Great opportunity for a Data Scientist to work collaboratively with a team of developers, and IT to build out solutions tailored to the company's strategic goals. In this role you will use data and leverage your analytical ability to find and interpret rich data sources; manage large amounts of data; merge data sources; ensure consistency of data sets; create visualizations to aid in understanding data; build mathematical models using the data; and present and communicate the data insights/findings.
Evolve skills, solutions, and the organization to predictive &amp;amp; prescriptive analytics
Ownership of the development and delivery of data science solutions from concept to production
Develop, train, and test machine learning models utilizing SageMaker or other relevant platforms
Collaborate with the SMEs to understand the current workflows and help design autonomous solutions that run on the AWS platform
Preferred Technical Skills
3 years of experience programming in Python, R, Java, etc.
Demonstrated experience with statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms
Proven track record of developing, scaling and implementing these models in customer facing environments
Demonstrated experience with machine learning fundamentals and analysis tools (e.g., SageMaker, Matlab, Mathematica, etc.)
Experience solving problems using one or more of the following techniques; Regression, Support Vector Machines, Decision trees, random forest, Boosting, PCA, KMeans
Preferred experience working with AWS RedShift
A degree (Master s or PhD preferred) in Statistics, Machine Learning, Mathematics, Computer Science, or any other related quantitative field
Minimum of 3 years of data science experience
Deep experience with regression methods, machine learning like random forest, gradient boosting, etc.
If you can work on a W2 basis without sponsorship for ANY US employer and fit the description above, please apply. Third-Party Applications Not Accepted. Candidates local to Colorado are preferred.