Junior Data Scientist: ML Pipelines & MLOps

Confidential; United States; Presencial; USD 70 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Comprehensive health insurance coverage

Retirement plans

Telework opportunities

Stable role in a mission-driven organization

Resumo da oferta

A leading financial organization is seeking a Junior Data Scientist to support data product optimization and serve as a bridge between model development and production deployment. The role emphasizes enhancing data operations through analytics and AI-driven solutions. Ideal for early-career professionals, candidates should have a relevant bachelor's degree and strong skills in Python and SQL. The position offers comprehensive health insurance, retirement plans, and telework opportunities within a mission-driven environment.

Qualificações

• Bachelor degree in a relevant field such as Data Science or Computer Science.
• Strong skills in Python for data analysis and modeling.
• Proficiency in SQL for querying and managing datasets.

Responsabilidades

• Analyze and optimize data products to improve performance and usability.
• Support the transition of machine learning models from development to deployment.
• Perform data analysis using Python and SQL to drive operational insights.

Conhecimentos

Data analysis

Python programming

SQL proficiency

Machine learning concepts

Analytical thinking

Formação académica

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field

Ferramentas

Python

SQL

Descrição da oferta de emprego

seeking a Junior Data Scientist to support the optimization of data products and serve as a critical bridge between model development and production deployment. The role focuses on strengthening data operations through analytics, machine learning, and AI-driven solutions.

This is an excellent opportunity for early-career data professionals to work on impactful public-sector initiatives while gaining exposure to production-level data systems.

Key Responsibilities

• Analyze and optimize data products to improve performance and usability

• Support the transition of machine learning models from development to deployment

• Perform data analysis using Python and SQL to drive operational insights

• Assist in enhancing data pipelines and workflows using AI and machine learning techniques

• Collaborate with data scientists, engineers, and stakeholders to support scalable data solutions

Required Qualifications

• Bachelor degree in Data Science, Computer Science, Statistics, Engineering, or a related field

• Strong skills in Python for data analysis and modeling

• Proficiency in SQL for querying and managing datasets

• Understanding of machine learning and AI concepts

• Strong analytical and problem-solving abilities

Benefits & Work Environment

• Comprehensive health insurance coverage

• Retirement plans and long-term financial benefits

• Telework opportunities (subject to agency policy)

• Stable role within a mission-driven federal organization