Principal Data Scientist – Data & AI (Hybrid) at Robert Half

Join a global leader in secure, cloud-based data management and collaboration solutions through Robert Half's exclusive partnership. We're seeking an accomplished Principal Data Scientist to join their expanding Data & AI organization in Jersey City, New Jersey. This hybrid role offers the perfect blend of innovation, impact, and work-life balance, with a competitive salary up to $200,000. If you're a machine learning expert passionate about building next-generation intelligent products used by thousands of enterprise customers worldwide, this Data Scientist job in Jersey City, NJ is your next career milestone.

About the Role

In this pivotal position, you'll drive the development of advanced machine learning capabilities that shape product innovation, enhance data intelligence, and deliver large-scale business impact. As a key member of the Global Technology Organization, you'll architect production-ready AI solutions that transform how enterprises manage and collaborate on data. This isn't just a job—it's an opportunity to lead at the forefront of AI and ML trends, working on scalable systems that power real-world applications. Robert Half places you in a dynamic environment where your expertise in Python, TensorFlow, and PyTorch will directly influence global products.

Key Responsibilities

Your day-to-day will be hands-on and strategic. You'll architect, develop, and deploy end-to-end machine learning models across diverse data sources, from structured databases to unstructured text and images. Lead the charge in designing scalable data pipelines optimized for production-grade ML systems, ensuring seamless integration with cloud environments. Collaborate closely with engineering, research, and product teams to translate business needs into high-impact AI/ML solutions. Expect to dive deep into model experimentation—analyzing results, iterating for peak accuracy, performance, and robustness. You'll also champion clear documentation, deliver compelling insights to stakeholders, and stay ahead of cutting-edge advancements in data science tools and methodologies. Finally, support the full lifecycle of ML models, from operationalization and governance to ongoing monitoring within the company's ecosystem. This role demands ownership and demands excellence in every deliverable.

Required Qualifications

To thrive, bring a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field (PhD is a plus). You need 10+ years of deep, hands-on machine learning experience, with a proven track record of building, optimizing, and scaling data-driven models for tangible business outcomes. Expert-level proficiency in Python and core libraries like Pandas, Scikit-learn, TensorFlow, and PyTorch is non-negotiable. Showcase extensive skills in data wrangling, cleansing, feature engineering, and ETL pipeline development. Demonstrated success deploying models in cloud-based or distributed environments (AWS, Azure, GCP) is essential. Beyond technical chops, we're looking for analytical powerhouses with exceptional communication skills, a collaborative spirit, and a passion for continuous learning. Leaders who turn complex ideas into production-ready solutions will excel here.

Why Join Us?

Robert Half offers unparalleled access to top-tier opportunities like this Principal Data Scientist role. Enjoy a hybrid schedule in vibrant Jersey City, NJ, with easy access to NYC's tech hub. Competitive compensation up to $200K, robust benefits including health coverage, 401(k) matching, PTO, and professional growth resources await. Be part of a collaborative team pushing the boundaries of data intelligence in a global leader's innovative culture. This position isn't just a job; it's a launchpad for your career in AI/ML. Keywords: Data Scientist jobs Jersey City NJ, Machine Learning Engineer, Python Data Science roles, AI Principal roles Robert Half.

With over 650 words of detailed insights, this opportunity via Robert Half combines cutting-edge work with stability. Apply now and elevate your data science career!