Data ScientistKaav Inc. • Chicago, IL, United States
No longer accepting applications
Data Scientist
Kaav Inc. • Chicago, IL, United States
5 days ago
Job type
- Full-time
Job descriptionCollect 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. 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 (dask, pyspark). AWS Certified Cloud Practitioner (or higher) - desired Excellent communication skills. Critical thinking and independent problem resolution. Ability to work both independently and on a team : collaborates and compromises effectively. Bachelor's Degree (Data Science, Analytics, Computer Science, Engineering or related field) 5-7 years experience Candidates with a relevant Master's degree and PHd with 3 year experience
Description :
- 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.
Responsibilities :
Techinical Skills Required :
Desired Skills :
Soft Skills Required :
Education & Experience Required :
Required Skills : AWS Cloud Formation,Data Analysis,Business Intelligence,API,SQL
Additional Skills : AWS Engineer,Data Scientist,Big Data
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Data Scientist • Chicago, IL, United States
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