Senior Data Scientist & MLOps Engineer (DS3)

Wyetech, LLC; Maryland; Presencial; USD 150 000 - 203 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

PTO 200 hours/yr

Medical Options

Vision and Dental

Resumo da oferta

Wyetech, LLC is seeking a Senior Data Scientist / MLOps Engineer (DS3) to develop scalable analytics and automate data workflows for mission-critical objectives. The role focuses on transitioning ML models into production and improving analytical efficiency.

You will collaborate with software and cloud teams to deliver scalable solutions, evaluate emerging ML technologies, and guide multiple concurrent initiatives in a federally-focused environment.

Qualificações

• Experience designing, training, evaluating and deploying ML models.
• +

Responsabilidades

• Develop ML/statistical, data mining and graph-based algorithms.
• Collaborate with SMEs to extract info from structured and unstructured data sources.
• Develop feature vectors and optimize model parameters.
• Translate customer requirements into analytical models and prototypes.
• Design tests/experiments to support data-driven decisions when data is limited.
• Produce data visuals and reports to communicate findings.
• Lead multiple analytical development efforts and provide technical direction.
• Transition prototype analytics into scalable production systems.

Conhecimentos

Data science

MLOps

Model deployment

Python

R

SAS/MATLAB

Feature engineering

Experimentation

Formação académica

Bachelor's degree in quantitative discipline

Master's degree in quantitative discipline

Doctoral degree in quantitative discipline

Additional 4 years qualifying experience in lieu of degree

Ferramentas

Python

R

SAS

MATLAB

Descrição da oferta de emprego

Wyetech, LLC is seeking a Senior Data Scientist / MLOps Engineer (DS3) to develop scalable analytics and automate data workflows for mission-critical objectives. The role focuses on transitioning ML models into production and improving analytical efficiency.

You will collaborate with software and cloud teams to deliver scalable solutions, evaluate emerging ML technologies, and guide multiple concurrent initiatives in a federally-focused environment.