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At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is flexible- Flexible- Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources, including RWD, trial data and emerging innovative data sources, to support clinical programs and regulatory decision-making. We are seeking a visionary Senior Director to lead Real-World Evidence (RWE) strategy and execution across therapeutic areas (xTA). This role will be pivotal in shaping the future of RWE at the organization - driving internal/external collaborations, advancing regulatory-grade evidence generation, and elevating our scientific leadership both internally and externally. The successful candidate will partner closely with senior leaders across R&D and commercial to build an integrated, agile, and forward-thinking RWE ecosystem. This includes leading strategic initiatives, influencing regulatory policy, and representing organization as a thought leader in the global RWE community. Key Responsibilities Strategic Leadership & Ecosystem Building Define and execute the RWE initiatives across therapeutic areas, ensuring alignment with long-term organizational goals. Lead cross-functional RWE committees and foster high-impact partnerships with internal and external stakeholders. Shape and elevate the enterprise-wide RWE ecosystem through innovation, governance, and capability building. Regulatory Policy & Scientific Influence Serve as a strategic advisor on regulatory-grade evidence generation and policy shaping. Lead preparation and presentation of scientific data packages for regulatory submissions and agency interactions. Represent J&J in external forums to influence RWE standards and regulatory expectations. Scientific Leadership & Methodological Excellence Chair the Methodology Review Board (MRB) and oversee a portfolio of high-impact RWE projects. Establish best practices for novel study designs and implementation. Promote continuous learning and innovation in emerging RWE methodologies and technologies. Develop frameworks and tools to scale evidence generation and accelerate delivery. Champion a culture of scientific rigor, collaboration, and execution excellence. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 7+ years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods. Experience with diverse data sources (EHR, claims, registries, trial data, digital health). Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. Preferred qualifications: Expertise in regulatory-grade evidence generation and regulatory engagement. Strong leadership in cross-functional initiatives and ability to influence without authority. Subject matter expertise in key therapeutic areas including Oncology, Immunology, Neuroscience. Experience in matrixed organizations and global stakeholder engagement. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS The anticipated base pay range for this position is : Additional Description for Pay Transparency:

About Omnidian Omnidian, Inc. is a fast-growing Series C tech-enabled service company revolutionizing performance assurance for the distributed solar and energy storage industries. Omnidian is building a more sustainable future for the planet through our passionate teams, our innovative technology, and by creating an amazing customer experience. We are headquartered in Seattle, WA The Job We are seeking a seasoned and strategic Director of Data Science to join our technology team. This is a unique opportunity to lead a small, high-impact team at the heart of our mission. This role isn't about research for its own sake; it's about building and operationalizing data science technology that will become a working, indispensable part of our day-to-day operations. You will directly influence our product, our service delivery, and our ability to accelerate clean energy adoption. If you are passionate about applying data science to solve real-world problems and want to lead a team that will have a strong, measurable impact on the future of our company, this is the role for you. What You'll Do At Omnidian we believe in trust and autonomy. How you create an impact is ultimately up to you. Here is an outline of some of the things you'll be doing:Team Leadership & Strategy (40%) Lead, mentor, and grow a high-performing team of data scientists and ML engineersFoster a culture of innovation, collaboration, and rapid deliveryDevelop and execute the data science roadmap and strategy, aligned with company goalsSet clear priorities and measure impact against KPIs Operationalizing Data Science (35%) Integrate predictive and prescriptive analytics into core technology and processesArchitect and oversee scalable, production-ready data pipelines and ML modelsCollaborate with Engineering, Product, and Operations to prioritize and execute high-value opportunities Industry Influence & Thought Leadership (25%) Serve as a subject matter expert in renewable energy data scienceRepresent Omnidian at industry events, conferences, and with key stakeholdersAdvocate for best practices in data science and ML deploymentEngage directly with clients to understand needs, present insights, and demonstrate value Who You Are Strategic Leadership- Guides team vision while delivering measurable results Technical Excellence- Deep expertise in ML, statistical modeling, and experimentation Cross-Functional Collaboration- Communicates effectively across technical and non-technical teams Execution Focus- Turns strategy into scalable, operational solutions Mission-Driven Mindset- Passionate about clean energy and sustainability Experience You'll Need Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics) or equivalent practical experience; advanced degree is a plus. 7+ years of experience in data science, with a proven track record of building and deploying models in a production environment 4+ years of experience in data science leadership, building and managing data science teams Proven experience building and scaling data science teams from the ground up Deep expertise in machine learning, statistical modeling, and experimental design. Strong programming skills in Python and expertise with a relevant data science stacks (e.g., pandas, etc). Experience with cloud platforms (e.g., AWS, GCP) and big data technologies (e.g., Apache Spark). Exceptional communication and collaboration skills, with the ability to translate complex technical concepts to non-technical stakeholders. Passion for clean energy and a strong desire to contribute to a mission-driven company. Work-life and Culture Most of our roles offer the opportunity to work remotely If you are in the Seattle area, we offer a vibrant office space in the historic and beautiful Smith Tower, in the heart of Pioneer Square We prioritize applicants near one of our employee clusters and offer one or more local gatherings per year We provide outstanding benefits including family medical, dental, vision, disability, 401(k) administration and $1k match per year and thoughtful paid time off We offer 12 weeks of paid parental leave to all FTE employees (birthing and non-birthing) after 1 year, and four-week paid sabbatical leave after four years We offer a competitive total compensation package that includes monthly health insurance premiums, bonuses and long-term stock options for every employee We love to lift each other up through company-wide slack channels such as #puppiesandpets, #omnidian-wellness, #praiseandbooms and #sustainablefuture We have affinity groups to help employees feel seen and supported, such as Rainbow Array, BIPOC, Thriving Survivors, Vets at Omnidian, Black Lights Matter and Neurospicy R Us We are a passionate, mission driven team that believes in collaboration, mutual respect and trust. For examples, come Discover our Story! Grow With Us We mentor and invest in our employees and prioritize them for future opportunities. Check out our Instagram reels to see a few career journey examples Internal candidates: Check out our advice on Internal Transfer: Job Application Process Here are the next roles in this career track: Senior Director, Data Science Vice President, Data Science We're a fast-growing startup, which means we're constantly reinventing processes, adding new products, and asking people to use all of their skills and talents. That means there's gonna be a lot of opportunities for you to grow, which also means you will likely be stretched in ways you've never experienced in a job before. If you are resilient, determined, and not afraid of a big challenge, come apply. $167,900 - $304,750 a year Midpoint: $230,000 Comprehensive Benefits: We've got you covered with 100% of health insurance monthly premiums for employees, and 50% for dependents. Performance Bonus: Because exceptional work deserves exceptional rewards. Eligibility begins after 90 days. Equity Stake: Join us in shaping the future and be rewarded for your dedication with stock options. Continuous Growth: Up to $500 annual learning reimbursement because investing in your development is investing in our success. Committed to Parity: We place candidates within the band based on professional experience, not negotiating skills, as part of our overall effort to avoid gender pay discrepancy. Privacy California-based candidates: To understand more about the data we collect and process as part of your application, please view our California Job Candidate Privacy Policy. https://www.omnidian.com/privacy-policy-ca-candidates/ Diversity and Inclusion We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our customers. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. We value diversity and inclusion and are committed to ensuring our hiring and retention practices, as well as our office culture, reflects this value. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Omnidian is an equal opportunity employer. We are committed to diversity in the workplace. We make employment decisions on the basis of merit and business need. We hire without consideration to age, ancestry, citizenship, disability, gender expression, gender identity, marital status, national origin, political activity or affiliation, race, religion, sexual orientation, veteran status, or any other basis protected by law. We invite you to be part of our mission to create a workplace that is inclusive and welcoming to all.

In a world of possibilities, pursue one with endless opportunities. Imagine Next! When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for. Job Description: Parsons is looking for an amazingly talented Artificial Intelligence/Data Science Engineer to join our team! In this role you will become a member of the Parsons' TEAMS NEXT support staff with a primary work assignment supporting the Missile Defense Agency's Command, Control, Battle Management and Communications (C2BMC) Development organization. This assignment requires a seasoned professional that is experienced with AI initiatives aimed at supporting business operations efficiencies. What You'll Be Doing: Develop and integrate agentic AI tools and pipelines across the Directorate functional and product offices leveraging unstructured data sets. Develop BizOps support using MIRA and METRIC tools to support C2BMC acquisitions Develop AI Description Documents (AIDDs) and Use Cases for senior level review Develop AI minimum viable products (MVPs) Support/drive the transformation of C2BMC AIRLs Support/drive the transformation of C2BMC DRLs What Required Skills You'll Bring: Master's degree in STEM and 12+ years of relevant experience Active Secret clearance required Experience as Artificial intelligence (AI)/Data Engineer Experience with AI pipeline development (specifically Palantir Foundry) Understanding of AI commercial use of AI models, large language models, and agentic AI What Desired Skills You'll Bring: Experience with Missile Defense Agency preferred Security Clearance Requirement: An active Secret security clearance is required for this position. This position is part of our Federal Solutions team. The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now. Salary Range: $120,800.00 - $217,400.00 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status. We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .

About Suno Suno is a music company for the next generation of creators. Its AI-powered platform makes it easy for anyone to create original music. Built by musicians and engineers, Suno empowers users to turn ideas into fully produced tracks in minutes and unlocks a more rewarding music making experience full of endless new creative possibilities. Whether you're a first-time songwriter or a seasoned artist, Suno helps you make music that's meaningful, personal, and uniquely yours. About the Role As our first Marketing Analyst, you'll establish and lead our growth analytics function, playing a foundational role in shaping Suno's growth strategy from the ground up. You'll work at the intersection of data science, analytics, and growth optimization, partnering closely with growth, product, and marketing teams to accelerate user acquisition and enhance user retention. This role combines deep analytical expertise with strategic thinking to unlock growth opportunities across the entire user journey, with significant influence on both paid marketing and product-led growth. This role is perfect for someone who thrives in open-ended and high-responsibility environments and is excited about the challenges and opportunities of joining an early-stage startup. Check out our Suno version of the job here! What You'll Do Drive growth strategy through rigorous analysis of both product usage patterns and marketing channel performance Design and analyze experiments across product features and marketing campaigns to optimize user acquisition, activation, and retention Develop and maintain attribution models to understand the effectiveness of various growth channels and optimize marketing spend Build predictive models for user behavior, including conversion propensity, churn likelihood, and lifetime value Partner with data engineering to ensure robust data collection and transformation for growth analytics Partner with product and engineering teams to execute and prioritize growth projects Translate complex analyses into clear, actionable recommendations for stakeholders across product, marketing, and executive teams What You'll Need 5+ years experience in data science, with specific experience in growth and paid / performance marketing Strong quantitative foundation and experience in statistical modeling Expertise in experimental design, with demonstrated experience running both product and marketing experiments Worked closely on defining and measuring growth, onboarding, and retention metrics Advanced proficiency in SQL and Python for data analysis, statistical modeling, and automation Excellent communication skills and experience working across multiple functions to influence key decisions A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning Perks & Benefits for Full-Time Employees Company Equity Package 401(k) with 3% Employer Match & Roth 401(k) Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options) 11 Paid Holidays + Unlimited PTO & Sick Time 16 Weeks of Paid Parental Leave Creative Education Stipend Generous Commuter Allowance In-Office Lunch (5 days per week) Additional Notes: Applicants must be eligible to work in the US. Suno employees are expected to work 5 days/week in one of our offices. Base Salary Range: $170,000 - $230,000

Job Description Infosys is seeking an AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions, including Large Language Models (LLMs) and Agentic AI architectures. The ideal candidate will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. Required Qualifications: Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. Candidate must live within commuting distance of Lake Mary, FL OR Pittsburgh, PA or be willing to relocate. This position may require travel in the US. At least 4 years of experience in Information Technology Applicants authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time At least 4 years of experience in Python programming, including OOPs, data structures (queues, stacks, linked lists), and API development. At least 3 years of experience in Big Data technologies (e.g., BigQuery, Hadoop). At least 2 years of experience in cloud platforms (Azure, GCP) and their AI/ML services. At least 2 years of experience in ML model development, data engineering, and software engineering principles. At least 3 years of experience in MLOps and AI/ML deployment (e.g., SageMaker, Snowflake). At least 2 years of hands-on experience in Generative AI, LLMs, and agentic frameworks. Preferred Qualifications: Experience with API Gateway development and deployment on Azure/GCP. Hands-on experience with vector databases and RAG pipelines. Familiarity with CI/CD, DevOps, and automation tools in AI/ML contexts. Strong problem-solving skills and ability to evaluate multiple solution paths. Excellent communication and stakeholder management skills. Domain expertise in Banking, Finance, or Capital Markets is a plus. The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Our Oncology team is focused on the elimination of cancer by discovering new pathways and modalities to finding treatments and cures. We lead where medicine is going and need innovators with an unwavering commitment to results. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for an Associate Director, R&D Data Science & Digital Health - Oncology/Prostate Cancer to join the J&J Research and Development Data Science and Digital Health team. You will report to the Head of Solid Tumor Oncology, Data Sciences. This position can be located at one of our offices in either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA, and may require up to 15% travel. Role Summary The R&D Data Science & Digital Health, Oncology Therapeutic Area team at J&J Innovative Medicine is dedicated to developing innovative solutions and critical insights to support clinical programs and regulatory submissions. This Associate Director role, sitting on the Solid Tumor Oncology team, will direct and lead efforts to bring innovative Data Science approaches to late-stage Oncology Compound Development Team(s) with a specific focus on the Prostate Cancer portfolio. You will work with cross-functional collaborative teams to transform Oncology clinical trials through cutting-edge AI, digital health technologies, and advanced statistical methodologies. This may include the discovery, development, and validation of novel AI endpoints, analytics to support study design and development, or innovative digital pathology approaches in support of translational research objectives. By combining deep knowledge of Oncology with expertise in Data Science and Digital Health, you will deliver solutions that enhance patient-centricity, streamline trial execution, and support regulatory and payer acceptance. You will be a thought leader within Johnson & Johnson -- driving strategic collaborations, championing innovation, and elevating Data Science capabilities in Oncology. The successful candidate will lead multidisciplinary teams, manage internal and external partnerships, and provide technical expertise to enhance R&D success and patient impact. The Associate Director will: Serve as primary scientific and strategic business leader for clinical-stage Prostate Cancer Programs within Data Science & Digital Health. Represent Data Science to Compound Development Team (s), where you will identify, develop and deploy Data Science capabilities and solutions. Provide subject matter expertise in prostate cancer clinical development, trial design, real-world evidence generation, and ML/AI tools. With internal and external teams, leverage advanced analytics, including statistical models and AI/ML, to uncover insights from these complex datasets Work closely with individual clinical project teams as well as functional area partners in Regulatory Affairs, Market Access, Clinical Development, Epidemiology, Commercial Data Science, Statistics, and others to deploy Data Science solutions. Evaluate and manage external partnerships that can leverage new technologies/solutions/data assets for Prostate cancer program needs Required Qualifications: Advanced degree (PhD, MD, PharmD or MS) in a field experienced working with high-dimensional datasets (e.g., Data Science, Pharmacoepidemiology, Biostatistics, Outcomes Research, Public Health, Computer Science). 5+ years of experience in pharmaceutical, biotech, or healthcare analytics, with a focus on oncology and/or hematology. An understanding of common data science research practices, such as predictive technologies, data mining and/or text mining Hands-on experience with a range of data science use cases in R&D (e.g., ECAs, site selection algorithms) and strong problem-solving abilities Experience working with healthcare-related datasets, such as electronic health records (EHR), real world data (RWD), or genomics datasets, with an understanding of their structure, limitations and applications to research. Prior experience working and driving external partnerships, either corporate or academic setting Proven track record of managing timelines and driving key deliverables in a matrixed organization Excellent communication, interpersonal, and written skills Preferred Qualifications: Working knowledge of genitourinary clinical oncology, such as treatment paradigms, patient experience, and clinical trials Hematology/ Oncology fellowship training R&D Experience at a pharmaceutical company, biotech or partner organization Knowledge of regulatory science. This position currently has the option to follow a hybrid schedule of 3 days per week working on site and 2 days per week working remotely (no fully remote option available), and can be located at one of our offices in either Spring House, PA; Titusville, NJ; Raritan, NJ; New Brunswick, NJ; Cambridge, MA; or San Diego, CA. Up to approximately 15% travel may be required. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: R&D Product Development Job Sub Function: R&D Machine Learning Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Senior Director of Generative AI - R&D Data Science & Digital Health. This position can be located in New Brunswick, NJ; Titusville, NJ; Springhouse, PA; La Jolla, CA; Cambridge, MA; Beerse, Belgium; High Wycombe, UK; or Zug, Switzerland. This position will require up to 25% travel. Candidates interested in the UK, Switzerland, or Belgium please apply using requisition: R-037006 Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine About the Role: We are seeking a highly technical leader in Generative AI for our Research & Development Data Science & Digital Health (DSDH) organization. This position reports directly to the VP of AI/ML & Digital Health and is tasked with accelerating and scaling the research, development, and deployment of generative and agentic AI models and solutions for scientific, clinical, and regulatory use cases across R&D. The role encompasses a horizontal engagement across the entire R&D business, positioning you as a senior technical leader in areas such as AI/Generative AI, Large Language Models (LLMs), Large Reasoning Models, Multimodal and Agentic AI. This leader will work across the enterprise, partnering closely with Data Science & Digital Health teams, Johnson & Johnson Technology (JJT), J&J IM R&D therapeutic areas and functions, and interact with senior level stakeholders throughout the company. Responsibilities Lead the technical research and implementation of generative AI methods and multi-modal agentic systems, applied to scientific, clinical, and regulatory use cases across R&D. In close partnership with JJT, research, develop and deploy impactful and scalable GenAI solutions for therapeutic areas including Oncology, Immunology, and Neuroscience, as well as Discovery Product Development & Supply, Global Drug Development, and Global Regulatory Affairs organizations. Attract, upskill and retain top AI talents in the field, manage a technical team, and collaborate with key stakeholders in R&D, DSDH, and JJT. Drive strategic decision-making processes concerning Generative AI and Agentic AI, prioritize projects with partners, and lead the development of cross-R&D GenAI solutions. Drive J&J innovation in the field, leading to high visibility publications in top AI conferences and patents around Generative AI, reasoning, multi-agent systems, etc. Effectively partner with external companies, from startup to Big Tech, to accelerate GenAI development and adoption within J&J IM R&D. Collaborate with key academic centers for research development. Qualifications Advanced degree (PhD) in disciplines such as Computer Science, AI/ML, Engineering, Biomedical engineering, Applied Mathematics or similar. Minimum of 10 years of post-academic, industry experience. Extensive experience in creating scalable and impactful AI solutions, including managing their full life cycle (design, development, testing, deployment, operations & maintenance, etc.). Proven track record of technical proficiency in machine learning, deep learning, Large Language Models (LLMs), large reasoning models (LRM), agentic systems. Excellent coding and software development capabilities, effectively leading a technical team and partners towards the creation of scalable AI solutions. Strong experience in people leadership, and ability to work in a matrixed organization Excellent communication skills and strategic thinking capabilities. Experience in the Life Sciences, Healthcare, Pharmaceutical or Medical Tech sector is preferred. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $173,000 to $299,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS

Graco manufactures and markets premium equipment to move, measure, control, dispense and spray a wide variety of fluid and powder materials. What does that mean? Well, we pump peanut butter into your jar, and the oil in your car. We glue the soles of your shoes, the glass in your windows and the screen on your phone. We spray the finish on your vehicle, coatings on your pills, the paint on your house and texture on your walls. Graco is part of your daily life. The Graco Intern Program offers more than just work experience-it's a chance to make an impact. As an intern, you'll take on projects that matter to the business, contribute to initiatives that drive progress, and develop skills that prepare you for what's ahead. Throughout the program, you'll expand your industry knowledge, collaborate with professionals who are passionate about doing things the right way, and experience a culture that thrives on new ideas and continual growth. You'll also take part in events designed to support both your learning and personal development. The program concludes with a final presentation where you'll showcase your achievements and the difference you've made. The Data Science Intern will work with large datasets from our production operations, supply chain, and product performance, contributing to data-driven decisions that enhance operational efficiency, product quality, and customer satisfaction. As a member of the Data Analytics team, the individual in this position will gain valuable exposure to statistical modeling, machine learning, and advanced analytics, while collaborating with experienced data analysts, engineers, and manufacturing professionals. What You Will Do at Graco Collect, clean, and preprocess structured and unstructured data from sources such as manufacturing equipment, IoT sensors, and supply chain systems to enable actionable insights. Perform exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities for optimizing the movement and handling of critical materials in Graco's systems. Assist in developing and implementing machine learning models for use cases such as predictive maintenance, process optimization, demand forecasting, and quality assurance in material movement. Create insightful data visualizations and dashboards to effectively communicate findings to cross-functional teams, including engineering, operations, and leadership. Collaborate with senior team members to analyze data related to Graco's innovative material handling systems and contribute fresh ideas for solving manufacturing and operational challenges. Document methodologies, workflows, and results to ensure reproducibility and scalability across Graco's global operations. Participate in team meetings, present findings, and contribute to discussions around improving manufacturing processes and enhancing business outcomes. What You Will Bring to Graco Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field. Strong programming skills in Python or R; familiarity with libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch is a plus. Experience with SQL and working with relational databases. Understanding of statistical methods, machine learning concepts, and data visualization techniques. Strong problem-solving, analytical thinking, teamwork and communication skills. Ability to work both independently and collaboratively in a fast-paced manufacturing environment. Accelerators Experience with data visualization tools (e.g., Tableau, Power BI) to create insights for engineering, manufacturing, and operational teams. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or manufacturing-specific platforms like MES (Manufacturing Execution Systems). Familiarity with data and analytics cloud platforms (e.g., Snowflake, AWS) Familiarity with Gen AI capabilities. Knowledge of IoT frameworks and working with time-series data from sensors embedded in Graco's material movement systems. Previous internship or academic project experience working with data in a manufacturing or industrial setting. Interest or experience in material handling, industrial machinery, or manufacturing processes relevant to Graco's mission of moving materials that matter. What You'll Gain Hands-on experience with large-scale data analysis and machine learning projects tailored to Graco's advanced manufacturing processes and material handling innovations. Opportunities to contribute to impactful projects that enhance operational efficiency, reduce equipment downtime, and improve product quality. Exposure to cutting-edge technologies, including IoT data, predictive maintenance, and process automation, in a global manufacturing environment. A collaborative and supportive environment to grow your technical and professional skills while contributing to Graco's mission of moving materials that matter. At Graco, you truly make a difference. Your unique talents contribute to our organizational growth and future. Not only do you make a difference, but Graco's culture empowers employees to create their own career path. Whether you choose to advance within your current department or explore new opportunities in different divisions, you have the ability to build your future. Our managers are here to provide support and guidance as you continue to grow within your career. Graco has excellent opportunities available to individuals who want to be part of a fast-moving, growing company that is committed to quality, innovation and solving fluid handling problems for our customers. Graco is proud to be named a Best Place to Work by Fortune Magazine in 2016, 2018, 2019, 2021 & 2022. Graco offers attractive compensation, benefits and career development opportunities. Graco's comprehensive benefits include medical, dental, stock purchase plan, 401(k), tuition reimbursement and more. Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. The base pay range for this position is listed below, exclusive of fringe benefits or other compensation. If you are hired, your final base hourly rate will be determined based on factors such as geographic location, skills, competencies, education, and/or experience. In addition to those factors, we will also consider internal equity of our current employees. Please keep in mind that the range provided is the full base salary range for the role. Hiring at or near the maximum of the range would not be typical to allow for future and continued salary growth. $21.00 - $28.00

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is currently seeking an Associate Director, DSDH Discovery Portfolio. This position can be located in one of our office locations in either Spring House, PA, Cambridge, MA, New Brunswick, NJ, Raritan, NJ, Titusville, NJ, or San Diego. (No fully remote option available.) Key Responsibilities: As an associate director, you will join the Data Science and Digital Health organization within Johnson and Johnson Innovative Medicine leading the development of in silico immune disease models and knowledge integration methods to drive the development of innovative drugs. You will play a crucial role in building how we identify, characterize and advance drug candidates providing innovative, multi-modal insights of complex biological regulation through the lens of computational modeling. Your responsibilities will include overseeing collaborations with multidisciplinary teams, guiding model development, and ensuring adherence to best practices in software engineering. You will work alongside biologists and immunologists to convert their biological hypotheses into testable computational outcomes. This role provides technical leadership, drives cross-functional collaborations, and ensures scientific and engineering rigor across projects. In This Role, You Will: Lead and mentor teams in the development and validation of computational models for immune and autoimmune disease biology, translating biological hypotheses into testable in silico experiments, and developing follow-up experiment plans in response to model predictions. Manage a portfolio of complex projects and collaborations that deepen the integration of data science and functional immunology drug development Serve as the principal partner to Translational Research and/or Discovery teams, aligning project output to therapeutic decision points. Oversee external collaborations with contract research organizations and academic partners; ensure high-quality data exchange and joint deliverables. Communicate results clearly and persuasively through technical reports, internal presentations, cross-functional briefings, and peer-reviewed publications. What we offer: Opportunity to shape translational computational modeling that directly impacts therapeutic decisions and patient outcomes. Collaborative, cross-disciplinary environment with access to experimental teams, clinical scientists, and external partners. Mentorship and leadership responsibilities with clear impact on research direction and career growth. Education: Ph.D. in systems biology, computer science, software engineering, or a related field, with 5+ years of relevant industry experience; or Master's degree with 8+ years of experience, is required. Required Qualifications: Experience in designing, managing, and executing projects in drug discovery, differentiation, biomarker design, etc. driven using multi-omics, computational modeling, and bioinformatics Demonstrated history of collaborating in multi-disciplinary teams including computational and biological scientists, mediating and maintaining both computational and biological rigor Practical experience working with contract research organizations and managing external research partnerships. Strong project leadership skills: setting strategy, defining milestones, managing timelines, and delivering results. Excellent written and verbal communication skills for diverse audiences, including non-expert stakeholders. Preferred qualifications: First-hand experience in immunology research and drug development highly preferred. Demonstrated working knowledge in the implementation and application of machine learning and ai-powered methods to biology is highly preferred Experience with knowledge integration and multi-model/multi-modal integration methods preferred Excellent written and verbal communication skills for diverse audiences, including non-expert stakeholders. This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Spring House, PA, Cambridge, MA, New Brunswick, NJ, Raritan, NJ, Titusville, NJ, or San Diego. Approximately 15% travel domestic and international may be required. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health - Neurodegeneration. This position can be located in one of our office locations in either Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. May require approximately 25% domestic and international travel. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ . Role Summary We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for neurodegenerative diseases. This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact. You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with neurodegenerative disorders. Key Responsibilities Define and execute the data science and digital health strategy for neurodegeneration, integrating computational biology, AI/ML, digital health, and clinical/RWE insights. Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets. Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways. Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery. Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real-world impact assessment. Build strong cross-functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data-driven neuroscience. Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational neuroscientists to deliver on strategic initiatives. Qualifications Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required. 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development is required. 7+ years of experience as a people manager is required. Experience in clinical development with demonstrated expertise in neurodegeneration preferred. Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners is required. Technical Expertise in as least two of the three following areas is required: 1. Proficiency in multiomics integration (e.g., genomics, transcriptomics, proteomics,) and advanced statistical/causal inference methods; 2. Expertise in applying digital health technologies (wearables, sensors, mobile platforms) and novel endpoints in clinical research. 3. Experience with large-scale clinical datasets, EHR, and real-world data and expertise in advanced modeling, longitudinal analysis, and patient stratification. Track record of scientific contributions (presentations and publications) in this field is required. Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required. Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state-of-the-art AI methodologies is a plus. Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level is required. Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development is required. This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, Titusville, NJ, or San Diego. May require approximately 25% travel domestic and international. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $193,000 to $333,500. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid

Loyola Marymount University's Frank R. Seaver College of Science and Engineering is collecting resumes of potential applicants for future Part-Time faculty positions in the Department of Mathematics, Statistics and Data Science. There may not be openings at this time, but your application will be kept on file. Current applications will be reviewed as openings occur. The position, when needed, is assumed to be a one-semester appointment, normally to teach 1-2 courses. The Department of Mathematics, Statistics and Data Science serves approximately 75 majors and 50 minors across programs in Mathematics, Applied Mathematics and Statistics and Data Science. In addition, we teach many courses required by other majors across the university. Lecturers are typically hired to teach courses such as Algebra, Precalculus and Calculus; other courses may be available depending upon qualifications and experience. Additional information about the department, curriculum, courses, and faculty/staff is available online at https://cse.lmu.edu/department/math/ . Job Responsibilities The following is a non-exhaustive list of instructor job responsibilities: prepare and distribute a course syllabus; prepare and lead class sessions; hold regular office hours and answer student questions; develop, distribute, and/or grade discussion materials, homework, quizzes, and other course materials; write, proctor, and grade midterm and final examinations; maintain and timely submit class records, such as attendance and grade reports; attend meetings and training, as needed; and comply with all university standards and requirements. Minimum Qualifications Prior teaching experience is preferable. Must have the ability to use browser-based software services, and standard classroom and office equipment. Position requires excellent oral and written communication and interpersonal skills. Must possess ability to, and genuine interest in, meeting the educational needs of students, and sensitivity to, and understanding of, the diverse academic, socioeconomic, and cultural/ethnic backgrounds of the students. Required Education A master's or doctorate level degree. Special Instructions Apply online at https://jobs.lmu.edu . A completed application consists of: A current CV/resume Cover Letter Statement of Teaching References - 3 references required Minimum salary is $2,517 per unit taught. Faculty Regular Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world—all in a flexible, award-winning workplace. PagerDuty is seeking a Director, Data Science (IT) to build and lead a world-class data science function in the IT Organization. In this role, you will shape the team’s vision, foster an inclusive and high-performing culture, and drive impactful data science and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core data analytics, services, and operations. You’ll partner cross-functionally with Business teams across Sales, Marketing, Customer Success, Product, and Finance leaders to ensure we’re aligned and scalability is built in adopting data science models & operations. This role is both business-facing and deeply technical. Your primary responsibility is to understand business use cases and proactively propose innovative ways of working using generative AI. As a technologist, you’ll lead a team to implement solutions that transform data analytics. You may have prior experience working in business teams, and you will play a key role in building and scaling a team that brings data and GenAI-powered insights to life across the company. Key Responsibilities Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes. Act as a strategic advisor and thought leader, identification, rollout & championing the adoption of AI/ML across the organization. Build, mentor, and lead a high-performing, collaborative team of IT data scientists, IT Data Product Managers, and IT data engineers. Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives. Develop new ideas, brainstorm with Business partners on how the latest innovations in AI can improve business performance. Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value. Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization. Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions. Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement. Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs. Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility. Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability. Basic Qualifications : 10+ years of experience in Business Data analytics, Data Science roles in B2B SaaS. Proven track record of building and leading high-impact data science teams. Proven experience deploying machine learning models at scale in production environments. Familiarity with modern data stacks: cloud data warehouses. (Snowflake/Databricks/AWS), BI Tools, orchestration tools, and MLOps platforms. Exceptional communication and storytelling skills. You can simplify complexity and influence at all levels. Preferred Qualifications: Bachelor's in a quantitative field such as Computer Science, Statistics, Mathematics, or similar, with an advanced degree (Master's degree or higher) preferred. PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning. This role is expected to come into our San Francisco office 2 days per week , so you can thrive in your new role and fully embrace being a Dutonian! The base salary range for this position is 212,000 - 356,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits. Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience. Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn’t the right role or time - sign up for job alerts ! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site . Your package may include: Competitive salary Comprehensive benefits package Flexible work arrangements Company equity* ESPP (Employee Stock Purchase Program)* Retirement or pension plan* Generous paid vacation time Paid holidays and sick leave Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)* Paid volunteer time off: 20 hours per year Company-wide hack weeks Mental wellness programs *Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses PagerDuty is Great Place to Work-certified™, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. Go behind-the-scenes on our careers site and @pagerduty on Instagram. Additional Information PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy . PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs. PagerDuty uses the E-Verify employment verification program.

WHOOP is an advanced health and fitness wearable on a mission to unlock human performance and healthspan. We empower our members to improve their health and perform at higher levels by providing deep insights into their bodies and daily lives. The Health Data Science team develops novel algorithms and features that expand WHOOP’s health capabilities, spanning women’s health, regulated medical features, wellness monitoring, longevity research, and emerging health insights. By combining continuous physiological data with clinical research and data science expertise, we deliver features that are both scientifically rigorous and deeply impactful for our members. As a Data Science Manager on the Health team, you will lead a team of data scientists and research scientists driving projects critical to WHOOP’s success. You’ll balance program execution with people leadership, ensuring the team delivers impactful health features while fostering professional growth. RESPONSIBILITIES: People Management: Mentor, coach, and develop a high-performing team of data scientists and research scientists. Provide guidance on career growth, skill development, and performance improvement. Program Management: Oversee the execution of multiple data science projects within the Data Science Health Team. Ensure projects are delivered on time, within budget, and to the highest quality standards. Resource Allocation: Optimize resource allocation to maximize team efficiency and project outcomes. Coordinate with other departments to secure necessary resources and support for team initiatives. Roadmapping: Collaborate with cross-functional stakeholders to develop and maintain a comprehensive roadmap for the Health Team's data science initiatives. Ensure alignment with company objectives and market trends. Dependency Management: Identify and mitigate dependencies across projects to minimize risks and ensure smooth execution. Proactively communicate with stakeholders to manage expectations and resolve conflicts. Team Support: Act as a supportive leader, fostering a collaborative and inclusive team culture. Provide guidance and assistance to overcome challenges and achieve team goals. Communication: Serve as a primary point of contact for communicating project status, risks, and opportunities to senior leadership and stakeholders. Facilitate effective communication within the team to ensure clarity and alignment. QUALIFICATIONS: Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field, Master’s or PhD preferred. Proven experience (5+ years) managing data science teams or similar technical teams in a fast-paced environment. Excellent communication and interpersonal skills, with the ability to build strong relationships with cross-functional teams and stakeholders. Strong understanding of data science methodologies, tools, and techniques, with the ability to provide high-level technical guidance. Exceptional leadership and management skills, with a track record of developing and motivating individuals to achieve their full potential. Strategic thinker with the ability to prioritize initiatives, allocate resources effectively, and drive results in line with business objectives. Experience in the healthcare or wearable device industry is a plus. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Founded in 1999, Viking Global Investors (“Viking”) is a global investment firm with a long-term, fundamental, research-intensive approach to investing. Viking manages over $53 billion of capital across public and private investments. Viking has offices in Stamford, New York, Hong Kong, London, and San Francisco, and is registered as an investment adviser with the U.S. Securities and Exchange Commission. For more information, please visit www.vikingglobal.com . INTERNSHIP OPPORTUNITY The Data Science Intern(s) will work closely with other members of the Data Science team, Investment Analysts, and Data Engineers to analyze, extend, and build on Viking’s significant repository of alternative data assets and generate actionable investment insights. We seek an analytical and creative problem solver and provide them with the resources and tools to apply their Data Science training and experience to our most pressing and interesting research questions. The Data Science Intern will both work independently and collaborate with other intellectually curious quantitative professionals. We are open to different durations, start dates, and full-time vs. part time options for the ideal candidate. RESPONSIBILITIES Data Science Intern(s) will have the opportunity to develop impactful analyses and insights to be used across our investment process and organization. Activities could include but are not limited to: Develop and deliver predictive analytics on companies, sectors, and macroeconomic trends Deliver investment insights to the investment team from analysis using alternative data Develop methodologies to identify and evaluate investment opportunities in private companies Identify and evaluate new data sources Streamline the data life cycle, operating model, and process Test and evaluate new technologies to enhance our big data platform Create centralized and automated analyses and processes Contribute to Viking’s overall research effort by sharing information and insights across the firm QUALIFICATIONS Across the firm, we attract motivated, intellectually curious, and analytically rigorous people who are passionate about learning and creating impact. The ideal candidate will possess the following traits: A strong performer currently enrolled in a Master’s degree or in a PhD program (3rd year and above) in Data Science, Economics, Finance, Statistics, or related quantitative fields Strong communication skills, with the ability to convey complex ideas to a non-technical audience Independence of thought and ability to carry out a research project with partial supervision Proficiency in Python and statistical libraries, and working knowledge of SQL, BI software (e.g., Tableau), and cloud technologies Sound judgment and ability to take a step back from the analysis and look at the big picture Passion for research, proactive and self-motivated Commitment to excellence Informational webinar: October 30, 6:00-7:00pm ET. Register here: https://vikingglobal.zoom.us/webinar/register/WN_8is_kqIVSNatM6_vo41FpA APPLICATION : Please submit your resume / application through the Viking career site via this link: https://job-boards.greenhouse.io/vikingglobalinvestors/jobs/5658261004 Please remember to indicate your school name on the application page. In addition to your resume as a single PDF document, a supplement to the application is required. In 1-2 pages, describe a quantitative research project that you recently completed. Please include the following details and attach this supplement and your resume as a single document: The research question you were trying to answer The data you used Your approach, including details on the statistical methodologies Your findings The computational environment (e.g., language, main libraries, etc.) Please note our application deadline is November 11, 2025 (11:59PM EST). Incomplete applications will not be considered. Interview process: Our interviews will take place virtually in December. The base salary range for this position in New York City is annual $175,000 to $250,000. In addition to base salary, Viking employees may be eligible for other forms of compensation and benefits, such as a discretionary bonus,100% coverage of medical and dental premiums, and paid lunches. Actual compensation for successful candidates will be individually determined based on multiple factors including, but not limited to, a candidate’s skill set, experience, education, and other qualifications. For more information on our benefits, please visit www.vikingglobal.com/life-at-viking/ Viking is an equal opportunity employer. Questions about your candidacy and requests for reasonable accommodation in the recruitment process should be directed to campusrecruiting@vikingglobal.com . CONTACT: Viking Campus Recruiting Team campusrecruiting@vikingglobal.com

Zoox is looking to hire an Executive Assistant to support our VP Program Management Office and Senior Manager of Data Science. This role will work closely with other Executive Assistants and Administrative Business Partners across all the departments at Zoox. This is an ideal position for someone who works well in a fast-paced environment, is a self-starter, and wants to work on a dynamic and mission-driven team. This role will require strong and complex calendaring and prioritization skills, uncompromising attention to detail, the ability to meet tight deadlines, excellent organizational skills, and the ability to juggle multiple critical requests simultaneously. A high level of integrity and discretion in handling confidential information, and professionalism in dealing with senior leaders within the company are also critical aspects of this role. Most importantly, you must have a genuine passion for the Zoox mission. In this role, you will: Hands-on meeting scheduling, coordination, setting agendas, securing reports, and note taking Prioritizing VP and Senior Manager's time effectively Supporting VP and Senior Manager with cross-functional relationship building Assisting with team off-sites and events Helping with new hire onboarding Complete administrative tasks including booking domestic and international travel, expense reporting, calendar management, and meeting arrangements Qualificiations: 8+ years of executive assistant experience Strong organizational skills and appreciation for the challenges of supporting a growing team of diverse personalities and programs Comfortable working in a dynamic environment Sensitivity to handling critical and confidential information Excellent written and verbal communication skills Technical computer skills including proficiency with Google for Business Suite, MS Office Suite, Keynote, and other Apple products Bonus Qualificiations: Ability to learn quickly, ask questions, and be solution-oriented Previous exposure to company boards, public officials, and other senior-level stakeholdersBachelor's degree Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Program Dates: June 1, 2026 - August 7, 2026 The base pay for this position is $35 per hour This is a Boston based opportunity with a 4 day in office expectation (Monday - Thursday) with 1 day remote (Friday). At this time, Wayfair will not sponsor applicants for employment authorization for this position for the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN. Who We Are : At their core, Data Scientists at Wayfair are strong in quantitative analysis, have prior coding experience, and take an interest in steering business strategy through data-informed decisions. They think critically to tackle complex problems, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance. Leveraging cutting-edge technology and multi-terabyte datasets, Data Scientists will collaborate closely with Product Management, Software Engineering , Operations Research, and Analytics teams in order to solve challenging problems. Typical responsibilities include constructing SQL queries, analyzing customer or supplier behavior and trends to generate actionable insights, and developing new recommendations for stakeholders to optimize operations What You’ll Do : Design and build solutions to empower stakeholders across Wayfair to self-serve analytical needs. Comprehend, extract, and massage information from multi-terabyte data sources including sales, clickstream, logistics, product, and customer databases to deliver business insights and recommendations. Collaborate with leaders of functional areas (e.g., Product Management, Software Engineering, , Operations Research, Analytics) to identify the most impactful ways for data and analytics to drive decision making and accelerate profitable growth. Become the subject matter expert for data, analytics, and testing within a business unit to ensure accurate and proper interpretation of core business metrics and supply chain behavior. Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business and operations problems including demand forecasting, product segmentation, network design, and driving optimal end-to-end outcomes on speed, cost, and service. Develop data visualizations via reports, dashboards, and analyses to distribute data insights in an easily digestible manner to over 10,000 global employees. What You’ll Need : Basic Qualifications: Currently pursuing a Bachelors degree in Data Science, Computer Science/Engineering, Analytics, Mathematics, Statistics, or other quantitative discipline with the expectation that the degree will be obtained between December 2026 and Summer 2027, with a 3.0 GPA minimum Authorization to work in the United States without visa sponsorship by Wayfair now or in the future. Visa sponsorship includes the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN. Must be returning to the course of study following completion of the internship Preferred Qualifications: Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.), Python, or other structured programming language(s) (e.g., Java, C) Experience in an analytics, business intelligence, data science or engineering role performing quantitative analysis Hands-on experience conducting quantitative analyses on large data sets; experience with Excel (pivot tables, vlookup, etc. ) and Looker a plus. Experience with cloud technologies and tools including VertexAI, GBQ and GCS Analytical, creative, and innovative approach to solving problems Strong written and verbal communication Strong comfort level and appetite to use AI in daily workflow Ecommerce or retail analytics experience a strong plus Why You’ll Love Wayfair : Throughout the Internship Program, we provide interns with the opportunity to engage in social and community building activities including: A calendar of intern events including social networking, professional development and a leadership dialogue series Formalized mentorship program along with an assigned reporting manager for impactful professional development and feedback Skills-based training Dialogue events with senior leaders to provide a holistic view of all functions at Wayfair Coffee chat opportunities for interns to get to know one another Volunteer opportunities Intern-wide innovation project designed to teach interns skills for handling ambiguous business problems Intern Appreciation Day celebration Events throughout Boston which allow interns to explore what the city has to offer including a Red Sox game, and Boston Harbor boat cruise. Purpose & Inclusion at Wayfair: At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone. Social Impact & Responsibility: At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home. Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please contact candidateaccommodations@wayfair.com. Need Technical Assistance? If you are having any technical difficulty submitting your application, please reach out to our careers team at careers@wayfair.com. About Wayfair Inc. Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.

Program Dates: January 5, 2026 - June 19, 2026 The base pay for this position is $27.50 per hour This is a Boston based opportunity with a 4 day in office expectation (Monday - Thursday) with 1 day remote (Friday) At this time, Wayfair will not sponsor applicants for employment authorization for this position for the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN Who We Are : At their core, Data Scientists at Wayfair are strong in quantitative analysis, have prior coding experience, and take an interest in business. They think critically to tackle complex problems, thrive in a fast-paced environment and are seeking a high-growth opportunity where they will have an immediate impact on day one. There are significant opportunities for new team members to emerge as leaders, taking on additional projects and responsibilities with strong performance. Leveraging cutting-edge technology and multi-terabyte datasets, Data Scientists will collaborate closely with key cross functional teams in order to solve challenging problems. Typical responsibilities include constructing SQL queries, analyzing customer or supplier behavior and trends to generate actionable insights, and developing new recommendations for stakeholders. What You’ll Do : Design and build solutions to empower stakeholders across Wayfair to self-serve analytical needs. Optimize supply chain operations, including procurement, logistics, and vendor coordination to ensure efficient and cost-effective delivery of goods and services through insights from analytical assessments. Comprehend, extract, and massage information from multi-terabyte data sources including sales, clickstream, logistics, product, and customer databases to deliver business insights and recommendations. Become the subject matter expert for data, analytics, and testing within a business unit to ensure accurate and proper interpretation of core business metrics and consumer behavior. Perform deep-dive analysis, including the application of advanced analytical techniques, to solve some of the more critical and complex business problems including inventory planning & forecasting, warehouse operations, and logistics optimization. Develop data visualizations via reports, dashboards, and analyses to distribute data insights in an easily digestible manner to over 10,000 global employees. What You’ll Need : Basic Qualifications: Currently pursuing a Bachelors degree in Data Science, Computer Science, Computer Engineering, Analytics, Mathematics, Statistics, or other quantitative discipline with the expectation that the degree will be completed between 2027 and 2029 Minimum GPA of 3.0 Must be returning to the course of study following completion of the Co-op Authorization to work in the United States without visa sponsorship by Wayfair now or in the future. Visa sponsorship includes the following work visas: STEM OPT EAD, H-1B, H-1B1, E-3, O-1, J-1, or TN. Preferred Qualifications: Proficient knowledge of SQL (incl. Aggregate functions, joins, etc.), Python, or other structured programming language(s) (e.g., Java, C) Strong business acumen: ability to understand how various parts of the business interact; can identify and approach problems from a customer or supplier perspective Experience in an analytics, business intelligence, data science or engineering role performing quantitative analysis Hands-on experience conducting quantitative analyses on large data sets; experience with Excel (pivot tables, vlookup, etc. ) and Looker a plus. Experience with cloud technologies and tools including VertexAI, GBQ and GCS Analytical, creative, and innovative approach to solving problems Strong written and verbal communication Strong comfort level and appetite to use AI in daily workflow Ecommerce or retail analytics experience a strong plus Why You’ll Love Wayfair : Throughout the Co-op Program, we provide Co-ops with the opportunity to engage in social and community building activities including: A calendar of events including social networking, professional development, and dialogue events with senior leaders Formalized mentorship program along with an assigned reporting manager for impactful professional development and feedback Skills-based training Coffee chat opportunities for C-ops to get to know one another Purpose & Inclusion at Wayfair: At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone. Social Impact & Responsibility: At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home Assistance for Individuals with Disabilities Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please contact candidateaccommodations@wayfair.com. Need Technical Assistance? If you are having any technical difficulty submitting your application, please reach out to our careers team at careers@wayfair.com. About Wayfair Inc. Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.

Want to help us help others? We’re hiring! GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010. We’re looking for a Manager, Data Science to architect and lead the next generation of marketing data science at GoFundMe. This role will build and scale the foundations of applied data science and AI that empower our Marketing, Growth, and Finance teams to make high-confidence, ROI-positive investment decisions. You’ll serve as a player-coach for a talented group of experienced data scientists, driving innovation while ensuring excellence in delivery. Candidates considered for this role will be located in the San Francisco, Bay Area. There will be an in-office requirement of 3x a week. The Job Build a strong AI and data science foundation : Develop scalable pipelines, reusable modeling frameworks, and robust experimentation platforms to support marketing and growth decision-making. Lead end-to-end data science & AI projects : From requirements gathering through feature engineering, modeling, validation, deployment, and monitoring. Establish best practices : Champion standards in model governance, reproducibility, data quality, and system reliability to ensure sustainable and trustworthy AI adoption. Drive marketing science innovation : Apply advanced methods—causal inference, uplift modeling, multi-touch attribution, and media mix modeling—to unlock insights and optimize spend. Advance forecasting & ROI modeling : Deliver budget allocation frameworks and predictive models that guide long-term roadmap planning and marketing efficiency. Partner cross-functionally : Work closely with Marketing, Growth, Product, Engineering, and Finance leaders to align analytics initiatives with revenue impact. Invest in people : Mentor, coach, and elevate a team of high-performing data scientists; foster a culture of technical rigor, curiosity, and applied innovation. Push the frontier of applied AI in marketing : Evaluate emerging generative and predictive AI approaches for audience segmentation, creative optimization, personalization, and campaign efficiency. You Experience & Education 8+ years of experience in data science roles with direct impact on marketing, growth, or revenue optimization. Master’s or Ph.D. in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Physics, Operations Research or related), or equivalent applied experience. Technical Skills Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, optimization). Deep experience with experimentation frameworks: A/B testing, causal inference, uplift modeling, and attribution models. Proven success in forecasting, optimization, and budget allocation models for marketing and growth functions. Hands-on with data platforms (Snowflake, Databricks) and BI tools (Looker, Tableau, or equivalent). Strong data storytelling and executive presentation abilities. Leadership & Collaboration Exceptional communication skills with the ability to influence executive stakeholders and translate data into actionable business recommendations. Experience developing senior data scientists and elevating team practices. Demonstrated ability to define a strategic vision for applied data science in marketing, balancing rapid experimentation with long-term infrastructure investments. Nice to have Familiarity with experimentation and web/mobile analytics platforms (Optimizely, GrowthBook, Google Analytics, Amplitude). Experience integrating with marketing APIs (Google, Meta, programmatic platforms) for campaign optimization. Prior exposure to generative AI or LLMs in marketing use cases (e.g., personalization, targeting, creative analysis). Knowledge of multi-arm and contextual bandit algorithms for adaptive experimentation and continuous marketing optimization. Familiarity with ML ops practices: version control, model monitoring, scalable ETL frameworks. Why you’ll love it here Make an Impact : Be part of a mission-driven organization making a positive difference in millions of lives every year. Innovative Environment : Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere. Collaborative Team : Join a fun and collaborative team that works hard and celebrates success together. Competitive Benefits : Enjoy competitive pay and comprehensive healthcare benefits. Holistic Support : Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being. Growth Opportunities : Participate in learning, development, and recognition programs to help you thrive and grow. Commitment to DEI : Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups. Community Engagement : Make a difference through our volunteering and Gives Back programs. We live by our core values: impatient to be great , find a way , earn trust every day , fueled by purpose . Be a part of something bigger with us! GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status. The total annual salary for this full-time position is $187,000 - $281,000 + equity + benefits. As this is a hybrid position, the salary range was determined by role, level, and possible location across the US. Individual pay is determined by work location and additional factors including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range based on your location during the hiring process. If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. Global Data Privacy Notice for Job Candidates and Applicants: Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here . By submitting your application, you are agreeing to our use and processing of your data as required. Learn more about GoFundMe: We’re proud to partner with GoFundMe.org , an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘24 annual report . Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other. For recent company news and announcements, visit our Newsroom .

Job Title : Data Science Lead Location : Los Angeles, CA Type : 3 + Months Rate : $Open (Best Possible) Core Requirements Bachelor’s degree in Computer Science or related field preferred. 7+ years of professional experience A focus on hardware is going to be key. Experience in GPU programming models, such as OpenCL or CUDA. Experience with cross platform model compilers like ngraph, XLA, TensorRT, etc. Systems-level experience with Linux Operating System. Previous experience leading assessments or evaluations (proof-of-concept type work). Strong communication skills are required as there is heavy client engagement on a day-day basis. Note: If interested please send your updated resume and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!