Data Scientist

Acucyber, LLC

Charleston, SC, United States

25 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Application Programming Interfaces (APIs) Systems Engineering Spreadsheets Cloud Computing Cloud Computing Security CompTIA Security+ Extract Transform Load (ETL) Data Mining Apache Hadoop Information Security Management Python (Programming Language) Machine Learning

+12 more

NoSQL NumPy Cloudera Systems Integration Web Applications Jupyter Notebook Private Cloud Environment Data Processing Scripting Pandas Network Server Programming Languages

Job description

acuCyber is hiring for a Data Scientist to support a classified program by transforming complex, high-volume, and mission-relevant data into actionable insights that improve operational planning, system performance, and government decision-making. The Data Scientist works with mission analysts, systems engineers, software developers, cybersecurity personnel, and program stakeholders to identify analytical requirements and develop data-driven solutions throughout the program lifecycle. This position is responsible for acquiring and preparing data, conducting exploratory and statistical analysis, developing and validating predictive models, and communicating findings through clear visualizations, technical reports, and decision-support products. The Data Scientist applies statistical, machine-learning, and data-mining techniques while ensuring that classified and sensitive data is handled in accordance with applicable security requirements, program policies, and approved system configurations.

Requirements

Active TS/SCI Clearance
Bachelor’s Degree
3-10+ years of professional experience with data science
Experience with software integration or testing, including analyzing and implementing test plans and scripts.
Experience with frequent scripting language use, such as Python and R and using packages commonly used in data science applications or advanced analytics
Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives.
Experience applying Structured Query Language (SQL), Non Structured Query Language (NoSQL), Application Program Interface (API) Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index.
Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity.
Experience applying complex mathematical and statistical concepts.
Experience applying statistical and operations research methods and tools.
Experience employing spreadsheets for data manipulation and visualization.
Relevant industry certification such as CompTIA Cloud Essentials/Microsoft Technical Associate (MTA)/Certificate of Cloud Security (CCSK)/CompTIA A+/CompTIA Security+/EMC Data Science Associate (EMCDSA)/Cloudera Certified Data Scientist (CCDH)/Certified Apache Hadoop Developer (HCAHD) (Hortonworks)/Certified Information System Security Professional (CISSP)/Certified Cloud Professional (CCP) (Cloudera)/Microsoft Certified Professional Developer (MCPD)/Microsoft Certified Solution Developer (MCSD)/Microsoft Certified Solution Expert (MCSE)/Private Cloud/Certified Administrator for Apache Hadoop (CCAH) (Cloudera), * Master’s Degree
CI Poly