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Data Scientist I
  • Spark
  • SQL
  • Amazon Web Services
  • Machine Learning
  • Big Data
  • Excel
  • Data Mining
  • Modeling
  • Hadoop
  • NoSQL
  • Deep Learning
  • Azure
  • Jupyter Notebook
Jet Propulsion Laboratory
La Cañada Flintridge, CA 91011
156 days ago
Job Details
Job ID: 12202

New ideas are all around us, but only a few will change the world. That’s our focus at JPL. We ask the biggest questions, then search the universe for answers—literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission—your opportunity—is to seek out the answers that bring us one step closer. If you’re driven to discover, create, and inspire something that lasts a lifetime and beyond, you’re ready for JPL.

Located in Pasadena, California, JPL has a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.


We have an exciting opportunity for a Data Scientist I to join our team.The Data Scientist will be a member of the Division 174 AI, Analytics and Innovative Development, working with all of JPL. Will be detail-oriented Big Data Scientist who loves discovering trends where none were visible before. The successful candidate will be a self-starter who possesses a strong desire and experience developing, implementing, and maintaining a program of predictive analytics. The Data Scientist will be responsible for designing and implementing a program for analyzing complex, large-scale data sets used for modeling, data mining, research, and predictive analysis purposes. This will include creativity, tenacity, curiosity, and deep technical skills. The Data Scientist will use skills in data gathering and data “munging”, visualization, machine learning, and computer programming to make data driven decisions and data driven products, and will give exciting presentations where the data paints a compelling future. The Data Scientist will work with several JPL missions and institutional projects to enable them to fully benefit from cloud computing, analytics, cyber security, and more.

This Data Scientist will have the opportunity to contribute in the following ways:

Conceptualize and develop innovative applications for cross cutting areas of the laboratory including artificial intelligence, analytics, enterprise applications, multi-mission systems, mission assurance, and cloud computing.
Become a member of a team of data scientists and innovation experts that make up JPL’s Division 174 for AI, Analytics, and Innovative Development.


Required Skills:
Typically requires a Bachelor’s degree in Engineering, Science, Computer Science, Information Systems or related discipline with 1 year of related experience; Masters degree in similar disciplines with a minimum of 0 years of related experience
Knowledge in one or more related fields including: Big Data, cloud computing, statistics, analytics, machine learning, deep learning, programming, data bases (SQL and NoSQL), data integration, Internet of Things (IoT) and communications.

Desired Skills:
General understanding and wide application of advanced principles, theories, concepts, tools, and techniques in integrating, analyzing, and reporting on large and diverse data sets; data mining; analytics, and statistics.
Knowledge of applicable industry and/or academic practices and standards in Big Data and Cloud Computing.
Practical ability to visualize data, communicate the data in a manner that the audience can understand, and utilize it effectively. Ability to blend math, algorithms, programming, and an understanding of human behavior with the ability to combine information systems to find answers to interesting questions from the data.
The ability to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data and what secrets it holds.
Proficiency in Cloud Computing such as such as Amazon Web Services, Microsoft Azure, Google App Engine, and/or Rackspace.
Proficiency in Big Data tools such as Hadoop/Spark, Jupyter Notebooks, and related tools, Elasticsearch, Splunk, etc is strongly desired
Strong mathematics and statistics skills.
Knowledge and experience with Deep Learning frameworks (Tensorflow, etc.)
Knowledge and experience in a major frontend framework: Bootstrap, Node, D3.js, Flask, React, Vue, etc.
Knowledge and experience with developing Internet of Things and sensor network applications (IoT)
Coursework or practical experience with data mining, building algorithms, SQL, and NoSQL
Ability to think creatively and to work well both as part of a team and as an individual contributor

Work Authorization
Ability to Obtain Work Authorization

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