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Machine Learning Engineer
- Chantilly, Virginia, United States
- Chantilly, Virginia, United States
Über
The team shall work closely with systems engineers, database administrators, HR and Talent management, subject matter experts (SMEs), and project managers. The team shall perform a gap analysis of the following sub‑tasks to include analyzing the current state, creating a baseline, identifying the gaps between what is known and what is needed, and developing an action plan to mitigate the gaps.
Review the Sponsor’s analysis of data sets.
Compare data sets against information contained in various HR and Talent Sponsor systems.
Review and map the Sponsor’s knowledge, skills, and abilities (KSAs) data sets to a variety of data sets pulled from various sources and identify structural differences between the fields in the various data sets.
Review the Sponsor’s data cleansing status.
Preview mock cleansing to show previous and desired end states.
Responsibilities
Establish a repeatable process to periodically “scrape” and collect skills from a collection of Sponsor performance reviews.
Comply with the Sponsor’s guidance and policies regarding the collection, analysis, and use of personal identifiable Information (PII).
Create an access‑controlled collection of disparate data sources.
Create an access‑controlled database to store collected jobs, competencies, KSAs, and proficiency levels. The portable database will be transferrable to the process owner upon the completion of the implementation.
Create a data migration plan to export collected skills and competencies into the Sponsor’s systems.
Scrape, collate, and perform analysis of skill sets from open source, commercially available, and existing Sponsor databases and applications for addition to the skills repository.
Scrape, gather, and analyze onboarding data to enrich the skill and competencies repository.
Review and analyze all Sponsor service competency data for addition to the skill and competencies repository.
Collaborate with other internal Sponsor offices to review, analyze, and update competency data from open source, commercially available, existing Sponsor databases, and applications, in addition to the skill and competencies repository.
Evaluate the Sponsor's current Chatbot and Machine Learning (ML), Artificial Intelligence (AI) offerings, and integration methods, and provide a report on opportunities to integrate with the Sponsor's systems.
Evaluate and assess the Sponsor’s planned system restructuring and its data integration impacts with a new external service provider.
Work with the Sponsor's team supporting the system restructure to understand data standards required and the impact on the Sponsor’s OPM standardization efforts.
Create a transition guide or Standard Operating Procedures (SOPs) of activities.
Create and maintain documentation for a Skills Taxonomy Gap Analysis Report to include an assessment of the current state, proposed baseline of competencies and KSAs, identification of missing data, and an action plan for gap mitigation.
Create and maintain documentation of methodologies and tools used to accomplish the Scope of Work (SOW).
Create and maintain documentation related to system access to database(s), systems used, and databases accessed to perform the work.
Create and maintain a list of Internal and External Key Contacts, to include names and contact information.
Create and maintain documentation regarding concerns, risks, and issues regarding data, storage, tools, and access.
Create and maintain documentation regarding the status of deliverables and open actions.
Required Skills
Demonstrated experience designing, creating tables, views, relationships, and scripting (SQL) with database systems (Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data).
Demonstrated experience with implementing and using extract, transform, and load (ETL) tools.
Demonstrated experience implementing, using, and creating Data Application Programming Interfaces (APIs) or data services.
Demonstrated experience with Python, Java, and Scala programming languages.
Demonstrated experience implementing, using, and creating data visualizations.
Demonstrated experience implementing, using, or creating ML/AI software, tools, and services.
Demonstrated experience using or creating Amazon Web Services (AWS)-based analytic tools and services.
Demonstrated experience using and implementing Apache Hadoop.
Desired Skills
Demonstrated experience with using and creating Tableau visualizations.
Demonstrated experience with using and creating workspaces in Bluescape.
Demonstrated experience working with data services in the Sponsor’s cloud environment.
Demonstrated experience with the Sponsor’s HR data and database environment.
Demonstrated experience using SharePoint, and adding and integrating content.
Demonstrated knowledge of Agile Project Management Methodology.
Benefits
Flexible work environment
A team mentality – work with friendly, like‑minded professionals
Work with innovative, cutting‑edge technologies
Enjoy extremely competitive compensation and benefits
A work‑life balance you can count on
Opportunities to grow and advance your career on our dime
Amusing benefits including matching 401k, fully paid medical, and more
Generous paid time off – including paid site closure days
Competitive salary offerings
Paid training and tuition reimbursement
Fully paid life and disability insurance
Company sponsored events (game nights, holiday party, summer party, happy hours)
Accessibility: If you need an accommodation as part of the employment process, please contact Human Resources at Phone: 410‑290‑9035.
Equal Opportunity Employer – we do not discriminate on the basis of race, color, religion, sex, age, marital status, disability or veteran status.
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Sprachkenntnisse
- English
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