Title: Senior Director, Data Science - NextGen Forecasting - Remote Location: Minnetonka, MN, United States Job Description: Requisition number: 2363792 Job category: Business & Data Analytics Primary location: Minnetonka, MN Overtime status: Exempt Travel: No Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. The health solutions marketplace is hungry for new ideas, innovative products and software that drives elevated performance for the business and the customer. The UnitedHealth Group family of businesses is feeding incredible solutions to that marketplace every day by bringing out the best in our software engineering teams. We serve customers across the health system. Not only do we have more of them every day, we also have more technology, greater data resources and far broader expertise than any competitor anywhere. We're out to change the way our businesses and consumers engage with technology. If you're in, you'll be challenged like never before. It's time to join this history making. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Provide enterprise level leadership for advanced forecasting, predictive, and prescriptive analytics supporting strategic, operational, and financial decision making - Lead the design, execution, and scaling of next generation forecasting capabilities leveraging complex, unstructured, and high volume datasets - Apply advanced statistical modeling, machine learning, simulation, optimization, and mathematical techniques to deliver materially earlier insight into emerging trends and risks - Translate complex and ambiguous business questions into analytically rigorous, scalable forecasting solutions delivering measurable enterprise value - Provide strategic direction and accountability for forecasting architecture, modeling strategy, prioritization, validation, and deployment across the Next Gen Forecasting program - Direct multiple layers of management and senior level data science professionals, ensuring strong technical rigor, delivery discipline, and talent development - Establish forecasting standards, governance, and validation frameworks ensuring accuracy, interpretability, scalability, and sustained stakeholder trust - Partner closely with Finance, Actuarial, Healthcare Economics, and Technology leaders to align forecasting roadmaps, manage cross functional dependencies, and embed insights into enterprise decision workflows - Design and operationalize advanced time series forecasting solutions using classical statistical methods (ARIMA/SARIMA, ETS, state space models) as well as modern machine learning and deep learning approaches - Lead development of forecasting frameworks that explicitly account for trend, seasonality, stationarity, autocorrelation, and temporal dependencies across large scale enterprise datasets - Establish enterprise forecasting standards including backtesting methodologies, rolling/expanding window validation, probabilistic forecasting, prediction interval generation, and analytical risk management practices - Drive advanced feature engineering strategies for time series forecasting, including lag features, rolling statistics, calendar effects, Fourier terms, and incorporation of exogenous variables such as events, holidays, and external business drivers - Lead implementation of multi-step forecasting strategies including recursive, direct, and hybrid approaches, leveraging sequence modeling architectures such as LSTM and Transformer-based forecasting models where appropriate - Ensure forecasting solutions appropriately address time-based validation, temporal data leakage prevention, model interpretability, scalability, and sustained stakeholder trust You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field - 15+ Years of overall experience in data science, forecasting, predictive, and prescriptive analytics at enterprise scale - Proven experience leading multi layer data science organizations or highly complex analytics programs - Deep expertise in time series forecasting, statistics, machine learning, simulation, optimization, and advanced mathematical techniques - Hands-on experience with forecasting methodologies including ARIMA/SARIMA, exponential smoothing (ETS), state space models, and machine learning based forecasting approaches - Demonstrated expertise in handling non-stationary time series data, seasonality decomposition, trend modeling, temporal feature engineering, and forecasting validation methodologies - Experience applying machine learning techniques (e.g., XGBoost, LightGBM) to forecasting problems including lag-based feature engineering, rolling window statistics, and proper handling of temporal dependencies - Solid understanding of forecasting evaluation metrics and validation approaches including MAE, RMSE, MAPE, rolling window validation, and backtesting frameworks - Demonstrated ability to drive analytically rigorous solutions that influence strategic, operational, and financial decision making - Exposure to Gen AI skill - Large Language Model, RAG Preferred Qualifications: - Master's or PhD in Data Science, Statistics, Applied Mathematics, Operations Research, or related discipline - Experience in healthcare, actuarial, or healthcare economics analytics environments - Experience leading high visibility, enterprise scale AI or advanced forecasting programs - Experience using advanced analytics platforms and tools including SQL, Python, R, Hadoop, and large scale data technologies - Experience with advanced forecasting frameworks and libraries such as Prophet, statsmodels, darts, Nixtla, scikit-learn, TensorFlow, or PyTorch - Solid background in forecasting governance, validation, and analytical risk management, and probabilistic forecasting methodologies - Familiarity with sequence-to-sequence forecasting architectures, Transformer models, and modern deep learning approaches for time series forecasting *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $159,300 to $273,200 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Senior Data Scientist Advisor Location: Pomona United States Job ID: 6836 Job Family: System Planning & Engineering Location: Pomona, CA, US Pay: $182,800 – $274,100 Job Description: Join the Clean Energy Revolution Become a Senior Data Scientist Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll be responsible for advancing AI-powered vegetation management by driving the development and refinement of AI models that interpret complex remote sensing data. In addition to remote sensing-focused initiatives, the role will also contribute specialized data science expertise to broader vegetation management projects. By solving highly technical challenges, this role directly enables a more efficient and proactive approach to managing vegetation risk and protecting critical infrastructure. As a Senior Data Scientist Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future? Responsibilities - Partners with stakeholders to understand business problems and objectives and translate them into data science solutions, providing thought leadership and creativity in solving unconventional problems. - Leads and provides direction to other analytic teams across the organization, spearheads development of highly complex predictive and prescriptive models to drive data insights. - Defines new data collection sources and methods and makes strategic recommendations for data practices (collection, preparation, quality). - Establishes standards and identifies techniques to solve data quality and integrity problems. - Leads development and maintenance of models, tools and methods for highly complex analytics problems. - Engages business OUs to solve critical issues and identify optimization opportunities, performs sophisticated analytics and translates into actionable insights. - Applies machine learning concepts and authors production-level code to provide innovative ideas and research to improve decision making. - Identifies opportunities to apply data science and predictive analytics to help solve the most critical business challenges. - Establishes scalable, automated processes for large-scale data analysis, modeling, validation and - Implementation. - Leverages relationships with data science individuals at other utilities and vendors and participate and present in relevant industry forums and groups to promote SCE's approach. - A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity. Minimum Qualifications - Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics. - Seven or more years of experience in data analytics related work. *PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit. Preferred Qualifications - Master's or Ph.D. degree in computer science, statistics, mathematics, engineering, or a closely related science and engineering field. - Five or more years hands-on experience working in data science roles, including experience with machine learning algorithms, statistical modeling, and big data platforms. - Hands-on experiences with languages like Python, R, and SQL, as well as knowledge of cloud computing environments (e.g., AWS, Azure, Google Cloud), and familiarity with data visualization tools like Tableau or Power BI. - Experience evaluating and deploying artificial intelligence solutions into business processes. - Experience with LiDAR data, processing and modeling. - Strong executive communication skills, including building concise narratives and presenting insights to senior leadership; experience communicating to both technical and non-technical audiences). Additional Information - This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days.  Unless otherwise noted, employees are required to work and reside in the state of California.  Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs. - Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more! - Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. - The primary work location for this position is Pomona, CA. However, the successful candidate may also be asked to work for an extended amount of time at (alternate work location). - Position will require up to 10% local traveling and being out in the field throughout the SCE service territory. - This position has been identified as a NERC/CIP impacted position - Prior to being hired, the successful candidate must pass a Personnel Risk Assessment (PRA) or Background Investigation. Once hired, the candidate must complete specified training prior to gaining un-escorted access to assigned work location and performing necessary job duties. - Relocation may apply to this position.

Title: Senior Data Scientist, Acquisition Marketing 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? We are looking for a technically rigorous, intellectually curious Senior Data Scientist to join our Acquisition Marketing Analytics team. In this role, you will own our most strategic measurement capabilities – including media mix modeling and always-on incrementality testing with paid partners – and use them to drive how we invest across acquisition channels. You are the right fit if you have a strong foundation in causal inference and applied statistics, thrive at the intersection of data science and marketing strategy, and know how to turn complex model outputs into decisions that matter to the business. What you’ll do: - Own end-to-end media modeling (MMM), from data preparation and model development, to validation, calibration, and stakeholder delivery - Design, launch, and maintain incrementality testing frameworks, in partnership with paid media partners, including geo-holdout and platform-native lift study designs - Translate model outputs into actionable budget allocation and channel investment recommendations - Partner with channel leads to develop and maintain a structured learning agenda across paid media - Automate recurring measurement processes to improve accuracy, scalability, and speed-to-insight - Contribute to raising the analytical bar across the team through code review, documentation, and knowledge sharing What you have: - 4+ years of experience in data science or quantitative analytics, with meaningful time spent supporting paid media or acquisition marketing - Proven ownership of MMM end-to-end - Hands-on experience designing and running incrementality tests, including experimental design, execution, and results interpretation - Experience working in app-based or DTC acquisition environments strongly preferred; sports real money gaming industry background a plus - Bachelor's degree in Business, Analytics, Statistics, Econometrics, Information Systems, Computer Science, or a related field. Advanced degree preferred - Exceptional communicator: able to explain modeling decisions and statistical tradeoffs to non-technical stakeholders - Strong business judgment: you connect analytical outputs to commercial outcomes - Collaborative: can act as a partner to Marketing, Finance, and Product teams, with experience working across functions to drive aligned decisions - Comfortable with ambiguity, and able to scope and prioritize work independently - Technical Skills - Python: proficiency in modeling, statistical analysis, and automation (pandas, numpy, statsmodels, PyMC or similar) - SQL: advanced, including complex transformations and pipeline logic - dbt: experience building and maintaining data models in a dbt environment - Open-source MMM frameworks (Robyn, Meridian): hands-on experience strongly preferred 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 $120,000 to $170,000. 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: 4/17/2026 1st Extension: 5/17/2026 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.

About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team The Growth Analytics team at Airwallex is a dynamic group of data scientists and analytics professionals. We are passionate about leveraging data to drive business growth, optimize strategies, and unlock new opportunities across the company. As key partners to Growth, Marketing, Sales, and Product, our team works collaboratively to enable data-informed decision-making, experimentation, and scalable measurement frameworks supporting Airwallex's global expansion. Learn more about the data science team in this blog What you'll do - Partner closely with Growth, Marketing, Sales, and Product teams to derive actionable data-driven insights and impact business outcomes - Analyze data to assess performance and ROI of marketing and growth initiatives - Develop dashboards and robust, scalable measurement frameworks to empower data-driven decision-making - Identify trends and improvement opportunities to sharpen growth and marketing strategies - Act as the subject matter expert for marketing KPIs and analytics best practices; consult on marketing data projects - Design and conduct experiments to measure the impact of ad spend, brand campaigns, and other initiatives - Translate open-ended or complex business challenges into high-impact, structured analytics projects - Communicate analysis results clearly to both technical and non-technical audiences, influencing strategy and decisions Who you are - At least 6 years of industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics) - 2+ years of experience in Marketing Analytics or a similar role - Proven experience presenting actionable, data-driven recommendations to executives and cross-functional teams - Strong technical proficiency with SQL, Python, and/or R; experience in dimensional data modeling and schema design is a plus - Experience with digital marketing channels such as email, paid media, and SEO highly advantageous - Excellent communication and interpersonal skills in high-growth, cross-functional environments - Experience in technology, financial services, or high-growth organizations is advantageous Preferred qualifications: - Experience mentoring or leading analytics or data science teams in fast-paced or fintech environments - Familiarity with Google Analytics, Marketo, Salesforce, and A/B testing frameworks - Ability to perform advanced statistical analysis and develop machine learning models Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know. #BI-Hybrid