About Company
NVIDIA pioneered accelerated computing to tackle challenges no one else could solve. Our work in AI and the metaverse is transforming industries and helping to build a better future. As the world leader in visual computing, NVIDIA designs graphics processing units (GPUs) for the gaming, professional visualization, data center, and automotive markets. We are an AI computing company, pushing the boundaries of what’s possible with cutting-edge innovations in areas like deep learning, autonomous machines, and high-performance computing. Join a company where you can do your life’s work and be part of a team that is inventing the future.
Job Description
Are you an exceptionally talented and driven Data Scientist eager to shape the future of artificial intelligence and high-performance computing? NVIDIA, the pioneer of GPU-accelerated computing, is urgently seeking a passionate Data Scientist to join our innovative team in Cambridge, Ontario. In this pivotal role, you will delve into vast and complex datasets, leveraging cutting-edge machine learning and deep learning techniques to unearth critical insights and develop sophisticated predictive and prescriptive models. Your work will span across our diverse product lines, from advancing autonomous machines and robotics to optimizing enterprise data centers and revolutionizing professional visualization solutions. This is an unparalleled opportunity to contribute to projects that consistently push the boundaries of technology, working alongside world-class engineers, researchers, and product teams who are defining the next era of AI.
We are looking for an individual who thrives on complex challenges, possesses a strong analytical mindset, and is adept at translating raw data insights into actionable strategies and innovative solutions. You will be instrumental in identifying key performance indicators, optimizing our internal processes, enhancing product performance, and unlocking entirely new growth opportunities through rigorous data-driven approaches. Your contributions will directly impact NVIDIA’s strategic initiatives, influencing decision-making at every level of the organization and accelerating our mission to solve the world’s toughest problems. This position demands not only a deep technical understanding but also a creative approach to problem-solving and the ability to communicate complex findings to a variety of stakeholders. Join us in Cambridge, Ontario, and become a key player in an environment where your expertise is not just valued, but essential to our collective success and audacious vision for a smarter, more connected, and more intelligent world. You will play a crucial role in developing and deploying scalable machine learning models, conducting rigorous A/B testing, and continuously monitoring model performance to ensure robust and reliable solutions. Engage with cross-functional teams to understand business requirements, identify data opportunities, and deliver impactful data science solutions that propel NVIDIA’s leadership in the AI landscape.
Key Responsibilities
- Design, develop, and deploy robust machine learning and deep learning models to address complex business problems.
- Perform extensive data analysis, data mining, and statistical modeling to uncover insights and drive data-driven decisions.
- Collaborate with engineering, product, and research teams to define problem statements, gather requirements, and integrate data science solutions into NVIDIA products and platforms.
- Develop and maintain scalable data pipelines and feature engineering processes to support model training and inference.
- Conduct A/B testing and other experimental designs to validate hypotheses and measure the impact of implemented solutions.
- Monitor, evaluate, and fine-tune model performance in production, ensuring accuracy, reliability, and efficiency.
- Communicate complex analytical findings and recommendations clearly to technical and non-technical stakeholders.
- Stay abreast of the latest advancements in AI, machine learning, and data science, proposing and implementing innovative techniques.
Required Skills
- 5+ years of experience as a Data Scientist or in a similar role.
- Strong proficiency in Python and relevant data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
- Expertise in machine learning algorithms, deep learning architectures, and statistical modeling.
- Experience with large-scale data processing technologies (e.g., Spark, SQL, Hadoop).
- Solid understanding of experimental design, hypothesis testing, and causal inference.
- Excellent problem-solving skills and the ability to work with ambiguous data problems.
- Effective communication and presentation skills, capable of explaining complex results to diverse audiences.
Preferred Qualifications
- Master’s or Ph.D. in Computer Science, Statistics, Mathematics, Electrical Engineering, or a related quantitative field.
- Experience with GPU-accelerated computing and NVIDIA's CUDA platform.
- Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Experience in software development best practices (e.g., version control, code review).
- Publications in top-tier conferences or journals in machine learning, AI, or related fields.
Perks & Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance plans.
- Generous paid time off and holidays.
- Employee stock purchase program and retirement savings plans.
- Opportunities for continuous learning and professional development.
- Dynamic and inclusive work environment with a focus on innovation.
- Access to cutting-edge technology and tools.
How to Apply
Interested candidates are encouraged to apply directly through our careers portal. Please click on the application link below to submit your resume and cover letter, outlining your relevant experience and why you are the ideal candidate for this role. We look forward to reviewing your application!