Data Scientist
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Diversified Services Network, Inc. (DSN) is seeking a full-time Data Scientist to join our team in Peoria, IL/Chicago, IL/Champaign, IL! We offer a HYBRID work model, full benefits, PTO, 401k, and more! If you're looking to grow your technical career within an extremely reputable, stable Fortune 500 company - let's talk!
JOB RESPONSIBILITIES:
- Develop equipment condition monitoring models to power scalable aftermarket services solutions for customers and dealers.
- Use machine learning, statistics-based, and physics-based analytics techniques on time-series sensor data, machine fault codes, inspections and analysis records, and other datasets to identify health anomalies, predict equipment failure modes, build equipment risk models, and estimate remaining useful life.
- Mentor and develop the capabilities and organizational knowledge of junior data scientists.
- Prototype, develop, iterate, test, and deploy models to production under the direction of a team lead, successfully meeting program objectives/timelines and solving problems with appropriate supervision.
- Explain conclusions to customers who have limited knowledge of quantitative analytics methods and will collaborate effectively with diverse teams (including other data scientists, product design/simulation experts, platform/application developers, condition monitoring analysts) to develop analytics algorithms that enable condition monitoring commercial offerings of strategic importance.
- Apply machine learning to remote sensor data to diagnose potential issues and recommend proactive repairs before failure.
- Develop statistical models for time series analysis to identify anomalous behavior.
- Collect and negotiate requirements for condition monitoring models.
- Access, analyze, cleanse, preprocess data; cultivate ground truth data sets as needed.
- Explore and down select modeling approaches.
- Develop, back test 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 in data science, analytics, computer science, engineering or related field with 2-4 years’ experience.
- Master's degree and/or PhD with 1-2 years’ experience.
- AWS Certified Cloud Practitioner (or higher).
REQUIRED SKILLS:
- Excellent python skills (NumPy/pandas/matplotlib/sklearn), version control (git), SQL and database APIs (cx_oracle, pymysql, sqlalchemy) experience.
- Cloud deployment experience (AWS, containerization) and familiarity with AWS services (S3/EC2/SageMaker).
- Comfortable and effective working in an Agile/Scrum environment.
- Machine learning model development experience, familiarity with engineering/IOT systems, telematics/timeseries data analysis, and multiprocessing frameworks.
- Excellent python coding skills.
- Familiarity with condition monitoring, or related modeling and analysis of heavy equipment engineering systems.
SOFT SKILLS REQUIRED:
- Critical thinking and independent problem resolution.
- Ability to work both independently and on a team while collaborating and compromising effectively.
- Fast learner with excellent communication skills.
Benefits:
- 401(k)
- Dental insurance
- Vision Insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Paid Holidays
Please follow the link to our website for a list of job openings in Engineering, IT, Project Management, and more! https://www.dsnworldwide.com
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