Posted in Science about 3 hours ago.
Type: Full-Time
Location: Kansas City, Missouri
Important Information
Open to US Citizens and Permanent Residents or Green Card holders with the intent to become a US Citizen.
No F-1 or H-1B sponsorship is available.
Candidates must have valid work authorization, without an end date.
About the Role
The Data Utility Office (DUO) is a centralized data office housed within the Federal Reserve of Kansas City – the Federal Reserve System’s 10th District. Our mission is to ‘Connect People to Data’. As a Data Scientist within DUO, this position will focus on developing, deploying, maintaining, and improving upon the current and future data science products, features, and components within our portfolio. The position will also explore the possibilities of adopting new formats of data science, machine learning, and artificial intelligence with a particular emphasis on providing tangible value to internal functions of the Federal Reserve.
Key Activities
Maintenance and improvement of operational machine learning (ML) and artificial intelligence implementations:
Establish a detailed technical understanding of DUO’s products that leverage ML/AI – including the training datasets, model training methodologies, technical infrastructure, and model monitoring approach.
Work collaboratively with DUO’s product owner and architect to maintain a detailed roadmap for ML/AI epics, features, and stories – organizing the tangible work needed to maintain and improve upon our products.
Monitor accuracy and precision of models over time.
Lead efforts to retrain models by expanding upon underlying training datasets, introducing new features, and working with others to ensure training data is of highest quality.
Development of New Machine Learning and AI Features/Products:
Collaborate with the people and teams that DUO supports to understand their unique situations, challenges and opportunities. Utilize the knowledge gained to support the curation of potential new opportunities, leveraging ML/AI.
Take a hands-on, iterative approach in researching, designing, and building new machine learning and AI features/products.
Identify the most valuable models and methodologies, implement and train the models, and contribute to their deployment into the production environment.
Required Qualifications
Typically 3-6+ years of hands-on experience developing, deploying, and maintaining ML/AI products within a large, professional or academic organizations.
Bachelor’s degree with specialization in a technology related field (Computer Science preferred, Master’s preferred) from an accredited college or university, or equivalent combination of directly related education and/or experience.
Expert proficiency in Python data science development.
Hands-on experience deploying ML/AI products into a cloud environment.
Demonstrated ability to work collaboratively with cross-functional teams and communicate effectively with both technical and non-technical audiences.
Preferred Qualifications
Proficiency of existing and emerging trends within the AWS cloud environment
Experience with Natural Language Processing (NLP) techniques like TFIDF, named entity recognition, tokenization, lemmatization. Familiarity with more advanced techniques such as word embeddings. Specific model experience with: Scikit-learn Logistic Regression models, SpaCy python package, XGBoost, K-Nearest Neighbor (KNN).
Additional Information
Location(s):
Hybrid – Kansas City, Denver, Oklahoma City, Omaha
Remote Eligible – Yes
Salary:
$80,000 - $119,900 / Experienced Level
$98,800 - $148,100 / Senior Level
Final offers are determined by factors including the candidate’s qualifications, internal alignment considerations, district assignment, and geographic location.
Screening: This position has additional screening requirements due to the information accessed while performing the job. These additional screenings would be initiated at the time of offer acceptance and can take up to a couple of months to be completed. You can begin work before the screening is completed; however, continued employment is contingent on acceptable screening results. The areas screened may include education/employment verification, criminal history, credit history, and reference checks.
Sponsorship: The Federal Reserve Bank of Kansas City will not sponsor a new applicant for employment authorization for this position. Applicants must be currently authorized to work in the United States without an end date and without the need for visa sponsorship now or in the future.
About Us
Follow us on LinkedIn, Instagram, X (formerly Twitter), and YouTube #KCFedIT
The Federal Reserve Banks believe that diversity and inclusion among our employees is critical to our success as an organization, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.
Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.
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