ClearanceJobs
Data Scientist II, AWS Cross Domain Solutions
ClearanceJobs, Washington, District of Columbia, us, 20022
Top Secret/Sci Data Scientist
Join the Pattern team in designing and implementing cutting-edge analytic solutions for operational data analysis. You'll work on developing advanced algorithms, building data visualization tools, and collaborating with other teams to enhance our data analysis capabilities. The candidate selected must obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities: Develop and implement machine learning models for complex data analysis Create data visualizations to effectively communicate insights from operational data Collaborate with security teams to refine data analysis algorithms Drive the expansion of Pattern Analytics for various use cases Generalize analysis techniques for broader data flow coverage Basic Qualifications: Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science 3+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Preferred Qualifications: Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Experience in a ML or data scientist role with a large technology company Current, active US Government Security Clearance of TS/SCI with Polygraph Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.
Join the Pattern team in designing and implementing cutting-edge analytic solutions for operational data analysis. You'll work on developing advanced algorithms, building data visualization tools, and collaborating with other teams to enhance our data analysis capabilities. The candidate selected must obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities: Develop and implement machine learning models for complex data analysis Create data visualizations to effectively communicate insights from operational data Collaborate with security teams to refine data analysis algorithms Drive the expansion of Pattern Analytics for various use cases Generalize analysis techniques for broader data flow coverage Basic Qualifications: Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science 3+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience developing experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Preferred Qualifications: Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 Experience in a ML or data scientist role with a large technology company Current, active US Government Security Clearance of TS/SCI with Polygraph Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $125,500/year in our lowest geographic market up to $212,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits.