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Data Scientist - Denver, United States - Workday
Description
Data Scientist - PythonJob Category:
Science
Time Type:
Full time
Minimum Clearance Required to Start:
TS/SCI with Polygraph
Employee Type:
Regular
Percentage of Travel Required:
Up to 10%
Type of Travel:
Local
CACI's SAFFIRE team is at the forefront of developing and operating state-of-the-art of Geospatial Intelligence analysis software.
The SAFFIRE team builds and maintains an exceptionally powerful platform enabling our users to address challenging real-world problems by converting disparate data into actionable information.
The team is deeply passionate about its mission and takes tremendous pride in our work.
We work directly with operational users to design, develop, and maintain capabilities that empower analysts to create actionable intelligence from the massive volumes of Geospatial Intelligence data to give our intel and combat organizations the decision advantage over our near-peer adversaries.
What You'll Get to Do:
As a Data Scientist supporting the SAFFIRE program, you will be working closely with software developers and teams to establish a consolidated data analytics environment utilizing COTS and FOSS software.
Your role will be to collaborate on designing, developing, and implementing custom data analytic solutions and apply data visualization and statistical programming tools to enterprise data.
You will be a key member of the team, where the rubber meets the road, doing work that matters for some of the U.S.
Government's most critical missions, and utilizing the latest technologies in Cloud Computing, AI/ML, and DevSecOps.At the interview, we'd like to tell you about:
The SAFFIRE team and our mission
The SAFFIRE platform, the technologies we currently leverage, and our approach to software development
The contract, program structure, and our customers
How incredibly awesome our benefits are
You'll Bring These Qualifications :
5+ years experience in data engineering and cloud data processing services (AWS Cloud)
Excellent programming skills in Python
Experience working in Databricks/Jupyter notebooks
Strong analytical and problem-solving skills
Effective communication skills
These Qualifications Would Be Nice to Have:
AWS Certification (Developer, DevOps and/or, Architect, etc.)
Security+ Certification
Experience with cloud-based data platforms/databases like ElasticSearch
Experience with Big Data ingest and processing technologies (e.g. ETL, Hadoop, Elasticsearch for Hadoop, SQL schemas and queries, Kafka, Spark)
Experience with development in microservice based architectures
Knowledge of Neural nets and deep learning model
Knowledge of and experience with Geospatial data and technologies
What We Can Offer You:
Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives
We offer competitive benefits and learning and development opportunities
We are mission-oriented and ever vigilant in aligning our solutions with the nation's highest priorities
For over 60 years, the principles of CACI's unique, character-based culture have been the driving force behind our success
Company Overview:
At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers.
CACI is an Equal Opportunity/Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.
Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. Employment benefits include health and wellness programs, income protection, paid leave and, life insurance, retirement and savings.The proposed salary range for this position is:
$82, $172,400.00
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