LEAD DATA SCIENTIST

Lead Data Scientist - ADP is hiring a Lead Data Scientist Does the idea of working with one of the most comprehensive US employment data sets excite you? Are you inspired by transformation and making impact on the lives of millions of people every day? Well, this may be the role for you. Ready to design what''s next? You''ll work in a geographically distributed team developing processes and tools to analyze and proactively detect insights. You''ll code with machine learning tools like Python and AWS to synthesize millions of data sets into patterns that support and enhance the process. To thrive in this career, you need to have some formal education in quantitative analytics and technical skills to leverage existing models or create new ones. The ever-increasing scale of our data sets means uncountable challenges ahead. You will stay engaged with years of exciting projects ahead - all while growing your skills and progressing in a rewarding career. Availability to work in a hybrid work model, office located in Porto Alegre. WHAT YOU''LL DO: Here''s what you can expect on a typical day: Advanced Analytics & Predictive Modeling: You bring prior experience to the role of formulating analytical problems, extracting & analyzing data from multiple systems, summarizing critical findings, and developing a compelling visual representation of analyses with actionable recommendations this will set you up for success on Day 1. Own and Manage Projects: You will identify, design, develop, and implement advanced analytical projects. Limitless Possibilities: You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights. You are passionate about learning and applying new techniques within Data Science that lead to innovations. Collaboration and Communication: You''ll be part of a collaborative team, listening to needs, then finding and sharing solutions. You''re comfortable and skilled at presenting your projects and findings to both peers and leadership. TO SUCCEED IN THIS ROLE: Bachelor''s degree in Computer Science, Statistics, Engineering or a related field. Advanced English skills (able to interact daily with a distributed team). Good understanding of Software Development Life Cycle (SDLC). Good working experience with an IDE and version control tools (Git + Github/Gitlab/Bitbucket). Strong knowledge of data structures, algorithms and methods used in Data Science. Experience with Machine Learning model development and deployment. BONUS POINTS: Formal education and/or proven previous experience with statistical analysis. Experience with Time series analysis and forecasting. Experience with Anomaly detection. Fluency in Python and its popular Data Science packages. Exposure to (Python) Jupyter notebook and/or Databricks platform. YOU''LL LOVE WORKING HERE BECAUSE YOU CAN: Have courageous team collaboration: Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another''s ideas to find the best solution. Deliver at epic scale: We deliver real user outcomes using strong judgment and good instincts. We''re obsessed with the art of achieving simplicity with focus on client happiness and productivity. Be surrounded by curious learners: We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes. Act like an owner & doer: Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft. Give back to others: Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP''s Philanthropic Foundation. Join a company committed to equality and equity: Our goal is to impact lasting change through our actions. #J-18808-Ljbffr