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.