Cloud Data Scientist
USA VA Home Office (VAHOME), United States
Type of Requisition:
RegularClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
NoneJob Family:
Data ScienceJob Qualifications:
Skills:
Artificial Intelligence (AI), Data Analysis, Machine Learning, Python (Programming Language), Structured Query Language (SQL)Certifications:
NoneExperience:
2 + years of related experienceUS Citizenship Required:
NoJob Description:
Seize your opportunity to make a personal impact as a Cloud Data Scientist supporting the CMS Cloud team. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.
At GDIT, people are our differentiator. The Cloud Data Scientist is responsible for activities related to implementing approaches for analyzing cost and usage information including modeling, visualization, reporting, and analytics. A successful candidate will be able to contribute to data collection and visualization, as well as identify and implement solutions that use statistics, machine learning, and artificial intelligence to enhance data value. This role guarantees CMS and the application owners have the information needed to ensure the hybrid cloud is efficient, effective, and secure.
HOW YOU WILL MAKE AN IMPACT:
Performs scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets; develop data-driven solutions to difficult business challenges
Design, implement, test and maintain the ETL, ODBC, and/or API processes to ingest and prepare data for analysis
Analyze internal and/or industry data using statistical techniques and provide reports/feedback
Summarize and communicate those answers to other teams in the organization for action and decision making
Access data, cleanse data, perform statistical analysis, visualize data and communicate results
Identify, analyze, and interpret trends in multiple data sets
Assisting coworkers with collecting and reviewing financial data from various Cloud sources. (i.e. Cloudtamer, CloudCheckr, Cloud native cost management tools) using APIs
Performing technical analysis to help Business Owners determine the impact of cloud adoption
Providing financial analysis on AWS services to determine areas of optimization
Creates, maintains, updates financial deliverable via Microsoft Excel or other financial dashboards
Analyzes customer cloud requirements and provide technical knowledge on cloud computing techniques and technologies of low- moderate complexity
Research, evaluate, and deploy cloud computing optimization techniques
Assists with the management of the AWS master payer account with 900+ linked accounts
Extensive, timely customer service
AWS & MAG Cost analysis using deep understanding of Cost usage reports - writing SQL queries in AWS (Athena) to customize reports is a plus
Assist with validating and improving BI Dashboards (e.g., QuickSight, PowerBI)
Using AWS Trusted Advisor, Cost Anomaly, QuickSight, Bedrock
Participates in special projects as required
WHAT YOU’LL NEED TO SUCCEED:
Education: Bachelor’s degree in Information Systems, Computer Science, Engineering, or a related technical discipline, or the equivalent combination of education, technical certifications or training, or work experience
Required Experience: 2+ years relevant experience in Cloud or Financial Operations specifically with AWS
Required Technical Skills: Strong Python program language skills (boto3); Ability to run API queries on cost and billing data; Experience with SQL queries; JSON & YAML experience; Experience in CloudWatch metrics, S3, Cost and Usage Data; Cloud optimization expertise in AWS experience required; Understanding of Cloud Technologies; Being able to look at a large data set and identify trends; General statistics and economics skills; Expert level experience with Microsoft Excel; Experience with machine learning and artificial intelligence such as AWS SageMaker and AWS Bedrock
Security Clearance Level: No clearance needed
Required Skills and Abilities: Effective communication skills both orally and written; Effective organizational skills; Experience with communicating complex data analysis clearly and understandably to people with no statistics or programming background
Preferred Skills: AWS Certification; Master's degree is preferred; Microsoft Azure is a plus
Location: 100% remote working; DMV preferred; Program resources must be willing to travel occasionally to the MD/VA/DC area on an as needed basis.
US Residency: Applicants shall have lived in the United States at least three (3) out of the last five (5) years prior to submitting an application for a Federal ID Card
Working Hours: Monday-Friday 9am to 5:30pm eastern time. All resources on the program must support occasional incident/issue during non-core business hours.
GDIT IS YOUR PLACE:
401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Rest and recharge with paid vacation and holidays·
Scheduled Weekly Hours:
40Travel Required:
Less than 10%Telecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional Work Locations:
Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.We connect people with the most impactful client missions, creating an unparalleled work experience that allows them to see their impact every day. We create opportunities for our people to lead and learn simultaneously. From securing our nation’s most sensitive systems, to enabling digital transformation and cloud adoption, our people are the ones who make change real.GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class. ApplyJob Profile
100% remote Must be willing to travel occasionally
Benefits/Perks100% Remote Comprehensive health and wellness packages Cutting-edge technology Dental plan Dental plan options Disability benefits Flex work weeks Fully remote Health and wellness packages Health Savings Accounts Holidays Internal mobility Internal mobility team Jury duty leave Meaningful contributions Medical plan options Paid Education Paid education and certifications Paid Family Leave Paid Time Off Paid time off plans Paid Vacation Paid vacation and holidays Professional growth Professional growth opportunities Remote work Total Rewards package Vision Plan
Tasks- Analysis
- Analyze
- Analyze data
- Application development
- Assist with financial analysis
- Communicate Results
- Communication
- Customer Service
- Deliver solutions
- Deploy
- Design
- Design and implement ETL processes
- Develop
- Develop data-driven solutions
- Identify trends
- Implement
- Implement solutions
- Maintain
- Perform statistical analysis
- Reporting
- Research
- Statistical analysis
- Test
- Visualize data
Access AI Analysis Analytics API APIs Application Development Artificial Intelligence AWS Azure Cloud Cloud Computing Cloud Technologies Communication Cost Management Customer service Dashboards Data analysis Data Collection Data Science Data Visualization Design ETL Excel Financial analysis Financial Operations Information systems JSON Machine Learning Management Tools Microsoft Microsoft Azure Microsoft Excel ODBC Organizational PowerBi Power BI Programming Python Python programming Quicksight Reporting Requirements REST S3 Sagemaker Security SQL Statistical analysis Teams Technical knowledge Test Training Visualization Writing
Experience2 years
EducationAS Bachelor's degree Business Certifications Computer Science Data Analysis Data Science Degree Design Engineering Equivalent Equivalent combination of education Information Systems Master's Master's degree Related Technical Discipline Science Statistics Technical Discipline Training Work experience
CertificationsAWS Certification Public Trust
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9