• Lead the development of predictive models, advanced analytics, and automation solutions that improve forecasting, retention, financial planning, and operational performance • Help mentor and develop other data scientists, fostering collaboration, innovation, and delivery excellence • Partner with business leaders across the enterprise to define priorities, shape data-driven strategies, and align analytics initiatives with organizational objectives • Work with enterprise data from Snowflake and other Data Lake solutions to ensure data is effectively extracted, transformed, and applied to key business initiatives • Drive the creation of impactful dashboards and visualizations in Tableau, ensuring insights are accessible and actionable for executives and functional leaders • Present findings, trends, and predictive model outcomes to senior stakeholders, translating complex analytics into clear recommendations • Champion data governance, quality, and compliance standards in analytics and reporting • Stay current with trends in AI, ML, and business analytics, identifying opportunities for innovation and automation across the organization

Role Description Within the Accounting function at BenchPrep, you'll play a pivotal role in our finance team. Your focus will be on maintaining accurate financial records, preparing reports, analyzing data, and ensuring regulatory compliance. You'll contribute to budgeting, forecasting, audits, and process improvements, supporting our financial health and strategic decision-making. The ideal candidate has a strong background in accounting, financial analysis, and reporting, along with excellent analytical skills, attention to detail, and the ability to communicate financial information effectively across the organization. Proactivity, problem-solving abilities, and a commitment to continuous improvement are also essential. - Manage accounting function including account reconciliations, journal entries, AR, AP, and Billing - Analysis and review of company expenditures, confirming proper allocation of expenses to the various departments, and reporting to these departments as necessary - Review transactions to ensure accounting treatment is in accordance with GAAP and company policies and procedures - Analyze billing transactions to ensure proper allocation of revenue recognition policies - Review general ledger accounts and making all necessary journal entries including posting monthly, quarterly, and yearly accruals - Assist in building financial statements including balance sheet, income statement, and changes in financial position, as well as budget variance analysis - Assist in the design and preparation of budgets for review by management - Prepare year-end schedules for the annual tax returns - Look for ways to improve upon accounting processes and procedures Qualifications - Bachelor’s degree in accounting; CPA preferred - 3-5 years (Staff Accountant), or 5-8 (Sr Accountant) years in accounting or auditing; public accounting experience preferred - Team player with a positive attitude towards contributing and learning - Thorough knowledge and experience in the areas of financial statement preparation, GAAP, and revenue recognition - Strong verbal/written communication skills - Excellent analytical and problem solving skills - Ability to work well independently and in a team environment - Self starter, quick learner, and ability to multitask on a regular basis - Detail-oriented with excellent organizational skills and deadline driven - Capacity to thrive in a fast-paced environment - Strong sense of ownership on issues and following through to completion - Advanced proficiency with Microsoft Excel - Experience working in accounting systems (NetSuite, Intacct, Quickbooks, etc.) strongly preferred Benefits - Medical and ancillary benefits - Potential for yearly bonus - Stipends for work-from-home expenses - Flexible paid time off (our version of unlimited PTO) - Annual professional development stipend dollars - Competitive base salary Company Description We deliver the most advanced and flexible learning experience for certification, credentialing, test prep, continuing education, and training. Our cloud-based learning platform helps training organizations, associations and the extended enterprise deliver a highly engaging and effective learning experience for individuals looking to advance their careers. We incorporate the latest in learner-centered technology, including personalization, gamification, data science, usability and omni-channel delivery. We’re sitting in a pivotal time in the BenchPrep history. The number of learners on our cloud-based learning platform has reached nearly 11 million as of 2024. We’re committed to helping people learn better, and that starts with our own people. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. At BenchPrep, we pride ourselves on offering a great total rewards package to each employee, including a competitive base salary. The salary range for this position is between $65,000-$85,000, and is set based on Chicago market data.

Role Description - Hands on data processing and analysis of project data (e.g. trial data, biomarkers, gene expression data) - Develop predictive models, identify subgroups, perform cutoff determination using basic / advanced statistical methods - Statistical programming, development of reusable programs (e.g., functions, macros), data visualization, program validation, output generation - Support non-clinical / clinical development in all phases, study planning (protocol, study design), sample size, reporting, analysis plan (e.g. SAP) - Customer consulting and direct point of contact Qualifications - Master’s degree in statistics, mathematics, data science, or equivalent education or PhD - At least three years of professional experience in data analysis and clinical research - Strong expertise in basic and advanced statistical methods, e.g. multivariate statistics, mixed models - Very good IT expertise, especially with statistical analysis tools (R required, SAS is a plus) - Quick comprehension and analytical thinking - Precise and accurate way of working - Team player with high degree of initiative - Good English skills, German is an advantage Benefits - Valued communication, flat hierarchies, open corporate culture, and a harmonious work environment - Comprehensive individual development opportunities and continuous trainings - Flexible working hours - Modern and bright office with a subsidised canteen - Opportunity to work 2 days per week from home - Full remote work from anywhere in Germany can be discussed for those who do not live in Munich - Join an interdisciplinary team allowing you to discuss with and learn from peers with many different backgrounds Company Description Staburo GmbH is a data science company, specialized in statistical consulting, programming and bioinformatics for healthcare projects. Our core competencies include: - Clinical Statistics - Translational Medicine & Biomarkers - Phase I & Pharmacokinetics/-Dynamics - Data Transparency & Disclosure Services - Health Technology Assessment - Bioinformatics Our customers are international pharmaceutical companies, CROs, biotech companies and medical device manufacturers. Our steadily growing team supports our clients efficiently from study design to data analysis and finally the disclosing and posting of trial results.

Role Description Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. You Will: - Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like. - Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale. - Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring. - Personally ship the highest-leverage models and sub-agents — the ones that need a senior IC to frame the problem, push through ambiguity, and de-risk the approach. - Drive technical decisions on the data foundations and knowledge layer sub-agents reason over, with strong stewardship of privacy, aggregation, and customer trust. - Partner with senior Product, Engineering, and Applied AI leaders to shape strategy, roadmap, and investment. - Raise the bar for the data science team — mentor staff and principal data scientists, review designs, set hiring standards, and grow the org’s modeling rigor. Qualifications - Bachelor’s degree and 12+ years of experience (or 14+ years of experience); advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar) strongly preferred. - Track record of setting technical direction for applied ML and AI work that ships and matters — major initiatives, complex systems, or new modeling paradigms taken from idea to production impact. - Deep applied ML expertise across both traditional ML and deep learning: gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL. - Architect-level grasp of agentic AI systems: tool use, retrieval, multi-step reasoning, evaluation, guardrails, and the patterns for keeping all of it reliable in production. - Strong grasp of causal inference for intervention design and lifecycle modeling: uplift modeling, difference-in-differences, propensity scoring, and synthetic control. - Solid foundation in statistics and experimental design at scale: hypothesis testing, power analysis, multiple comparisons, sequential testing, and quasi-experimental methods. - Experience operating ML in production at scale — feature engineering and pipelines, model monitoring, drift detection, retraining cadence, and the trade-offs between batch and real-time serving. - Proficient in SQL and Python; comfort with ML/LLM tooling at scale (Spark, Databricks, Snowflake, or equivalents), ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM), and visualization tools (Tableau or similar). - Experience leading lifecycle modeling work — churn, expansion, adoption, plan health, lead/account scoring — and business fluency in the SaaS metrics that drive it (NRR, GRR, ARR, and cohort economics). - A pragmatic production bar: latency, cost, monitoring, drift, hallucination, and what happens when the model or sub-agent is wrong. - Demonstrated ability to influence senior product and engineering leaders and to mentor staff and principal data scientists — your track record shows people and decisions, not just models, getting better. - Comfort operating in deep ambiguity — defining the problem, choosing the approach, and aligning the team when no playbook exists. Benefits - Your ideas are heard, your potential is supported, and your contributions have real impact. - You’ll have the freedom to explore, push boundaries, and grow beyond your role. - Diverse perspectives and nontraditional paths are welcomed. - Opportunity to do work that stretches you, excites you, and connects you to something bigger. Equal Opportunity Employer Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.