• Monitor and maintain Well & Seismic data management services for clients, ensuring regulatory compliance. • Support Subsurface and Exploration teams in maintaining data quality, workflows, and accessibility within the Subsurface and Exploration product line. • Manage client requirements for Exploration and Geological Well & Seismic data, including data receipt, conversion, transfer, quality control, and archiving. • Ensure compliance with Information and Samples Retention and Reporting obligations. • Coordinate compliance improvement efforts across client databases and develop and implement Information and Samples Plans (ISPs). • Serve as a key interface between the Geoscience community and Data Management teams. • Oversee the acquisition, storage, integration, and optimization of subsurface data. • Conduct data quality assessments, enforce standards, and ensure synchronization across projects and corporate repositories. • Deliver well & seismic data management services for E&P applications and maintain corporate databases. • Maintain and regularly update data inventories, applying agreed standards for consistency and optimization.

- Provide technical contributions in a fast-paced R&D team environment to accelerate our efforts on building new analytics. - Utilize advanced mathematical models, machine learning algorithms, operations research techniques, and strong business acumen to deliver insight, recommendations, and solutions. - Analyze data sets and develop models to predict fraud, waste, and abuse. - Document and present results to internal team members for development and inclusion in company products and analysis. - Satisfies all applicable requirements imposed by applicable Company customers, clients, or business partners, with respect to the relationship and role. - Understands and complies with all company Privacy and Security standards. - This job requires access to confidential and sensitive information, requiring ongoing discretion and secure information management.

Principal Data Scientist Location: Remote - United States Job Description: About the Principal Data Scientist at Headspace: We are looking for an innovative, strategic and impact- driven Principal Data Scientist to lead the evolution of data science across our care delivery and marketplace ecosystem. This role sits at the intersection of forecasting, experimentation, and workforce optimization strategy, enabling us to deliver high-quality, accessible mental healthcare at scale. You will be designing analytical frameworks, developing data science products, and uncovering insights that power Headspace’s mission to provide lifelong mental health support. You will play a critical role in shaping how Headspace forecasts demand and supply, optimizes marketplace performance, and measures clinical and coaching outcomes. Working closely with leaders across Product, Care, Operations, Finance, Engineering, and Marketing, you will design and deploy advanced analytical solutions that directly influence business strategy and member experience. This is a high-impact leadership role for a seasoned data scientist who combines deep technical expertise, strong business intuition, and a passion for improving mental health outcomes. What you will do: - Own and evolve end-to-end demand and supply forecasting at both macro and shift levels for care services (coaching, therapy, psychiatry), incorporating behavioral, operational, and external drivers. - Develop high-accuracy forecasting models to support new product launches and partnerships (e.g., large-scale enterprise or channel launches). - Identify and translate drivers of demand variability into actionable operational levers that improve capacity planning and resource allocation. - Build forecasting and shift optimization systems that integrate multi-modal data sources (including B2B/enterprise signals) to ensure reliable predictions and scalable recommendations. - Enable marketplace leaders with data-driven insights to optimize access, capacity, and fulfillment performance. - Partner with cross-functional leaders to define and track key marketplace metrics, including access (e.g., time-to-appointment), utilization, and network health. - Define and standardize clinical and coaching outcome metrics (e.g., PHQ, GAD, PSS) and ensure they are reliably captured and reported. - Lead the development of end-to-end measurement frameworks for care journeys, ensuring high data quality and instrumentation completeness. - Apply causal inference and statistical modeling to evaluate engagement, and long-term member outcomes. - Partner with stakeholders to translate outcome insights into product, clinical, and operational improvements. - Build and scale data products, forecasting pipelines, and decision-support tools that enable self-service insights and automation. - Collaborate with Data Engineering and BI to define robust data models, metric definitions, and reporting layers. - Translate complex models into intuitive dashboards and tools for business and operational stakeholders. - Act as a thought leader in forecasting, experimentation, and decision science, raising the bar for analytical rigor across the organization and partner on the ROI dashboards. - Drive new uses of AI in analytics and forecasting. - Mentor and develop data scientists and analysts, strengthening capabilities in communication, stakeholder influence, and technical execution. - Communicate complex findings clearly to executive and non-technical audiences, driving alignment and action as member of the Care marketplace leadership team. What you will bring: Required Skills: - 8+ years of well-rounded analytics and data science experience, ideally with exposure to Digital Health, high-growth SaaS, and/or Mental Health industries in rapid growth environments. - 6+ years of experience successfully partnering directly with executive leadership and product leaders, showcasing the ability to align analytics, data science with strategic goals. - Proven experience building and deploying forecasting models, optimization solutions and decision frameworks in complex, real-world environments. - Strong expertise in statistical modeling, causal inference, and experimentation. - 6+ years of experience owning and managing data products while driving their strategic utilization to create business impact. - 4+ years of progressive experience in healthcare analytics (preferred). - 7+ years of expertise in big data technologies (e.g., Redshift, S3, Databricks, Datalakes, Spark). - Advanced skills in SQL and Python, with Looker, Tableau, Amplitude,Statsig for event-based deep dives and advanced analytics also preferred. - Bachelor's or master's degree in computer science, statistics, mathematics, or a related quantitative field. Location: We are currently hiring this role remotely unless SF based. Candidates must permanently reside in the US full-time. For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You’ll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. Pay & Benefits: The anticipated new hire base salary range for this full-time position is $162,000-$258,750 + equity + benefits. Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate’s location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. At Headspace, base salary is but one component of our Total Rewards package. We’re proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process. About Headspace Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective, personalized, and truly accessible whenever and wherever they need it. At Headspace, our values aren’t just what we believe, they’re how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They’re our shared commitment to building a more connected, human-centered team—one that’s redefining how mental health care supports people today and for generations to come. Why You’ll Love Working Here: - A mission that matters—with impact you can see and feel - A culture that’s collaborative, inclusive, and grounded in our values - The chance to shape what mental health care looks like next - Competitive pay and benefits that support your whole self How we feel about Diversity, Equity, Inclusion and Belonging: Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

Title: Associate Data Scientist - Originations Location: Atlanta, GA preferred, Remote At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? What you’ll do: - Build, iterate, and launch models to a production environment focused on predicting outcomes in sports. - Train machine learning models and build statistical modeling frameworks using custom methods, or using xgboost, sklearn, pytorch, etc. - Manage SQL queries to ensure data pipelines are efficient, accurate, and up to date. - Rigorously backtest models to ensure highly accurate predictions. What you have: - Demonstrable history of projects that are either sports-focused or are related to building novel approaches to machine learning. - Strong technical or math/statistics background. Computer science, statistics, math, physics, economics, etc. - Strong coding skills and ability to code without being fully dependent on AI tools - Python, SQL. - Interest in sports betting, prediction markets, financial markets, or fantasy sports. - Proven ability to build sophisticated models, not just out of the box templates. - Deep passion for sports. Not just a casual fan, but someone who deeply knows the ins and outs of a few sports. What makes you stand out: - Experience with lower-level programming languages - Rust, Java, C++. - Demonstrable background/coursework building machine learning algorithms from scratch. - Success in open-source projects e.g. Big Data Bowl, Kaggle, school research labs. - Proven and verifiable background building algorithmic origination, modeling, or trading strategies. - Work experience with a professional sports team. Where you’ll live: - While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical salary range for this position is $85,000 to $115,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting. Benefits you’ll receive: In addition to your great compensation package, full-time employees will be eligible for the following perks: - Company-subsidized medical, dental, & vision plans - 401(k) plan with company match - Annual bonus - Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!) - Generous paid leave programs, including 16-week paid parental leave and disability benefits - Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked - Company-wide in-person events and team outings - Lifestyle enhancement program - Company equipment provided (Windows & Mac options) - Annual performance reviews with opportunities for growth and career development You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. PrizePicks 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.