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 :
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.Techinical 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 (dask, pyspark).Desired Skills :
AWS Certified Cloud Practitioner (or higher) - desiredSoft Skills Required :
Excellent communication skills.Critical thinking and independent problem resolution.Ability to work both independently and on a team : collaborates and compromises effectively.Education & Experience Required :
Bachelor's Degree (Data Science, Analytics, Computer Science, Engineering or related field) 5-7 years experienceCandidates with a relevant Master's degree and PHd with 3 year experienceRequired Skills : AWS Cloud Formation,Data Analysis,Business Intelligence,API,SQL
Additional Skills : AWS Engineer,Data Scientist,Big Data