Junior Data Scientist - 483

Position’s Contributions to Work Group :-

This position will be accountable for contributing to the concept, development, and design of complex algorithms, analytical models, or applications that use product data. This position 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 in a concise and accurate manner.

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.

Typical task breakdown

:Typical day to day activities include - Working with various other team members, executing data analytics projects and presenting the results to internal customers, developing and publishing dashboards, enhancements to Digital tools, adopting to DevOps process, building Machine Learning models for engine health condition monitoring

.The incumbent must quickly research new areas of analytics techniques and algorithmic approaches needed for meeting customer requirements, with the ability to work in agile or digital NPI processes. Along with analytics skills, the successful candidate will need to have some engine domain knowledge

.
Interaction with te am: Collaboratively working with global te

a

m-Team Structure: 7 team members in USA and 12 team members in Ind

ia
Work environm ent: Off

ice
Education & Experience Requi

red:- Years of experience:1-2 y

ears- Degree requireme nt: Minimum Bachelor’s degree, Computer Science, or Master’s degree with 6months of internship experi e

nc e - Do you accept internships as job experience:

Yes Top Sk

illsPy

tho

nSQLMachine Learning/Artificial Intellig

ence AWS Cloud Compu

ting
Additional Technical S

kills(Requ

ired)· 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 Comp

uting· Strong proficiency in statistical and analytical methods,

ML/AI
Soft

Skills(Req

uired)- Collabo

ration- Communication

skills- Problem S