Data Scientist

Medinext Global LLC

Mossville, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Shift work

Languages

English

Experience level

Junior

Compensation

$ 58K

Mossville, United States of America

Artificial Intelligence

Cloud Computing

Databases

Computer Engineering

Data Mining

Data Visualization

Python

Matlab

Machine Learning

Power BI

SQL Databases

Tableau

Feature Extraction

Programming Languages

The Data Scientist will be accountable for contributing to the concept, development, and design of complex algorithms, analytical models, or applications that use product data
The Data Scientist performs complex analysis work, identifies design problems, and resolves problems
Incumbents may work more directly with different units, suppliers, customers, and/or other teams
This requires the ability to communicate technical information concisely and accurately
This position is responsible for identifying opportunities to solve problems in his or her functional area through the use of analytical models; helping analysts on a team to design, development, and testing of predictive and prescriptive analytic algorithms/tools using telematics data to enhance product performance and efficiency within engine development, and to provide customers' value-added services, recommendations, and optimized solutions for their engines, equipment, and/or job sites
Specific tasks will include the development of data mining processes and tools for engine data collection, aggregation, feature extraction, analytics modeling, and reliability/durability forecasting to support engineering design, simulation, CPI, and NPI

Bachelor''s degree in Mechanical, Electrical, or Computer Engineering plus 1-2 years of experience
No Associate''s degrees Preferred Education:
Master''s degree in Mechanical, Electrical, or Computer Engineering with 6 months of intership experience Qualifications:
Experience with programming languages such as Python, Matlab, or SQL, data visualization tools such as Tableau, or Power BI, and working with various Databases & Cloud Computing
Machine Learning/Artificial Intelligence
Strong proficiency in statistical and analytical methods, ML/AI
Collaboration skills
Communication Skills
Problem-solving skills