Data Scientist & ML Engineer — Data Pipelines & Models

Cymertek Corporation; Tysons (VA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Excellent Salaries

Flexible Work Schedule

Cafeteria Style Benefits

401k Matching (Vested)

Paid Leave/Holiday

Birthdays off

Medical/Dental/Vision - Employee 100%

Discretionary Life Insurance

Paid Training

Referral bonus program

Job summary

Cymertek Corporation in Tysons, VA seeks a Data Scientist / Software Engineer to drive data-driven software solutions. You will work at the intersection of data science and software engineering, building models and pipelines that extract insights from large datasets while ensuring scalable, reliable software.

The role requires a strong foundation in Python or R, ML frameworks, and data visualization, with a focus on end-to-end data solutions and collaboration across teams.

Qualifications

• Bachelor's degree in CS, Data Science or related field.
• Experience with data pipelines and ML models.
• Strong problem solving and communication skills.

Responsibilities

• Design and implement data-driven applications
• Analyze and interpret complex datasets
• Build and optimize machine learning models
• Develop and maintain data pipelines and workflows
• Collaborate with teams to translate data insights into actionable solutions
• Document and present analytical results effectively

Skills

Python/R

ML Frameworks

Data Visualization

SQL

Data Cleaning

End-to-End DS

Education

Bachelor's Degree

Tools

TensorFlow

PyTorch

Tableau

Matplotlib

SQL Databases

Job description

Cymertek Corporation in Tysons, VA seeks a Data Scientist / Software Engineer to drive data-driven software solutions. You will work at the intersection of data science and software engineering, building models and pipelines that extract insights from large datasets while ensuring scalable, reliable software.

The role requires a strong foundation in Python or R, ML frameworks, and data visualization, with a focus on end-to-end data solutions and collaboration across teams.