Data Scientist

Description

HDG is in search of Data Scientists. In this position, team members will be tasked with crafting and deploying techniques or analytic applications to convert raw data into actionable insights, leveraging data-oriented programming languages and visualization software. As a Data Scientist in this role, you'll play a crucial part as a team member, bolstering assured Command and Control capabilities for our DoD customer within the Navy Information Warfare Systems Command (NAVWAR).

Duties

1. Utilize data mining, data modeling, natural language processing, and machine learning to extract and analyze insights from extensive structured and unstructured datasets.
2. Visualize, interpret, and communicate data findings effectively.
3. Generate dynamic data reports.

Requirements

Qualifications:

1. Bachelor's degree and four years of professional experience in data science.
2. Relevant industry certifications include 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) in Private Cloud, and Certified Administrator for Apache Hadoop (CCAH) (Cloudera).
3. Proficiency in software integration or testing, including analysis and implementation of test plans and scripts.
4. Skilled in frequent use of scripting languages such as Python and R, and utilizing packages commonly employed in data science and advanced analytics.
5. Experience with data science, data mining, statistics, or graph algorithms to support analytics objectives.
6. Competence in 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.
7. Familiarity with programming languages and products like Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity.
8. Proficiency in applying complex mathematical and statistical concepts, as well as statistical and operations research methods and tools.

This is a contingent position expected to be in San Diego, CA. The pay range for the position will be provided at the time the position is no longer contingent.

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.