• Analyze and model data: identify opportunities to improve operational performance through analysis of industrial data. • Develop simulation, optimization and predictive models to address specific business challenges. • Build tangible solutions: run workshops with business teams to understand challenges, data, and objectives. • Collaborate with technical and business teams to deploy production-ready operational solutions. • Provide strategic advice and support: work with consultants to translate analysis results into strategic and operational recommendations.

Role Description You’ll join the Forecasting Domain within our Data & AI division as a Junior Data Scientist. Our team predicts parcel volumes and operational demand across multiple European markets - forecasts that drive planning, capacity and decisions all the way up to C-level. This is a role built for someone at the start of their career: you’ll learn directly from experienced data scientists, contribute to real forecasting models from day one, and grow along a clear path from Junior toward Senior and beyond. We care more about how you think than how many years you’ve worked. Tech stack: Python (Pandas, NumPy, Scikit-learn), SQL & data warehouses, PySpark & distributed processing, Databricks, Cloud platforms (Azure / GCP / AWS). Working under the guidance of senior team members, you will: - Run end-to-end forecasting analyses on real business problems - from data preparation and feature engineering through to modelling and turning results into clear, actionable recommendations - Build and evaluate time series and machine learning forecasting models, validating them through rigorous testing and iterative improvement - Write clean, well-structured code and take part in code reviews to keep our standards high and share knowledge - Take ownership of your tasks: estimate your work, communicate progress, and flag issues early to deliver on time - Support the full lifecycle of our forecasting products, helping maintain models in production and contributing to handovers - Keep learning - deepening your technical foundations and forecasting expertise through on-the-job work and close collaboration with the team You’ll work day-to-day with data scientists, product leads, ML engineers, data engineers and business stakeholders, so clear communication matters as much as clean code. Qualifications - Higher education in progress or completed (Bachelor’s or Master’s) in computer science, statistics, mathematics, physics, econometrics or a related field - Around a year of first commercial / internship experience in data analysis or data science - or an equally strong record of documented academic, research or competition participation - Good knowledge of Python for data workflows (Pandas, NumPy, Scikit-learn) - Practical SQL skills for querying relational databases - Solid grounding in data cleaning, wrangling and exploratory data analysis (EDA), and a good understanding of basic statistics - Familiarity with core ML methodologies (regression, classification), including evaluation metrics and cross-validation - Ability to visualize and communicate insights clearly (e.g. Matplotlib, Plotly), with focus on storytelling and clarity - English at B2 level or higher - Proficiency in the use of LLM-Agentic technology in software development: Claude Code, Cursor, OpenAI Codex, etc. Requirements - A strong track record in data science / ML competitions (Kaggle and similar), olympiads or hackathons - Documented academic or personal projects in data analysis or machine learning — a thesis, research, publications or a solid github portfolio - Exposure to time series or forecasting methods (e.g. ARIMA / classical statistical models, gradient boosting, or modern forecasting approaches) - Familiarity with PySpark or other big-data tools - A basic understanding of cloud platforms (e.g. AWS, GCP, Azure) and simple data pipelines (Airflow, dbt) - Experience building dashboards and reports (Streamlit, Dash, Power BI) - Exposure to containerisation and experiment tracking (Docker, MLflow) - Reproducible-workflow habits: notebooks, Git, clean code and clear documentation Benefits - Remote role across Poland. - Access to e-learning platforms - eTutor, GoodHabitz, Data Camp, and more. - A wide range of benefits, including the MultiSport+ card, private healthcare, and group insurance, is available on the Worksmile platform. - External and internal growth opportunities - conferences, trainings, workshops. - Chances to broaden your skill set and acquire new competencies through daily work, challenging projects, and training activities. - B2B type of contract

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.