Used Tools & Technologies
Not specified
Required Skills & Competences ?
Statistics @ 4 Algorithms @ 4 Machine Learning @ 4 Data Science @ 8 Leadership @ 8 Project Management @ 8Details
NVIDIA is seeking a highly skilled and motivated individual to join our dynamic team as a Data Scientist. As a pivotal member of our organization, you will play a key role in harnessing the power of data to drive insightful decision-making and optimize our operations. This position offers a unique opportunity to work with pioneering technologies and contribute to the innovation that defines NVIDIA. The ideal candidate will possess a wealth of experience in understanding complex business problems, crafting innovative solutions, and effectively managing end-to-end projects.
Responsibilities
- Analyze complex datasets, automate processes, and derive actionable insights that contribute to strategic goals.
- Define and implement data-driven solutions, provide valuable recommendations, and contribute to continuous improvement of processes and infrastructure.
- Apply statistical techniques and machine learning algorithms to analyze large datasets and extract meaningful patterns, trends, and insights.
- Design and implement automated processes for data collection, cleaning, and analysis ensuring efficiency and accuracy.
- Collaborate with multi-functional teams to understand business challenges and provide data-driven insights to propose strategic decision-making.
- Map data-driven solutions to business problems, working closely with partners to align analytics initiatives with organizational goals.
- Effectively communicate complex findings to technical and non-technical customers, fostering a data-driven culture.
- Create visually compelling data visualizations and reports to communicate insights.
- Craft engaging narratives around data findings and present results to partners and executives.
Requirements
- 12+ years of demonstrable experience in data science roles, with a focus on team leadership and project management.
- Demonstrated success in implementing machine learning solutions to solve complex business problems.
- Lead all aspects of the entire lifecycle of data science projects, from conceptualization to implementation.
- Experience working with Fortune 500 companies across diverse industries.
- Master’s or Ph.D. in a relevant field (Data Science, Statistics, Computer Science) or equivalent experience.
Ways to Stand Out
- Expertise in Machine Learning techniques such as Random Forests, Stochastic Gradient Boosting, Ensemble Learning, Gradient Descent, Artificial Neural Networks, SVM, Naïve Bayes, Recommender Systems, Anomaly Detection, and Deep Learning.
- Develop innovative and effective solutions using advanced statistical techniques and machine learning algorithms.
- Lead and mentor a team of data scientists providing guidance and fostering collaboration.
Benefits
- Highly competitive salaries.
- Equity and comprehensive benefits package.
- Work with some of the most experienced and dedicated people in the world in a fast-growing engineering team.
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer.