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Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: Vision & Impact SoFi is seeking an inspirational and deeply experienced Senior Director to lead and define the strategic direction of our Risk Data Science function. Reporting to the Chief Credit Officer, this executive role will lead the development, deployment, and governance of credit decisioning models - from underwriting and portfolio management to loss mitigation. The ideal candidate is a hands-on leader and a visionary who can transition the team from traditional modeling to next-generation machine learning platforms, leveraging emerging data sources (e.g., cash flow, alternative bureaus) to significantly improve underwriting performance, reduce losses, and ensure rigorous adherence to Model Risk Management (MRM) standards. This role requires exceptional organizational leadership, an ability to influence executive stakeholders, and proven success in delivering complex models into a regulated production environment. What You'll Do (Key Responsibilities) Strategic Leadership & Vision: Define and Champion Strategy: Develop and articulate the 1-3 year roadmap for Risk Data Science, aligning all priorities with the broader Credit Risk and Business Unit objectives. Drive Next-Generation Capabilities: Incorporate industry trends and advanced techniques (NLP, Graph Mining, LLMs, Deep Learning) to solve complex, high-impact risk problems where established principles may not fully apply. Talent and Team Development: Lead the current team of high-performing Staff and Senior Data Scientists. Recruit, mentor, and foster talent through deliberate interactions, succession planning, and creating a high-accountability, low-ego culture. Execution & Delivery: Underwriting Excellence: Directly oversee the development and deployment of Next Generation Underwriting models designed to increase origination while maintaining loss guardrails. Loss Mitigation & Collections: Drive the successful build-out and implementation of new Collection and Entry Rate Models to optimize outreach strategies and reduce losses. Loss Forecasting & Compliance: Lead the development of Loss Forecasting and CECL models, ensuring they align with industry practices and meet all regulatory requirements for the firm's balance sheet and reserve calculations. Alternative Data Strategy: Spearhead the evaluation and integration of alternative data sources (tri-bureau, LexisNexis, cash flow data) to enhance predictive power across all credit products. Governance, Compliance, and Cross-Functional Influence: Model Risk Management (MRM): Act as the primary owner for all models in the portfolio, ensuring robust documentation, monitoring, and successfully navigating the 2nd Line of Defense (2LOD) review and approval process (SR 11-7 familiarity is mandatory). Stakeholder Alignment: Interact and negotiate with senior management, executives (CCO, CFO, Product Leads), and external stakeholders to reconcile competing views and drive critical, high-impact business decisions. Automation and Efficiency: Lead efforts to automate model monitoring and governance processes (ModelOps) to create scalable and auditable infrastructure. What You'll Need Experience: 12+ years of progressive experience in credit risk, modeling, and data science within a regulated financial institution (FinTech, Bank, or similar), with at least 7 years in a senior leadership/management role (managing managers and/or technical leads). Education: Master’s or Ph.D. degree in a quantitative field (Statistics, Computer Science, Engineering, Operations Research, etc.). Technical Acumen: Deep expertise in advanced statistical and machine learning modeling techniques (e.g., Gradient Boosting, Deep Learning, Causal Inference). Regulatory Knowledge: Detailed working knowledge of model risk management standards (e.g., SR 11-7) and the ability to operate within a highly regulated environment. Tools & Platforms: Expert-level proficiency in Python (PySpark, scikit-learn, TensorFlow/PyTorch) and SQL/data warehouse technologies (e.g., Snowflake, Hive). Familiarity with modern MLOps platforms and cloud computing (AWS). Communication: Exceptional executive presence and the ability to distill highly complex analytical concepts into clear, concise, and compelling narratives for non-technical leadership. Why You’ll Love It Here You will have the autonomy to build the future of risk modeling at a high-growth, innovative financial technology company. Your contributions will directly impact the financial health of millions of members. Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Are you ready to make an impact? West Monroe is seeking a Director, Data Science for our rapidly growing Technology and Experience practice. As a Director Data Science, you will join a Leadership Team focused on cultivating teams that leverage data to unlock actionable insights for our clients, while mentoring the next generation of data science leaders at West Monroe. This role entails significant responsibility in shaping and delivering our Analytics vision; candidates should be passionate about what they do and be prepared to embrace West Monroe’s fast-growing and entrepreneurial environment. This leadership role will have three areas of responsibility: Practice Development Collaborate with national and local leadership within Data Engineering & Analytics practice and across West Monroe (WM) industry and functional practices, to develop and deliver multi-disciplinary, data-driven offerings Actively lead innovation activities, often in partnership with industry and functional experts and data engineers, to expand and enhance WM’s Analytics solutions and capabilities Develop knowledge of emerging data science techniques; socialize and teach concepts to WM data science community Lead, mentor and grow consultants and actively participate in the career advisory and performance management process Actively participate in recruiting and retaining top quality data scientists Client Delivery Provide quality assurance and conduct frequent touch bases with client executives to ensure value is realized and understood from our engagements Manage and influence multi-disciplinary teams to translate client business objectives into data and analytics solutions; collaborate with data engineering, industry, and product teams to deliver impactful results for our clients Develop and deploy data-driven offerings and accelerators focused on addressing industry-specific challenges Provide leadership and mentorship for teams of data scientists on analytical techniques, and guide the translation of insights into actionable recommendations across multiple projects Excellent communication skills to be able to work with client representatives at all levels Establish and maintain relationships with external data and analytics vendors Business Development Engage with business partners across the firm to identify and cross sell opportunities Cultivate new and existing client development opportunities related to data and analytics Understand client needs to translate challenges and objectives into proposals Develop thought leadership in leading analytics techniques, including how to apply emerging ML techniques to deliver commercial results Attend conferences and networking events to further WM’s brand and market perception related to data and analytics   Qualifications Preferred Master's degree or PhD in a quantitative discipline (e.g., computer science, applied statistics, mathematics, econometrics, engineering) or equivalent experience 10+ years of technical experience in machine learning and statistics related work 5+ years of experience managing data scientists Demonstrated ability to apply advanced analytical and data science methods to commercial scenarios Extensive programming experience in Python or R Extensive experience designing and deploying machine learning solutions, including experience with leading cloud platforms (AWS, GCP, Azure) and corresponding machine learning services Ability to collaborate with WM team members across the firm (e.g., levels, geographies, practices) Strong presentation and communication skills, including the ability to explain complex technical concepts to non-technical audiences Entrepreneurial spirit and willingness to innovate on new and emerging solutions Legally authorized to work in the United States without limitation Ability to Travel, as required based on client and practice demands (expected to be 30%) Based on pay transparency guidelines, a reasonable expectation for the salary range for this role is listed below. Information on our competitive total rewards package, including our bonus structure and benefits is here .  Individual salaries are determined by evaluating a variety of factors including geography, experience, skills, education, and internal equity.​ Employees in proximity of our Seattle, Washington DC, Los Angeles, New York, and San Francisco offices will have a geographic premium applied to this salary scale.  Employees (and their families) are covered by medical, dental, vision, and basic life insurance. Employees are able to enroll in our company’s 401k plan, purchase shares from our employee stock ownership program and be eligible to receive annual bonuses. Employees will also receive unlimited flexible time off and ten paid holidays throughout the calendar year. Ten weeks of paid parental leave will also be available for use after successful completion of one year of employment.​   National $212,000 — $240,000 USD West Monroe is a digital services firm that partners with companies in transformative industries to deliver quantifiable financial value. We believe that digital is a mindset and it’s something companies become, not something they do. We bring together diverse, multidisciplinary teams that use their expertise to develop and execute new ideas and ways of working.    At West Monroe, we invest in our people and care in a big way. We are growing the next generation of leaders who lead with inclusion, enabling us to address our clients’ most complex challenges. If you’re looking for a place where you’ll feel supported, our team will help you grow. We believe that growth breeds opportunity for all. And know that when we come together, we can do what's never been done.   Our fast-paced culture and collaborative teams bring the energy and expertise needed to make an impact and deliver beyond expectations. If you are ready to set big goals with us , j oin us on our journey of building what matters for our clients, our people, and our communities.   West Monroe   is an Equal Employment Opportunity Employer   We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law. To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion .   If you are based in California, we encourage you to read West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act (CCPA) and linked here .  

Company Information For more than 20 years, AEG has played a pivotal role in transforming sports and live entertainment. Annually, we host more than 160 million guests, promote more than 10,000 shows and present more than 22,000 events around the world. We are committed to innovation, artistry, and community, and leverage the power of our 300+ venues, leading sports franchises, marquee music brands, integrated entertainment districts, premier ticketing platform and global sponsorship activations, to create memorable moments that give the world reason to cheer.Our business is interwoven with the human mind and heart, and we strive to build a diverse and inclusive company that reflects the artists, athletes, and fans that we host; reach beyond traditional boundaries to support the communities in which we operate; and minimize our impact on the environment by adopting sustainable practices throughout our business operations.If you want to be challenged to up your game and make a difference, then join us in giving the world reason to cheer! Job Summary We are seeking a visionary Director of Data Science who will serve as a strategic leader in transforming how our organization leverages data to drive business decisions in the live entertainment industry. This role demands exceptional critical thinking skills, a keen eye for identifying untapped opportunities, and the ability to translate complex mathematical and statistical insights into actionable business strategies. Reporting to the VP of Data & Analytics and working closely with the Directors of Business & Consumer Analytics, this role will be responsible designing and implementing sophisticated models, then translating technical insights into clear business value propositions. Incumbent will start and gradually grow a team of data scientists who employ a diverse ecosystem of creative machine learning models, applied experience in artificial intelligence, and advanced statistical analyses. Essential Functions Focus on research and development through statistical modeling of large amounts of data; identify patterns and trends in data sets to use towards predictive analytics; develop actionable insights to guide data-driven decision making for AEG Presents. Data concepts we’ll be analyzing include ticket purchases, marketing campaigns, audience engagement, ancillary revenue, and much more. While working on a team that focuses on Business & Consumer Analytics, this role will work with all areas of the business, including Product, Marketing, Ticketing, Promoting, Venue Ops, & more. Working with these teams, this role will be responsible in developing a data science plan that allows the functions to use ML and AI to create sustained value to revenue, customer experience, and operations. Develop and execute comprehensive data science strategy aligned with business objectives, including predictive analytics for ticket sales, dynamic pricing models, and audience segmentation Collaborate with data engineering team to integrate data collection, data quality and core model output into production systems, to automate and advance built out algorithms and models. Continuously scan the entertainment industry landscape to identify emerging trends and competitive advantages through advanced analytics Model performance reviews and ongoing maintenance Required Qualifications BA/BS Degree (4-year) MA/MS Degree preferred 8-10 years Experience in data science and statistics 4-6 years Experience building, managing, mentoring, and inspiring high performing, collaborative teams that values testing and learning Proven expertise developing algorithms for solving diverse business challenges and creating value for the company Talent in analytical storytelling with extraordinary ability to convey complex analytical results to both technical and non-technical audiences; skill at building relationships across the organization and becoming a trusted, sought-after partner A strong passion and evangelism for data science, coupled with deep desire to adapt machine learning and cutting-edge technologies to provide high impact to AEG Presents business model Strong background working with large-scale both structured and unstructured data in distributed computing environments, including databases, data cleaning, and feature engineering Passion and focus on execution with demonstrated ability to get things done Well-versed in Python, R, SQL, statistical tools Experience with iterative and rapid experimentation process in the context of research and analytics Experience in ticketing or entertainment is preferred. Payscale: $174,211- $182,921.55 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits: Full-time: We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. AEG reserves the right to change or modify the employee’s job description whether orally or in writing, at any time during the employment relationship. AEG may require an employee to perform duties outside their normal description. AEG's policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law. Employer does not offer work visa sponsorship for this position.

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 Senior Product Manager, Consumer Data Science, you’ll define and execute the vision for how DraftKings leverages machine learning, predictive analytics, and experimentation to personalize customer engagement across our promotional product portfolio. You’ll oversee a team of product managers, drive alignment across Sportsbook, Fantasy Sports, and Casino, and collaborate with leaders in Data Science, Engineering, Marketing, and Analytics to build systems that automate and optimize how we attract, retain, and engage customers. This is a high-impact, strategic role where you’ll scale foundational data science capabilities that power personalization and marketing performance across the organization. What you’ll do as a Senior Product Manager, Consumer Data Science Define and drive the promotional Data Science product roadmap, spanning Sportsbook, Fantasy Sports, and Casino use cases. Lead a team of product managers across business lines, fostering prioritization, alignment, and team development. Translate business goals into structured product requirements for predictive models, segmentation logic, and experimentation frameworks. Partner with Data Science, Engineering, Analytics, and Operations to deploy machine learning systems at scale. Champion experimentation in your space—demonstrating business impact, evangelizing results, and incorporating learnings into future roadmaps. Build and evolve shared infrastructure for experimentation, model governance, and decision orchestration across verticals. Ensure end-to-end alignment from data ingestion through model deployment to drive automation, customer value, and marketing ROI. Influence DraftKings’ broader data science strategy by advocating for scalable, ethical, and customer-centric applications of ML and analytics. What you’ll bring Bachelor’s Degree in Computer Science, Mathematics, Business, or a related field. At least 7 years of product management experience, including 2+ years leading product or data science teams. Proven success managing machine learning–powered or analytics-driven products that deliver measurable outcomes. Deep understanding of personalization strategies, lifecycle marketing, and experimentation frameworks. Strong ability to break down complex problems into scalable product strategies and data science roadmaps. Familiarity with model development workflows, large-scale data infrastructure, and deployment best practices. Exceptional communication skills, especially in distilling technical concepts for non-technical and executive stakeholders. Experience balancing long-term vision with short-term delivery in highly cross-functional, fast-paced environments. Background in sports, gaming, or consumer technology is preferred; experience in Sportsbook, Fantasy Sports, or Casino is a strong plus. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 136,000.00 USD - 170,000.00 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.

Site: The Brigham and Women's Hospital, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Job Summary Ariadne Labs is a joint center for health systems innovation at Brigham and Women’s Hospital and the Harvard T. H. Chan School of Public Health. Our goal is to drive scalable solutions for better care at critical moments in people’s lives everywhere. Better care means better health outcomes, lower costs, and more actual caring. Critical means solving health systems failures that have major impact, typically touching people by the millions. The Science and Technology Platform provides subject matter expertise in three scientific disciplines: Computer science, data science, and implementation and improvement science. The Platform collaborates with teams across the Lab to deliver technology solutions and ensure projects meet high standards for scientific rigor. Under the supervision of the platform manager, the data analyst will lead data analysis and coordination activities for a multi-state public health research project evaluating the integration of genomic sequencing into newborn screening programs, as well as contribute to other ongoing Lab projects. This includes developing and maintaining REDCap data systems, coordinating with study partners, applying advanced programming skills to manage and clean complex datasets, and conducting analyses in collaboration with research teams.Ideal candidates will have strong experience working with quantitative data and an interest in applying their skill set to help solve health systems problems, particularly around the integration and use of genomics in healthcare. This is an excellent opportunity to apply and strengthen skills in data analysis, quantitative methods, and health systems research with flexibility to grow as a technologist, data scientist, researcher, and designer. We are looking for individuals who embrace complex challenges and bring creativity and energy to solving them. Qualifications Principal Duties and Responsibilities Serve as the lead data analyst for a large, NIH-funded, multi-site feasibility study examining implementation of genomic newborn screening within existing state public health programs, spanning ~14 implementation sites, ~7 public health laboratories, and up to 30,000 newborns. Design, build, and maintain secure and scalable REDCap databases and data systems to manage complex, multi-source data streams. Coordinate with study partners and remote teams to design, implement, and maintain robust data systems that support the setup and ongoing operations of the study. Ensure data completeness, consistency, and integrity across multiple sites by developing and automating data quality checks and monitoring reports. Apply advanced programming techniques to clean and transform raw data into usable formats for analysis and reporting. Develop dashboards, reports, and visualisations to communicate findings to technical and non-technical stakeholders. Conduct exploratory and statistical analyses to identify trends, patterns, and correlations. Collaborate on other projects across Ariadne Labs by contributing to data-related activities as needed, including data collection, integration, cleaning, analysis, and visualization. Partner with cross-functional teams to scope requirements, design solutions, and support execution toward shared goals. Develop collegial relationships with collaborators, program leaders, and internal and external stakeholders. Required Qualifications and Skills A cover letter is required. Shortlisted candidates will be invited to complete a brief analysis exercise as part of the selection process. BA/BS required - preferably in Statistics, Data Science, Economics, Computer Science, Public Health, or a related field. 3–5 years of experience managing and analyzing complex health research datasets, preferably in multi-site clinical or public health studies. Expertise in REDCap, including project design, longitudinal data capture, data quality checks, and complex workflows Strong critical thinking skills and exceptional attention to detail Expertise in an analytical programming language (R or Python), with the ability to independently design, optimize, and troubleshoot complex data workflows Strong grasp of descriptive and inferential statistics Strong communication and presentation skills and experience working collaboratively with cross-functional teams Experience with data visualization tools (Tableau, Looker, etc.) Experience using version control tools (e.g., Git/GitHub) to manage code Ability to work independently and proactively drive projects forward with minimal direction Ability to assess project requirements, ask questions, and effectively navigate ambiguity Preferred Qualifications and Skills Familiarity with ETL/ELT processes and workflow automation Interest in health or scientific systems research Familiarity with genomic or laboratory data Statistical modeling including regression analysis This is a hybrid position with the expectation of 2-3 days per week in the office. Additional Job Details (if applicable) Our Core Values: Respect for the Ariadne Labs mission, our community, each other, and ourselves Stewardship of our work and resources Pursuit of excellence, with a focus on continual improvement A belief in a collaborative, multidisciplinary approach to our work A commitment to meaningful diversity and inclusion in our work and in the Ariadne Labs community If you’re excited about this role but don’t meet every qualification, we encourage you to apply anyway. Ariadne Labs welcomes diverse backgrounds, experiences, and perspectives, and we value candidates who bring new ideas and innovative thinking to our team. Remote Type Hybrid Work Location 399 Revolution Drive Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $62,400.00 - $90,750.40/Annual Grade 6At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications. We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Iterative Innovation, and Passionate Discourse . We live and breathe these values every day. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Any questions regarding the virtual recruiting process, please reach out to recruiting@belvederetrading.com.

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Associate Data Science Actuary, Biometric Assumptions is a qualified actuary with data science capabilities. The Biometric Assumptions Team provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Associate Data Science Actuary will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Location: HYBRID at RGA HQs in St.Louis, MO or OPEN TO REMOTE Responsibilities Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards Communicate with a variety of stakeholders at various levels of seniority Offer risk management skills to any data processing or modeling exercise: Understand business context & where material scope for error lies Adhere to professional standards, best practices, and ethical guidelines Understand the strengths and limitations of a modeling approach Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines Stay abreast of new techniques, but focusing on practical applications Liaise with RGA's data scientists across the globe about more sophisticated data science applications Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field FSA accreditation or equivalent Minimum of 6 or more years of actuarial experience in life insurance/reinsurance/pension risk transfer 2+ years statistical on-the-job modeling experience (not exam based) for insurance or related applications (Regression, Decision Trees, Time Series, etc.) Statistical programs/languages (R or Python) Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) Advanced predictive modeling skills Tree-based models, GLMs, GAMs, etc. Cross-Validation, Residuals and model diagnostics Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation Advanced exploratory data analysis skills - Plots and graphics (BI/ggplot) Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques Transform data to enhance its predictive value (feature engineering) Advanced ability to translate business needs and problems into viable/accepted solutions Advanced investigative, analytical, and problem-solving skills Preferred Experience with longevity product design / pricing / experience studies / assumption development Reinsurance industry experience Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field 4+ years of experience with statistical modeling for insurance Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) Basic data engineering capabilities (Python, Scala) Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering #LI-DL1 #LI-HYBRID Compensation Range: $114,750.00 - $175,450.00 Annual Base Salary What you can expect from RGA: Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential. Compensation Range: Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

General Summary Elevate is a leading online lending platform specializing in providing small dollar loans to individuals and businesses. Our mission is to offer accessible and responsible financial solutions through innovative technology and personalized service. As we continue to grow our operations, we are looking for a dynamic and strategic Vice President of Credit Risk Management to join our leadership team. Principal Duties and Responsibilities Strategic Leadership Develop and execute a comprehensive credit risk management strategy aligned with the company's growth objectives. Stay abreast of industry trends, competitive practices, and regulatory changes to inform strategic decisions. Collaborate with the executive team to integrate credit risk considerations into overall business strategy. Portfolio Performance Help design and monitor portfolio reports, dashboards, and KPIs that allow executive management to measure portfolio profitability. Develop and maintain a strong relationship with Marketing, IT, Legal/Compliance and other functions to ensure alignment of Risk Management initiatives with Company objectives. Work with internal risk partners to improve the efficiency and effectiveness of the end-to-end programs for each business. Analyze the expected risk impacts and profitability of new products/Marketing channels. Make recommendations and execute strategy enhancements to improve profitability through creative Risk Management solutions. Work with product and marketing to set goals on different financial levers (first pay defaults, fund rates, cost of acquisition, profitability, etc… Innovation and Technology Integration Champion the adoption and integration of innovative technologies that enhance risk assessment processes, such as AI and data analytics tools. Explore opportunities to improve customer experience and operational efficiency through technology solutions. Team Leadership and Development Lead and mentor a high-performing risk management team, promoting a culture of innovation, accountability, and collaboration. Foster talent development and ensure team members have access to the training and development they need to excel. Regulatory Compliance and Governance Ensure all credit risk management practices are compliant with relevant laws and regulations. Collaborate with legal and compliance teams to develop risk policies and procedures that align with best practices and regulatory requirements. Stakeholder Engagement Build strong relationships with internal and external stakeholders, including executives, product teams, and regulatory bodies. Present credit risk strategies and findings to the board and senior leadership in a clear and compelling manner. Experience and Education Master's degree in Finance, Business Administration, Economics, or a related field; PhD preferred. 10+ years of experience in credit risk management within the financial services or online lending industry. Proven track record of strategic leadership and driving high-impact initiatives successfully. Strong expertise in credit risk modeling methods, including experience with machine learning techniques. Excellent understanding of regulatory requirements and best practices in credit risk management. Exceptional analytical skills, with the ability to synthesize complex data and make informed decisions. Proven ability to drive innovation using technology and data analytics. Strong interpersonal and communication skills, with the ability to influence at all levels of the organization. California Employee Privacy Policy | Family & Medical Leave Act | Employee Polygraph Protection Act |E-Verify #LI-BJ1

Data Science Graduate This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Education and Experience Required: Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent. Typically 0-2 years experience. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #grads Job: Engineering Job Level: TCP_01 States with Pay Range Requirement The expected salary/wage range for a U.S.-based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html . USD Annual Salary: $60,800.00 - $181,200.00 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

We are PMG Named Ad Age Best Places to Work for 10 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. Who You’ll Be Working With At PMG, our Data Science team is at the core of transforming complex data into strategic insights that drive smarter marketing, media, and business decisions. We don’t just analyze numbers—we build predictive models, develop automation, and refine AI-driven solutions that help brands optimize performance, personalize experiences, and maximize impact across digital channels. You’ll collaborate with engineers, analysts, media strategists, and product teams, applying advanced data science techniques to enhance targeting, improve measurement, and develop next-generation marketing intelligence. Whether it’s training machine learning models, engineering scalable data pipelines, fine-tuning optimization algorithms, or advancing AI-driven marketing strategies, your expertise will help brands connect with the right audiences, at the right time, with the right message—more efficiently than ever before. Beyond execution, you’ll play a key role in exploring emerging AI technologies, refining data science methodologies, and shaping the future of predictive analytics and automation. You’ll have opportunities to test new approaches to measurement, integrate deep learning into decision-making processes, and experiment with AI-powered media solutions that redefine what’s possible in digital marketing. At PMG, we don’t just respond to industry trends—we set them, ensuring our clients stay ahead in a rapidly evolving, data-driven world. As Head of Data Science, you'll have the opportunity to tackle complex challenges, lead AI-driven innovation, and turn analytics into meaningful business and marketing outcomes. What You Will Do Develops and champions the long-term (3-5 year) strategic vision and execution roadmap for a broad data science organization, ensuring alignment with PMG’s overarching business strategy and market leadership goals. Leads and mentors a team of Data Science Directors and/or Senior Managers, fostering a culture of high performance, strategic thinking, innovation, and impactful leadership across multiple teams. Accountable for the P&L or substantial budget of a large data science practice, driving revenue growth, cost efficiencies, and measurable ROI from AI/ML initiatives. Directs the incubation, scaling, and enterprise-wide adoption of cutting-edge AI/ML capabilities (e.g., federated learning, large-scale reinforcement learning, advanced knowledge graphs) that create significant competitive differentiation. Serves as a primary advisor to C-suite executives on AI/ML strategy, investment, and risk, translating complex technological possibilities into clear business implications and strategic opportunities. Builds and cultivates C-level relationships with key clients and strategic partners, acting as an executive sponsor for critical data science engagements and driving new business at a strategic level. Establishes and governs enterprise-level policies for AI ethics, data governance, model risk management, and regulatory compliance, ensuring responsible and secure AI deployment at scale. Represents PMG's AI/ML thought leadership and capabilities at premier industry events, in influential publications, and with key industry analysts, shaping market perceptions and attracting top talent. Drives organizational design, talent strategy, and succession planning for a significant segment of the data science function, ensuring a robust pipeline of future leaders and technical experts. Oversees the most critical and complex AI/ML programs, ensuring they deliver transformative business outcomes and set new standards for excellence in execution. Stay current with emerging data science–focused Python libraries and apply them effectively to develop models and business-impactful solutions. What you will Bring: 20+ years of experience in data science, including 10+ years of leadership experience, with a bachelor’s degree or equivalent work experience. Proven ability to lead and scale data science programs across complex organizations, translating strategic objectives into high-impact analytical initiatives. Deep expertise in machine learning, causal inference, and statistical modeling using Python, R, and advanced analytics frameworks. Strong fluency in experimentation design, forecasting, and measurement strategies to guide product and business decision-making. Skilled in collaborating with engineering and data platform teams to build scalable data infrastructure and production-ready modeling pipelines. Track record of influencing executive stakeholders through clear communication, analytical storytelling, and evidence-based insights. Experienced in building inclusive, high-performing teams, and mentoring data science leaders to foster innovation, growth, and consistency. A commitment to curiosity and adaptability as a Continual Learner, staying at the forefront of media innovation while prioritizing client success with a Customer-Focused mindset that seeks opportunities to deliver meaningful value. A dedication to People-Focused leadership, fostering collaboration, innovation, and professional growth by Leading by Example and nurturing strong relationships that empower others to excel. What We Offer Professional Development : Take advantage of our learning and development programs, mentorship opportunities, and career advancement support. Generous Time Off : Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones. Parental Leave : We provide paid parental leave to support your family during important life events. Retirement & Pension Plans : Plan for your future with competitive retirement or pension programs, including contribution matching. Fertility and Family Support : Access fertility benefits for all team members and their spouses. Healthcare : Coverage and support for everyday medical expenses and routine care, tailored by geography. Pet Insurance : Protect your pet's health and your finances. Lifestyle Spending Accounts : Enjoy 100% company-funded accounts to promote healthy habits and well-being. Commuter Benefits : Access support for travel and commuting needs, where available. Annual Bonus : All employees are eligible for an annual bonus. Volunteering Opportunities : Receive 8 give-back hours to volunteer in your local communities. AI Enterprise License : Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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 Are you a Data Scientist with outstanding analytical problem-solving skills with a passion to take on real life business problems along with a growth mindset? If Yes, Adobe is looking for Data Scientists like you to join their Digital Media B2B Data Science and Analytics team! With a focus on understanding DMe B2B customers, analyzing trends in product engagement, digital customer journeys and retention to better engage our customers with our products thereby increasing Customer LTV, you would be closely partnering with our Digital and Product Strategy, GTM and Sales teams. You will play a significant role in driving the growth of Adobe DMe B2B segment by analyzing and reporting on insights that drive critical business decisions. Ideal candidates are passionate about Adobe Products, are leaders with vision and growth mindset along with great teammates with good sense of humor! What you'll do Perform large scale data analysis and develop effective Machine learning models for segmentation, classification, regression, time series, etc. Enhance/Improve the existing M/L models to ensure continuous alignment with business objectives Design and implement reporting dashboards and track Key Performance Indicators and provide useful insights Suggest recommendations based on practical insights Unlock new opportunities for growth by discovering insights, automate processes and predictive modeling Work closely with product and strategy teams to proactively define Call to Action programs for B2B Customers Build and Analyze Digital Customers Journeys starting from different surfaces for B2B customers with an intent to suggest improvements in the journey stages and insights into optimization opportunities Develop propensity models to prioritize actions/leads Suggest improvements in technologies to help scale the team What you need to succeed A successful Data Scientist strives for long term success, along with: A self learner and quick starter Expertise in performing data extraction, manipulation and visualization Experience with distributed computing tools (Hadoop, Hive/Spark) Expert in SQL and proficient in Data Visualization tools like Power BI/Tableau Experience applying statistical and machine learning techniques like hypothesis testing, classification, regression, time series forecasting and clustering to real-world data sets Hands-On coding experience with at least one programming language (Python/R) Experience in solving analytical problems using quantitative and qualitative approaches Experience in presenting qualitative and quantitative analysis/insights Expertise in story telling with Data Experience working in a dynamic and agile environment, management of multiple projects with excellent Verbal and written communication skills Master’s in Data Science/Analytics/Statistics or related field 5+ years’ experience in Data Science/Product Analytics (Team lead experience preferred, however, not required) 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.

Strider Technologies is on a mission to deliver strategic intelligence that enables faster, more confident decision-making for organizations around the world. As the leading strategic intelligence company, Strider empowers organizations to secure and advance their technology and innovation. We leverage cutting-edge AI technology and proprietary methodologies to transform publicly available data into critical insights. These insights enable organizations to proactively address and respond to risks associated with state-sponsored intellectual property theft, targeted talent acquisition, and supply chain vulnerabilities. About the Role Strider is seeking a Data Science Manager to lead a team of 5-10 data scientists in architecting, building, and scaling AI-driven capabilities that power Strider’s core products. Your team will own some of the most technically challenging problems Strider faces and together you’ll be responsible for defining what we build and how we do it. This team succeeds by developing high-quality models and systems, accelerating delivery through the smart use of AI, and grounding all work in objective, measurable impact. We’re looking for someone who is both a doer and a catalyst – someone who thrives on mentoring others and whose passion drives them to continue coding. As a player-coach, you’ll have an opportunity to transform the business through both hands-on technical work and people leadership. You’ll lead your team to prototype fast, iterate intelligently, and help shape how AI elevates Strider’s ecosystem. What You Will Do Lead, mentor, and grow a team of 5–10 data scientists, fostering a culture of curiosity, experimentation, and impact. Help shape the data science strategy, contributing to the long-term vision of the team while continuously improving how we work. Architect and guide the development of data services and AI systems that power Strider’s current and future products — think entity resolution, knowledge graphs, large-scale systems that transform unstructured data into structured intelligence. Drive the integration and adoption of AI and machine learning that make our data science stack faster, smarter, and more autonomous. Oversee end-to-end delivery of complex technical projects, helping the team balance innovation, velocity, and precision. Partner cross-functionally with Engineering, Product, and Intelligence teams to translate ambiguous mission statements into technical solutions. Define and track metrics for progress and impact, ensuring that every model matures from experimentation to product, delivering quantifiable value. Be a coach, technical leader, and mentor – develop talent, guide architecture, and help your team unblock and level up. Push Strider’s technical boundaries — propose new methods, prototype novel architectures, advocate for scalable AI systems, and share learnings that move us all forward. What You Will Need to Be Successful 6+ years of hands-on data science experience, including production-grade model development. 2+ years of leadership experience with direct ownership of teams and project delivery. Deep expertise in Python; experience with a search infrastructure (e.g., Elasticsearch), graph-based methods, or distributed data frameworks (Spark, Ray, etc.) is a strong plus. Demonstrated success building AI-augmented workflows, tools, or data services that scale across use cases. Proven ability to take a nebulous question, frame it as a technical problem, and deliver a working system that people actually use. You know when to go deep and when to ship. Curiosity that borders on obsession — you read papers, explore new methodologies, test new tools, and challenge yourself because you love it. Relentless pusuit of excellence. Why Join This Team You’ll work at the intersection of AI, data science, and intelligence , leading the team in developing systems that power Strider’s most critical missions. You’ll play a central role in transitioning Strider from smart people solving hard problems to smart systems solving them at scale . You’ll have the autonomy to build—teams, architecture, processes—and define the evolution of Strider’s AI capabilities. You’ll collaborate with a team of motivated engineers, data scientists, and intelligence analysts committed to pushing technical boundaries and redefining what is possible in data-driven intelligence. Strider is an equal opportunity employer. We are committed to fostering an inclusive workplace and do not discriminate against employees or applicants based on race, color, religion, gender, national origin, age, disability, genetic information, or any other characteristic protected by applicable law. We comply with all relevant employment laws in the locations where we operate. This commitment applies to all aspects of employment, including recruitment, hiring, promotion, compensation, and professional development.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson and Johnson Innovative Medicine Research & Development LLC, a Johnson & Johnson company, is recruiting for a Director, R&D Data Science and Digital Health (DSDH) Immunology and Rare Disease. Is this person you? If it is, you will report to the Senior Director, R&D Data Science and Digital Health, Immunology and Rare Disease. The primary locations for this position are Cambridge, MA, Spring House, PA or Titusville, NJ. 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. Who We Are 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. Position Summary: Contribute to the design and execution of a Data Science & Digital Health (DSDH) strategy in alignment to the Immunology Therapeutic Area (IMM TA) goals and objectives Partner with DSDH colleagues and the IMM TA to define and prioritize a portfolio of innovative medicines in development in alignment with the IMM TA strategy To successfully meet these objectives, this individual will work closely with individual clinical project teams as well as functional area partners in Discovery, Late Development, Regulatory Affairs, Epidemiology, Market Access, Medical Affairs and other relevant functions. Responsibilities: DSDH related activities: Provide strategic input into the Immunology R&D DSDH priorities ranging from individual projects to large collaborations with internal functional areas and external institutions Identify viable data science and digital health opportunities and then conceive, develop and implement end to end study design and data analytical solutions. A specific example may include working with the Disease Area Stronghold (DAS) Leaders and Compound Development Teams (CDT) to develop the RWE DSDH strategy to improve early and late phase clinical study designs by supporting novel patient identification/ selection of end points (e.g., identification of at-risk patient populations through development of novel predictive algorithms) Serve as a key liaison to functional area partners and provide support for collaborations with DSDH, Epidemiology, and other internal functional areas to assure alignment on key DSDH programmatic goals aligned with the Immunology therapeutic area Execute the DSDH strategy across a matrixed cross-functional CDT and the Clinical Team, Provide strategic leadership on managing/addressing specific project/program-related issues and presenting to and negotiating with leadership teams on development plans or program-related issues. Participate in and may lead cross-functional teams for evaluation of new scientific opportunities, disease areas, product ideas, implement franchise business strategies, etc. Provide key input into diligence activities Participate or lead cross-departmental or cross-functional projects with broad Johnson and Johnson Innovative Medicine impact Author abstracts and scientific manuscripts for publication based on clinical trial data, real-world data, observational studies etc. Build credible relationships with opinion leaders and may act as company spokesperson regarding publication of research findings and presentations to relevant health authorities and consultant/advisory meetings. This is not an exhaustive, comprehensive listing of job functions. May perform other duties as assigned. Required Qualifications: MD, PHD, Master’s, or PharmD (or equivalent) in relevant area 8+ years of progressive business experience in the pharmaceutical R&D, data science, digital health, including life sciences companies, consulting firms with established healthcare Data Science and life sciences practices, and other companies in the data science ecosystem Consistent track record of collaboration and leading in a matrix organization, entrepreneurial skill, and ability to influence and engage strategic and technical partners Familiarity with data science, pharmacoepidemiology and digital health Knowledge of Immunology and the regulatory landscape Experience with healthcare datasets, such as EHR, or insurance claims Preferred Skills: A strong background in RWE/Data Science & Digital Health, as evidenced by an advanced degree in statistics, bioinformatics, computational biology, epidemiology, applied mathematics, computer science, physics, engineering or related fields Disease expertise in Immunology Experience delivering data science projects using predictive technologies, data mining and/or text mining Experience analyzing or handling healthcare data sets, including EHR, claims and registry data Experience with data science tools and statistical programming languages, including SQL, Python, R, and others Experience with defining use cases for deep learning, foundational models, and machine learning Ability to travel 15%, domestically and globally Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $160,000 - $276,000 Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following: Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Employees are eligible for the following time off benefits: – Vacation – up to 120 hours per calendar year – Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year – Holiday pay, including Floating Holidays – up to 13 days per calendar year – Work, Personal and Family Time - up to 40 hours per calendar year #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

PlanetScale is growing rapidly and reinventing the transactional database market. The PlanetScale platform offers both Postgres and Vitess clusters. Vitess, an open-source database clustering system for horizontal scaling of MySQL, enables businesses to efficiently handle large-scale data workloads — without sacrificing developer experience. PlanetScale is backed with over $100M in venture financing from top-tier VCs including a16z, Kleiner Perkins, SignalFire, and Insight Venture Partners. And we serve some of the most innovative companies in the world such as Block, Anysphere (Cursor), MyFitnessPal, Etsy, Kick, and thousands more. Our customers entrust us with what is often their most precious digital asset, their data, so the stakes couldn't be higher. We're looking for a leader to build and lead PlanetScale’s Data Science function to support best in class analytics, forecasting, and decision-making. What's the job to be done? Build and be responsible for PlanetScale’s data and analytics efforts from zero to one, and play a leading role in shaping decision making through data. You will be the key lynchpin connecting the business with data to inform how we are executing against our company goals and where to direct our resources. Your scope will be broad and cover at least the following: GTM Analytics: Partner with Marketing, Sales, and Customer Engineering to deliver pipeline, conversion, and ROI analytics; build forecasting for new business and retention, attribution, CAC/payback reporting. Product Analytics: Drive analysis of feature adoption, engagement, and retention indicators. Paint a picture of our customers’ health in general and across key areas of the product. Take ownership for implementing experimentation and testing to understand the success or failures of growth and product efforts. Analytics Engineering: Own our data warehouse and metric layer using your tools of choice. What you will need Fluency in SQL and analytical modeling: Expert at pulling, joining, and transforming data from complex schemas; able to define and maintain core business metrics (ARR, retention, funnel conversion) with precision. Hands-on experience building dashboards and analyses: Comfortable creating KPI dashboards in modern data analysis tools and running ad-hoc SQL analyses to drive product and business decisions. Proficiency with dbt or modern transformation frameworks: Capable of designing modular, testable models and documenting data logic for reusability. Analytical and statistical breadth: Skilled in experimentation (A/B testing, lift measurement), cohort and retention analysis, forecasting (Prophet, ARIMA), predictive modeling (e.g., lead scoring, churn prediction), and casual models. Python: Confident using Python notebooks for analysis, data cleaning, and lightweight modeling; familiarity with pandas, scikit-learn, or equivalent libraries. Working knowledge of data pipelines and orchestration: Can contribute to or extend ETL/ELT jobs in Airflow or Dagster; understands ingestion from SaaS and event sources. Bias for action and autonomy: Operates comfortably in a startup environment, prioritizing impact over perfection. Ability to collaborate across all functions: Excellent communication with everyone from execs to engineers; covering everything from schema design to collaborating on KPIs, experiments, and insights. Awareness of warehouse performance and governance (nice to have) — Familiar with optimizing BigQuery or Snowflake queries, managing spend, and monitoring data quality and lineage Why PlanetScale PlanetScale is a profitable company with a philosophy centered around building small teams of p99 individuals and is recognized as one of the fastest growing companies in America. At PlanetScale we believe in supporting people to do their best work and thrive no matter the location. Our mission is to build a diverse, equitable, and inclusive company. We strive to build an inclusive environment where all people feel that they are equally respected and valued, whether they are a candidate or an employee. We welcome applicants of any educational background, gender identity and expression, sexual orientation, religion, ethnicity, age, citizenship, socioeconomic status, disability, pregnancy status, and veteran status. If you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!

WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW AI and machine learning are redefining how CR serves consumers—helping people make informed choices through intelligent, data-driven experiences. The Full-Stack Software Engineer – AI/ML & Data Science will design, build, and deploy modern web applications and Services that operationalize AI and ML capabilities. Reporting to the Associate Director, AI/ML & Data Science, this role bridges cutting-edge data science with production-grade software, developing user-facing tools, APIs, and services that make AI models accessible and impactful. If you love working across the full technology stack—turning AI models and data into products that empower millions—this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How’ll You’ll Make An Impact: As a mission-driven organization, Consumer Reports is pursuing an ambitious AI strategy designed to drive value for our customers, empower our employees with next-generation tools, and address AI harms in the digital marketplace. Join our Data Office and help execute on a strategic, multi-year roadmap focused on advancing Machine Learning and Generative AI initiatives. As a Full-Stack Software Engineer on the team you will: Design and develop full-stack web applications , Data APIs, analytics dashboards that integrate AI/ML models. Build and maintain backend services and APIs using Python (FastAPI, Django) and Node.js , integrating with Databricks , AWS SageMaker , or similar platforms. Develop intuitive, responsive front-end interfaces using React.js , Next.js , JavaScript , and CSS (TailwindCSS or similar). Deploy scalable, cloud-native applications leveraging AWS , GCP , or Azure infrastructure. Work with AI/ML engineers to implement Retrieval-Augmented Generation (RAG) pipelines, vector databases, and AI model endpoints. Implement secure authentication, data access, and API management for consumer and internal applications. Build CI/CD pipelines, automate testing, and optimize system performance for production workloads. Partner with product and design teams to deliver user-centric AI application experiences. ABOUT YOU You’ll Be Highly Rated If: You have the experience. 5+ years of experience building full-stack applications in production using Python , Javascript, SQL/NoSQL systems and frameworks. You have the education. You’ve earned a Bachelor’s degree in Computer Science, Engineering, or a related field. You have experience integrating software systems with AI/ML services , Data APIs , or model endpoints . You have experience deploying applications on AWS , GCP , or Azure , ideally using Databricks , AWS SageMaker , or other AI platforms. You”ll Be Our Top Pick If: You thrive on building software that bridges complex AI models with real-world use. You enjoy working across frontend, backend, and cloud systems to deliver complete solutions. You’re equally comfortable discussing user experience and data pipeline optimization. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate’s particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $45,500 - $57,000 - $68,500 Annual Work Location Type: Hybrid 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. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2025, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

About JLG, an Oshkosh company JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products-including mobile elevating work platforms, telehandlers, utility vehicles and accessories-can be found all over the world. The Data Science Intern will prove support for the Engineering teams. Activities will include designing reliable, functional, and cost-effective vehicle control software; develop and test programming for vehicles and systems; support various systems through troubleshooting or reprogramming the system. This role will work on a variety of key projects and initiatives ranging from simple tasks to more complex analytical projects. YOUR IMPACT These duties are not meant to be all-inclusive, and other duties may be assigned. Write quality, maintainable, object-oriented C++ software. Develop and maintain PC programs used for the configuration of truck specific programming. Identify and control vehicle operation and maintenance risks. Prepare and maintain the software documentation necessary to support the configuration of truck specific programming. Test truck specific programming to ensure the programming operates as specified. Participate in peer reviews and other engineering activities. MINIMUM QUALIFICATIONS Undergraduate degree student majoring in Computer Science, Software Engineering, or related field. Ability to maintain confidentiality of various degrees of information. STANDOUT QUALIFICATIONS Experience with C or C++ programming or similar programming language. Experience writing embedded applications on microcontrollers. Experience working with Controller Area Network (CAN) and the J1939 protocol. Strong verbal and written communication skills. Proficiency with various web-based software applications including Microsoft Office Word, Excel, PowerPoint, SharePoint, etc. Detail oriented and quality focused. Ability to work independently while prioritizing workload. Flexible and adaptable to working under tight deadlines and/or changing needs WORKING CONDITIONS The following represents general working conditions for this office-based role. Specific conditions may vary depending on business needs and individual circumstances. This role is primarily performed in a professional office environment with standard lighting, ventilation, and temperature-controlled settings. Duties are largely sedentary, requiring extended periods of sitting and using a computer and telephone. Visual acuity to operate a computer and read documents is required, along with auditory ability to participate in virtual and in-person meetings. Occasional movement within the office environment is necessary, including walking short distances, standing, or reaching for files. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this role. WHY JLG, AN OSHKOSH COMPANY? Moving the future forward is our priority and this includes your future. We encourage professional development and champion our employees' success through various skills and training opportunities. Named one of the World's Most Ethical Companies by Ethisphere Institute for six consecutive years, everything we do at Oshkosh is guided by our core values and the ~15k+ team members around the world who embody them. We put people first. We do the right thing. We persevere. We are better together. Pay Range: $18.00 - $37.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where "AI" is considered core to the company's success. They should have experience bringing new ML models to the market as part of an online platform. They should be comfortable leading a technical team, working with product and executive stakeholders with excellent communication and stakeholder management skills - particularly when bridging technical and non-technical audiences. We have a lot of ideas on how we can improve these systems. We need help connecting these ideas to business metrics, prioritizing them with input from stakeholders into a roadmap, executing efficiently from research to bringing ML models to market, and providing proactive communication on the vision/direction and status of the work. Responsibilities: Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership Incorporate internal and external feedback to iterate and evolve ML models Practice outcome-oriented/KPI-driven team management: Define metrics that lead to business goals and report on the outcomes of your efforts Lead complex, cross-team projects to deliver on our product & ML strategy, with a singular focus on driving business results Play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry's platform Develop and implement machine learning models that improve Xometry's ability to predict cost, price, and sourcing options for our customers and suppliers. Responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry's platform Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry's platform Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations Monitor machine learning models and AI performance and troubleshoot issues as they arise Contribute to the documentation and knowledge base to help other teams understand and use Xometry's AI effectively Qualifications 8+ years experience developing and implementing machine learning algorithms, ideally within an online marketplace Excellent understanding of scalable architectures and thrive working in Agile environments Recognized expertise in the areas of marketplace optimization and pricing theory Ability to apply and implement research concepts, ultimately in production quality code Experience defining clear, testable research hypotheses, including intended impact on the business Deep knowledge of design of experiments, online experimentation approaches at scale Ability to formulate and advocate for R&D objectives and results to multi-functional team members including executive business leadership and product management Experience with your machine learning models running in a real production environment Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development and putting models into production Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse PhD in a quantitative field (or BS/MS with equivalent work experience) Mission-driven, positive attitude, and ability to motivate others Must be a US citizen, green card holder, or a legal permanent resident of the United States #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: We are searching for the best talent for Director of Visual Analytics, R&D Data Science 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 Purpose: As the Director of Visual Analytics, R&D Data Science you will own the strategic vision and execution of data visualization initiatives across Johnson & Johnson Innovative Medicine R&D Data Science & Digital Health (DSDH). You will coordinate visual analytics and design across multiple products / workstreams, guiding a team dedicated to translating complex data into accessible, insightful, and engaging visual products. Your leadership will champion a data-driven culture and elevate how insights inform decision-making at all levels of the organization. You will be responsible for: Leadership & Vision: Design and execute on a roadmap for data visualization within the R&D space, establishing a found for growth and catering to exploration of new capabilities. Team Oversight & Development: Lead, mentor, and enable members of the team, promoting best practices and technical perfection. Engagement: Partner with senior leadership, data science, and business units to understand sophisticated needs and translate them into scalable visualization solutions. Governance & Standards: Establish and maintain standards for UX/UI design and data storytelling to ensure consistency, quality, and usability. Portfolio & Project Management: Lead all aspects of prioritization and delivery of multiple projects, balancing pivotal initiatives with operational needs. Technology & Tools: Stay informed of emerging visualization technologies and the intersection of visualization and AI to continuously improve capabilities. Qualifications / Requirements: Education Bachelor's degree in BI, IT, Computer Science, or related field; advanced degree preferred. Skills & Expertise 10+ years of experience in analytics, data visualization, or related fields. 8+ years of experience with an advanced degree. Experience developing teams of visualization experts and/or data scientists. Understanding and experience in graph modeling and taxonomy. navigation (representation of relationships and ontologies). Experience in biomedical visualization (e.g. pathways). Extensive hands-on experience with Tableau, Power BI, or similar tools. Experience working in both Python and R. Good understanding of database structures and query languages including SQL, SPARQL and/or Cypher required. Experience with visualization frameworks such as Neo4j Bloom, Gephi, Cytoscape, Graphistry and D3 preferred. Demonstrated success in strategic planning, partner management, and project delivery. Superb communication, interpersonal, and change-management skills. Knowledge of UX/UI principles, experience with GenAI and experience with HTML, CSS is a plus. Industry experience in pharmaceuticals or healthcare analytics is preferred. Other: The primary location for this position is Titusville, NJ. There will be consideration for this position to be located in Springhouse, PA or Cambridge, MA. This position requires up to 25% travel. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource. #LI-Hybrid #JNJDataScience #JNJIMRND-DS 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 : The anticipated base pay range for this position is $146,000 to $251,850 USD Additional Description for Pay Transparency: Subject to the terms of their respective plans, employees and/or eligible dependents are 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. Subject to the terms of their respective plans, employees are 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. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation- 120 hours per calendar year Sick time- 40 hours per calendar year; for employees who reside in the State of Washington- 56 hours per calendar year Holiday pay, including Floating Holidays- 13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave- 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave- 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave- 10 days Volunteer Leave- 4 days Military Spouse Time-Off- 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits