CACI

location-iconCACI

Data Scientist/Data Analyst

location-iconKey Biscayne, FL, 33149

jobtype-iconPart Time, Full Time

estimated-salary-icon$119,871 per year

dateposted-iconPosted 7 days ago

Apply Now

location-iconActively Hiring

Data Scientist/Data Analyst-TS/SCI required Job Category: Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local * * * The Opportunity: As a CACI Data Scientist/Data Analyst working at USSOUTHCOM, you will support mission-critical data analytics initiatives to improve decision-making, counter threats, and enhance partnerships. The Contractor shall perform the following tasks: * Lead data processing and analytics initiatives to create and maintain a Common Intelligence Picture (CIP) and Common Operational Picture (COP) for real-time mission awareness. * Enable effective integration across a multi-platform ecosystem, focusing on data platforms such as Advana and Maven Smart to improve data accessibility and operational efficiency. * Design, test, and manage advanced data solutions, developing and deploying analytical models that drive data-driven insights. * Work collaboratively with intelligence and operational teams to ensure mission data is accurate, timely, and accessible across all relevant systems. * Support data literacy and promote data-driven decision-making by contributing to training and adoption efforts within the command. Responsibilities: * Integrate mission-specific data to support the development of a Common Intelligence Picture (CIP) and Common Operational Picture (COP), enhancing situational awareness and decision-making. * Support data ingestion, cleaning, transformation, and storage in Advana and Maven Smart. Develop and manage ETL pipelines to ensure data accuracy, consistency, and accessibility. * Build, test, and deploy machine learning and statistical models tailored to SOUTHCOM's needs for data-driven insights, such as real-time intelligence analysis, strategic decision-making support, and operational planning. * Implement processes for data verification, tagging, and structuring to maintain trusted, secure, and high-quality data resources. Ensure that data assets meet compliance standards and organizational requirements for secure access and usage. * Work closely with internal and external stakeholders, including the Chief Data Office, intelligence teams, and operational units, to address data needs and deliver actionable insights that align with SOUTHCOM's objectives. * Utilize specialized knowledge in Advana and Maven Smart for data-driven solutions. Lead efforts to integrate new data sources into these platforms, ensuring interoperability across SOUTHCOM's data environment. * Contribute to data literacy initiatives by creating and delivering training materials for team members and partners. Promote data-driven decision-making practices within SOUTHCOM. * Develop comprehensive documentation of data processes, models, and analytical findings. Generate reports to track progress on data and AI initiatives, ensuring alignment with the SOUTHCOM Campaign Plan and Command priorities. Qualifications: Required: * Current Top Secret/Sensitive Compartmented Information (TS/SCI) Security Clearance. * Bachelor's degree in Data Science, Computer Science in Engineering, or a related field with at least 3 years of experience in data science or data engineering. Equivalent combinations of education and specialized experience, such as an Associate degree with 7 years of experience, or more than 11 years of recent specialized experience will also be considered. * Proficiency in SQL, Python, R, or similar data science and engineering languages. * Hands-on experience with DoD data platforms, specifically Advana and Maven Smart. * Strong knowledge of data management, ETL processes, and data integration best practices. Desired: * Experience with data analytics and AI in support of Geographic Combatant Command operations. * Prior involvement in data-driven decision support for Operational Planning Teams (OPTs) and similar cross-functional DoD projects. * Familiarity with cloud environments and big data platforms, including data security standards and compliance for government systems. * Proven track record of promoting data literacy and supporting data-driven organizational culture. * Experience with open-source code repository platforms (e.g., GitHub) and Natural Language Processing platforms (e.g., Hugging Face). What We Can Offer You: * We've been named a Best Place to Work by the Washington Post. * 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 - ______________________________________________________________________________ What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI takes pride in fostering a diverse and accessible culture where every individual feels supported to chart their own path. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Your potential is limitless. So is ours. Learn more about CACI here. ______________________________________________________________________________ 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. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here . The proposed salary range for this position is: $62,800-$128,600 CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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FAQ's

Find the answers for the most frequently asked questions below

Are you looking for job openings with CACI near Key Biscayne, FL, US? You'll find plenty of opportunities in nearby cities, including Falls Church, VA, Alexandria, VA, Dumfries, VA, Fairfax, VA, Herndon, VA, Manassas, VA, Vienna, VA, Leesburg, VA, Fredericksburg, VA, Warrenton, VA, Lovettsville, VA, Purcellville, VA, Baltimore, MD, Annapolis, MD, Bowie, MD, Laurel, MD, Berryville, VA, Hampstead, MD, Bladensburg, MD, Gaithersburg, MD. These locations offer remote jobs, part-time jobs, and full-time positions with CACI. Check out current job listings in these cities to discover more employment opportunities and local jobs hiring now in your area.

If you're searching for companies hiring now in Key Biscayne, FL, US, several top employers are offering a variety of job opportunities. These include U.S. Department of Defense, SAIC and more. Whether you're looking for entry-level positions, work-from-home jobs, or immediate hire roles, you'll find plenty of local job listings in Key Biscayne, FL, US.

Yes, R is a useful tool for data science, particularly for statistical analysis, data visualization, and machine learning tasks. However, Python is also widely used in the field and offers additional libraries for data manipulation and deep learning. The choice between R and Python often depends on the specific needs of the project and the individual's familiarity with each language.

A data scientist is a professional who uses statistical analysis, machine learning, and programming skills to extract insights and knowledge from large, complex datasets. They often work on projects that involve predictive modeling, data mining, and visualization to help organizations make informed decisions.

A data scientist analyzes and interprets complex data to help organizations make informed decisions. They use statistical models, machine learning algorithms, and data visualization tools to extract insights and make predictions. They also communicate their findings to stakeholders in a clear and actionable manner.

The number of data scientists is not inherently too many or too few, as the demand for data scientists is driven by the need for data analysis and interpretation in various industries. However, the supply may exceed the demand in certain regions or industries, leading to competition for positions. The optimal number of data scientists is subject to market dynamics and the availability of data-driven opportunities.

Data scientists typically earn an average annual salary of around $113,000 in the United States, according to Glassdoor data. However, salaries can vary widely depending on factors such as location, industry, and level of experience.

A data scientist analyzes and interprets complex data to help organizations make informed decisions. They use statistical models, machine learning algorithms, and data visualization tools to extract insights and make predictions. They also communicate their findings to stakeholders in a clear and actionable manner.

The question of the best country for a data scientist is subjective and depends on various factors such as job market, salary, and quality of life. However, countries like the United States, United Kingdom, Germany, Canada, and Australia are often recognized for their strong data science industries and opportunities. It's essential to research specific cities and companies within these countries to find the best fit for individual career goals.

A data scientist analyzes and interprets complex data to help organizations make informed decisions. They use statistical models, machine learning algorithms, and data visualization tools to extract insights and make predictions. They also work on developing strategies to improve business performance and solve complex problems.

A good data scientist should possess strong analytical skills, proficiency in programming languages like Python or R, and a deep understanding of statistical methods and machine learning algorithms. They should also be able to communicate complex data insights effectively to non-technical stakeholders.

Yes, a data scientist can work from home. They primarily work with data, which can be accessed remotely, and their tasks often involve analysis, modeling, and interpretation, which can be done independently. However, the specific work arrangements may vary depending on the company's policies and project requirements.