VDOT Data Scientist (Vinton)

Compensation

: $113,000.00 - $176,210.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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VDOT Data Scientist
VENDOR MAXIMUM SUBMITTAL RATE

*local candidates strongly preferred
*Manager will determine if he wants to conduct onsite vs. phone interviews. Candidates submitted must be able to attend an onsite interview, if requested, NO Skype, NO exceptions


Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science. Identify data-driven/Client business opportunities. Collaborate across the business to understand IT and business constraints.


Data science team will play a pivotal role in planning, executing and delivering machine learning-based projects to improve highway safety, reduce congestion and improve business processes. The bulk of the work will be in machine learning (Client) modelling, management and problem analysis, data exploration and data correlation and clustering. The data scientist will be a key interface between the office of strategic innovations and analytics teams and leadership in the business units, and the information technology division. Candidates need to be very much self-driven, curious and creative. Primary Responsibilities: Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science. Identify data-driven/Client business opportunities. Collaborate across the business to understand IT and business constraints. Acquire access to various databases, and other source systems. Help to create data pipelines for more efficient and repeatable data science projects. Apply statistical analysis and visualization techniques to various data.
Network with domain experts to better understand the business mechanics that generated the data. Apply various Client and advanced analytics techniques to perform classification or prediction tasks. Integrate domain knowledge into the Client solution. Collaborate with Client operations (MLOps), data engineers, and IT to evaluate and implement Client deployment options. Continuously monitor execution and health of production Client models. Establish best practices around Client production infrastructure


SkillRequired / DesiredAmountof Experience
specialization in Client, AI, cognitive science or data science; Coding knowledge and experience in R, Python/Jupyter, SAS, Java, Scala, C++, MATLAB, etc.Highly desired6Years

Associated topics: artificial intelligence, circuit, c#, c c++, electrical engineering, electronic, programmer, radar, schematic, software * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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