Data Scientist
- Washington, DC, United States
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Job details
- Experience
- 5+ years of experience in data science, data analytics, data engineering, etc.
- Posting language
- English
Original job description
PID: 26-02-09J-013
Summary
E-INFOSOL LLC is seeking a highly motivated Data Scientist to be a full-time employee in Washington, DC to join our innovative and customer solutions focused team.
Job Description
We are seeking a detail-oriented and experienced Data Scientist to develop solutions as part of a combined IT Business Intelligence development and data science team working to integrate the agency’s business intelligence reporting capabilities, with a particular focus on IT, cybersecurity, and finance business data. In addition to traditional data science techniques. The Data Scientist works to support the developer in the creation, maintenance, and improvement of products, primarily in the Power Platform suite, that facilitate comprehensive end-to-end data collection, transform raw data into actionable business insights through statistical analysis, KPI development, PowerBI dashboarding, and proven machine learning methods, and reduce or eliminate manual effort in data processing by automating common processes. The Data Scientist will propose, implement, and leverage AI and ML solutions to advance agency’s business intelligence capabilities.
Key Responsibilities:
- Data science tasks will include analysis, query, aggregation, visualization, extract/transform/load, complex statements, scripts, stored procedures, triggers, and implement business intelligence and data warehousing solutions.
- Mine data using state of the art method.
- Builds, maintains, and improves dashboards, applications, and automations within the Power Platform (PowerBI, Power Automate, and PowerApps), SharePoint, and InfoPath environments to reduce or eliminate manual effort in data processing by automating common processes.
- Connects to and leverages application programming interfaces (APIs), system-to-system connections, and manual transfer of data as part of business intelligence extract, transforms, and load (ETL).
- Builds predictive risk models backed by statistical analysis and support data-driven solutions.
- Identifies and applies usages of AI and ML to extract key insights from unstructured system documentation for analysis, to automate of processes, and to integrate with other applications.
- Develops and carry out full-service data calls, including creation of collection applications and forms, data normalization, data cleansing, and visualization.
- Creates insightful and impactful business intelligence analysis and visualizations to be consumed by agency senior management, IT system owners, and Division and Field Office leaders.
- Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level.
- Researches and recommends business data storage and data integration solutions specific to the agency IT environment.
- Develops user guides and documents for business intelligence products.
- Finds and designs new approaches to handle, analyze, and use large data sets.
- Solves complex data and storage issues.
- Analyzes and reports results with actionable recommendations.
- Incorporates data science tools such as scripting (SQL, R, Python, etc.) into existing and new services to continuously advance available offerings.
- Identifies, understands, and connects new sources of business intelligence from enterprise holdings that answer key business intelligence questions from agency leadership.
- Develops and improves methodologies and tools to assess cybersecurity, financial, and strategic risk at the information system, division, branch, and enterprise level.
- Works on data collection for regular and ad-hoc data calls for internal and external customers, develops and enhances service requests portals, dashboards and visualizations integrating business data from SharePoint, applications, files, and internal and external data sources, creating and maintaining Power Automations supporting multiple business processes, integration of AI/ML into BI reporting, cleansing, and curation of business intelligence datasets, re-development of a quantitative cybersecurity risk assessment tool, and development of additional quantitative risk assessment tools.
Required Qualifications
- Active Top-Secret clearance with capability to obtain SCI/CI Poly if needed to meet contract requirements.
- Bachelor’s Degree in Computer Science, Information Technology, or related field.
- 5+ years of experience in data science, data analytics, data engineering, etc.
- Experience with data science tools such as scripting (SQL, R, Python, etc.)
- Experience leveraging application programming interfaces (APIs)
- Experience with AI/ML
- Experience with Power BI dashboards
About E-INFOSOL E-INFOSOL is a Service Disabled and Veteran Owned Small Business (SDVOSB) located in the Washington, D.C. metropolitan area. We specialize in building modern and tailored solutions to support our customers’ mission. As a mission-first organization, we deliver Subject Matter Expertise (SME) in cloud computing, virtualization, cyber security, software development and data services. We support the Intelligence Community, Department of Defense, Federal Law Enforcement, Civilian Agencies and the Private Sector.
Through strategic partnerships with top industry players such as Amazon Web Services (AWS), VMware, Microsoft and Nutanix, E-INFOSOL provide an array of IT products and solutions. Combined with our industry expertise, we deliver in-depth knowledge on Government requirements and fully understand NIST and DoD security requirements. Our expertise in the latest technologies combined with our understanding of infrastructure needs and security requirements provides the best combination for achieving innovative and secure environments for Government Agencies and Private Sector.
Career Growth “Putting People First, Achieving our Mission Together”. E-INFOSOL is a people-first organization focusing on a positive employee culture that inspires creativity and innovation in support of our customers. With opportunities such as reimbursement and bonuses based on completion of certifications, we invest in our employees’ career growth.
Benefits
- Medical – company subsidized premiums for employees, including family and dependent options.
- Dental and Vision
- Retirement Savings (401k) up to 4% match
- Health Savings Account (HSA), FSA and DCFSA
- Company-paid Short/Long-term disability (w/ additional supplemental options)
- Company-paid Life and AD&D (w/ additional supplemental options)
- Generous Paid Time Off and ALL 11 Federal Holidays
- Legal and Identity Protection Services
- Bonuses for certifications and reimbursement
Employee Perks:
- UberOne, Company Outings (Sporting events, Happy Hours, etc.), Discounts on services including Pet Insurance
Company Awards
- SBA 8(a) Certified
- SDVOSB
- GSA Contract Holder
- Inc. 5000
Equal Employment Opportunity Policy E-INFOSOL LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Website: E-INFOSOL.com
More about this job
Skills
- Business intelligence
- Work as a team
- Reporting
- Cybersecurity
- Microsoft Power Platform
- Statistics
- Microsoft Power BI
- Machine learning
- Process data
- ML
- Data extraction, transformation and loading tools
- Data warehousing
- Perform data mining
- Microsoft Power Automate
- Power Apps
- Microsoft SharePoint
- ICT system programming
- Data engineering
- Data storage
- SQL
- R
- Python
- Leadership
- Computer science
- Computer technology
- Data analysis
- Cloud computing
- Security regulations