Title: Staff Data Scientist Location: Remote Job Description: Location: Worldwide (Remote/Hybrid) Reports to: TBD About CINC Systems CINC Systems is the leading provider of accounting and management software for the community association management industry. Our platform supports tens of thousands of associations and millions of homes, generating rich datasets across finance, operations, and customer interactions. As CINC evolves toward more intelligent, AI-enabled products, deep analytical insight and rigorous data science are critical to identifying new opportunities, shaping product strategy, and validating where AI can deliver real value. The Staff Data Scientist plays a central role in that discovery. About the Role The Staff Data Scientist is a senior individual contributor responsible for advanced data analysis, feature exploration, model design, and research that enable the discovery of new insights and product opportunities. This role focuses on understanding data deeply, experimenting with models, and translating analytical findings into clear recommendations that inform product, engineering, and business decisions. This is not a reporting or dashboarding role. It is a research-oriented, insight-driven role for someone who thrives on ambiguity, asks sharp questions, and uses data to illuminate what should be built next and why. Key Responsibilities · Explore large, complex datasets to uncover patterns, anomalies, and opportunities · Design and evaluate statistical and machine learning models to support insight discovery and hypothesis testing · Partner with product, engineering, and business stakeholders to frame questions and translate findings into actionable insights · Conduct feature exploration and selection to inform downstream AI and analytics initiatives · Design experiments and analyses to validate assumptions and measure impact · Develop prototypes and proofs of concept that demonstrate the potential value of new models or approaches · Communicate results clearly through narratives, visualizations, and written recommendations · Stay current with advances in data science, statistics, and applied machine learning · Collaborate with Data Engineering and AI Engineering teams to transition validated ideas into production-ready work · Mentor other data scientists and analysts, raising the level of analytical rigor across the organization Qualifications Technical Expertise · 10+ years of experience in data science, applied research, or advanced analytics roles · Strong foundation in statistics, probability, and experimental design · Experience designing and evaluating machine learning models for classification, regression, clustering, or forecasting · Proficiency in Python and common data science libraries · Experience working with large datasets in SQL-based and analytical data environments · Ability to reason about data quality, bias, and limitations Research and Collaboration · Proven ability to work in ambiguous problem spaces and define meaningful analytical questions · Strong communication skills, able to explain complex findings to non-technical audiences · Experience influencing product or business strategy through data-driven insights · Comfortable collaborating across disciplines without formal authority · Structured thinker who can balance exploration with rigor Mindset and Values · Deep curiosity and a passion for discovery · Belief that insights precede automation and that not every problem needs a model · Learning-first attitude, continuously improving methods and tools · Pragmatic and outcome-oriented, focused on decisions and impact · Respects the difference between research, engineering, and operations while collaborating closely with all three What Success Looks Like · New insights lead directly to product opportunities, experiments, or strategic decisions · Models and analyses are trusted, well-reasoned, and reproducible · Stakeholders understand not just the results, but the implications and trade-offs · Promising ideas move efficiently from discovery to validation and into engineering roadmaps · The Staff Data Scientist is recognized as a thought partner and expert across the organization CINC is an Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities.

Title: Sr. Data Scientist, Trust and Safety Location: US; Remote Job Description: About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale experiences in a complicated ecosystem, ensuring they are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest's Trust and Safety mandate by designing the foundations for measuring the prevalence of unsafe content across the platform. In this role, you will design and build sampling frameworks, complex data aggregations, and measurement methodologies to track Trust & Safety policy violations across complex, multi-component user interactions. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Trust & Safety Ops, subject matter expert teams, and Product Managers. The results of your work will directly influence platform safety metrics, policy compliance, and executive-level visibility into platform health. What you'll do: - Design and develop ML-assisted sampling techniques, applying expertise in statistical methods to accurately measure the prevalence of unsafe content, treating complex multi-component interactions as distinct measurement units. - Apply rigorous statistical methods, drawing on knowledge of all kinds of sampling methods and their proper statistical application for complicated use cases, to calculate prevalence rates for specific Trust & Safety policy violations (e.g., Adult content, Self-harm, Harassment, Misinformation) and to further expand and improve the prevalence measurement. - Build large-scale data pipelines to aggregate Pinner-generated queries, system responses, and recommended Pin images into a unified format for human and ML-based safety labeling. - Partner cross-functionally to orchestrate "Offline" dashboards and robust "Online" production workflows for continuous safety monitoring. - Collaborate closely with Trust & Safety teams to translate written safety policies into unified LLM prompts, coordinate BPO labeling queues, and calibrate labeler decision quality What we're looking for: - 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data. - Strong interest and hands-on experience in platform safety, prevalence measurement, adversarial testing, responsible data measurement, or Trust & Safety. - Deep familiarity with the measurement challenges of a complex ecosystem, including statistical interpretation of data. - Experience designing and calibrating measurement frameworks, managing complex logging tables (e.g., user/interaction/component data), and defining directional success metrics. - Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with complex ML pipelines and up-sampling. - Ability to drive ambiguous measurement projects end-to-end, overcoming unstructured policy dependencies with high ownership. - Excellent written and verbal communication skills, with the ability to advocate for decision quality before releasing metrics to executive leadership. In - Office Requirement Statement - We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. - This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. Relocation Statement - This position is not eligible for relocation assistance. #LI-NM4 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $139,764—$287,749 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.

Title: Data Science Manager - Market Origination Location: Atlanta United States Job Description: 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: - Own line setting strategy and projection accuracy for our fantasy markets, balancing coverage breadth and competitive line quality. - Lead and grow a high-performing team of data scientists and analysts focused on market creation and prop origination. - Oversee development and deployment of projection models and coverage expansion across major sports and esports (NBA, NFL, MLB, CS2, etc.). - Partner cross-functionally with Product, Engineering, Pricing, and BizOps to launch new markets and expand coverage. - Guide experimentation around line accuracy, prop selection, and coverage strategy to drive engagement and grow the market catalog. - Maintain and evolve frameworks for projection accuracy, coverage quality, and market health monitoring. - Ensure data integrity and modeling quality across all origination efforts. What you have: - 5+ years of experience in sports betting, fantasy, or related gaming industries, ideally with exposure to line setting, trading, or player performance modeling. - Strong technical foundation in data science, statistics, or software engineering. - Demonstrated management experience - leading, mentoring, and scaling high-output teams. - Proficiency in SQL and Python or R; experience with predictive modeling, forecasting, and statistical techniques. - Deep understanding of how player props and sports/esports markets are structured, originated, and modeled. - Proven track record of driving complex projects from ideation through launch in a fast-paced environment. - Strong communicator who thrives at the intersection of data, product, and operations. 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 $160,000 to $190,000. 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. Date Posted: 05/11/26 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. Create a Job Alert Interested in building your career at PrizePicks? Get future opportunities sent straight to your email. Create alert

• Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management, and provide frictionless customer experience for various products and services Oportun provides. • Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules. • Build model deployment platform which can shorten the time of implementing new models. • Build end-to-end reusable pipelines from data acquisition to model output delivery. • Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management. • Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to facilitate the Model Governance Activities such as Model Validations and Monitoring.