Data Scientist - Cloud Data (New Grad)
Newark, California, United States
Full Time Entry-level / Junior USD 169K+
Lucid Motors
With extraordinary design, performance, range, convenience, and utility, Lucid Gravity is the future of sustainable mobility, reimagining the luxury electric SUV.Our Cloud Data Engineering team is seeking a highly motivated and technically proficient new grad to join as a Data Scientist. In this role, you will work closely with our engineering and data science teams to develop and deploy data-driven solutions that optimize vehicle performance, enhance user experience, and drive innovation in electric vehicle technology. Our team operates in an open environment with emphasis on collaboration and cutting-edge technologies. This provides a great chance for new grads to learn and deliver products for Lucid's growth.
Responsibilities:
- Collaborate with cross-functional teams to define data requirements and identify opportunities for leveraging data to solve complex engineering challenges.
- Design, develop, and implement data pipelines and analytical solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Perform exploratory data analysis to extract insights from large datasets and identify patterns, trends, and anomalies.
- Develop predictive models and algorithms to optimize vehicle performance, energy efficiency, and autonomous driving capabilities.
- Build and maintain scalable machine learning models for real-time data processing and decision-making in automotive systems.
- Work closely with software engineers to integrate machine learning algorithms into production systems and ensure reliability, scalability, and performance.
- Continuously evaluate and improve the performance of machine learning models through experimentation and iteration.
- Stay up to date with the latest advancements in cloud technologies, data science, and machine learning techniques
Qualifications:
- BS or MS degree in Computer Science, Data Science, Electrical Engineering, or related field. March & May/June 2024 graduates will be given advanced consideration.
- Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
- Proficiency in programming languages such as Python, R, or Scala, with experience in developing and deploying machine learning models.
- Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform, and experience with cloud-based data services (e.g., S3, Redshift, BigQuery).
- Knowledge of distributed computing frameworks such as Apache Spark or Hadoop is a plus.
- Excellent problem-solving skills and the ability to work independently as well as collaboratively in a fast-paced environment.
- Strong communication skills with the ability to present technical concepts to both technical and non-technical stakeholders.
Tags: Autonomous Driving AWS Azure BigQuery Computer Science Data analysis Data pipelines EDA Engineering GCP Google Cloud Hadoop Machine Learning ML models Pipelines Privacy Python R Redshift Scala Spark Statistical modeling Statistics
Perks/benefits: 401(k) matching Career development Competitive pay Equity Health care Insurance
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