Sr. Data Science Solutions Engineer
Newark, CA
Applications have closed
Lucid Motors
With extraordinary design, performance, range, convenience, and utility, Lucid Gravity is the future of sustainable mobility, reimagining the luxury electric SUV.The Data Science and Machine Learning team at Lucid is on the mission to design, develop, and deploy AI solutions to help make safe and sustainable products and services on par with Lucid’s Luxury brand. The Data Science Solutions Engineer at Lucid is setting data science pipeline for our fast growing data team. Data generated by electric vehicles is a rich and diverse and driving insight from them is a very exciting and challenging task. This opportunity involves architecting the data pipeline to discover trends, patterns and hidden insights from these data while collaborating with the most brilliant talents in the automotive industry.
Role
- Design and build data architecture for data science projects using big data technologies.
- Design and build data infrastructure for machine learning model serving on real-time streaming data as well as batch data processing.
- Help define analytical direction and influence direction of the associated engineering and infrastructure work.
- Implement and deploy Data Science models in production.
- Design metrics, reports, dashboards and BI solutions for data quality, and various data science applications
- Help derive predictive analytics from billions of time series data points.
- Partner with internal stakeholders on projects to identify and articulate opportunities, see beyond data to identify solutions that will raise the bar for decision making.
- Use quantitative analysis, machine learning and data science tools to see beyond the numbers and understand what can improve our processes.
Qualifications
- Bachelors, Masters or PhD in Engineering, Computer Science, or related field.
- 4+ years of Data Science or Data Engineering experience working on highly complex problems in a dynamic setting
- Strong programming skills, especially in Python, Scala or Java, or C/C++ with 3+ years of relevant experience in a programming intensive role.
- Technical knowledge of Statistics, and Machine Learning.
- Advanced expertise in SQL.
- Relevant work experience, including experience applying advanced analytics, and data mining techniques.
- Hands-on Experience in Big Data tools, i.e. Hadoop, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes.
- Experience with data presentation and visualization with tools such as Tableau, Grafana or other similar tools.
- Excellent communication and presentation skills.
Nice to Haves
- Experience with data science packages such as skit-learn, SciPy etc., and Machine Learning frameworks such as TensorFlow, Keras and Torch.
- Experience with REST API design, deploying and monitoring models in production.
- Experience with telematics data engineering and/or analytics is a plus.
- Relevant experience in Automotive, Transportation is a huge plus.
Tags: Airflow APIs Big Data C++ Computer Science Data Mining Docker Engineering Grafana Hadoop Kafka Keras Kubernetes Machine Learning PhD Python REST API Scala SciPy Spark SQL Statistics Streaming Tableau TensorFlow
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