Data Scientist

Company

Federal Reserve Bank of Kansas City

When you join the Federal Reserve—the nation's central bank—you’ll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems. We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we’re building a dynamic and diverse team for our future.

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 w