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Sony Pictures Entertainment (SPE) is home to some of the world’s most beloved films and television series. From Cobra Kai to The Night Agent , our content reaches millions worldwide. Behind the scenes, our Insights, Strategy & Analytics (ISA) team empowers storytellers and business leaders with data-driven insights to shape the future of entertainment. We are seeking a Director of Data Science to lead, mentor, and grow a high-performing team of data scientists while remaining hands-on in technical work. This role requires a leader who can navigate ambiguity, communicate clearly across all levels, and build impactful machine learning solutions that support SPE’s content, marketing, and distribution teams. You will shape the direction of data science at Sony Pictures and help establish a strong, collaborative, and positive team culture. What You’ll Do: Technical Leadership Lead the design, development, and deployment of machine learning models, including traditional ML techniques with opportunities to expand into deep learning and generative AI where appropriate. Oversee end-to-end model development, including problem scoping, data exploration, feature engineering, model training, validation, and operationalization. Contribute as ahands-on IC, demonstrating excellence in execution while modeling collaboration and best practices Conduct code reviews, set technical standards, and ensure model quality, rigor, reproducibility, and performance monitoring. Guide the creation of POCs, validate feasibility, and partner with engineering to productionalize models and data science tools. Work closely with product teams to define requirements, drive adoption, measure impact, and continuously improve data science products Support work across diverse problem types, from predictive modeling and classification to unstructured text processing and AI-enhanced apps. Promote best practices in responsible AI, including interpretability, fairness assessments, and ongoing model governance. Team & Strategy Leadership Manage, mentor, and develop a team of data scientists and analysts, supporting both technical growth and career progression. Scope and structure ambiguous, loosely defined business asks, transforming open-ended questions into actionable data science projects with clear roadmaps and deliverables. Communicate effectively upward, downward, and across the organization, serving as the connective tissue between the team, stakeholders, and leadership. Help the team navigate the realities of the work cycle—projects that may begin undefined or become high-pressure when deadlines accelerate—and ensure priorities remain balanced and achievable. Foster a positive, collaborative culture that values learning, curiosity, flexibility, and giving each other grace as the team grows and evolves. Serve as a strategic partner to stakeholders, helping them articulate needs, uncover insights and drivers, and understand the value data science can deliver What We’re Looking For 10+ years of experience in data science, machine learning, or applied analytics roles. 3+ years of experience managing people, including hiring, mentoring, and performance management. Strong proficiency in Python, SQL, and widely used ML frameworks (scikit-learn, XGBoost, TensorFlow or PyTorch). Deep experience with MLOps practices including CI/CD for ML, feature stores, model registries, monitoring, drift detection, cloud platforms (AWS, GCP) and MLOps tooling Proven experience delivering end-to-end ML solutions, including modeling, implementation, and impact measurement. Strong understanding of traditional machine learning techniques Experience with modern Gen AI techniques such as prompt engineering, embeddings, RAG pipelines, vector databases, and conversational AI/agent frameworks Excellent communication and storytelling skills; able to simplify complex models and influence cross-functional partners. Demonstrated ability to lead teams through ambiguity, rapid changes, and competing priorities. Commitment to team culture, collaboration, and continuous learning. Nice to have: Experience in the media & entertainment industry. Familiarity with apps (Dash, or Shiny). Why Join Us Shape the future of entertainment — your work will directly influence how audiences around the world discover and enjoy Sony content. Collaborate with a diverse team of scientists, engineers, and strategists solving exciting, real-world challenges. Be part of a culture that values curiosity, innovation, and continuous learning, with access to professional development and cutting-edge tools. Enjoy the benefits of working at a global studio while contributing to projects that matter. The anticipated base salary for this position is $190K to $228K. This role may also qualify for annual incentive and/or comprehensive benefits. The actual base salary offered will depend on a variety of factors, including without limitation, the qualifications of the individual applicant for the position, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location of the position. Sony Pictures Entertainment is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, age, sexual orientation, gender identity, or other protected characteristics. SPE will consider qualified applicants with arrest or conviction records in accordance with applicable law. To request an accommodation for purposes of participating in the hiring process, you may contact us at SPE_Accommodation_Assistance@spe.sony.com.

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team! Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others: Built In's 2025 Best Places to Work For In New York City Built In’s 2024 & 2025 Best Startups to Work For In the U.S. Built In’s 2023 - 2025 Best Startups to Work For In New York City Fast Company’s Most Innovative Companies of 2022 Business Insider’s Most Promising Consumer Startups 2022 Forbes Fintech 50 2022 Role Overview: At Brigit, our Data Science team has been dramatically scaling their impact. We’re aiming to integrate new models across several product domains over the next year and we continue to iterate and optimize in the areas of credit risk and payments where we already have models deployed. Doing this will require our team to grow, but also will require a more concerted effort in planning and integrating with product teams, understanding their roadmap, and exploring projects that make sense in the context of this. To support this growth, we’d like to hire a motivated Head of Data Science to grow and lead this team to its maximum potential. What you'll be doing: Managing and growing a team of (currently 4) data scientists focused on modeling key business problems. Mentoring and guiding team members as they build out quantitative models in python using industry standard techniques. Evangelizing the data science team’s capabilities and integrating with product, engineering and operation teams in order to build a roadmap and backlog of data science solutions with business impact. Running quarterly planning with the engagement of business stakeholders to ensure that the team is running in the right direction. Working closely with our Modeling Engineering team (currently 1) to optimize and improve our infrastructure for model research, development and deployment. What you have: 2+ years of Data Science management with a team of >3 5+ years of modeling/data science experience overall 2+ years of experience at a consumer product company Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.) Experience applying predictive modeling to credit risk assessment, churn prediction, loss and revenue forecasting is beneficial. A Master’s or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes The anticipated annual base salary for this position is $225,000 - $250,000. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. Our Benefits & Team Medical, dental, and vision insurance Flexible PTO Policy 401k plan Paid Parental Leave Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support Monthly reimbursements to use against wifi and cell phone bills Annual reimbursement for Learning & Development Help hard working Americans build a brighter financial future High-growth company A dynamic, flexible and collaborative start-up work environment with a highly talented team Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace. If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com. Disclosures: For information on our data privacy policies, see the Brigit California Personnel Privacy Policy . Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.

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

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity The Data Science team is seeking a dedicated Data Science Engineer. This role provides an outstanding opportunity to work with exceptionally skilled professionals and influence our sales strategy directly. You will be instrumental in driving business growth by successfully implementing data-driven models that identify and size potential opportunities. You will partner with senior partners and team members to explore various data sources, engineer compelling features, then build, test, and evaluate models to prove their efficacy. Your ability to communicate complex model features to business owners will be essential for encouraging confidence and enabling sellers to drive impactful customer conversations. This is a fast-paced environment that requires the ability to make tactical decisions quickly to balance methodologies with business priorities. What You Will Do Develop and own rSAM models to size headroom opportunities in the book of business for specific offerings and customer segments Carry out in-depth business analysis to uncover the drivers behind performance gaps and make recommendations for change Engage with senior collaborators to understand key growth areas and ensure solutions align with business priorities Assess and improve the performance of sales campaigns with performance insights and recommendations for model enhancements Support the customer segmentation process using rSAM and other insights Provide different models like customer segmentation based on clustering, customer lifetime value based on survival analysis, and forecasting Deliver channel segmentation to determine customer engagement strategy and optimize lifetime value Collaborate with data engineering teams to productionize data pipelines and drive scalable solutions Automate model refreshes and account prioritization processes Build propensity models to drive sales campaigns using predictive modelling techniques What You Will Bring 5+ years of SQL experience for querying, cleansing, integrating, and summarizing complex data is essential Experience with Databricks and Python is desirable Proven experience of building, testing, evaluating, and improving revenue-generating data science models Knowledge of propensity modeling techniques and other modeling techniques would be beneficial Proven experience translating complex analytics into understandable insights for senior collaborators is essential Strong problem-solving skills and experience in a fast-paced business environment with changing requirements Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $128,600 -- $234,200 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice 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. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

SWBC is seeking a talented individual to drive transformation through AI, advanced analytics, and cloud-based platforms. The successful candidate will play a pivotal role in shaping and executing data strategies that support business modernization, innovation, and operational excellence. Why you’ll love this role: At SWBC, you’ll be part of a forward-thinking team that’s redefining how data drives business success. As AVP, Data Scientist, you’ll lead transformative initiatives using AI, advanced analytics, and cloud technologies to shape the future of our organization. You’ll thrive in a collaborative, innovation-driven environment that values your expertise and empowers you to make a real impact. With access to professional development, internal mobility, and a culture that champions creativity and inclusion, this is more than a job, it’s a career with purpose. Essential duties include the following: Conduct advanced data analysis and develop predictive models to inform strategic decisions. Design and implement AI-driven solutions to enhance analytics and automation. Leverage Snowflake for scalable data warehousing and analytics. Architect and manage a centralized data hub to ensure data consistency and accessibility across the enterprise. Develop and enforce data governance frameworks to maintain data integrity, security, and compliance. Collaborate with cross-functional leaders to align data initiatives with business goals. Lead end-to-end delivery of data solutions, ensuring alignment with timelines and business requirements. Champion initiatives that modernize data infrastructure and enable digital transformation. Promote a culture of continuous improvement and exploration of emerging technologies. Utilize AWS intelligent platform services to build and deploy robust, scalable data solutions. Serious candidates will possess the minimum qualifications: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, or a related field is required. Minimum of ten (10) years in data science, with demonstrated expertise in AI, Snowflake, Unified Data Hub, and Data Governance. Certifications in one or more of the following is preferred; AWS Certified Data Analytics – Specialty, Certified Data Management Professional (CDMP), Snowflake SnowPro Core Certification, AI/ML certifications (e.g., TensorFlow Developer Certificate). Experience with Python, R, SQL, Java, Scala is required. Deep understanding of data science methodologies and best practices Proficiency in AI technologies and cloud platforms Strong business acumen and communication skills Proven leadership in technology delivery and project execution Experience with AWS services and data architecture SWBC offers*: Competitive overall compensation package Work/Life balance Employee engagement activities and recognition awards Years of Service awards Career enhancement and growth opportunities Leadership Academy and Mentor Program Continuing education and career certifications Variety of healthcare coverage options Traditional and Roth 401(k) retirement plans Lucrative Wellness Program *Based upon employee eligibility Additional Information: SWBC is a Substance-Free Workplace and requires pre-employment drug testing. Please note, SWBC does not hire tobacco users as allowed by law. To learn more about SWBC, visit our website at www.SWBC.com. If interested, please click the appropriate apply button.

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

The Company: NorthMark Strategies is a leading investment firm, combining capital, innovation, and engineering to drive long-term value. From operating complex businesses to backing breakthrough technologies, our mission is to build enduring businesses. Our team combines intelligent risk-taking, operational excellence, exceptional talent, and world-class computing capacity to create shareholder value. Our company offers a dynamic environment where individuals have the freedom to lead companies toward bold achievements by embracing innovation, leveraging technology, and fostering differentiated business strategies. Our values are Integrity, Ability, and Energy, and the company aims to hire individuals who possess those qualities. At NorthMark Strategies, we believe the future isn’t something to hope for, it’s something to build. We don’t just invest, we create. Bringing together strategic insight and technical horsepower to deliver outcomes that endure. Position Overview We are seeking a highly analytical and detail-oriented Senior Associate, Quant & Data Science to join our portfolio analytics group. Data is at the heart of our business, and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm. As a quantitative / data science focused Senior Associate, you will be at the forefront of facilitating data-driven decision making across the business. Key Responsibilities: Develop and automate valuation and return calculations for a global multi-asset class portfolio Support the development of performance attribution frameworks to identify drivers of performance within and across various asset class portfolios Develop, enhance, and maintain quantitative models and risk management tools to measure and manage market, portfolio, and liquidity risks across both liquid and illiquid asset classes Provide technical competence in translating Excel-based models into programmatic solutions Be a motivated self-starter eager to understand performance analysis in disparate asset classes and develop programmatic solutions that drive toward a coordinated view of performance across our global enterprise Requirements: Practical experience in a finance-oriented qualitative setting in a fast-paced, dynamic environment Ability to dissect ambiguous problems and determine the appropriate analytical techniques to apply High proficiency in data extraction, data cleansing, and quantitative analysis Experience with Quantitative & Data Science for creating models Strong academic credentials with a degree in a quantitative field Experience with Python is required and other languages are a plus Experience with Pandas, NumPY, SciPy, SciKit, Matplotlib, etc. Experience in financial / investment analysis is required It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Benefits & Perks: Hybrid-Work Schedule : We provide a hybrid working schedule with 3 days a week in the office Company-Paid Lunch Stipend : Lunch is provided via GrubHub Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability 401(k): Company will match 100% of your contributions up to 6% Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more. Time Off: 25 days of Paid Time Off plus 12 company holidays EQUAL OPPORTUNITY EMPLOYER NORTHMARK STRATEGIES LLC IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE COMPANY'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.

At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! Job Title Translational Imaging & Multi-Omics Data Science Intern Why Genmab Our internship program provides interns with hands-on experience and relevant projects that directly align with our company’s goals. Additionally, we believe our program provides a valuable opportunity to learn, thrive, and build a strong network. We encourage you to review our website to learn why we’re always looking for smart, purpose-led candidates to play a role in our bold, extra[not]ordinary® future. Job Overview We are seeking a motivated and curious intern to join the Translational Data Science team. This project focuses on integrating features extracted from digital images with multi-omics data using graph-based modeling to uncover biomarker-driven therapeutic opportunities. The intern will contribute to developing and applying advanced analytics frameworks that connect imaging features with molecular and clinical data to identify subgroups with distinct biological and therapeutic characteristics. This role offers exposure to deep learning, graph neural networks (GNNs), and large-scale multi-modal datasets, fostering collaboration across computational, translational, and clinical functions. What You’ll Do Data Integration & Analysis Process and curate histopathology and/or radiomics image datasets and multi-omics profiles from public and internal sources. Extract quantitative image features using deep learning-based models (e.g., foundation models for whole-slide analysis). Integrate imaging-derived metrics with molecular and clinical data for downstream analytics. Model Development & Optimization Build and evaluate graph-based models linking patients and molecular/imaging features. Apply GNNs and related architectures to explore subtype stratification and biomarker discovery. Utilize cloud computing platforms (e.g., Databricks, AWS) for scalable computation. Biomarker and Pathway Insights Identify molecular and phenotypic patterns associated with distinct subgroups. Conduct pathway and gene set enrichment analyses to characterize biological differences. Explore potential therapeutic hypotheses using public drug response and perturbation datasets. Research Interpretation & Visualization Develop interpretable visual and computational frameworks that highlight molecular–morphological relationships. Summarize findings for scientific and strategic discussions through figures, reports, and presentations. Required Qualifications, Capabilities and Skills Current graduate or undergraduate student in Computer Science, Bioinformatics, Data Science, Computational Biology, or related field. Proficiency in Python or R; experience with machine learning libraries (e.g., PyTorch, TensorFlow). Familiarity with image analysis and omics data processing. Strong analytical and problem-solving skills, with attention to detail. Interest in translational and precision medicine research. Preferred Qualifications, Capabilities and Skills Experience with graph-based learning or network biology approaches. Background in digital pathology, image analysis, or biomedical data integration. Familiarity with cloud-based analytical environments (Databricks, AWS). Excellent communication skills and ability to work in a collaborative team. General Intern Information – Date/Location/Schedule Internships will take place June – August 2026. This role will be based in Princeton, NJ and operate on a required hybrid schedule – 3 days in the office and 2 days remote per week. What’s Next Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume are a way for us to initially get to know you, so it’s important to complete all relevant questions to ensure we have as much information about you as possible. Every application matters to us, and we’ll carefully review each submission as quickly as possible to see if your qualifications align with the role. While we’re unable to provide individual updates, rest assured that we’re working diligently to move through the process efficiently. If you move forward in the process, you’ll receive an email invitation to connect with us and dive deeper into this exciting opportunity. The final stage will bring selected candidates meeting directly with our hiring teams, where you’ll have the chance to showcase your potential. We are committed to keeping you informed and will share decisions with all candidates as soon as we are able. We can't wait to see where this journey takes you! About You You are genuinely passionate about our purpose You bring precision and excellence to all that you do You believe in our rooted-in-science approach to problem-solving You are a generous collaborator who can work in teams with a broad spectrum of backgrounds You take pride in enabling the best work of others on the team You can grapple with the unknown and be innovative You have experience working in a fast-growing, dynamic company (or a strong desire to) You work hard and are not afraid to have a little fun while you do so! Locations Genmab maximizes the efficiency of an agile working environment, when possible, for the betterment of employee work-life balance. Our offices are crafted as open, community-based spaces that work to connect employees while being immersed in our powerful laboratories. Whether you’re in one of our office spaces or working remotely, we thrive on connecting with each other to innovate. About Genmab Genmab is an international biotechnology company with a core purpose to improve the lives of patients through innovative and differentiated antibody therapeutics. For 25 years, its hard-working, innovative and collaborative team has invented next-generation antibody technology platforms and harnessed translational, quantitative and data sciences, resulting in a proprietary pipeline including bispecific T-cell engagers, antibody-drug conjugates, next-generation immune checkpoint modulators and effector function-enhanced antibodies. By 2030, Genmab’s vision is to transform the lives of people with cancer and other serious diseases with Knock-Your-Socks-Off (KYSO®) antibody medicines. Established in 1999, Genmab is headquartered in Copenhagen, Denmark with international presence across North America, Europe and Asia Pacific. For more information, please visit Genmab.com and follow us on LinkedIn and X . Genmab is committed to protecting your personal data and privacy. Please see our privacy policy for handling your data in connection with your application on our website Job Applicant Privacy Notice (genmab.com) .

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Data Science Engineering Co-Op, you'll join a fast-moving team where innovation and data power everything we do. You'll work side by side with experienced Machine Learning and Data Science engineers to design solutions that drive the customer experience for millions of users. Whether you're optimizing marketing strategies, building recommendation systems, or detecting fraud in real-time, you'll dive deep into complex problems and see your contributions come to life. Here, you won't just observe—it's your opportunity to accelerate your growth in a tech-forward and data-driven environment. What You'll Do Contribute to the design and development of machine learning systems and data science solutions in production environments. Learn how to build, deploy, and operate scalable technical products as part of an engineering team. Contribute to internal research and development projects, delivering meaningful impact from the start. Work with an assigned team buddy to onboard quickly and effectively integrate with team workflows. What You'll Bring Pursuing a Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or a related field is required. Strong understanding of statistics and hands-on experience programming in Python. Background in collaborative technical work, either through internships, academic projects, or team-based coursework. Familiarity with version control tools such as Git is preferred. Eagerness to explore new technologies, tools, and quantitative approaches. Prior internship or co-op experience in a corporate or technical environment is a plus. The US hourly range for this full-time position is $36-$45, plus bonus, equity, and benefits as applicable. Our salary ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range and how that was determined during the hiring process. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

Supporting X323 Tradecraft innovation team - Experience creating analytics leveraging Access Discovery and CNE experience is required. Will need to have familiarity with AMOD query tools. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

DS position on a team in C323 supporting a project that leverages advanced AI techniques, including natural language processing, computer vision, and machine learning. The project streamlines the analysis of engineering documents, performs comprehensive system decomposition, and identifies potential vulnerabilities. The framework provides a holistic approach to understanding, managing, mitigating cybersecurity risks, but integrating mission and system decomposition, software bill of materials analysis, and enriching vulnerability discovery capabilities. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Raritan, New Jersey, United States of America, San Diego, 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 Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is flexible - Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing i nnovative evidence solutions and critical insights through diverse data sources , including RWD , trial data and emerging innovative data sources, to support clinical programs and regulatory decision-making . We are seeking a dynamic Director to lead Real-World Evidence (RWE) initiatives across therapeutic areas ( xTA ) within the R&D Data Science & Digital Health organization. This role will be instrumental in advancing our enterprise-wide RWE capabilities , fostering cross-functional collaboration, and driving innovation in evidence generation. The successful candidate will partner closely with senior leaders across R&D and commercial to shape the RWE ecosystem, influence regulatory policy, and elevate J&J’s scientific leadership internally and externally. This is a high-impact role for a strategic thinker and hands-on leader passionate about transforming healthcare through data-driven insights. Other Key Responsibilities include: Lead cross-TA RWE initiatives that support clinical development, regulatory submissions, and strategic decision-making. Partner with internal stakeholders and external collaborators to co-create integrated RWE strategies and solutions. Contribute to shaping regulatory policy and standards for RWE through scientific engagement s. Develop and disseminate best practices for novel RWE design and methodologies. Provide scientific leadership and subject matter expertise in study design, analytics, and interpretation of evidence research. Support the development of internal capabilities and tools to accelerate evidence generation and delivery. Promote a culture of innovation, scientific rigor, and continuous learning across the RWE function. Required qualifications: Ph.D. or Master’s in epidemiology, biostatistics, outcomes research, health policy, or related field. 8 + years of relevant experience in biopharma, RWE consulting, or healthcare industries. 3 + years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods. Experience with diverse data sources (EHR, claims, registries, trial data, digital health) . Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. Preferred qualifications: Experience in regulatory-grade evidence generation and regulatory engagement. Demonstrated ability to lead cross-functional initiatives and influence without authority. Subject matter expertise in one or more therapeutic areas. Experience working in matrixed, global organizations. 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. #LI-GR #LI-Hybrid #JRDDS #JNJDataScience #JRD Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: 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 Additional information can be found through the link below.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Principal, R&D Data Science and Digital Health, Real-World Evidence (RWE) Statistics Preferred location: Titusville, NJ ; Sping House, PA ; San Diego, CA or Cambridge, MA. Remote work considered on a case by case basis Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine. The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include: Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members. Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery. End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data (“RWD”) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Familiarity with drug discovery and the clinical development process Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments. 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. #jrdds #JNJDataScience #LI-Remote #LI-GR Required Skills: Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $137,000 - $235,750 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 Additional information can be found through the link below.

Working at QVC Group means joining a live social shopping company with incredible teams, ambitious projects and amazing careers. QVC Group, Inc. is a Fortune 500 company with six leading retail brands - QVC®, HSN®, Ballard Designs®, Frontgate®, Garnet Hill® and Grandin Road. Your Opportunity, Your Team The Sr Manager, Data Science is a hands-on team leader to build and scale QVC's machine learning, AI, and data platform for wide-ranging applications aimed at improving timeliness and accuracy of the business decisions, to grow revenue, customer file, and profitability. The Sr. Manager helps drive the data science and AI priorities at QVC Group by designing and implementing scalable and automated advanced analytics and decision support solutions. You will take on initiatives across the retail commercial value chain, customer experience, and Finance. Through the work, you will create new and advanced Data Science based business processes that result in improved outcomes. Past example projects include multi-touch sales attribution, pricing optimization, econometric sales forecasting, airtime optimization, recommendation engines, AI forecasting and analytics, and customer targeting models. Where You'll Work This role is hybrid and will require you to be onsite at West Chester, PA several days per month (onsite days are predetermined and standard across the company). Job seekers must reside in one of the following states to be considered: DE, NJ, PA. Relocation assistance is not available for this role. What You'll Do Hands-on design and development of machine learning and AI models, and successfully implement with end-users with favorable business impact; models must be validated to highest standards of accuracy, consistency, and business relevance Maintain a steady prioritization of projects and tasks with clear timelines of deliverables, managing expectations of supervisor and business stakeholders; Proactively identify and clear roadblocks to project deadlines and successful adoption; partner with Business and Enterprise Data Management IT teams to escalate and influence clearing the roadblocks promptly Be on the cutting edge of implementing and activating GenAI and Agentic AI technologies with potential tool-chaining of ML models to simplify complex workflows and analyses, enhance decision-making, and transform business planning and execution processes Present project updates and perform demonstration of successfully implemented Data Science capabilities to the Executive leadership audience Lead and mentor Data Scientists to exceed expectations by delegating and coordinating deliverables; fully own the quality and timeliness of the Data Scientist's deliverables What You'll Bring 12+ years of overall analytics experience, can be inclusive of post graduate work; 2+ Years of managing teams or large projects in Data Science, Analytics, Business Intelligence, and Data Product management Education: Bachelors in Data Analytics, Economics, Operations Research, Engineering, Computer Science, Statistics, Mathematics, Econometrics or similarly related analytical field; Masters in Lieu of 1 year of experience; PhD in Lieu of 3 years of experience 10+ years of experience with Data Science model development with a combination of Bayesian statistics, multivariate regression analysis (beyond linear regression), forecasting/predictive analytics, supervised learning, unsupervised learning, time-series analysis, mixed integer and linear programming using optimization packages such as Gurobi, CPlex, or others Mastery in one or more Data Science platforms: Databricks, Microsoft Azure, Google BigQuery or AWS cloud platforms, and practical machine learning using frameworks such as scikit-learn, H2O, TensorFlow, Caffe, Mllib, finetuning LLMs, AgentBricks Demonstrate ownership and accountability towards deliverables and urgent needs by handling Data Science projects and analytical business requests simultaneously Excellent Problem-Solving ability to independently breakdown complex business problems and apply Data Science tools and models to solve problems, validate outputs, and influence results #LI-Hybrid #LI-LC4 Our Total Rewards package includes benefits you’ll love such as competitive compensation, paid time off, an employee assistance program, parental leave, paid volunteer hours, and amazing company discounts! In our US market, you can also expect health care benefits starting on day 1, 401(k), and tuition reimbursement benefits. QVC Group is committed to inclusion and belonging for all and ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal, state, and local laws and regulations. As an equal opportunity employer, QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout, please contact us at workwithus@qvcgrp.com for assistance. If provided, salary ranges are a general guideline only, and actual salaries will vary and are based on factors such as a candidate's qualifications, skills, experience, and geographic location as well as business and market conditions.

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and Twitter , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Role The Central Analytics team drives evidence-based decision-making throughout Twitch. As researchers and thought leaders, we leverage foundational data, sophisticated ML models and cornerstone analyses to inform product strategy, guide business decisions, and unlock new capabilities. Our interdisciplinary team brings together experts in data science, machine learning, and user research to continuously innovate and improve the world's leading live-streaming platform. Our team is seeking an exceptional intern with demonstrated proficiency in applying machine learning and statistical methods to extract valuable insights from complex data. We value creative problem-solvers who possess a strong analytical foundation and the communication skills necessary to thrive in a collaborative environment. Our problems cover many different aspects of user behavior on Twitch, from predictive modeling of onsite viewer engagement and commerce activity, to advanced fine-grained cohort analyses of user behavior and their evolution on Twitch. The ideal candidate possesses strong quantitative reasoning skills to design and implement data science workflows, identify key patterns within large datasets, apply appropriate statistical methods, and translate those findings into clear, actionable recommendations. You Will: Drive Twitch’s understanding of users and their activity through ownership of research projects from data collection to model development, estimation, and validation Identify and pursue projects with significant business impact, and make compelling cases for prioritization and resource allocation. Collaborate with specialists in data science, analytics, engineering, and economics disciplines to efficiently develop reliable and reproducible analyses at scale. Deliver well-documented datasets, tools, and reports to key technical and business stakeholders. You Have: MS in data science, machine learning, computer science, statistics, or highly related field OR 2+ years experience on a data, research, or applied science team OR equivalent applied research experience Adherence to good coding standards and working knowledge of SoTA machine learning techniques, including forecasting, time-series modeling, natural language processing (NLP) and unsupervised learning. Fluency in data-science tools: Python, R, SQL, and associated AI/ML libraries. Maintain proficiency with version control systems to ensure collaborative development and reproducibility Excellent written and verbal communication skills on quantitative topics Keen judgment for balancing research depth and pacing Bonus Points Familiarity with Twitch/streaming Familiarity with generative AI (GenAI) tools Perks Medical, Dental, Vision & Disability Insurance 401(k) Maternity & Parental Leave Flexible PTO Amazon Employee Discount Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Job ID: TW8992 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $46.88/hr in our lowest geographic market up to $88.94/hr in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Twitch values your privacy. Please consult our Candidate Privacy Notice , for information about how we collect, use, and disclose personal information of our candidates.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you’ll do as a Senior Data Scientist, Football Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team . What you’ll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

About Us:We deliver the most advanced and flexible learning experience for certification, credentialing, test prep, continuing education, and training. Our cloud-based learning platform helps training organizations, associations and the extended enterprise deliver a highly engaging and effective learning experience for individuals looking to advance their careers. We incorporate the latest in learner-centered technology, including personalization, gamification, data science, usability and omni-channel delivery.We’re sitting in a pivotal time in the BenchPrep history. The number of learners on our cloud-based learning platform has reached nearly 11 million as of 2024.We’re committed to helping people learn better, and that starts with our own people.This position is remote (along with all of our BenchPrep positions). BenchPrep is looking for a hardworking, ambitious Staff/Senior Accountant to support its growing operations. This position will report to the Controller.About the role:Within the Accounting function at BenchPrep, you'll play a pivotal role in our finance team. Your focus will be on maintaining accurate financial records, preparing reports, analyzing data, and ensuring regulatory compliance. You'll contribute to budgeting, forecasting, audits, and process improvements, supporting our financial health and strategic decision-making. The ideal candidate has a strong background in accounting, financial analysis, and reporting, along with excellent analytical skills, attention to detail, and the ability to communicate financial information effectively across the organization. Proactivity, problem-solving abilities, and a commitment to continuous improvement are also essential.The key components of the work you’ll be doing in this role are:Manage accounting function including account reconciliations, journal entries, AR, AP, and BillingAnalysis and review of company expenditures, confirming proper allocation of expenses to the various departments, and reporting to these departments as necessaryReview transactions to ensure accounting treatment is in accordance with GAAP and company policies and proceduresAnalyze billing transactions to ensure proper allocation of revenue recognition policiesReview general ledger accounts and making all necessary journal entries including posting monthly, quarterly, and yearly accrualsAssist in building financial statements including balance sheet, income statement, and changes in financial position, as well as budget variance analysisAssist in the design and preparation of budgets for review by managementPrepare year-end schedules for the annual tax returnsLook for ways to improve upon accounting processes and proceduresSkills and experiences we value:Bachelor’s degree in accounting; CPA preferred3-5 years (Staff Accountant), or 5-8 (Sr Accountant) years in accounting or auditing; public accounting experience preferredTeam player with a positive attitude towards contributing and learningThorough knowledge and experience in the areas of financial statement preparation, GAAP, and revenue recognitionStrong verbal/written communication skillsExcellent analytical and problem solving skillsAbility to work well independently and in a team environmentSelf starter, quick learner, and ability to multitask on a regular basisDetail-oriented with excellent organizational skills and deadline drivenCapacity to thrive in a fast-paced environmentStrong sense of ownership on issues and following through to completionAdvanced proficiency with Microsoft ExcelExperience working in accounting systems (NetSuite, Intacct, Quickbooks, etc.) strongly preferredNote: We know that excellent candidates can have all sorts of backgrounds and experiences, so please don’t hesitate to apply even if you don’t meet 100% of the listed requirements. And check out our blog post to learn more about inclusion at BenchPrep in the Engineering team."Life at BenchPrep: We work at BenchPrep because we’re dedicated to the mission, and each day we have an opportunity to be challenged and learn. We work hard and have lots of fun. Culture is our lifeline at BenchPrep. We celebrate our people, both professionally and personally. We care about learning so much that we offer employees $1,200 annually to develop their skills so they can continue to operate everyday with new skills. It’s no wonder we were selected in Inc’s Best Workplaces of 2024 and Crain’s 2020 Best Places to Work in Chicago lists.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We are looking for high performing and motivated professionals who are excited about the chance to leverage technology to impact the lives of millions of learners. Join us.At BenchPrep, we pride ourselves on offering a great total rewards package to each employee, including medical and ancillary benefits, potential for yearly bonus, stipends for work-from-home expenses, flexible paid time off (our version of unlimited PTO), annual professional development stipend dollars, and of course, a competitive base salary. The salary range for this position is between $65,000-$85,000, and is set based on Chicago market data. Please note this refers to the amount BenchPrep is willing to pay at the time of this posting.For information on how we collect and dispose of information, please view BenchPrep’s privacy policy statement here.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 150,000 businesses worldwide – including Brex, Rippling, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 1,800 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$6.2 billion and backed by world-leading investors including Visa, Airtree, Blackbird, Sequoia, DST Global, Greenoaks, Salesforce Ventures, Lone Pine, and Square Peg, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles . You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next. The Role We’re looking for a Data Science Director for Growth to lead the data science engine behind Airwallex’s next phase of hyper-growth. This is a senior leadership role at the intersection of data, product, and growth strategy — responsible for driving measurable impact across acquisition, activation, conversion, retention, and monetization. You will shape how we use experimentation, advanced analytics, and machine learning to unlock step-function growth, partnering closely with leaders in Product, Engineering, Marketing, and Design. This role is ideal for a growth-minded data science executive who thrives in a fast-scaling, high-impact environment. This is a full-time role based in San Francisco . What You’ll Do Lead & Scale a High-Impact Team: Build, mentor, and inspire a world-class data science & AI team focused on driving user and revenue growth. Foster expertise in applied ML and GenAI, ensuring the team balances experimentation, traditional DS rigor, and cutting-edge AI capabilities. Own Experimentation at Scale: Architect and oversee our experimentation framework — A/B testing, multi-arm bandits, and causal inference — to accelerate innovation. Extend this framework into AI-driven adaptive experimentation , leveraging bandits and reinforcement learning to allocate growth investments dynamically. Develop Growth-Focused AI Solutions: Agentic workflow for Growth: build copilots and agent workflows (e.g., automated campaign generation, sales assistant bots, lead research copilots) Personalization engines: Use embeddings and recommendation models to deliver contextualized product experiences and lifecycle messaging. Advanced segmentation & profiling: Learn patterns & turn data into numbers: Leverage ML + embeddings to identify high-value prospects and clusters. Churn & retention modeling: Predict customer behavior and trigger AI-driven lifecycle interventions. Propensity scoring & lead prioritization: Blend predictive ML with LLM-powered enrichment of firmographics/intent data. Pricing & incentive optimization: Apply reinforcement learning and causal ML to optimize offers in real time. Deliver Strategic Insights & AI-Enhanced Playbooks: Translate complex DS/AI outputs into growth playbooks, roadmaps, and investment strategies. Build self-serve AI-driven insights tools (e.g., natural language query over growth data via LLMs) for cross-functional partners. Partner Across Functions: Work hand-in-hand with CRO, Head of Growth, Growth PMs, Growth Engineers, Marketing, and Sales to embed data-driven thinking into every growth initiative. Define Metrics & Drive Measurement: Establish clear KPIs for acquisition, activation, retention, and LTV; ensure rigorous and consistent measurement across markets and teams. Champion Data-Driven Culture: Elevate the role of data science in shaping business strategy and mentor the next generation of data science leaders at Airwallex. Who You Are Experienced Growth Leader: 10+ years in data science, analytics, or applied ML, including 5+ years leading teams at scale in top-tier tech, fintech, or growth-driven businesses. Deep Growth Expertise: Proven track record of using data science to drive customer acquisition, funnel optimization, personalization, and retention in high-growth B2B products. Technical Depth: Strong background in analytics, statistical modeling, causal inference, experimentation design, and proficiency with Python/R, SQL, and cloud-based data platforms. Strategic Operator: Comfortable navigating business trade-offs, prioritizing initiatives for outsized growth impact. Cross-Functional Influencer: Skilled at partnering with Product, Engineering, and Marketing leaders to align on shared goals. Builder Mindset: Thrives in fast-scaling environments with high ambiguity and is excited to build teams, systems, and best practices from the ground up. Communication: Exceptional verbal and written communication skills with the ability to influence executive-level stakeholders and translate complex model results into actionable business insights. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @ airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.