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The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be a key player in using data and scientific techniques to enhance Asana’s marketing effectiveness. You will work closely with marketing leadership and the wider Asana data community, unearthing new opportunities to advance our marketing capabilities and efficiency. You will lead a team of data scientists, collaborating with marketing leadership to influence overall marketing strategy. Your enthusiasm for mentoring and leading a team will be matched by your drive to solve complex technical challenges. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve: Propel the Marketing Data Science team in executing its roadmap aimed at enhancing marketing initiatives, including projects like Lead Scoring, Media Mix Modeling (MMM), Multi-touch Attribution (MTA), and Spend Optimization. Lead and nurture a team of over four data scientists at varying levels, guiding their professional growth and expanding the team as necessary for ongoing business success. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Take on a leadership role within the broader Asana Data Community, interacting with other Data Science teams, Data Engineering, and Analytics, along with MarketingOps and Paid Media teams that heavily rely on data outputs. Educate partners on emerging capabilities in the marketing data science space, acting as an advocate and guide to demonstrate its potential benefits. About you: Over 5 years of experience in a comparable data science role. At least 2 years of experience in managing a team of at least three data scientists. More than 4 years of experience collaborating with Marketing functions on projects like Multi-touch Attribution (MTA), Media Mix Modeling (MMM), geo-based testing, Spend Optimization, and Life-Time Value Modeling (LTV). Extensive track record in developing and implementing scalable machine learning solutions and data products that align with our business’s evolving needs. Strong expertise and proven experience in orchestrating data-driven marketing strategies. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. 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 base salary range is between $258,000 - $328,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. 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. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans 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. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are 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. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. #LI-Hybrid #LI-AS2

PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world's largest advertisers. Finding a better way is our ethos and sums up how we approach everything - from a new client brief to the way we work. PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world's leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity and innovation has seen us grow from a challenger agency in the UK, to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world's largest advertisers. Finding a better way is our ethos and sums up how we approach everything - from a new client brief to the way we work. At PHD, we provide our clients with powerful and innovative media strategies, along with big ideas that are driven by insights. PHD Data Scientists deliver analytic solutions across a wide variety of client applications and help brands to connect better with the customers. They process and integrate big data in data clean rooms from media advertising platforms including the first party and the third-party data and support business insights and growth solutions. Our data scientists build advanced predictive models utilizing machine learning and advanced statistic. PHD data scientists leverage data to address various types of marketing challenges such as audience creation, segmentation, identifying audience journey, optimization, digital attribution, customer retention, customer behavior prediction, and cross channel customer experience. Role Overview: We are currently seeking a Senior Director to join our Data Science team. The ideal candidate will be a data science leader with the responsibility of managing expectations of internal and external stakeholders, performing predictive modeling and data queries across a multitude of platforms in Advertising and Marketing Technology domains. You will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. You will contribute to the delivery of smart marketing and strategic advice through the combination of data & insights gleaned through statistical and machine learning models, as well as data mining. By applying machine learning and data query methods, you will be a liaison between data and our client's decision-making process. You will also inform internal and external stakeholders and prospective clients on ways of improving business processes. Areas of Responsibility: Maintain a productive relationship with clients at the peer level or higher to ensure they are informed of any new activities or updates to existing projects Participate on multi-disciplinary project teams developing marketing strategies for existing customers, as well as prospective clients Coach and manage the learning path of other Data Science team members by standardizing processes and owning documentation Present complex reporting, models, and dashboards of technical work to both informed and uninformed audiences through data storytelling to support media investment Set up analysis parameters in partnership with Advertiser, Media Strategy and Digital Investment team Build modeling and machine learning capabilities by deploying algorithms on top of our vast number of datasets, e.g., clustering, look-a-like modeling Support Digital Attribution and Advertising Lift models built in data clean rooms Evaluate model performance to determine cut-off points and audience targeting pools for deployment, e.g., lift charts Obtain data from various sources, including but not limited to Amazon storage service S3, Omnicom 3P data partnerships, data clean rooms from walled-gardens, e.g., Google Ads Data Hub, Facebook Advanced Analytics, Amazon Marketing Cloud Deploy scalable solutions to our cloud-based infrastructure to process, visualize and analyze data Requirements: 10+ years of experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing in academia or industry 8+ years of industry experience with Python, SQL, R, and other similar statistical computing environments Very strong written and verbal communication skills; thrive in a rapidly evolving environment Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling (New graduates will also be considered depending on their educational background and academic record) Strong command of statistical techniques and concepts Strong attention to detail A strong desire to learn and passion for digital marketing, research and analytics Ability to work well with others and work in cross functional teams Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment #LI-CC1 This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. Compensation Range $180,000-$220,000 USD This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs. Review Our Recruitment Privacy Notice

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

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

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

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

Description Position at CFO Services *** DO NOT APPLY! THIS IS A TEST JOB POSTING We are looking for a candidate who can work full-time with a flexible schedule based on operating hours. Our ideal candidate is someone who has these qualities: Positive Attitude. You approach work in a cheery and optimistic way. Reliable & Dependable. You like to see a job well done and will ensure that things are done the “right” way. You show up for all scheduled shifts on time and ready to work. Self Starter. You are comfortable owning a task from start to finish and you take the initiative to make continuous process improvements. You observe strict deadlines and hold yourself accountable for your deliverables. Multi-Tasking Expert. You can work in a sometimes hectic workspace without getting flustered or losing your helpful personality What You'll Be Doing You will be the "go-to-guy" for all of our clients’ needs - from facilitating support requests to educating our clients about our product. You will create and maintain relationships with our clients via email, phone, text, and various social media channels. Our primary channel of communication is through email. You will foster a community of online and offline advocates. What We Are Looking For You are articulate. You have strong written, verbal and interpersonal skills. Even better, you practice empathy in all spheres. You will be happy to eloquently respond to at least 50 emails per day as well as taking calls from customers. Some of these emails will take only a few seconds to respond to while others may take longer for the perfect personal touch. You understand the importance of details. You don’t sweat the small stuff and thrive in a fast-paced and ever-changing environment, yet you have a keen ability to recognize nuance. You have experience with customer service, meeting sales targets and are excited to facilitate the ultimate customer experience. You are team-oriented. You understand the importance of a positive attitude, you are always seeking personal and professional growth and you are always there to lend a hand. Happy to work afternoon and evening shifts as required. Able to type at a minimum of 50 words per minute with 100% accuracy. What You Can Expect An inclusive, fun workplace filled with fantastic colleagues. The ability to work from home or from our head office Competitive pay and bonuses, as well as the opportunity to participate in our Employee Stock Option Plan. Comprehensive health benefits (including medical, dental, vision and life-insurance) after 90 days of successful employment. We are an Equal Opportunity Employer (EOE) and prohibit discrimination of any kind. We value diversity at our company and at all job levels our goal is to be diverse, inclusive and representative of the communities where we operate. "Neque porro quisquam est qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit..."

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

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

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

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

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

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

Turn it up to 11 as a Data  Scientist !   Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what’s possible.  We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture.  We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We’ve created a work environment in which you can expect:  Individualized Professional Growth:  You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and develop your skillset Work life balance: We are respectful of people’s boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs  Vibrant company culture:  We love to keep things light-hearted, both within our client work and at companywide events  What you can expect in this role: Conduct detailed analyses to understand and explain business problems and utilize standard analysis skills Create clear and actionable Data Science roadmaps and supporting business cases Communicate Data Science methodologies to non-technical audiences Work with digital design and engineering practices on end-to-end solutions Identify the right data science and machine learning solution for the client’s problem Tools for success: At least 2 years of Data Science experience Fluent in SQL and Python Experience seeing through a data science project from scoping to solution Fundamental knowledge of advanced analytics topics such as probability, hypothesis testing, research design, and machine learning algorithms Experience communicating your results visually Experience deploying models into a cloud environment Experience building applications that leverage GenAI/LLMs   This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. Please note employees must be authorized to work for any employer in the U.S. Inspire11 is unable to sponsor or take over sponsorship of an applicant’s employment visa. Compensation Range for Associate Consultant to Managing Consultant:  $68,086 - $178,210 For more information regarding our compensation and benefit offerings please see below: U.S. Compensation & Benefits  Compensation at Inspire11   Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  Bonuses   We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team, Market Directors, and Managing Directors will work together to grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   Options or Other Equity in Inspire11  Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  Benefits   Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   Medical insurance plans,  Dental insurance plans, and  Vision insurance plans.  Full-time employees are eligible for the following benefits provided wholly by the Company:  Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period;  Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67;  Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   A connectivity stipend of $25 per month;  Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions on the first 3% of an employee’s salary and 50% of employee contributions from 3% to 5% of an employee’s salary.  Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   Flexible savings accounts,  Limited-purpose flexible savings accounts,  Healthcare savings accounts,   Dependent care savings accounts,  Commuter benefit accounts.  Paid Time Off and Leave  Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   The Company also gives paid parental leave to full-time employees who have worked for Inspire11 for a year prior to taking leave, including up to 12 weeks of paid parental leave to birth parents and up to 6 weeks of paid parental leave to non-birthing parents. This paid leave can be taken within the first 6 months after the child’s arrival and is in addition to short-term disability leave (for eligible parents).  Lastly, Inspire11 has eight paid holidays.  Other Benefits  Inspire11 also maintains other programs that provide additional benefits to employees, such as:   Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year.  Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval.  Regular gifts of Inspire11 clothes, office items, and swag.  Disclaimer  This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  EEOC Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Turn it up to 11 as a Data  Scientist !   Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what’s possible.  We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture.  We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We’ve created a work environment in which you can expect:  Individualized Professional Growth:  You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and develop your skillset Work life balance: We are respectful of people’s boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs  Vibrant company culture:  We love to keep things light-hearted, both within our client work and at companywide events  What you can expect in this role: Conduct detailed analyses to understand and explain business problems and utilize standard analysis skills Create clear and actionable Data Science roadmaps and supporting business cases Communicate Data Science methodologies to non-technical audiences Work with digital design and engineering practices on end-to-end solutions Identify the right data science and machine learning solution for the client’s problem Tools for success: At least 2 years of Data Science experience Fluent in SQL and Python Experience seeing through a data science project from scoping to solution Fundamental knowledge of advanced analytics topics such as probability, hypothesis testing, research design, and machine learning algorithms Experience communicating your results visually Experience deploying models into a cloud environment Experience building applications that leverage GenAI/LLMs This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. Please note employees must be authorized to work for any employer in the U.S. Inspire11 is unable to sponsor or take over sponsorship of an applicant’s employment visa. EEOC Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status

Turn it up to 11 as a Data  Scientist !   Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what’s possible.  We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture.  We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We’ve created a work environment in which you can expect:  Individualized Professional Growth:  You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and develop your skillset Work life balance: We are respectful of people’s boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs  Vibrant company culture:  We love to keep things light-hearted, both within our client work and at companywide events  What you can expect in this role: Conduct detailed analyses to understand and explain business problems and utilize standard analysis skills Create clear and actionable Data Science roadmaps and supporting business cases Communicate Data Science methodologies to non-technical audiences Work with digital design and engineering practices on end-to-end solutions Identify the right data science and machine learning solution for the client’s problem Tools for success: At least 2 years of Data Science experience Fluent in SQL and Python Experience seeing through a data science project from scoping to solution Fundamental knowledge of advanced analytics topics such as probability, hypothesis testing, research design, and machine learning algorithms Experience communicating your results visually Experience deploying models into a cloud environment Experience building applications that leverage GenAI/LLMs   This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. Please note employees must be authorized to work for any employer in the U.S. Inspire11 is unable to sponsor or take over sponsorship of an applicant’s employment visa. EEOC Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status

Graduate Management Admission Council (GMAC™) is a mission-driven organization, with a vision to be the global leader in ensuring every talented person can benefit from the best business education for them. The organization’s priority is to heighten its impact in promoting graduate management education and attracting a qualified and diverse candidate pool from around the world. The Director, Research and Data Science is responsible for overseeing the department and supporting the Council’s commitment to disseminating actionable and relevant information about the management education community. FLSA Status: Exempt Report to: Senior Vice President, School & Industry Engagement GMAC’s value proposition offers our talented employees the ideal climate for innovation, and colleagues who are motivated and proactive, with diverse backgrounds and approaches. As a global organization, we understand and appreciate the benefits of myriad cultural perspectives. GMAC is wholly committed to recruiting, developing, and retaining a diverse group of talented people, and providing equal employment opportunities to all employees and applicants without regard to the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, disability, sex (including pregnancy, childbirth, and related medical conditions), marital status, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable federal, state or local laws.

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

Title: Data Science and Analytics Location: New York Duration: 3 Months Required Skills: • Website/mobile (Adobe Analytics) • Data Visualization: advanced Excel, Tableau, Power BI • Marketing Automation • Adobe Test & Target Preferred Skills: • Adobe Analytics • Adobe Test & Target • Marketing Automation Who are you? • Bachelor’s degree, in Marketing, Business, • 8-10+ years of work experience in a quantitative business environment with 5+ years in marketing analytics • Passion for digital analytics, working with data and deriving insights to answer client business questions • Experience leading and delivering marketing analytics engagements • Strong knowledge of the digital space and digital analytics • Strong communication and client service skills • Strong organizational skills and attention to detail • Strong consultative skills and the ability to challenge status quo and gain adoption • Comfortable with working in and contributing to a fast-paced, team-based environment • Management or mentorship experience - providing training, project support, career advice and delegated responsibilities • Proven ability to influence stakeholder and senior leaders, and manage organizational change • The candidate should be a hybrid of analyst, but also storyteller. • Being able to distill data into keen, actionable insights. • They need to be able to synthesize the data. So we need someone who is an excellent verbal and written communicator