Data Scientist

This Jobot Job is hosted by: Emily OlingerAre you a fit? Easy Apply now by clicking the “Apply On Company Site” button and sending us your resume.Salary: $120,000 – $170,000 per yearA bit about us:-We are an augmented analytics company that helps our clients expand access to complex data to make their work more visual, collaborative, and actionable using AI and multidimensional visualizations.REMOTE or on-site in Pasadena, CA*This job requires a DoD Secret Clearance or eligibility to obtain one.Why join us?-Competitive base salary based on experience100% employer-paid health benefit premiums (medical, dental, vision)Unlimited Paid Time OffPaid Time Off for National HolidaysStock options at sign-on401k plan$1000 annual learning stipend (for professional development)Company equipment (Laptop computer, monitor, iPhone, etc.)Remote work from homeJob Details-This position works on DoD projects. You must be authorized to work in the US without sponsorship with the ability to obtain a security clearance.U.S. citizenship is required by the DoD for security clearance.Responsibilities:Build innovative data analytics and machine learning pipelinesBecome an expert in predictive maintenance (PMX) and/or other fields and be able to attend conferences and assess competitive products.Meet with domain experts and present to stakeholders regularly.Qualifications:Must Haves:Degree in Computer Science/EE/Applied Math/Statistics.2-3 years of professional working experience in Python data science stack: numpy, pandas, scikit-learn, tensorflow/pytorch, pyspark, dask, matplotlib, seaborn, bokeh, etc.Experience with the full Machine Learning lifecycle (inception to production).Experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.).Experience with Git (or an alternative version control tool).Authorized to work in the US without sponsorship with the ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required by the DoD for security clearance.Nice To Haves:Experience with predictive maintenance, digital signals processing, or similar.Experience with Natural Language Processing (NLP) or Computational Linguistics.Experience working with time series/temporal ML problems.Experience working with big data and big data processing frameworks (e.g. Dask, Spark)Experience with technologies like task schedulers (e.g. Celery) and web-app development stacks (e.g. Flask/Django).Professional experience building production software.Interested in hearing more? Easy Apply now by clicking the “Apply On Company Site” button. #indtier2