RemoteWorker US | Data Scientist – Machine Learning (Remote) | United States | United States | BigDataKB.com | 2023-01-16

Job Location: United States

Job Detail:

Company Overview

GovCIO is a team of transformers—people who are passionate about transforming government I.T. We believe in making a difference by developing digital strategies and delivering the technology-related innovation that improves governmental operations each day.

But we can’t do it alone. We welcome and nurture an inclusive and diversified work culture. Because different backgrounds, experiences, abilities, and perspectives make us better decision-makers, problem solvers, and creators. We’re changing the face of I.T. – from our diverse staff to the end-products we develop. And we’re excited to expand our team. Are you ready to be a transformer?

GovernmentCIO is seeking a Data Scientist, who will apply operations research and data science skill sets and methods to support building processes that manage and improve OIT’s response posture to system events impacting end users and Veterans. This includes working with business partners to improve communication and responsiveness to application failures by minimizing impacts in performance degradation and availability and working towards a significant reduction in application downtime and impact on the users. In this role you will directly support a Chief Data Scientist team lead, working alongside analytics and data science professionals.

Responsibilities

• Use modern data analytics and business intelligence tools (ex: R, SAS, Python, Splunk, ITSI, Pyramid, Power BI) to mine data from systems, compile and compare data sources, and identify impactful trends or insight related to systems performance, availability, and reliability.
• Conduct quantitative analysis using operations research tools, economics, and other quantitative techniques in the areas of procedural implementations and performance issues.
• Assist in the definition of machine learning and data mining strategies that support automation of rational decision-making, workflow analysis
• Support the creation, deployment, maintenance, and refining of decision management models.
• Perform modeling and simulation functions or operations such as, but not limited to exercises, plans, coordination, demonstrations, and instruction in applicable fields.
• Support the finding and leverage methods to extract difficult or unstructured data from systems
• Support the collection, development, and/or editing of content for white papers and other communication devices; and assess and evaluate the effectiveness of executive communication to effect process improvement.
• Support the vision of the overall user experience across all creative disciplines by participating in human-centered design, information architecture, usability, and other applicable best practices
• Support the optimizing overall customer and end-user experience across all engagement and interactions.

Qualifications

• Bachelor’s Degree is preferred in Business Administration, Business Management, Computer Science, Information Systems, Information Resource Management, Industrial Engineering, Operations Research or related fields.
• 5+ years of relative experience
• 8 to 10 years of relevant experience may be substituted for education (13-15 years total)

Required Skills And Experience

• Specialist in modeling and simulation functions or operations such as, but not limited to exercises, plans, coordination, demonstrations, and instruction in applicable fields.
• Experience with data analytics and business intelligence tools (ex: R, SAS, Python, Splunk, others) to mine data from systems, compile and compare data sources, and identify impactful trends or insight
• Ability to communicate and present findings, material, or other pertinent information with contract leadership, client and business stakeholders, and team members.

Preferred Skills And Experience

• Master’s Degree is preferred in Business Administration, Business Management, Computer Science, Information Systems, Information Resource Management, Industrial Engineering, Operations Research or related fields.

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