- W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Job ID:
J36993
Specialized Area:
Data Science
Job Title:
Data Scientist
Location:
Richmond,VA
Duration:
6 Months
Domain Exposure:
IT/Software
Work Authorization:
US Citizen, Green Card, OPT-EAD, CPT, H-1B,
H4-EAD, L2-EAD, GC-EADClient:
To Be Discussed Later
Employment Type:
W-2 (Consultant must be on our company payroll. C2C is not allowed)
Job Description
- Guide and inspire the organization about the business potential and strategy of Artificial Intelligence (AI)/data science.
- Identify data-driven/Machine Learning (ML) business opportunities.
- Collaborate across the business to understand IT and business constraints.
- The 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 (ML) modeling, 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.
- Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science.
- Identify data-driven/ML 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 Machine Learning (ML) and advanced analytics techniques to perform classification or prediction tasks.
- Integrate domain knowledge into the Machine Learning (ML) solution.
- Collaborate with Machine Learning (ML) operations (MLOps), data engineers, and IT to evaluate and implement Machine Learning (ML) deployment options.
- Continuously monitor execution and health of production Machine Learning (ML) models.
- Establish best practices around Machine Learning (ML) production infrastructure
- Specialization in Machine Learning (ML), Artificial Intelligence (AI), cognitive science or data science; Coding knowledge and experience in R, Python/Jupyter, SAS, Java, Scala, C++, MATLAB, etc.
Apply Now
ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract