Principal Data Scientist

Job Description

Are you ready to make waves in the world of data science and AI? We're on the hunt for a Data Scientist to join our dynamic global R&D organization. We're looking for someone who brings the heat, fosters seamless collaboration, and is always chasing that next level of excellence.

You'll be at the forefront of infusing cutting-edge AI into IFS Cloud, revolutionizing Enterprise Resource Planning, Asset Management, and Field Service Management. Get ready to tackle high-stakes challenges like IIoT, predictive maintenance, forecasting, anomaly detection, optimization, and unleashing generative AI. Your data science wizardry will power our solutions, crafting efficient ML pipelines, expanding our algorithmic pool, and pushing the envelope of innovation across our product lineup.

Your sharp critical thinking and knack for real-world business dilemmas will be instrumental in orchestrating end-to-end solutions. From spotting opportunities on the horizon to delivering high-performance, scalable solutions, you'll play a pivotal role in our success.

If you're a maestro of mapping business processes and deciphering complex data, if AI and machine learning are your jam, and if you take pride in building top-tier ML pipelines for production environments, we want to hear from you.

How Will You Shape the Future?

This role is all about hands-on technical prowess, and we expect you to bring your A-game. You'll be in the driver's seat, working with autonomy, accountability, and technical brilliance. Your mission includes:

Spotting high-value AI/ML prospects within our IFS offerings. Serving as our AI/ML whisperer, guiding us towards the latest and greatest tech trends. You'll be the guru behind our estimates and implementation strategies, shaping our roadmap. Crafting and integrating data science projects from the ground up. From framing problems and experimenting with proofs of concept to the grand finale of implementation, you'll ensure scalability and top-tier performance. Locking arms with Data Engineers, Data Scientists, Software Engineers, Solution Architects, and Product/Program Managers. Together, you'll define, create, deploy, monitor, and document ML models that are both tailored and industry leading. Becoming our AI/ML evangelist. Get ready to shine on the conference stage, host webinars, and pen compelling white papers and blogs. Share your discoveries with clients and internal stakeholders, offering actionable insights that drive change.

Qualifications

To succeed in this role, you'll need:

A solid 7+ years of data science expertise, backed by a proven track record of successful projects that have saved the day. Mastery in bringing AI/ML solutions to life from start to finish, including scoping, design, development, testing, deployment, and vigilant monitoring. Experience creating and delivering Cloud ML solutions at scale using Docker and Kubernetes. A deep understanding of advanced statistical modeling and analysis. Expertise in Python and the tools and libraries that make ML magic happen. Familiarity with ML experiment tracking and collaboration tools, such as Mlflow and Weights & Biases. A solid background in software engineering and DevOps practices, MLOps deployment, and infrastructure. A knack for generative AI frameworks and SDKs, like RAG, Langchain/LangGraph, Semantic Kernel, and tools such as MS tooling, Co-Pilot Studio, ML Studio, Prompt flow, Kedro, etc. Proficiency with pipeline orchestration tools, such as Airflow, Kubeflow, and Argo. Outstanding communication skills, combining subject matter expertise with a flair for statistics. A results-driven attitude, a passion for innovation, and a self-starting, proactive nature. You're organized, capable of juggling multiple tasks, and your creativity knows no bounds. You're a strategic thinker, always on the hunt for the next big thing.

Ready to make your mark? Join us on this exhilarating journey, where you'll be a vital part of our AI revolution. Let's transform the future together!