Employer Active
- USA
Not Disclosed
Salary Not Disclosed
1 Vacancy
Emp Type: W2 or 1099........ (No C2C)
Visa: H1B H4EAD GCEAD L2 Green Card US Citizens (Only USA Applicants)
Workplace Type: Hybrid / Peoria / Chicago IL
Experience: 7
Positions Contributions to Work Group:
Data Scientist role to develop and deliver analytics models for equipment condition monitoring for the enterprise and for aftermarket solutions for customers and dealers.
Condition monitoring models include failure prediction remaining life estimation service interval extension and component risk models.
Methods include machine learning deep learning statistical and rulebased models and other data analytics techniques to generate actionable insights from timeseries machine sensor data other telematics data fluids analysis and machine inspection and service records.
Typical task breakdown:
Collect and negotiate requirements for condition monitoring models.
Access analyze cleanse preprocess data; cultivate ground truth data sets as needed.
Explore and down select modeling approaches.
Develop back test and validate models in python in both onprem and AWS environments.
Compute model performance metrics.
Participate in daily standups and sprint reveals in Scrum/Agile
environment.
Explain and defend modeling decisions and performance results.
Support model in production resolve incident tickets.
Education & Experience Required:
Bachelors Degree (Data Science Analytics Computer Science Engineering or related field) 57 years experience
Candidates with a relevant Masters degree and less experience will
also be considered.
Technical Skills (Required)
Excellent python skills (NumPy/pandas/matplotlib/sklearn) version control (git) SQL and database APIs (cxoracle pymysql sql alchemy)cloud deployment experience (AWS containerization) and familiarity with AWS services (S3/EC2/Sage Maker).
Comfortable and effective working in an Agile/Scrum environment.
Desired qualifications: Machine Learning model development experience familiarity with engineering/IOT systems telematics/timeseries data analysis and multiprocessing frameworks
(dask pyspark).
(Desired)
AWS Certified Cloud Practitioner (or higher) desired
Soft Skills (Required)
Excellent communication skills.
Critical thinking and independent problem resolution.
Ability to work both independently and on a team: collaborates and compromises effectively.
Please forward your resume and contact details to / or can call on
Full Time