• Realizar análisis de datos avanzados utilizando técnicas estadísticas. • Construir y validar modelos predictivos y prescriptivos para abordar problemas de negocio complejos. • Desarrollar scripts en Python para manipulación de datos, modelado y automatización de procesos. • Utilizar bibliotecas de Python como Pandas, NumPy, Scikit-Learn, y Matplotlib para análisis y visualización. • Implementar y optimizar modelos de Machine Learning en la plataforma Azure ML. • Gestionar pipelines de datos en la nube, y realizar ajustes de rendimiento y seguridad en los modelos desplegados. • Trabajar en conjunto con los equipos de negocio para identificar oportunidades donde los datos puedan mejorar los resultados. • Interpretar y comunicar los hallazgos de manera efectiva a stakeholders técnicos y no técnicos.

Role Description We’re looking for a Team Lead to join our Product Analytics team for the New Products direction. The New Products direction is our “internal incubator,” responsible for the company’s future revenue. We don’t just improve existing products — we launch entirely new business verticals from scratch. - Currently, we have three key focus areas: - P2P (Peer-to-Peer): Building tools for mass fundraising events and marathons (a market with $8M+ ARR potential). - Tap-to-Pay & Kiosks: Enabling offline donations via smartphones and physical terminals. - Major Donors: Leveraging AI to identify and engage high-value donors. - At the moment, the team consists of one analyst who has already started working on the P2P product. What You’ll Do: - Act as a right hand to product leads (PMs): help define success criteria for pilots and evaluate whether new products gain traction. - Build analytics from scratch: design data collection systems and ensure reliability monitoring from day one. - Evaluate the performance of new product launches. - Lead and grow the team: mentor team members, run 1:1s, and establish processes in a fast-growing function, as well as plan the roadmap and oversee execution and timelines. Qualifications - 5+ years of experience as a Product Analyst. - 2+ years of team management experience. - Strong knowledge of mathematical statistics and probability theory. - Proficiency in Python (NumPy, pandas, matplotlib, seaborn, scikit-learn). - Advanced SQL skills. - Experience with BI tools (Tableau, Power BI, Metabase). Requirements - Curiosity and a hypothesis-driven mindset. - Ability to communicate complex analytical concepts to non-technical audiences. - Detail-oriented with a strong sense of ownership. - Comfort working in fast-paced, data-rich environments. Benefits - 31 days off. - 100% paid telemedicine plan. - Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace. - English learning courses. - Relevant professional education. - Gym or swimming pool. - Co-working. - Remote working.

There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW. John Deere is an equal opportunity employer, including disabled & veterans. Primary Location: United States (US) - Illinois - Function: Data and Analytics (CA) Title: Data & Analytics Development Program II - 117431 Onsite/Remote:Onsite Position Major Purpose The Data & Analytics Development Program is a full-time position for new or recent graduates interested in working as a Data Scientist, Data Engineer or BI Analyst. This provides an accelerated development experience during the first 3 years of employment in the company, through 3 one-year-long work assignments. Employees rotate across varied functional areas such as Financial Services, IT, Precision Agriculture, Customer & Product Support, Sales & Marketing, Engineering or others. Major Duties - What will you do? - Build a network of contacts across 3 different areas of John Deere's business - Gain expertise using the latest analytics technology & tools - Learn and apply appropriate data science and data engineering techniques to solve business problems - Lead and/or support key analytics projects - Manage and work with large, diverse data sets - Collaborate with data and analytics colleagues as well as key business stakeholders Work Statement: US Visa sponsorship is not available for this position. Do you have what it takes? - Bachelor's, Master's, or PhD Degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering or related quantitative discipline - Desired cumulative GPA of 3.0 on a 4.0 scale - Experience with applied statistical analysis, modeling techniques, and data visualization methods. - Proficiency in programming languages Python, SQL, R. - Ability to demonstrate your development of algorithms and predictive models to solve a problem. - Must pass a Data & Analytics technical assessment and code pairing interview. Must be able to relocate domestically. Assignments will be onsite in the Quad Cities area (Moline, IL/ Davenport, IA), or the Des Moines area (Urbandale, IA /Johnston, IA). What You'll Get At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including: - Flexible work arrangements - Highly competitive base pay and performance bonuses - Savings & Retirement benefits (401K and Defined Contribution) - Healthcare benefits with a generous company contribution in the Health Savings Account - Adoption assistance - Employee Assistance Programs - Tuition assistance - Fitness subsidies and on-site gyms at specific Deere locations - Charitable contribution match - Employee Purchase Plan & numerous discount programs for personal use $86,892.00 - $130,332.00 + Benefits Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL Must be 18 years of age or older to apply The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines. The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control. ACA Section 1557 Nondiscrimination Notice The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.

Role Description Clearco is hiring a Senior Data Scientist to shape the models, experiments, and analytics that drive our risk, underwriting, and revenue decisions. This hands-on senior role sits at the intersection of Data Science, Machine Learning, and Product. You will partner with Engineering, Product, Risk, and Finance to turn ambiguous problems into production-grade models and measurable outcomes that responsibly scale funding for eCommerce businesses. - Design and execute data science experiments, including causal analysis, A/B tests, and offline evaluation. - Develop, evaluate, and iterate on predictive models for credit/risk scoring, revenue forecasting, and policy performance. - Own model performance and monitoring: define success metrics, investigate drift, and drive improvements to data quality and feature reliability. - Partner with Product Engineering to productionize models and analytics with emphasis on reliability, reproducibility, and maintainability. - Perform exploratory data analysis, feature engineering, and robust validation on real-world, messy data. - Communicate insights and recommendations clearly to technical and non-technical stakeholders through documentation and presentations. - Improve analytical standards, code review practices, and documentation to raise technical quality. - Mentor and support team members through pairing, feedback, and sharing best practices. Qualifications - 5+ years of professional experience in data science, applied machine learning, or a related quantitative role. - Strong foundations in statistics and experimentation, including hypothesis testing, causal reasoning, and evaluation design. - Proven experience building and shipping predictive models (classification, regression, time series) and measuring real-world impact. - Strong proficiency in Python and SQL and comfort working with production data workflows. - Experience defining success metrics, aligning with stakeholders, and delivering end-to-end outcomes. - Strong written communication skills and a pragmatic approach to fast-moving environments. - Experience owning model performance, monitoring for drift, and improving feature reliability. Requirements - Experience with credit risk, underwriting, fraud/risk signals, or financial forecasting. - Experience with modern data tooling and warehouses such as BigQuery or Snowflake and transformation frameworks like dbt. - Familiarity with MLOps patterns (model deployment, monitoring, feature stores, orchestration) and cloud environments. - Experience working with messy third-party data sources (banking data, eCommerce platforms, marketing signals).