technical findings into actionable insights and strategic recommendations for leadership and cross-functional stakeholders Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team Knowledge, Skills, Abilities: Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing and ad load Understanding of statistical analysis, experience with packages, such as 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 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 Industrial knowledge in ad ranking or recommendation systems Minimum Requirements BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience 7+ years of experience in quantitative analysis & data science or a related field 3+ years experience in a leadership role within a data organization Preferred qualifications Advanced degree in a quantitative field (Economics, Computer Science, Physics) Experience forming partnerships with cross-functional leaders in engineering, product, design, research, etc. Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance. Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company 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 $229,000-$343,000 annually. Zone B : The base salary range for this position is $218,000-$326,000 annually. Zone C : The base salary range for this position is $195,000-$292,000 annually. This position is eligible for equity in the form of RSUs.

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Senior Manager, Machine Learning Science- Post Booking Introduction to the Team: Are you passionate about using machine learning to improve Customer Experience? Would you like to work in the fast-paced, competitive, customer-focused, and data-rich world of online travel? As a Senior Manager of Machine Learning Science, you will be an established people leader, guiding a talented team of 5-10 data scientists. Your mission will be to develop state-of-the-art machine learning algorithms that power and enhance the customer experience across highly complex post-booking recommendations, customer service, and trip management use cases . You will collaborate with senior management, product, and engineering partners to deliver a high-impact portfolio of work while fostering a high-performing, well-managed, and talented team. You will tackle substantial technical challenges, from inference problems arising from long-tail traveler data to multi- objective optimization problems i n the highly dynamic , operationally complex environment of customer service . Your passion for the craft of statistics , machine learning , and causal inference will unlock tangible growth for our business by exploiting these rich data sets and building effective solutions for travelers and our partners. We are looking for a leader to shape the next generation of intelligence for Expedia Group's Post-Booking organization . As a Senior Manager of Machine Learning Science, you will guide a talented team of scientists responsible for the algorithms at the core of our post-book ing business , helping to anticipate traveler needs, personalize dynamic add-ons and upsells, and improve servicing experiences . You will partner with senior leaders across product and engineering to define a high-impact vision, tackling fundamental challenges in predictive modeling and Generative AI to improve customer satisfaction and loyalty , lower cost-to-serve, and make travel more seamless for millions of customers and partners worldwide. In this role, you will: Lead, Mentor, and Develop: Mentor and grow a team of 5-10 machine learning scientists, fostering a culture of innovation, collaboration and scientific rigor . Strategic Planning & Delivery: Define and manage the team's strategic roadmap, setting goals (OKRs) and aligning projects with broader business objectives in the online travel domain . Translate this roadmap into effective delivery of ML-drive features and products. Influence and Collaborate: Act as a key scientific leader, partnering with product, engineering, and business executives to align strategy and communicate complex technical concepts to a diverse audience. Minimum Qualifications: You have 5+ years of industry experience applying machine learning to solve real-world problems. You have 2+ years of direct people management experience with a proven track record of hiring, mentoring, and developing a high-performing team of scientists or engineers. You have d eep expertise in machine learning theory, statistical methods, and the scientific principles of measurement necessary to guide the team's technical direction and ensure scientific rigor. You have a comprehensive understanding of the end-to-end ML lifecycle, from ideation and research to deployment and monitoring. You have h ands-on fluency in Python and its data science ecosystem (e.g., PySpark , scikit-learn), and SQL . Technical depth to unblock your team and contribute to architectural decisions. Preferred Qualifications: PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics). You champion software engineering best practices (e.g., version control, code reviews) within the team. A passion for fostering healthy team culture that brings a balanced approach to individual team member career growth and collective goal of delivering impactful work . Advanced domain knowledge in customer service, recommendation systems, operational applications of ML, and/or e-commerce Experience building and deploying models using GenAI /LLM technologies The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role. Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience. Pay ranges may be modified in the future. Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent ( IATAN ) membership. View our full list of benefits . Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request . We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs . Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.