Data Scientist
Barcelona, esp-es, Spain
ADP is hiring a Senior Data Scientist
In this role, as a data scientist in the People Analytics & Insights team at ADP, you will work to increase data driven insights to assist our leaders in making better people decisions to add value through improved business outcomes or a better associate experience.
This role is ideal for an individual with a solid foundation in machine learning, programming, and AI, as well as a passion for transforming data into actionable insights. You will be solving complex data problems with a multi-disciplinary team of scientists, engineers and talent management experts.
WHAT YOU'LL DO:
Here's what you can expect on a typical day in the life of a Senior Data Scientist at ADP.
- Work with large datasets to collect, process, and integrate data from various sources. Conduct statistical analysis to derive actionable insights. Expertise in data processing and manipulation using Python, R, or SQL.
- Research, develop, and implement robust machine learning models to identify patterns, make predictions, and solve business problems. Test and evaluate model, tune and tweak parameters as needed to improve performance.
- Write efficient, readable code using Python or R to automate tasks and streamline workflows. Strong programming skills, proficiency in Python or R, experience in Cloud platforms AWS, Azure.
- Develop and build AI solutions using deep learning, LLMs, NLP as applicable to business needs. Familiar with AI techniques such as deep learning, LLMs, RAG, and NLP.
- Stay up-to-date with the latest advancements in AI/ML, and data science to propose new methods or tools to improve workflows, enhance model performance, and provide better solutions.
- Communicate insights from analyses to management or stakeholders to enable data driven decision making based on machine learning and statistical analysis results.
Advanced degree (OR equivalent) in Computer Science, Engineering, Math, or a related field. Ph.D. preferred. 1-3 years of experience in a machine learning /data science role.
TO SUCCEED IN THIS ROLE:
- Solid background in Machine Learning algorithms, gradient boosting, tree-based, ensemble, Bayesian, clustering; including supervised, unsupervised and reinforcement learning techniques. Deep knowledge in statistical modeling and methods. Excellent analytical skills – ability to analyze large datasets, detect and correct errors, interpret and report analysis results.
YOU'LL LOVE WORKING HERE BECAUSE YOU CAN:
- 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 net out 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 a 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 navigating 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.
#LI-FD1
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Bayesian Clustering Computer Science Deep Learning Engineering LLMs Machine Learning Mathematics ML models NLP Python R RAG Reinforcement Learning Research SQL Statistical modeling Statistics
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.