Data Scientist

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.