KYYBA Inc | Data Scientist

3 days ago

warren, United States KYYBA Inc Full time

Position: Data Scientist

Location: Warren, MI

Duration: Open Ended contract


Top 3 must-have hard skills

1 Python is a MUST

2 SQL

3 Data warehouse systems such as Data Bricks & Data visualization tools such as Tableau or PowerBI

Basic Requirements

• 4 +years of experience using data to solve problems, answer questions, and create visualizations

• 4 +years of experience in data quality analysis and data architecture

• 4 +years of professional development experience

• 4 +years of experience in Big Data technologies in Hadoop/Hive/Spark platform using Python/Scala

• Master’s degree in Statistics, Mathematics, Operations Research, Economics, Physics, Computer Science or other STEM

fields preferred but will take Bachelor’s Degree.


Job Responsibilities:

Must have 4+ years of actual experience, not looking for new graduates

-Must be Michigan local to go onsite for collaboration (rare occasion)

-Video SSV expected, will be reviewing resumes as they are submitted

*QUALITY, well formatted, and ensuring there are little to no grammatical errors

*Very SHARP technical skills

*IMMACULATE communication and presentation skills

*Auto industry preferred, not required

*R can be very helpful but python experience is required

*Math background can also be very nice to have

Cadillac Strategic Innovation and Analytics – Data Scientist

KEY RESPONSIBILITIES/ACCOUNTABILITIES

Work as an integral member within the Cadillac Strategic Innovations and Analytics team to provide key data science

component to support the development of retail strategy. Support Strategic Innovations and Analytics Manager by developing

analytical solutions to improve business results.

Pursues problem identification and impact across large vehicle populations, leveraging data mining, predictive modeling,

simulation and visualization techniques to further enhance insight and internal performance optimization

• Perform hands-on analysis, search pattern design, mining automation development and data reduction execution

• Drive the collection of new data and the refinement of existing data sources

• Develop best practices for instrumentation and experimentation and communicate those to peer teams

• Analytics that support Complex Event Processing and Real-Time Event Processing in the context of Big Data

• Acts as the subject matter expert for Data Analytics as it pertains both Predictive and Prescriptive analysis and ensure

alignment with industry best practices

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