Role Description We are looking for a highly motivated and results-driven Head of Data & AI to join our team full-time. In this strategic role, you will shape the vision, architecture, and delivery frameworks for Data Engineering, Data Science, Quant and Data Analytics, unifying these teams into a single, high-impact function. This is a key leadership position, guiding both technical and managerial directions for our data organization. We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach. Key Responsibilities - Data Engineering - Design and evolve a scalable, reliable, and maintainable data platform architecture - Oversee development of robust ETL/ELT pipelines and real-time data streaming systems - Establish engineering best practices, including code reviews, CI/CD, data contracts, and observability - Lead technology selection and resource planning across ClickHouse, Spark, and supporting infrastructure - Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes - Manage infrastructure costs and drive optimization across storage, compute, and cloud resources - Artificial Intelligence & Large Language Models - Define and develop the company's overall AI direction and roadmap, aligning initiatives with long-term business strategy - Ensure operational stability and observability of ML services - Define and drive LLM strategy, including identifying high-value use cases, evaluating model providers (OpenAI, Anthropic, open-source), and leading end-to-end implementation - Architect and oversee LLM-powered products, including RAG pipelines, AI agents, and intelligent automation workflows integrated into core business processes - Establish MLOps/LLMOps best practices, including model versioning, evaluation frameworks, prompt management, and drift/hallucination monitoring - Drive responsible AI governance, including bias detection, explainability (SHAP, LIME), fairness auditing, and compliance with emerging AI regulations - Evaluate and integrate vector databases (Pinecone, Weaviate, pgvector) and embedding strategies to power semantic search and knowledge retrieval - Champion AI-assisted development practices (e.g., GitHub Copilot, Cursor) and foster an AI-augmented engineering culture across data teams - Data Analytics & Quant - Drive advanced analytics, strategy, and Quant development - Partner with stakeholders to translate complex business challenges into data-driven solutions - Define and own key metrics, dashboards, and reporting frameworks to support executive and board-level decision-making - Lead experimentation practices to validate business impact of models and initiatives - Mentor teams, setting technical standards and career development paths Qualifications - 7+ years of hands-on experience across Data Engineering, Data Science, Quant, Data Analytics, delivering end-to-end solutions - 3+ years of managerial experience, leading data teams - Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field - Strong programming skills in Python, with experience writing clean, production-grade code - Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture) - Deep understanding of core ML algorithms: regression, gradient boosting, time series, etc. - Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) - Strong foundation in mathematical statistics, probability theory, and quantitative modeling - Proficient in SQL and experience with analytical and OLAP databases - English Upper-Intermediate Nice to Have - Background in trading or fintech - Experience analyzing and modeling time series or high-frequency data - Familiarity with anti-fraud systems, risk modeling, or portfolio analytics - Practical experience with integration of LLM with corporate systems for internal users Benefits - 20 paid vacation days per year - 10 paid sick leave days per year - Public holidays according to current legislation - Medical insurance - Opportunity to work remotely - Professional education budget - Language learning budget - Wellness budget (gym membership, sports gear and related expenses)

Title: UTS - Temporary Statistician Investigator at UNC Chapel Hill Location: Chapel Hill United States DepartmentHR UTS Partnership Career AreaResearch Professionals Position TypeTemporary Staff (SHRA) Position TitleUTS - Temporary Statistician Investigator at UNC Chapel Hill Position Number Vacancy IDS027732 Full-time/Part-timeFull-Time Temporary Hours per week Work Schedule Hybrid (Monday/Tuesday/Wednesday in office; Thursday/Friday remote) Position Location Hiring Range$46/hour Proposed Start Date07/06/2026 Estimated Duration of Appointment6 months not to exceed 11 months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit Position Summary The department at Chapel Hill is looking for a data analyst/statistician at or above the master’s degree level, to work in a collaborative team of investigators and perform statistical analyses to gain new discoveries to help trauma survivors. The primary focus of the position will be to assist with analyses of different longitudinal data collected as part of the ~$35 million dollar AURORA study. This study, funded by the National Institute of Mental Health and private and foundation partners, enrolled individuals presenting to a large network of emergency department in the immediate aftermath of trauma. Study participants were followed longitudinally for one year, beginning in the hours after trauma, using sophisticated adaptive sampling methods and state-of-the-art battery of self-report, neurocognitive, physiologic, digital phenotype, psychosocial, neuroimaging, and genomic markers. In addition to analyses of these data, the statistician will also analyze data from varied longitudinal data collected as part of many other past and current R01 studies going on in the institute, as well as the analysis of clinical trial data. Minimum Education and Experience Requirements - Master’s degree in a social science, applied science, clinical science, epidemiology, or closely related discipline required; PhD preferred. Foreign equivalent degrees will be considered. - Candidates with a Master’s degree plus extensive relevant experience in advanced quantitative analysis will also be considered in lieu of a PhD. - Demonstrated experience conducting advanced statistical analyses, with the ability to independently learn and apply new analytical methods as needed. - Experience with structural equation modeling (SEM) strongly preferred. - Proficiency in statistical programming and analysis software, including R; experience with Mplus preferred. - Demonstrated scientific writing ability, including contributing to peer-reviewed manuscripts, technical reports, or research publications. - Experience working in clinical, epidemiological, or multidisciplinary research environments preferred. - Proven ability to collaborate effectively as part of interdisciplinary teams. - Strong organizational skills with the ability to manage multiple tasks, datasets, and project timelines effectively. - Ability to analyze complex longitudinal data collected across research studies, including cleaning, structuring, and interpreting multi-timepoint datasets. - Experience with bioinformatics research, including working with biological, clinical, or molecular datasets and applying computational or statistical methods to interpret results. Management Preferences - 2–5+ years of experience in quantitative research, advanced statistical analysis, or applied data science in academic, clinical, epidemiological, or research settings preferred. - Candidates with a Master’s degree plus extensive relevant experience in advanced quantitative analysis will also be considered in lieu of a PhD. Special Physical/Mental Requirements N/A Campus Security Authority Responsibilities Special Instructions UNC-Chapel Hill and NC State University are collaborating to extend NC State’s internal temporary staffing function as a shared service for both institutions. Under this partnership, UTS provides exclusive temporary staffing services to UNC-Chapel Hill and NC State, employing candidates to work as temporary employees in a variety of jobs on both campuses. If you are interested in applying to this position please click on the following link: Temporary Employment Policies http://hr.unc.edu/policies-procedures-systems/spa-employee-policies/temporary-employment/relevant-policy-information-for-temporary-employees/ Posting Contact Information Office of Human Resources Contact Information If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at (919) 843-2300 or send an email to employment@unc.edu Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status. Equal Opportunity Employer Statement The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.

Title: Professional - Data Scientist IV Location: Home, Arkansas (Remote) Job#: 3039261 Job Description: Role Overview This organization is seeking a Lead Data Scientist to join a team of qualified, diverse professionals supporting large-scale modernization efforts. The ideal candidate will serve as a technical leader in applying advanced data science, natural language processing, and statistical methodologies to extract, classify, and validate business rules embedded within legacy claims processing systems. This role is critical in enabling transformation initiatives by ensuring the accurate translation of logic into modern, vendor-neutral rule frameworks. Key Responsibilities - Applying advanced data science and machine learning techniques to analyze, classify, and interpret business rules extracted from legacy claims processing systems. - Designing, developing, and validating NLP models for automated parsing of COBOL, ALC, and related legacy code structures. - Performing latent semantic analysis, topic modeling, and other text analytics methods on historic documentation to derive, cluster, and verify business logic. - Leading the statistical validation of extracted rules to ensure accuracy, reproducibility, and alignment with known business processes. - Supporting the development of a vendor-neutral rules repository by defining data models, ensuring data quality, and advising on scalable ingestion workflows. - Collaborating closely with software engineers, legacy system SMEs, enterprise architects, and modernization teams. - Providing technical leadership on data science best practices, model governance, reproducibility, and deployment pipelines. - Evaluating new AI/ML technologies and proposing approaches that improve throughput, accuracy, and automation. - Communicating analytical findings and model behavior to technical and non-technical stakeholders. Required Qualifications Education & Experience: - Minimum of 8 years of experience with a BS/BA degree; or 6 years with an MS/MA; or 3 years with a PhD. - Demonstrated experience leading large-scale data science, NLP, or machine learning projects in enterprise or federal environments. - Experience analyzing or modernizing legacy systems (COBOL, ALC, mainframe environments) using data-driven or automated approaches. - Knowledge of agile development methodologies and experience contributing within multidisciplinary teams. - U.S. Citizenship is required. Technical Skills: - Hands-on expertise with NLP techniques including parsing, embeddings, semantic similarity, classification, and information extraction. - Proficiency with Python and common data science/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, spaCy, Hugging Face). - A strong statistical background including hypothesis testing, model validation, and performance evaluation methods. - Proven ability to translate complex analytical findings into clear recommendations for both technical and non-technical stakeholders. Preferred Qualifications - Experience supporting modernization efforts within federal healthcare programs. - Familiarity with claims processing rules or policy structures. - Experience building or contributing to knowledge bases or rule repositories. - Expertise in modernizing legacy systems or supporting migration from mainframe codebases to cloud-native architectures. - Experience applying AI/ML to large government datasets or regulated healthcare environments. - Certifications in data science, AI/ML engineering, or cloud platforms (AWS, Azure, GCP). - Prior experience leading data science teams or mentoring junior data scientists on federal programs. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.apexsystems.com/privacy-policy Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide. Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application. UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.

Title: Senior Data Scientist Location: San Mateo United States At Fanatics Commerce, we’re more than just a leader in licensed sports merchandise – we’re a team united by a relentless passion for our fans and a commitment to innovation. We live by our BOLD Leadership principles: We Build Championship Teams, we’re Obsessed with Fans, we embrace a Limitless Entrepreneurial Spirit, and we approach every challenge with a Determined and Relentless Mindset. If you’re ready to contribute to a dynamic, fast-paced environment that thrives on collaboration and growth, we want you to be part of our team. Role Overview We are seeking a Senior Data Scientist to contribute to Marketing Data Science at Fanatics Commerce. This is a high-impact, high-visibility role focused on improving marketing effectiveness through data science and machine learning. You will work on key modeling areas such as purchase propensity, digital ad optimization, customer routing, incrementality, and personalization - helping to build and deploy models that drive measurable business outcomes. The ideal candidate has a strong track record of applying data science to marketing or customer-focused problems and delivering actionable insights. You bring solid technical expertise, good business intuition, and the ability to translate ambiguous problems into structured analyses and scalable solutions. In this role, you will partner closely with stakeholders across Marketing, Product, Engineering, CRM, and Design, contributing through hands-on modeling, thoughtful analysis, and clear communication of results. How You Will Make an Impact: - Work on data science projects across marketing and customer domains, including personalization, lifecycle optimization, retention, and engagement - Build, validate, and deploy machine learning and statistical models for use cases such as propensity modeling, segmentation, and LTV - Partner with cross-functional stakeholders (Marketing, Product, CRM, Engineering) to understand business problems and translate them into data science solutions - Contribute to the end-to-end model development lifecycle, including data exploration, feature engineering, modeling, evaluation, and deployment - Analyze large and complex datasets to identify trends, opportunities, and areas for improvement in customer experience and marketing performance - Apply appropriate statistical methods and experimentation techniques to evaluate model performance and business impact - Collaborate with engineering teams to ensure models are production-ready and integrated into downstream systems - Communicate findings and recommendations clearly to technical and non-technical stakeholders - Contribute to team-level best practices in modeling, code quality, and documentation - Support and mentor junior team members through collaboration and knowledge sharing What You Bring to the Team: - BS or higher in a technical or quantitative field (Computer Science, Operations Research, Statistics, Economics, etc.) - 5+ years of hands-on work in marketing data science or related areas - Experience building and deploying machine learning models in production environments - Strong foundation in statistics and machine learning - Proficiency in Python and SQL, with experience working on large datasets - Experience working with customer or marketing-related data (e.g., personalization, segmentation, LTV, or experimentation) - Ability to work on moderately complex problems with some guidance - Strong communication and collaboration skills BONUS POINTS: - Experience with marketing analytics or customer lifecycle use cases - Familiarity with experimentation and measurement (e.g., A/B testing, basic causal inference concepts) - Experience working with cross-functional teams across Marketing, Product, and Engineering - Experience with large-scale data processing tools (e.g., Spark) - Track record of delivering business impact through data science projects At Fanatics, we value transparency and honesty. If you don’t meet every single requirement, that’s okay – we still want to hear from you! We believe in the power of diverse experiences and talents. If you’re excited about the role and confident that you can contribute, don’t hesitate to apply. We’re genuinely interested in how your unique skills and perspective can help us build something amazing together. The salary range for this position is $170,000 - $210,000, which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. Where you’ll work and what’s required - Location: San Mateo, CA Office - Hybrid work environment flexibility, with Tuesdays, Wednesdays, and Thursdays in office; Mondays and Fridays remote. - Ability to travel up to 10% of the time for partner meetings, events, and other related activities. What’s in it For You: - Culture: Join a team where you're surrounded by top-tier talent, driven by a shared passion to relentlessly enhance the fan experience. With a focus on collaboration, support, and continuous development, you’ll be empowered to help shape a culture that celebrates both individual and team successes. - Benefits: We provide a wide range of health, financial, legal, and development assistance, including wellness programs with fitness and weight management partners, paid maternity paternity leave, and infertility treatment. Additionally, we offer flexible time off to help you recharge, along with a competitive 401k plan to support your financial future. At Fanatics, we’re dedicated to supporting you in all aspects of work and life. About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Fanatics Commerce is a leading designer, manufacturer, and seller of licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. It operates a vertically-integrated platform of digital and physical capabilities for leading sports leagues, teams, colleges, and associations globally – as well as its flagship site. Fanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Manchester United, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA). At Fanatics Commerce, we infuse our BOLD Leadership Principles in everything we do: · Build Championship Teams · Obsessed with Fans · Limitless Entrepreneurial Spirit · Determined and Relentless Mindset Job Info - Posting Date06/27/2026, 02:10 AM - Locations 1 Franklin Parkway, San Mateo, CA, 94403, US(Hybrid) - Job ScheduleFull time - Regular or TemporaryRegular