Data Scientist (Intermediate and Senior)
Spry Methods, Inc. - Washington, District of Columbia, us, 20022
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Data Scientist (Intermediate and Senior)
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Spry Methods, Inc. Data Scientist (Intermediate and Senior)
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Data Scientist (Intermediate and Senior)
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Spry Methods, Inc. Who We’re Looking For (Position Overview:)
Spry Methods is seeking
Senior and Intermediate Data Scientists
to support national security initiatives by delivering actionable data-driven insights. You will collaborate directly with investigators and analysts to understand complex data challenges, apply advanced analytical methods, and deliver results that impact critical missions.
What Your Day-To-Day Looks Like (Position Responsibilities):
Collaborate with non-technical users to translate mission needs into data science solutions Design and lead machine learning, statistical modeling, and data analysis projects Perform ETL (Extract, Transform, Load) tasks to integrate and condition data from multiple sources Conduct exploratory data analysis and feature engineering; interpret and validate model outputs Innovate new methodologies for processing and analyzing large-scale or complex datasets Develop software to improve data search, handling, and retention capabilities Automate repetitive workflows and analysis procedures to streamline operations Prepare reports and present findings with clear, actionable recommendations
What You Need to Succeed (Minimum Requirements):
TS/SCI Clearance For Senior-Level Candidates: Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or related field High proficiency in Python and a deep understanding of data science tools and methodologies 5+ years of experience in data science or data analytics roles Proven ability to independently lead complex analytical tasks and mentor junior team members For Intermediate-Level Candidates: Bachelor’s or Master’s degree in a relevant field Basic to intermediate proficiency in Python and familiarity with data science models 2–4 years of relevant experience supporting data-driven projects
Ideally, You Also Have (Preferred Qualifications):
Preferred Experience: Experience supporting national security or law enforcement missions Familiarity with big data platforms and tools (e.g., Hadoop, Spark, Elasticsearch) Knowledge of data governance, security, and data quality standards in secure environments
Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
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