Role Description As a Program Manager in the Labeling Data Program Org, you will be the operational backbone of our machine learning initiatives. You will own and drive the complex, cross-functional programs that deliver high-quality data—the lifeblood of our models. This is a high-impact role for a technical, detail-oriented leader who thrives on turning ambiguous data needs into tangible, scalable solutions. - Drive the ML Flywheel: Lead the end-to-end lifecycle of ML data, from initial mining and curation to labeling policy definition, validation, and model evaluation. Work cross-functionally to ensure coordination and alignment on objectives and key results. - Translate Policy to Code: Lead the development of sophisticated labeling policies for complex AV domains (e.g., behavior prediction, long-tail edge cases). Convert ambiguous ML quality problems into precise, scalable annotation policies and data taxonomies. - Build Evals & Metrics: Design and implement ML evaluation frameworks. Identify key data-centric drivers of model performance and create the metrics that track ML quality at the data level. - Cross-Functional Leadership: Communicate effectively with technical and non-technical audiences at various levels of seniority, including producing analytical write-ups, dashboards, and data visualizations to convey your findings and recommendations to our team and cross-functional stakeholders. - Influence ML data selection strategies (active learning, hard-mining) to ensure we are labeling the most impactful data to maximize ROI from the labeling effort. Qualifications - 8+ years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. - Deep understanding of the ML data lifecycle: labeling, taxonomy design, quality control, and data curation. - Experience with ML Data Flywheel and working understanding of ML development life cycle (e.g., model deployment, model evaluation, data processing, debugging, fine-tuning). - Background in leading and managing complex programs that span across organizations and functions, with specific experience in Machine Learning data annotation or Human-in-the-Loop initiatives. - Strong ability to thrive in a dynamic environment, demonstrating comfort and effectiveness when dealing with ambiguity. - Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations. Requirements - Experience with scripting language, machine learning tools, techniques and systems (including prompt engineering and fine-tuning LLMs) is a strong plus. - Demonstrated ability to extract, manipulate, and apply machine learning techniques to high volumes of critical, product-related data. - Demonstrated ability in working with a variety of engineering stakeholders to gather requirements, explain models, and iterate to make improvements. - Excellent written and verbal communication and ability to describe technical implementations or analyses to a non-tech audience in an effective manner. - Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. - A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved solutions. Benefits - Waymo employees are eligible to participate in Waymo’s discretionary annual bonus program. - Equity incentive plan. - Generous Company benefits program, subject to eligibility requirements. Salary Range The expected base salary range for this full-time position across US locations is $159,000 — $202,000 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level.

• Analyze player behavior across the full funnel: registration, first deposit, retention, reactivation, churn - and translate findings into actionable product recommendations • Design, run, interpret A/B tests and quasi-experiments, handle the methodology for measuring feature impact • Build and maintain cohort-based analyses (LTV, retention curves, payback) to support product and investment decisions • Define, validate, and monitor product KPIs and metric trees, challenge metrics that don't reflect real business value • Partner with product managers to prioritize the roadmap based on expected impact, not intuition • Develop self-service dashboards (Tableau) and data sources to help stakeholders answer routine questions without analyst involvement • Investigate anomalies in key metrics and communicate root causes clearly to non-technical audiences • Maintain culture of rigorous, honest analytics: document assumptions, quantify uncertainty, and flag when data can't answer the question • Own web analytics implementation and data quality: tracking plans, event taxonomy, tag management (GTM), and validation of new tracking releases.

Role Description - We are expanding our new team for our banking clients. - You will be a business/data Analyst, part of an agile team focused on exciting transformation challenges around data. - You will work with some of the largest banks in the world, on projects that will transform the financial services industry. - You will modernize related processes and set-up, develop, and optimize state-of-the-art solutions and the corresponding data management all the way from business analysis to implementation. - Gradually you will take on more responsibility for your topics, as well as lead sub-projects and smaller project teams. Qualifications - A successfully completed university degree. - Fluent English (German is a big advantage). - Experience with working with data (data analysis, working with large datasets, data quality management, e.g. formulating rules and criteria to validate data, analyzing and resolving data quality events). - Business Analysis (as-is process and data analysis, writing requirements, data mapping). - Knowledge about the financial service industry, about banking products and about accounting is a big advantage. - You are a team player, have good analytical and conceptual skills as well as perseverance. Requirements - Screening Call – Introductory chat with our recruiter. - Technical Interviews (1-2 rounds, depending on the project) – Discuss your skills with our experienced Capco colleagues. - Feedback & Offer – Receive an offer to join our team! Benefits - Paid sick days. - 25 vacation days (regardless of age). - Monthly cafeteria allowance (1.285 CZK/month) or contribution to the 3rd pillar. - Fully paid meal vouchers. - Multisport card with employer contribution. - Smartphone with 1TB data + Laptop. - Well-being & Community Engagement – Join yoga lessons, mental health webinars, running challenges, sports activities, or participate in our volunteering days. - Competitive Compensation (adjusted based on experience) + annual bonus & benefits package. - Long-term career – Indefinite period contract with opportunities for career growth.

Role Description Collection of data as needed for decision making, strategy development, assessment of health care quality, practice management, and clinical research. - Query of clinical database for system-wide requests. - Display data, interpret results, and develop ongoing formats which meet user needs. - Provide statistical information as required by various affiliated study groups and Children's Hospitals and Clinics of Minnesota. Location: Remote - Must be MN or WI resident Qualifications - Four year degree in health-related field. - RRA or ART RHIA or RHIT credential. - Previous experience with coding, nomenclatures, case mix analysis, and database query tools preferred. - PC experience required. Requirements - Must be a resident of Minnesota or Wisconsin. Benefits - Medical, dental, and vision insurance. - Retirement benefits. - Other fringe benefits. - Positions that require night, weekend, or on-call work may be eligible for shift differentials or premium pay.