Data Scientist identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Scientist interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Additionally, Data Scientist designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. The Data Scientist work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)
Job Description =
Position’s Contributions to Work Group:
- Data Scientist role to develop and deliver analytics models for Client 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.
Education & Experience Required:
- 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.
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 (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.
Job Type: Contract
Pay: $55.00 - $60.00 per hour
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Work Location: In person
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