Apprentice Machine Learning Testing Jobs in Mulberry, FL

The Opportunity:

As a senior data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by machine learning and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. We need you to help find the answers in the data.

On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

Join us. The world can't wait.

You Have:

• 10+ years of experience with programming languages, including R, Python, or C, and working with structured, unstructured, or semi-structured data in support of scientific or economic analysis

• Experience designing, developing, or leveraging relational database management systems (RDBMS) such as PostgreSQL or MS SQL

• Experience creating software for retrieving, parsing, and processing structured and unstructured data and developing scalable ETL/ELT workflows for reporting and analytics

• Experience programming or coding mathematical models and building workflows

• Experience with data visualization tools and best practices

• Knowledge of the Software Development Life Cycle, testing, and version control

• Ability to cleanse data, develop scripts and programs for converting various types of data into usable formats, and support project team to scale, monitor, and operate data platforms

• Ability to work in a cross-functional team, prioritize multiple work tasks, and deliver products on time and to quality standards

• TS/SCI clearance

• Master's degree

Nice If You Have:

• Experience supporting DoD organizations

• Experience using and deploying machine learning algorithms, including natural language processing (NLP)

• Experience with web development frameworks, including Shiny, Django, or Flask

• Experience with data lakes, data warehouses, or data lake houses

• Experience with cloud services, including AWS or Azure

• Experience working in an Agile development environment collaborating with Application Developers, Infrastructure Engineers, and stakeholders

• Experience with CI/CD, including Git, Jenkins, and Docker

• Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka

• Experience with NoSQL implementation using MongoDB or Cassandra

• Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.