591 Machine Learning Applied Scientist jobs in Denver,CO

High school diploma/GED
Must be authorized to work in the U.S.
Willing to work EVERY shift
Ability and willingness to work overtime on short notice, both during the week and weekends
Ability to work in manufacturing environment, with varying temperatures

Music & Arts

Littleton, CO 80161

Bachelor's Degree in Music Education, Music Performance, or equivalent experience.
2 years of music teaching experience.

California Pizza Kitchen

Littleton, CO 80123

Minimum of two years FOH management experience in a high volume, faced paced restaurant.
Strong communication skills – verbal and written.
Exceptional leadership skills – ability to motivate, inspire and develop a team.
Passionate about execution, hospitality and service.
The employee has the ability to sit, stand and/or walk for up to 10 hours a day.
The employee is occasionally required to stoop, bend or kneel, lift up to 40 lbs.
The vision requirements include: close vision, distance vision, peripheral vision, depth perception and ability to adjust focus.

Xcel Energy

Denver, CO 80219

Post graduate degree required in computer science, data science, math, statistics, or a related analytical field.
A minimum of 7 years of professional data science experience.
Proficient in various data modeling techniques and can demonstrate successful implementations in past projects.

Amazon Stores

Aurora, CO 80011

Spectrum

Littleton, CO 80121

Bachelor's degree or equivalent experience
8+ years of ETL experience
6+ years of experience with SQL, Shell Script, Python, JSON
5+ years of data integration experience
5+ years of experience with data visualization tools such as Tableau, Alterx, Microstrategy
5+ years of software engineering experience
Ability to read, write, speak, and understand English
Extensive experience building use cases and supporting data scientists and engineers
Extensive experience with data lake - all data sources - building out data sets for uses cases
Expertise in building SQL/HIVE databases and tables
Proficient in querying and designing efficient warehousing structures
Deep knowledge of data access methods from relational databases using SQL
Hands-on experience with web services (WSDL Soap, Restful) for accessing data from multiple source systems
Strong understanding of FTP and sFTP protocols
Advanced skills in designing and architecting complex ETL processing and warehousing solutions
Mentoring junior developers, vendors, consultants, and external partners to swiftly identify and resolve integration issues
Diagnose complex data engineering challenges and implement optimal resolutions to deliver quality results