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Job ID : 34858

Location : Claremont, CA

Company Name : Dart Point

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary : $680330 - $840220  per year

No. of Positions : I have ongoing need to fill this role


Required Skills : Statistics, Programming, Data manipulation,.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance


Job Description :

Qualifications:

  • Bachelors Degree in a quantitative discipline math, statistics, economics, computer science, physics, engineering, data science, etc.
  • 3-5 years of related work experience as a data scientist, predictive analyst, statistician, or quantitative analyst..
  • Excellent understanding of machine learning techniques and algorithms, such as Regression, SVM, Random Forest, Clustering, AutoML, etc.
  • Experience with common data science tools, such as NumPy, Scikit-Learn, Tensorflow, Dash/Streamlit/Gradio etc.
  • Hands-on experience in distributed computing and big data.
  • Hands-on experience in pySpark, ML production experience, Docker, Kubernetes, gRPC, REST APIs, past experience modeling machine log data for predictive maintenance a plus.
  • Experience and comfort working with on-premises systems.
  • Excellence in applying academic and scientific rigor to the business environment.
  • Demonstrated ability to autonomously problem-solve by self-educating and initiating collaboration with colleagues to leverage their knowledge for the greater good
  • Candidate must be proactive, accountable, and a good communicator.
  • Strong Collaborator – We value good listeners, skilled and proactive communicators, and professionals who are eager to share their knowledge with teammates.
  • Takes Ownership – We thrive on strong decision-making and produce work we can take pride in.
  • Master of your own craft – Everyone brings something unique to the team and owns their craft. 

Key Skills:

  • A strong foundation in mathematics.
  • Statistics, and programming.
  • Gain expertise in data manipulation, analysis, and visualization.
  • Master machine learning techniques and algorithms. Build a portfolio of projects showcasing your skills.

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