Job Specifications
Our client, a leader in the integration of complex software with advanced mechanical systems, is seeking a Data Scientist to join their dynamic team. This role is vital for providing comprehensive data analytics support to enhance the operational efficiency and decision-making capabilities across all technical domains of the company.
This Role Offers:
Competitive compensation package including benefits such as health insurance, retirement plans, and potential stock options.
A role within a stable, expanding company renowned for its commitment to quality and innovation.
An opportunity to work in a high-tech environment where quality assurance directly impacts the success and reliability of sophisticated systems.
Access to a vibrant, collaborative work environment supported by both cutting-edge technology and a seasoned leadership team.
Opportunity to have control over requirements, architecture, and implementation of new ideas to support all their IoT products moving forward.
Focus:
Develop metrics collection pipelines from various distributed systems.
Clean and integrate large datasets from multiple sources to ensure robust data availability.
Collaborate with system owners to define and meet Service Level Objectives.
Partner with Operations and Reliability Engineers to create insightful dashboards and alerts.
Assist Systems Engineers in analyzing large sets of performance data to drive design and network optimization.
Validate and improve the accuracy of simulation models using operational data at scale.
Support cross-functional teams in making data-informed decisions to enhance system reliability and performance.
Skill Set:
Bachelor's degree or higher in Electrical Engineering, Data Science, Statistics, Mathematics, Computer Science, Information Systems, Physics, or Computer Engineering.
A minimum of 3 years of experience in data analytics.
Proficiency in programming languages such as Python, R, and/or MATLAB.
Strong background in SQL databases, mathematical/statistical analysis, and data visualization (e.g., optimizing complex queries for large datasets).
Excellent verbal and written communication skills, with the ability to interact clearly and concisely with all departments and levels of management.
Strong organizational skills, attention to detail, and the ability to manage multiple deadlines in a fast-paced environment.
Familiarity with AWS data pipeline tools (S3, Kinesis, Kinesis Analytics, etc.) and data visualization tools such as Matplotlib, R, MATLAB, Tableau, Microsoft PowerBI, or Grafana.
General understanding of electrical engineering principles is desired but not required.
About Blue Signal:
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About the Company
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