Title: Sr Statistician Location: United States Job Description: Category: Data & BI Analytics Req ID: 1164 We Impact Lives Through Purpose-Driven Work in A People First Culture Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers. Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America’s 2025 Greatest Workplaces as well as America’s Best Places to work for Mental Well-Being for 2025.  We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.  WHAT YOU'LL DO The HWS (Healthcare Workforce Solutions) Senior Statistician is responsible for planning, designing, and executing insights that have clear business outcomes and are based in rigorous statistical modeling and analysis of clients’ de-identified data. They will work with HWS’s customer success, marketing, sales, and product teams to understand how available and potential insights could support HWS and Ascend goals, contribute to external thought leadership, and define internal product work. They may work with clients to collect and understand a growing diversity of outcomes data. They are responsible for identifying analytical opportunities based on organization goals and client/partner requests and leading the deployment of a solution to generate and share them. This leader also plays a central role in any longitudinal data studies across Ascend that include workforce (Laudio or StaffGarden) data as outcomes. WHERE YOU’LL WORK This position will have the flexibility to work remotely within the United States. HOW YOU’LL SPEND YOUR TIME - Lead the development and deployment of all statistical work within HWS that directly supports clear business outcomes, which includes Laudio and StaffGarden, as well, potentially other data sets within Ascend - Convene and collaborate with stakeholders (within Insights and cross-functionally) to identify opportunities for statistical insights. - Build on, update, and grow a data management process for ongoing data feeds of healthcare system data related to product utilization and clients’ outcomes - Based in insight into HWS and Ascend business goals, define project milestones and provide updates on progress and roadblocks in team meetings (and occasionally broader leadership meetings) - Build on, update, and grow appropriate statistical analyses related to clients’ outcomes accounting for factors (e.g., employee, manager, and facility-level for the Laudio dataset). - Outcomes include employee turnover, employee engagement scores, quality/safety data - Use AI when possible to accelerate writing and testing of statistical models - Quickly finding meaningful signals in the models that could be used to inform and inspire Laudio's product and users about the types of actions that are making the greatest impact on outcomes. - For example, communicating which results (i) are statistically significant, (ii) are not statistically significant but are likely to be indicative of an outcome that could be communicated to users or to inform product direction, and (iii) are not indicative of a signal. - Able to quickly iterate models to attempt new approaches and to answer evolving hypotheses - Able to contribute new creative hypotheses that could be asked of the model - Summarize and communicate statistical results for general audiences for use by marketing, content, and other teams WHAT YOU'LL NEED - 8+ years of experience as a biostatistician, ideally working within a health system (other applicable roles include: healthcare data analyst, data analyst, data scientist and bioinformatician) - 3+ years of experience working with healthcare data - Strong working knowledge of R programming for both data management and analysisDemonstrated ability to extract meaningful business insights - Demonstrated ability to translate statistical outputs into practical insights that influence organization and client-facing decisionsIdeally, some experience with SQL - Self-driven and proactive while working in a remote environment; able to work independently - Minimum of 3+ years of experience with multi-level modeling - Experience working with large health system data preferred - Communicates effectively, both orally and in writing. - Strong project management skills, highly organized and able to prioritize and multi-task - Excellent interpersonal skills - Able to effectively visualize and report data findings in various formats. - PhD degree in biostatistics, public health, informatics or related field BENEFITS - Flexible and generous paid time off - Competitive medical, dental, vision and life insurance - 401(k) employer matching program - Parental leave - Wellness resources - Charitable matching program - On-site workout facilities (Leawood, Gilbert, Burlington) - Community outreach groups - Tuition reimbursement Fostering A Sense of Belonging Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.  Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.

Title: Data Scientist, Finance & Payments Job Description: Location San Francisco, CA; Los Angeles, CA; New York, NY; Seattle, WA Employment Type Full time Location Type Remote Department EngineeringData & Marketplace Integrity Compensation - $194K – $215K • Offers Equity The salary or hourly rate range may be inclusive of several levels that would be applicable to the position. Final salary or hourly rate will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary or hourly rate, not benefits or equity. Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce. Role - Partner closely across the business to find improvements/opportunities and influence decisions using data science and analytics methodologies and tools. - Act as the data partner for Finance functions, including but not limited to payments, strategic finance, profitability, accounting, and the executive office. - Build high impact data products, dashboards, notebooks, and actionable KPIs to convey critical financial insights. - Drive incremental improvements in contribution margin by deeply understanding business drivers and analyzing cross-functional initiatives. - Collaborate on data and analytics work to ensure financial tools and datasets are enriched, reliable, and scalable. We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our LA, NYC, Seattle or SF hub. You We are looking for intellectually curious, highly motivated individuals with a strong background in data tooling and visualization. The ideal candidate thrives at the intersection of finance and engineering, prioritizing speed and utility over complex statistical modeling. In addition to 6+ years of experience in the Data Analytics/Science field, you should have: - A strong background in data tooling and visualization, with a firm grasp of business intelligence tools and self-serving notebooks. Bonus points for D3, React or Web app development. - Expert-level SQL skills for data analysis, reporting, and dashboarding. - Essentially, basic payments & finance understanding should not be completely a new concept to you. - Excellent verbal communication skills, with the ability to articulate complex financial-data concepts to both technical and non-technical collaborators - Benefits - Generous Holiday and Time off Policy - Health Insurance options including Medical, Dental, Vision - Work From Home Support - Home office setup allowance - Monthly allowance for cell phone and internet - Care benefits - Monthly allowance for wellness - Annual allowance towards Childcare - Lifetime benefit for family planning, such as adoption or fertility expenses - Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally - Monthly allowance to dogfood the app - All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!). - Parental Leave - 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence. EOE Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.

Data Scientist 1 Location: Des Moines United States Salary $79,601.60 - $122,428.80 Annually Location Des Moines - 50319 - Polk County, IA Job Type Full-time Job Number 26-03360 Agency 625 Iowa Department of Revenue Division Internal Services Division Job Description: The Iowa Department of Revenue's Internal Services Division is seeking a Data Scientist 1 to join the Data Analytics Bureau. The Internal Services Division plays a crucial role in ensuring the Department's day-to-day operations run smoothly, efficiently, and effectively. Its responsibilities span many areas, from the safeguarding of confidential taxpayer data, management of the GovConnectIowa Program, integration of technology solutions with business objectives, human resources, data analytics, and business continuity activities. The dedicated staff of this division focus on elevating both the internal and external customer experience. Throughout the year, the division coordinates education and outreach initiatives, fostering connection with our customers. The Data Scientist will harness the Department's incredible wealth of data to develop analytical insights, drive positive organizational value and outcomes to encourage the adoption of data driven decisions that will lead to improvements for the overall public good and IDR's operations and performance. In this position you will be responsible for: - Working with stakeholders to identify opportunities to enhance the Department's performance by using data-driven tools to obtain, measure and analyze results. - Conducting data analysis to uncover patterns, trends, and anomalies using statistical techniques (e.g. Heat Maps, Predicator Screening, Regression models, Time Series Models, Decision Trees Analysis, and Survey & Text Analysis). - Overseeing the identification, research, and investigation of opportunities for both leveraging data and adopting/applying new technology (e.g. artificial intelligence) to drive business growth, efficiency, and innovation. - Researching and implementing techniques and tools in machine learning and artificial intelligence to make data analysis more efficient. - Managing, implementing and maintaining the Analytical and Artificial Intelligence (AI) platforms used by the Department. - Spearheading the Department's usage of the Analytical and Artificial Intelligence platforms through dashboard development and maintenance of the platforms. This includes the technical support to improve the design of the models to run more efficiently. - Developing, refining, and optimizing AI-generated text prompts that are fed into AI platforms to ensure they are accurate, engaging, and relevant for various applications. - Collaborating with different teams to improve the prompt generation process and overall AI system performance. - Determining the data needed for key performance indicators (KPIs), metrics, and dashboards, gather the data from multiple sources, manipulate in preparation for analysis and present data findings and recommendations to stakeholders. - Assisting in the building and design of statistical models (i.e. What-if, Diagnostic, financial models) to answer business questions. Preference will be given to candidates with experience in the following: - Knowledge and experience using SAS Viya, Excel, SQL, and other analytical tools to respond to data requests and to solve problems. This consists of writing relevant code or reviewing existing code to resolve programming and data issues. It involves calculating, organizing, and summarizing data for analysis. - Experience creating advanced visualizations and dashboards that clearly and easily communicate complex findings while adhering to industry best practices. This is done via the use of tools such as Tableau, Power BI, SAS Visual Analytics, JMP, etc. - Experience in the management and administration of Analytical and Artificial Intelligence platforms Job Specific Competencies: - Mathematical Reasoning - Choose the right mathematical methods or formulas to solve a problem. - Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems. - Written Expression - Communicate information and ideas in writing so others will understand. Employer Highlights: The Iowa Department of Revenue is a well-respected employer. We are focused on providing excellent customer service, while offering a wonderful team atmosphere, work-life balance, free parking, and casual attire. We offer a flexible working environment and opportunities to work from home with the ability to work from anywhere in the State of Iowa as long as it is your primary residence. We have a great total compensation package for all of our full-time employees, including: - Iowa Public Employees' Retirement System (IPERS) - Retirement Investors Club (RIC) - Flexible Working Environment- Work from Home Opportunities - Health, Dental and Vision Insurance - Vacation Leave - Sick Leave - Paid Holidays (9 days/year) - Flexible Spending Accounts - Life Insurance - Long-Term Disability Insurance The mission of the Iowa Department of Revenue is to serve Iowans through the responsible collection and generation of revenue to support the public good. If you're looking for a career with an organization that values its employees and customers, you've come to the right place. Applicants must live within the State of Iowa to qualify for this position. This position will be required to come into the Hoover Building in Des Moines for meetings as needed. Applicants must be legally authorized to work in the U.S. without the need for employer sponsorship, now or in the future. A background check, including a criminal history check, fingerprint and Iowa tax filing check, will be conducted on the final candidate. Effective July 1st, 2025, all Department of Revenue staff and their household will not be able to play any Iowa Lottery games. E-Verify and Right to Work The State of Iowa participates in E-Verify, a federal program that helps employers confirm the employment eligibility of all newly hired employees. Within the required timeframe, new hires will be verified through the E-Verify system to ensure authorization to work in the United States. The State of Iowa also complies with the federal Right to Work laws, which protect employees' rights to work without being required to join a labor organization. For more information, please visit www.e-verify.gov Applicants must meet at least one of the following minimum requirements to qualify for positions in this job classification: NOTE: Unofficial Transcripts are required to verify degree and coursework 1) Seven years of full-time work experience in business/data/statistical analytics, economic research, or data science. 2) Graduation from an accredited four-year college or university with a degree in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management, and experience equal to three years of full-time (as described in number one). NOTE: Only degrees listed are valid. NOTE: Unofficial Transcripts are required to verify degree and coursework 3) All of the following (a, b, and c): a. One year of full-time work experience in business/data/statistical analytics, economic research, or data science; and b. A total of four years of education and/or full-time experience (as described in part a), where thirty semester hours of accredited college or university coursework in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management equals one year of full-time experience; and c. A total of two years of graduate-level education and/or full-time experience (as described in part a), where twenty-four semester hours of accredited graduate college or university coursework in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management equals one year of full-time experience. NOTE: Unofficial Transcripts are required to verify degree and coursework 4) All of the following (a, b, and c): a. One year of full-time work experience business/data/statistical analytics, economic research, or data science; and b. A total of four years of education and/or full-time experience (as described in part a), where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience; and c. Graduation from an accredited college or university with a Master's degree in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management. NOTE: Unofficial Transcripts are required to verify degree and coursework 5) All of the following (a, b, and c): a. Three years of full-time work experience in business/data/statistical analytics, economic research, or data science; and b. A total of four years of education and/or full-time experience (as described in part a), where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience; and c. Possession of a professional certificate in data science, business analytics, or data analytics. NOTE: Copies of the certificate are required 6) Current, continuous experience in the state executive branch that includes six months of full-time work as a Data Analyst 2. For additional information, please click on this link to view the job description.

Role Description - Lead the architecture, development, and deployment of enterprise-scale AI/ML solutions - Build AI Agents, intelligent automation workflows, and LLM integrations - Drive MLOps, CI/CD, and ML infrastructure best practices - Design and optimize scalable AWS-based data pipelines and analytics platforms - Develop production-grade APIs and model-serving solutions - Integrate enterprise systems such as SAP and Salesforce - Mentor engineering teams and provide technical leadership Qualifications - Expert Python Programming - PyTorch, TensorFlow, Scikit-Learn - AI Agents, LLMs & MCP Server Integration - AWS Services (Glue, Lambda, Athena, S3, Step Functions, SNS, SES, IAM) - Docker, CI/CD, MLOps - REST API Design & Production ML Deployments Requirements - Candidates who can join within 30 days preferred Benefits - Salary: 40-50 LPA Company Description If interested, please send your updated resume to: rehana.j@two95intl.com and include your rate/salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts who would be a perfect match for this job, we would appreciate it if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest.