Data Scientist 3

Description:

• Data Scientist role to develop and deliver analytics models for the 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 Day:

• 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.

Technical Skills Required:

(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)

• 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.

Education Requirements:

• Bachelor's Degree (Data Science, Analytics, Computer Science, Engineering or related field) 5-7 years experience
• Candidates with a relevant Master's degree and less experience will also be considered.

Travel: None

Required Skills : Agile Methodology,GIT,Python,SQL
Additional Skills : Applications Architect,Business Analyst,Big Data