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The Team At Learning Commons, we pair technology with grantmaking to scale proven teaching and learning practices to benefit every learner. We aim to translate what learning science tells us about how students learn best into classroom practice. With the advent of generative AI, that translation work can be accelerated and scaled to have a greater impact. Our mission is to bring learning science into the tools used every day by teachers and students, ensuring that technology reflects the realities of classrooms and strengthens teaching and learning. In today's fragmented edtech landscape, school districts are often left piecing together products that don't always align with curricula or instructional needs. While AI holds enormous potential to support educators, it can only deliver on that promise when grounded in research, high-quality educational data, and expert evaluation. That's why we're building open, public-purpose infrastructure - datasets, rubrics, and resources - that help raise the standard for educational tools and create more consistent, impactful learning experiences for all students and teachers. At our core, we are builders, and our unique builder philanthropy approach is what sets us apart from other education funders. Take a closer look at the highlights and significant milestones of CZI's first eight years of education work. The Opportunity Education is building foundational infrastructure that ensures the quality of the AI systems that are being built for use in classrooms. Our Evaluators team is at the core of this work, building tools that evaluate the quality and educational relevance of the output of LLMs and other AI systems, at the cutting edge of AI's application to education. As the Senior Manager, Data Science and Software Engineering for our Evaluators team, you will lead a team of data scientists, software engineers, and machine learning engineers who build and maintain our rapidly growing set of evaluators. You will work with leading subject matter experts to develop tools that measure the educational suitability of AI systems. This is a phenomenal opportunity to make an impact in the field of education, by setting the standard way to evaluate AI systems. What You'll Do Manage the team of data scientists, software engineers, machine learning engineers, including holding them accountable, performance management and hiring to expand the team Drive an iterative/agile mindset into our organization, and set the bar for engineering and process excellence Drive the team's technical strategy, especially as we scale up the work Partner closely with product management to define and execute the product roadmap Work with internal and external partners to expand the scope of evaluation What You'll Bring 5 or more years of people management experience with a focus on engineering and process excellence Experience managing data scientists and software engineers A passion for innovation and rapid iteration Experience leading teams in rapidly scaling environments, with a demonstrated ability to thrive in ambiguity and lead others through moments of change A business-driven approach that puts customer needs first Experience in the rapidly evolving field of AI/ML Deep interest in how we measure the quality of LLMs Compensation The Redwood City, CA base pay range for a new hire in this role is $241,000.00 - $362,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Work Mode As we grow, we're excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team's manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process. Benefits for the Whole You We're thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. Provides a generous employer match on employee 401(k) contributions to support planning for the future. Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs. Life of Service Gifts are awarded to employees to "live the mission" and support the causes closest to them. Paid time off to volunteer at an organization of your choice. Funding for select family-forming benefits. Relocation support for employees who need assistance moving to the Bay Area And more! If you're interested in a role but your previous experience doesn't perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role. Explore our work modes, benefits, and interview process at www.chanzuckerberg.com/careers. #LI-Hybrid

About Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: Data Science and Analytics (DSA) is the global team of Data Scientists and Analysts. As a Data Science Intern in DSA, you will drive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data driven insight and scientific solution. Some examples of past intern projects are: Work on and improve various components of our ad-tech stack including ranking, retrieval, auction/bidding and budget pacing. Conduct deep-dive analysis to influence R&D decisions and strategies: analyze a large dataset with queries and scripts, extract valuable signals out of noise, and produce actionable insights into how we could optimize Moloco's complex bidding system. Design and deploy advanced optimization approaches to improve our ad-delivery: identifying the best ranking, retrieval and bidding strategies that strike the right balance between ROI and revenue trade-offs. Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling. Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making. Stay up-to-date with the latest researches and developments in experimentation and causal inference, and identify opportunities of applying these techniques to business challenges Minimum Qualifications: Able and willing to work from our Redwood City, CA. office. Must be able to work full-time (40-hours per week) for 12-weeks during the summer of 2026 (May - September). Actively enrolled in a Bachelor's, Master's or PhD program in a technical or quantitative discipline during the internship. Candidates pursuing a Bachelor's or Master's degree must be graduating and obtaining the degree by June of 2027. Preferred Qualifications: Ability to manage multiple projects at the same time while paying attention to detail and translate analysis results into business recommendations. Ability to work independently, owning projects end-to-end, solving problems without much guidance. For more information about our internship program, please visit our site here: Moloco Internship Program. Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

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

About Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name-short for "machine learning company"-reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco's planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You'll Be Contributing to Moloco: Data Science and Analytics (DSA) is a global team of data scientists and analysts. As a Technical Lead Manager, Growth Analytics, you will lead a team of 4 Data Scientist who provide data products, e.g. raw data, campaign facts, growth insights to help customers improve campaign performance and maximize their business goals with Moloco. Moloco data scientists contribute in the following areas, all while working cross-functionally to help meet our client's needs and advance our machine learning models: Data Analysis: data gathering, analysis and effective communication of presentations and recommendations to multiple levels of stakeholders. You'll be responsible for creating custom visual displays of quantitative information through writing queries, scripts, and developing automated reports and dashboards to provide insights at scale. Data validation: verifying the data we obtain from ad exchanges and mobile-app tracking solutions to confirm our campaign models are trained with the most accurate engagement data. Campaign optimization: engaging in the life cycle of campaigns, from monitoring daily performance to partnering with sales teams on bespoke analysis for clients. Business Collaboration: collaborate with key stakeholders to help Moloco focus on decisions that improve our products and services, with a focus on client growth. QUALIFICATIONS Minimum Requirements: Bachelor's degree or equivalent practical experience 3+ years of experience managing individual contributors 8+ years of experience working with statistical packages (e.g., R, Python, SAS, Stata, MATLAB, SQL) Experience partnering with various stakeholders to develop strategies for business growth Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis such as regression or time-series analysis Programming: experience in Python (or R) and SQL is required Comfortable balancing multiple projects simultaneously and effectively prioritizing work based on business needs Excellent verbal and written communication skills, with ability to present information and analysis results effectively to technical and business stakeholders. Ability to build positive relationships within data science & analytics community, as well as with our business stakeholders and clients Work effectively with cross-functional partners (Engineering, Data Science, Sales, GTM) Proven track record in data, metrics, analysis, and trends from the mindset of helping a customer-centric business. Exercise sound judgment in selecting appropriate statistical methods and levels of analytical rigor, balancing complexity with clarity to effectively inform business strategy and product decisions Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation Proven ability to own projects end-to-end, even when you have to get creative: you do more than completing delegated tasks Demonstrated leadership and self-direction Preferred: Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences) Demonstrated leadership and self-direction Willingness to both teach others and learn new techniques Ability to seek out new business questions and effectively scope projects to support client growth, reengagement and overall campaign strategy and performance Our Compensation And Benefits (for United States Residents Only) In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package. Base Pay Range: $172,000—$220,000 USD Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone's voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what's possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We're one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won't let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.

About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. About Axtria’s Data Science CoE Axtria’s Data Science Center of Excellence (CoE) is dedicated to advancing patient outcomes in the life sciences industry by leveraging AI, GenAI, and ML. Our team designs and deploys cutting-edge AI solutions across Commercial, Medical, and Clinical domains, operating in a fast-paced, collaborative, and growth-oriented environment. The Opportunity We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria’s AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations. Key Responsibilities Lead client engagements focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions. Design solution frameworks to accelerate AI adoption and impact patient outcomes. Develop and pitch proposals to grow the Data Science practice and Axtria’s client base. Oversee delivery of large-scale projects including modeling, deployment, and ML Ops integration. Build and commercialize scalable GenAI solutions for pharma (e.g., content generation, trial recruitment). Mentor and build a high-performing data science team, fostering best practices and thought leadership. Engage in industry forums, contribute to innovation, and enhance Axtria’s reputation in the market. Qualifications Bachelor’s degree required; MS/PhD in Computer Science or related field preferred. 12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops. Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data. Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment. Strong consultative and client-facing experience with a commercial mindset. Experience in RFP development, solution selling, and delivering AI applications in life sciences. Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus. Patents or publications in AI/ML a strong plus. Why Join Axtria Work with top-tier talent in a dynamic, employee-first culture. Competitive compensation and benefits (medical, HSA/FSA, 401(k) match, flexible PTO). Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Why Join Axtria Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc. Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies. Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain. Additional Details Hybrid work model (3 days onsite) Boston, MA or client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.     #LI-VG1 Powered by JazzHR

About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. About Axtria’s Data Science CoE Axtria’s Data Science Center of Excellence (CoE) is dedicated to advancing patient outcomes in the life sciences industry by leveraging AI, GenAI, and ML. Our team designs and deploys cutting-edge AI solutions across Commercial, Medical, and Clinical domains, operating in a fast-paced, collaborative, and growth-oriented environment. The Opportunity We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria’s AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations. Key Responsibilities Lead client engagements focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions. Design solution frameworks to accelerate AI adoption and impact patient outcomes. Develop and pitch proposals to grow the Data Science practice and Axtria’s client base. Oversee delivery of large-scale projects including modeling, deployment, and ML Ops integration. Build and commercialize scalable GenAI solutions for pharma (e.g., content generation, trial recruitment). Mentor and build a high-performing data science team, fostering best practices and thought leadership. Engage in industry forums, contribute to innovation, and enhance Axtria’s reputation in the market. Qualifications Bachelor’s degree required; MS/PhD in Computer Science or related field preferred. 12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops. Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data. Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment. Strong consultative and client-facing experience with a commercial mindset. Experience in RFP development, solution selling, and delivering AI applications in life sciences. Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus. Patents or publications in AI/ML a strong plus. Why Join Axtria Work with top-tier talent in a dynamic, employee-first culture. Competitive compensation and benefits (medical, HSA/FSA, 401(k) match, flexible PTO). Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Why Join Axtria Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc. Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies. Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain. Additional Details Hybrid work model (3 days onsite) Berkeley Heights, NJ or client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.     #LI-VG1 Powered by JazzHR

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!

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are seeking a seasoned leader to drive Data Science consulting engagements in the pharma and life sciences domain, with a strong focus on Agentic AI, Generative AI, and advanced analytics solutions. The role involves leading client discussions, designing AI-driven solutions, and guiding cross-functional teams in delivering end-to-end data science projects. Responsibilities: Lead data science consulting engagements for pharma clients, ensuring business impact and value realization. Architect and implement Agentic AI, GenAI, and advanced ML solutions tailored for pharma and healthcare use cases. Build and scale RAG pipelines, conversational AI, and multi-agent systems to solve complex client challenges. Partner with senior stakeholders to define data strategy, AI roadmaps, and transformation programs. Stay updated on emerging AI technologies, regulations, and best practices in pharma. Requirements 10+ years of experience in Data Science/AI consulting Proven expertise in Agentic AI, GenAI, LLMs, and advanced machine learning. Strong knowledge of pharma and life sciences domain Proficiency in Python, SQL, cloud platforms (Azure/GCP/AWS), and modern AI/ML frameworks. Experience in building end-to-end AI solutions (data engineering, model development, deployment). Strong consulting, client management, and stakeholder engagement skills. Advanced degree (Master’s/PhD) in Computer Science, Data Science, AI, or related field preferred. Benefits Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions. Responsibilities Work with the Eluvio Machine Learning and Data Science Team Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location Develop multi-functional learning pipelines Collaborate with product and engineering teams to implement models at scale Requirements Desired Qualifications MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate Deep classroom experience in data science or machine learning or prior internship Comfortable with Python or R Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn) Knowledge of computer vision and natural language processing Great communication skills, organized, able to multitask and be a team player Ability to balance attention to detail with agile execution Benefits Paid internship

As part of a collaborative team, the Data Analysis Specialist builds relationships with faculty, students, and staff to support teaching, learning, and research on campus. Specifically, the Data Analyst Specialist will connect with departments and programs to identify existing data analysis and data management needs on campus. Based on campus needs, the incumbent will develop services and educational programming. This is a union position. Employees working in this position are covered by the collective bargaining agreement between the University and Service Employees International Union (SEIU) Local 888. Provisions related to wages, benefits and other terms of employment are contained in the agreement. The hiring range is 83,800 – 92,500 The Data Analysis Specialist is primarily an on-site position, with the option to work from home two days per week. For full consideration, please submit your cover letter and resume/CV by October 17, 2025. Consults with faculty, students, and staff on projects involving data analysis, data visualization, software use, programming needs, and research data management. 40% Develops educational support systems for data analysis and research data management: 40% Designs and delivers workshops on data collection, wrangling, analysis, visualization, and interpretation methods and related software and programming languages; Develops instructional programs and learning materials in a variety of formats and for researchers at different levels of experience. Develop and deliver resources and guidelines on file and research data management practices, tools, and repositories Participates in and contributes to committees and work groups of the Library and the University. 10% Furthers knowledge in data services through: 10% attending, participating in, or contributing to trainings, conferences, webinars, and other types of professional development. maintaining knowledge of best practices, developments, and trends in data services. Qualifications Education: A graduate degree in a science field or related quantitative discipline is required. Preferred: Research experience in the sciences. Work Experience: 3-5 years of total related work experience Applied use of multiple programming languages including Python and R Data visualization tools like ggplot2 and matplotlib Experience or strong interest in teaching. ​ Familiarity with: Matlab Version control systems such as git/GitHub LaTeX typesetting Unix Shell Scripting (Bash) Research data management including work with sensitive or confidential information Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class")

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

Founding ML/Data Science Engineer Location: San Francisco, CA (Hybrid) Employment Type: Full-time About the Role Our client is building the revenue execution system for B2B enterprises , tackling the underpenetrated space of post-sales enablement. They are combining LLMs with structured customer data to automate account scoring, cohort segmentation, and expansion playbooks. As a Founding ML/Data Science Engineer , you'll work directly with the founders to architect, build, and scale this platform from 0 to 1, with full ownership of core features. This role requires a hybrid engineer who can both architect production ML systems and make sophisticated modeling decisions . You'll need to be equally comfortable with classical ML and cutting-edge language models. Core Responsibilities Design end-to-end ML systems , covering model selection, experimentation, and production deployment. Build feature engineering pipelines to extract signal from both structured business data and unstructured text. Develop hybrid ML/LLM systems , knowing how and when to leverage traditional ML versus language models for a given problem. Own the full modeling lifecycle: EDA, feature engineering, training, validation, and drift monitoring. Requirements 3+ years of experience in applied ML. Strong ML fundamentals (gradient descent, regularization, bias-variance tradeoffs). Experience with the full spectrum of machine learning: classical ML, deep learning, and LLMs. Production experience with model serving, feature stores, and training pipelines. Statistical rigor in experimental design, hypothesis testing, and causal inference. Proven ability to ship end-to-end ML products. Benefits 3+ years of experience in applied ML. Strong ML fundamentals (gradient descent, regularization, bias-variance tradeoffs). Experience with the full spectrum of machine learning: classical ML, deep learning, and LLMs. Production experience with model serving, feature stores, and training pipelines. Statistical rigor in experimental design, hypothesis testing, and causal inference. Proven ability to ship end-to-end ML products. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. About MLabs MLabs is a full-stack software consultancy working with leading blockchain, AI, and tech startups worldwide. We’re supporting this client with their hiring, and you’ll be joining their team directly. 👉 Apply now to be part of one of the most exciting AI startups in San Francisco. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.