What are the responsibilities and job description for the Data Scientist, Mid-Level position at Jobright.ai?
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Job Summary:
ICF is a global advisory and technology services provider, seeking an enthusiastic Data Scientist to join their team and leverage data science in a consulting environment. The role involves creating dashboards, collaborating within a SAFe agile framework, and engaging with clients to enhance data-driven decision-making.
Responsibilities:
• Create Dashboards using AWS QuickSight with both visuals (charts, graphs, etc...) as well as tables for end users to slice and dice data to gain insights to various business processes.
• Demo work in both small and large virtual settings with clients and end users to obtain feedback on enhancing dashboards to meet business requirements.
• Work within a SAFe scaled agile framework, collaborating with other data scientists, data engineers, quality engineers, business analyst and product owner to ensure solutions meet client needs with the highest quality.
• Create and maintain datasets from disparate data sources and provide analysis thereof using SQL and QuickSight.
• Balance technical data architecture and data flows with end user UX best practices.
• Ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations.
• Engage with Data Engineering to build out next-level data infrastructure (DBT).
• Participate in code reviews in GitHub and knowledge sharing, specifically when building solutions within a specific business domain that other team members may not work in.
• Partner with customers, product owner, business analyst on gathering requirements or doing mockups of what a potential dashboard solution might look like.
• Collaborate with data scientists and data engineers in the team and across the company.
Qualifications:
Required:
• Bachelor’s degree in Computer Science or related field.
• 5 years’ excellent problem-solving skills and end-to-end quantitative thinking. Masters with 3 years.
• 5 years’ experience in data & analytics projects using data applications to develop insights from large datasets; and handling large datasets.
• 2 years’ experience working with tools like JIRA, GitHub, and Confluence.
• 2 years’ experience with working on cloud platforms in AWS.
• 2 years’ strong understanding of relational database and data warehousing concepts (e.g. OLAP, dimensional modeling).
• 2 years’ experience with one or more statistical software and database management software packages (e.g. R, Python, and SAS).
• 2 years’ experience with one or more analytical and visualization software packages (such as QuickSight, PowerBI, Tableau and GIS software).
• Candidate must be able to obtain and maintain a Public Trust.
• Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S.
• Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years.
Preferred:
• Experience with data linking / advanced data management, combining data from different sources, automation, and deploying data science solutions at scale.
• Experience in data organization, cleaning, treating, etc., a knowledge of version control and reproducibility.
Company:
ICF is a global consulting and technology services provider focused on making big things possible for our clients. Founded in 1969, the company is headquartered in Fairfax, Virginia, USA, with a team of 5001-10000 employees. The company is currently Public Company.
