Data Scientist III - ML & Big Data Analytics (TS/SCI)

Applied Network Solutions, Inc.; Aurora (CO); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Family Medical, Dental and Vision coverage

Pet Insurance

PTO (Paid Time Off)

Maternity/ Paternity Leave

401(k) plan with 6% Company Contribution

Generous Professional Development Program

100% Employer paid Short- and Long-Term Disability

Flexible Work Schedules

Job summary

Applied Network Solutions, Inc. is seeking a Data Scientist in Aurora, CO. The candidate will design machine learning applications, analyze data, and provide statistical insights. Requirements include an active TS/SCI clearance, a relevant degree with 6-10 years of experience, and proficiency in tools like Python and Spark. Benefits include medical coverage, a 401(k) plan, paid time off, and flexible work schedules, ensuring a supportive work environment.

Qualifications

• Minimum 6-10 years of relevant experience based on degree.
• Experience designing/implementing machine learning algorithms.
• Skill in data management, modeling, and assessment.

Responsibilities

• Analyze large data sets using Python or R.
• Design and implement machine learning algorithms.
• Conduct statistical analysis and data validation.

Skills

Active TS/SCI clearance with Polygraph

Machine Learning

Data Science

Programming (Python, C)

Statistical Analysis

Education

Bachelor's degree in relevant fields

Master's degree in relevant fields

Doctorate's degree in relevant fields

Associate's degree with additional experience

Tools

Jupyter notebooks

Spark

Job description

Applied Network Solutions, Inc. is seeking a Data Scientist in Aurora, CO. The candidate will design machine learning applications, analyze data, and provide statistical insights. Requirements include an active TS/SCI clearance, a relevant degree with 6-10 years of experience, and proficiency in tools like Python and Spark. Benefits include medical coverage, a 401(k) plan, paid time off, and flexible work schedules, ensuring a supportive work environment.