Data Scientist Intern – Summer 2024

Job Category: Intern/Co-opTime Type: Part timeMinimum Clearance Required to Start: NoneEmployee Type: Part-Time On-CallPercentage of Travel Required: NoneType of Travel: None* * *

CACI is seeking a summer 2024 intern for a Data Scientist opportunity.The position will be remote with core hours from 9 a.m. – 5 p.m.While the position is remote you will need to be located in the Reston, VA area for team and summer internship events/activities.

What You’ll Get to Do:

• Join the Enterprise Digital Transformation and Analytics Team focused on corporate AI predictive projects.
• Develop custom solutions to help the businesses drive growth and optimize business efficiency.
• Develop innovative solutions driven by exploratory data analysis using multiple datasets and leveraging machine learning technologies and advanced techniques. 
• You will bring your expertise, curiosity, innovation, and customer centric approach to employ a variety of programming languages and tools for data integrations, transforming the data into database views and creating custom, repeatable predictive models.  
• You will be part of a collaborative team working on various tasks such as developing machine learning models, leveraging large language models, analyzing data sets, and creating data visualizations.
• In addition, you will leverage the capabilities of AWS and the data analytics services to include the use of Amazon Athena, Amazon Redshift, Amazon Glue, etc. along with other related toolsets.
• Responsible for innovative data and business solutions by applying your knowledge of statistics, machine learning, programming, data modeling, visualization, and advanced mathematics to recognize patterns and identify opportunities. 
• As part of the customer centric methodology, you will work directly with senior customers to understand the business, processes and how the data is used for decision activities and pose business questions to help drive data discoveries, data design, and prototypes. 
• Use an agile, analytical approach to design, develop, and evaluate descriptive and predictive models and advanced algorithms on both structured and unstructured data.
• Generate and test hypotheses and derive patterns, trends, and correlations.   
• Build repeatable machine learning systems to automate predictive models. 
• Deploy large language models (LLMs) to drive advanced language processing and analysis tasks.
• Effectively consult and communicate with senior leaders of the results of the data models.
• Use a combination of tools in AWS, software languages, and Python libraries to develop ML algorithms to analyze huge volumes of historical data, run tests, perform statistical analyses, interpret results, and document machine learning processes.
• Be able to review data diagrams to understand entity relationships and data values that define uniqueness, analyze data to confirm relationships and identify potential data quality issues.
• Use critical thinking to assess deficiencies in existing solutions and provide recommendations for improvements.

You’ll Bring These Qualifications:

• Knowledge of using a variety of machine learning techniques: linear regression, logistic regression, random forests, gradient boosting, neural networks, natural language processing, clustering, and classification algorithms.
• Python programming experience
• Experience with machine learning and statistical libraries such as Scikit-Learn, SciPy, NumPy and Pandas; familiarity with modern deep learning frameworks, such as TensorFlow, Keras, and/or PyTorch.
• Ability to visualize and present data and results in a clear and intuitive way using tools such as Matplotlib, Plotly, Seaborn, and Jupyter Notebooks.
• Experience with SQL and other various non-SQL databases and object stores
• Experience in deploying and leveraging LLMs, including prompt engineering
• Analytical, organizational and data management skills
• Ability to conduct in-depth data analyses to assist in validating business assumptions and investigating issues.  A firm understanding of database concepts and entity relationships
• Ability to interact professionally with a diverse group of managers, and subject matter experts
• Must currently be enrolled in an undergraduate program pursuing a Data Science, Computer Science, Mathematics, Statistics, Economics or related degree
• Must be legally authorized to work in the United Stated without the need for employer sponsorship, now or at any time in the future.

These Qualifications Would be Nice to Have:

• Minimum GPA of 3.0 or higher is preferred, not required
• Previous internship/co-op or other work experience, leadership and teamwork capabilities, interpersonal communication skills, and activities (professional/community/extracurricular)

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.

Company Overview:

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. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn morehere

Since this position can be worked in more than one location, the range shown is the national average for the position.

The proposed salary range for this position is:

$36,300-$72,600