Hello
Hope you are safe and well.
If you’re interested, please give me a call back on 15106814444 EXT: 237 or you can reply to me back with your resume on kritika.sharma@infostride.com
- Position Number: 470731
- Job Title: Data Scientist
- Job Location: Chicago, IL, USA, 60616
- Estimated Duration (In Weeks): 48
- Skills/Attributes: Analytics,Data Scientist,Python
- Number of Positions: 1
Position Description:
Education & Experience Required:
- - Bachelor''s Degree (Data Science, Analytics, Computer Science, Engineering or related field) 2-4 years experience
- - Candidates with a relevant Master''s degree and PHd with 1-2 year experience
Technical Skills (Required)
- - Excellent python skills (numpy/pandas/matplotlib/sklearn), version control (git), SQL and database APIs (cx_oracle, pymysql, sqlalchemy), cloud deployment experience (AWS, containerization) and familiarity with AWS services (S3/EC2/SageMaker).
- - 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
(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.
- Position’s Contributions to Work Group:
- - Data Scientist role to develop and deliver analytics models for client''s 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 rule-based models, and other data analytics techniques to generate actionable insights from time-series 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 downselect modeling approaches.
- - Develop, backtest and validate models in python, in both on-prem 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.
Interaction with team:
- - Daily standup with team
- - Technical touchpoints with the lead
Work environment:
Notes:
We are looking for a Data Scientist with strong Python and Analytical exp