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Sr. Data Science Solutions Engineer

Company: Lucid Motors
Location: Beaverton
Posted on: May 14, 2022

Job Description:

Leading the future in luxury electric and mobilityAt Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.We plan to lead in this new era of luxury electric by returning to the fundamentals of great design - where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we're providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you.Leading the future of luxury mobilityLucid's mission is to inspire the adoption of sustainable energy by creating the most captivating luxury electric vehicles, centered around the human experience. Working at Lucid Motors means having a shared vision to power the future in revolutionary ways. Be part of a once-in-a-lifetime opportunity to transform the automotive industry.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. - -The 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 Tensor Flow, 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.At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.Notice regarding COVID-19 vaccination requirement as a condition of gainful employment within the United StatesAt Lucid, we prioritize the health and wellbeing of our employees, families, and friends above all else. In response to the novel Coronavirus, and the increased transmissibility with recent variants, all new Lucid employees, whose job will be based in the United States, must provide original documentation confirming status as having received the prescribed inoculation (doses) based on the manufacturer's guidelines on their first day of employment.Individuals seeking a medical and/or religious exemption from this requirement may be granted such an accommodation after submitting a formal request to and the subsequent review and approval thereof by our dedicated Covid-19 Response team.To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes. -

Keywords: Lucid Motors, Beaverton , Sr. Data Science Solutions Engineer, Engineering , Beaverton, Oregon

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