• Lead success measurement and goals-based analysis: - Report and synthesize data from State data sources, federal data sources, and industry sources with Google Analytics data to assess Business.NJ.gov’s trajectory and success. - Maintain and expand these databases to establish overall baselines for the success of the initiative’s goals, and build comparative analyses with the current state of the marketplace to report on and advise on the initiative’s overall direction and goals. - Design and manage ETL pipelines and data structures that connect product analytics data (GA4, GTM, etc.) with internal datasets (e.g., DynamoDB, SQL, or API-based data). • Analyze, visualize, and model data: - Analyze usage data (GA4) to extract meaningful insights and trends. - Build, maintain, and communicate dashboards in tools like BigQuery, Looker Studio, Tableau, or Domo. - Create regular reports and ad-hoc analyses to provide actionable recommendations and support decision-making for product prioritization, marketing campaigns, website optimizations, and user experience design. - Conduct exploratory data analyses to support project discovery and prioritization. - Develop user-friendly data visualizations and dashboards for stakeholders. - Use product analytics to proactively surface opportunities and pain points in user workflows. - Apply statistical and econometric analysis (e.g., regression, clustering, causal inference) to validate performance metrics and measure resident outcomes. • Implement and configure advanced web analytics and tracking: - Maintain and optimize GA4 implementation and reporting, while integrating with other data systems to enable end-to-end analytics. - Ensure accurate tracking of user interactions, events, conversions, and custom dimensions for comprehensive data collection. - Identify and resolve technical issues related to Google Analytics implementation, data accuracy, and data integration. - Conduct thorough audits to ensure data integrity and troubleshoot any anomalies or discrepancies in the analytics data. - Utilize Google Tag Manager to efficiently deploy and manage tracking tags, pixels, and scripts for various marketing and analytics tools. - Maintain and optimize tag management processes for streamlined implementation. - Implement advanced tracking techniques, such as cross-domain tracking, marketing tracking, and event tracking, to capture granular data insights. - Develop and maintain custom reports, segments, and dashboards tailored to business requirements. • Engage and collaborate with a wide variety of stakeholders: - Collaborate with cross-functional teams, including marketing, product development, engineering, IT, and data and policy, to align Google Analytics implementation with business goals and requirements. - Collaborate with product managers and engineers to design data architectures that serve product and operational analytics needs. - Provide guidance, training, and support to team members on best practices for data collection, reporting, and analysis. • Do what’s needed for the team: - Work with various teams and initiatives to execute additional duties and responsibilities to advance the Office of Innovation’s mission and work.

Data Scientist, Data Science Team College Board – Technology Division Location: This is a fully remote role. Candidates who live near CB offices have the option of being fully remote or hybrid (Tuesday and Wednesday in office). Type: This is a full-time position About the Team The Data Science team provides critical insights and tools to help the executive leadership team, technology teams, and business units optimize test delivery, test development, and test security. Our expertise is understanding a wide array of business problems and using a variety of techniques including data analysis, machine learning, and software engineering to create value from data and support decision making. We have a passion for data analysis, programming, applying new technologies, and building practical solutions. Our tight-knit, self-organized team of Data Scientists and Machine Learning Engineers collaborates closely and uses creative problem solving to tackle difficult challenges for many of the organization’s strategic initiatives. We love having virtual happy hours and celebrating our accomplishments. About the Opportunity As a Data Scientist, you are a passionate collaborator who works closely with team members and stakeholders. You relish the opportunity to bring your ideas, love of coding, data savvy, and business acumen to improve processes that are expensive or impossible to perform without machine learning. You are not shy about taking on new work you may not have done before while eagerly building machine learning models to support the new digital testing platform or eagerly providing executive leadership critical insights to make strategic decisions. In this role, you will Develop machine learning applications (40%) - Design and implement high quality software using the latest and greatest cloud and machine learning technologies - Independently manage and complete all the work needed to deliver small or medium sized applications and analyses on time and at a very high level of quality - Help identify and build major components of complex machine learning models - Judiciously evaluate the effectiveness and fairness of models and articulate considerations and concerns around implementing models in the context of the business application - Build functions, APIs, and data stores to make predictions and analyses accessible to other systems Data engineering, exploration, and analysis (40%) - Design and maintain scalable data pipelines that transform operational data into reliable, production-ready datasets - Create insights from existing data and drive the collection of new data - Communicate methodology and results of advanced analyses using accessible language and intuitive data visualizations - Create reproducible, documented analyses and models that lend themselves to automation Team Operations & Success (20%) - Help the team break down the work into manageable tasks and support our Agile maturity - Substantially improve the team’s productivity and quality by enhancing tools, processes, and code structure - Advise other teams on Machine Learning projects and assist with establishing Machine Learning governance - Assist in the identification and resolution of production issues About you, you have: - Ideally a Master’s in a quantitative discipline or computer science, OR a Bachelor’s and 3-4 years related experience, OR 5+ years related experience with a great story to tell - Programming expertise in Python and familiarity with pandas - Experience in data and statistical analysis - Proven experience in developing Machine Learning (ML) and Deep Learning (DL) solutions to solve real-world problems. - Experience with SQL and NoSQL databases. - A passion for solving difficult problems creatively. - Excellent communication and listening skills, and are able to help others understand both problems and solutions. - The ability to tell a story with your data. - Worked within a close knit team and enjoy helping your colleagues succeed - Knowledge in CI/CD, DevOps and Agile - Knowledge in developing applications on a Serverless or Microservices cloud platform (AWS/Azure/GCP, etc.) For all roles at College Board: We are seeking individuals who are passionate about expanding educational and career opportunities and committed to mission-driven work. Candidates must be authorized to work in the United States for any employer and should possess clear and concise communication skills, both written and verbal. Proficiency in Microsoft Suite tools is preferred, though a willingness to learn is equally valued. We look for those with curiosity and enthusiasm for emerging technologies, particularly AI-driven solutions, and a proactive approach to independently learning and applying new digital tools. Most importantly, applicants should demonstrate the skills and mindsets aligned with College Board’s Operating Principles, reflecting a commitment to continuous growth, collaboration, and impact, notably: - A commitment to candid, timely, respectful feedback - A learner orientation and an openness to ideas and diverse perspectives - The ability to push for excellence through data-informed decision-making, iterative learning, external benchmarking and user-inputs - Strong problem-solving skills, including the ability to break down complex issues and identify clear paths forward - A track record of prioritizing high-impact work, simplifying complexity, taking initiative, and making decisions quickly with clarity of purpose - A habit of collaborating across differences, practicing empathy, and contributing to a culture of trust and shared success About Our Process - Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days. - While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks. What We Offer At College Board, we offer more than just a paycheck—we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We’re a self-sustaining nonprofit that believes in fair and competitive compensation, grounded in your qualifications, experience, impact, and the market. A Thoughtful Approach to Compensation - The hiring range for this role is $130,000-$166,000. - Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board. - We aim to make our best offer upfront, rooted in fairness, transparency, and market data. - We adjust salaries by location to ensure fairness, no matter where you live. You’ll have open, transparent conversations about compensation, benefits, and what it’s like to work at College Board throughout your hiring process. Check out our careers page for more. #LI-TheAcorn #LI-Remote

A new space race has begun. True Anomaly seeks those with the talent and ambition to build innovative technology that solves the next generation of engineering, manufacturing, and operational challenges for space security and sustainability. OUR MISSION The peaceful use of space is essential for continued prosperity on Earth—from communications and finance to navigation and logistics. True Anomaly builds innovative technology at the intersection of spacecraft, software, and AI to enhance the capabilities of the U.S., its allies, and commercial partners. We safeguard global security by ensuring space access and sustainability for all. OUR VALUES - Be the offset. We create asymmetric advantages with creativity and ingenuity - What would it take? We challenge assumptions to deliver ambitious results - It’s the people. Our team is our competitive advantage and we are better together YOUR MISSION Autonomy isn't a feature at True Anomaly, it's our competitive advantage. In space-to-space operations, victory is measured in milliseconds. When spacecraft operate in contested, unpredictable environments beyond reliable communication range, autonomous decision-making becomes the difference between mission success and failure. Human-in-the-loop isn't fast enough. Pre-programmed responses aren't adaptive enough. As Head of Autonomy, you'll define and scale the technical vision that enables our spacecraft to act, not react. You'll build systems that make optimal decisions under uncertainty in close-proximity operations, anticipate adversary behavior, and execute maneuvers without waiting for ground commands. This role owns the autonomy roadmap end-to-end, from foundational algorithms to flight-certified systems deployed across multiple product lines. You'll lead a small, elite team and shape how we design, validate, and deploy autonomous capabilities that outpace any competitor or adversary. RESPONSIBILITIES - Own the autonomy vision and technical roadmap for all True Anomaly products, translating strategic objectives into concrete algorithmic capabilities and delivery milestones - Build autonomous decision-making systems for close-proximity space operations in contested environments where communication delays, sensor uncertainty, and adversary adaptation demand real-time intelligence - Develop game-theoretic frameworks for multi-agent space scenarios, modeling adversary behavior, optimal response strategies, and equilibrium concepts for space domain awareness and defensive operations - Integrate machine learning where it provides measurable advantages such as Multi Agent collaboration, anomaly detection, pattern recognition, and adaptive behavior, while maintaining the rigor and reliability required for safety-critical spaceflight - Recruit and mentor a world-class autonomy team, leveraging your network to bring in specialists across game theory, optimal control, and machine learning - Collaborate cross-functionally with GNC, flight software, simulation, mission ops, and hardware teams to ensure autonomous algorithms integrate seamlessly into operational spacecraft - Drive maturation of research into flight-ready capabilities, balancing innovation with the certification requirements and risk posture of operational space systems - Design and implement optimal control algorithms for spacecraft maneuvering, resource allocation, and mission planning under constraints (fuel, time, sensor coverage, risk tolerance) - Represent True Anomaly's technical vision externally, publishing research, engaging with the autonomy community, and establishing our credibility as leaders in the field QUALIFICATIONS - Deep expertise in at least one of these three pillars, with working knowledge of the others: - Game theory—Nash equilibria, multi-agent systems, adversarial reasoning, differential games, or pursuit-evasion problems - Optimal control—MPC, trajectory optimization, Hamilton-Jacobi reachability, dynamic programming, or stochastic control - Modern ML/AI—reinforcement learning, imitation learning, transformer architectures, or other learning-based approaches - PhD in Aerospace Engineering, Computer Science, Robotics, Control Theory, Applied Mathematics, or related field (exceptional MS + extensive experience considered) - 8+ years developing autonomous systems for real-world applications, with at least 3 years in technical leadership - Demonstrated ability to ship autonomous systems - Proven track record recruiting, mentoring, and leading technical teams - Strong publication record or patents demonstrating thought leadership in autonomy, control, or multi-agent systems preferred - Ability to obtain a security clearance (active clearance strongly preferred) PREFERRED SKILLS AND EXPERIENCE - Experience with space systems (orbital mechanics, GNC, spacecraft operations) - Hands-on expertise with C++ and Python for algorithm development and embedded deployment - Familiarity with probabilistic reasoning, state estimation (EKF/UKF, particle filters), and planning under uncertainty - Background in verification/validation of autonomous systems for certification or operational deployment - Network of top-tier autonomy talent - Has written papers for research that pushed the field forward or solved hard real-world problems - Can articulate why game theory is essential for space operations and how optimal control enables mission success - Knows when to use ML and when not to and can defend both decisions technically - Has hired and mentored engineers who've gone on to do exceptional work - Thrives in ambiguity COMPENSATION - Colorado Base Salary: $175,000-$360,000 - California Base Salary: $180,000-$360,000 - Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS - Work Location—ideally this role would be fully onsite at either our Centennial, CO or Long Beach, CA office but we could consider fully remote if this leader is open to travel. - Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. - Physical demands—the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Remote To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.

• Lead the design, development and deployment of advanced statistical and machine learning models to support reserving, trend analytics, and FP&A projections • Introduce novel modeling techniques and approaches to enable trend anomaly detection, leading indicator models, and predictive frameworks for claim lifecycle and utilization patterns • Maintain deep technical fluency in Data Science and Analytics technologies and best practices • Partner with Actuarial, Finance, Clinical, and Data & Analytics teams to co-create solutions that integrate seamlessly into actuarial workflows • Communicate findings and strategic insights effectively to technical audience and senior leadership across multiple domains, empowered by data visualization tools and technologies • Ensure models meet ASOP rigor and model lifecycle governance standards, including documentation, validation, back-testing, monitoring and audit readiness • Manage and mentor the Data Science Senior Advisor, fostering a culture of curiosity, innovation, and disciplined delivery