Data Scientist - Level 3
Applied Network Solutions, Inc.
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Aurora, CO
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0
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Not Applicable
Posted March 31, 2026
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
- Design and implement machine learning, data science and advanced analytical algorithms
- Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment
Commitments
Full-time
Supplemental Military Leave Pay
11 Paid Holidays
Potential for Paid Overtime
Flexible Work Schedules
Not Met Priorities
What still needs stronger evidence
Requirements
- Active TS/SCI clearance with Polygraph
- A Bachelor's degree and 10 years of relevant experience.
- A Doctorate's degree and 6 years of relevant experience.
- Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.
- Working knowledge of statistics, programing and predictive modeling
- Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
Preferred Skills
- A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
- Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.
- Working knowledge of Big Data, dataflows, and ML/AI familiarity
- Working knowledge of Jupyter notebooks
- Working knowledge of Spark
- Working knowledge of statistics, programing and predictive modeling
- Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
- Design and implement machine learning, data science and advanced analytical algorithms
Education
- (Not required) – A Bachelor's degree and 10 years of relevant experience.
- (Not required) – A Master's degree and 8 years of relevant experience.
- (Not required) – A Doctorate's degree and 6 years of relevant experience.
- (Not required) – An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
- (Not required) – Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
- (Not required) – A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
- (Not required) – Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.
Job Type
Full-time
Description
Who we are:
At Applied Network Solutions (ANS), we bring together some of the most curious minds in networking and cybersecurity. ANS was founded to disrupt the status quo . For over 20 years, our team provides expertise in network, system engineering and both offensive and defensive cybersecurity operations.
What We Do:
Our vision is for a future in which talent and customers alike come to ANS because of our reputation for delivering technical excellence, solving our nation’s toughest challenges and our ability to exceed expectations.
Why ANS:
At ANS we value the integrity of your work. We are looking for the right person to plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers. Together, let’s ensure today is safe and tomorrow is smarter.
As a Data Scientist on our team, you will: Be trusted to design and execute machine learning models and applications, document analytic results and create visualizations for client stakeholders.
Requirements:
Active TS/SCI clearance with Polygraph
A Bachelor's degree and 10 years of relevant experience. A Master's degree and 8 years of relevant experience. A Doctorate's degree and 6 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.
Desired Qualifications:
Working knowledge of Big Data, dataflows, and ML/AI familiarity
Working knowledge of Jupyter notebooks
Working knowledge of Spark
Responsibilities Include, But Are Not Limited To:
Working knowledge of statistics, programing and predictive modeling
Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
Design and implement machine learning, data science and advanced analytical algorithms
Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment
Requirements
Benefits:
ANS offers excellent compensation along with a generous benefits package to include:
Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Insurance
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance
Supplemental Whole Life Insurance
Lucrative Referral Bonus Program
Annual Allowance for ANS Swag
Potential for Paid Overtime
Flexible Work Schedules
Applied Network Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age or protected veteran status and will not be discriminated against on the basis of disability.
*Disclaimer: Salary is an open band for Indeed purposes and may not accurately represent the salary band for this position*
Full-time
Description
Who we are:
At Applied Network Solutions (ANS), we bring together some of the most curious minds in networking and cybersecurity. ANS was founded to disrupt the status quo . For over 20 years, our team provides expertise in network, system engineering and both offensive and defensive cybersecurity operations.
What We Do:
Our vision is for a future in which talent and customers alike come to ANS because of our reputation for delivering technical excellence, solving our nation’s toughest challenges and our ability to exceed expectations.
Why ANS:
At ANS we value the integrity of your work. We are looking for the right person to plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers. Together, let’s ensure today is safe and tomorrow is smarter.
As a Data Scientist on our team, you will: Be trusted to design and execute machine learning models and applications, document analytic results and create visualizations for client stakeholders.
Requirements:
Active TS/SCI clearance with Polygraph
A Bachelor's degree and 10 years of relevant experience. A Master's degree and 8 years of relevant experience. A Doctorate's degree and 6 years of relevant experience. An Associate's degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C)), data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.
Desired Qualifications:
Working knowledge of Big Data, dataflows, and ML/AI familiarity
Working knowledge of Jupyter notebooks
Working knowledge of Spark
Responsibilities Include, But Are Not Limited To:
Working knowledge of statistics, programing and predictive modeling
Use programming languages (e.g., Python, R) to manipulate and analyze large data sets
Design and implement machine learning, data science and advanced analytical algorithms
Provide statistical analysis as well as (e.g. variability, sampling error, inference, hypothesis testing, EDA, applications of linear models), data management, data mining, data modeling and assessment
Requirements
Benefits:
ANS offers excellent compensation along with a generous benefits package to include:
Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Insurance
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance
Supplemental Whole Life Insurance
Lucrative Referral Bonus Program
Annual Allowance for ANS Swag
Potential for Paid Overtime
Flexible Work Schedules
Applied Network Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age or protected veteran status and will not be discriminated against on the basis of disability.
*Disclaimer: Salary is an open band for Indeed purposes and may not accurately represent the salary band for this position*