Data Scientist in Laurel

• Experience with data exploration, data cleaning, data analysis, data visualization, data science, or data mining \n

• Experience with statistical and general-purpose programming for data analysis such as Python, R, or SQL \n

• Experience creating ETL pipelines, including querying APIs, cleaning and c ond itioning data, and creating schemas for data storage \n

• Knowledge of version control tools, including Git, GitLab, GitHub, or Bitbucket \n

• Knowledge of statistical analysis, predictive modeling, and machine learning met hods \n

• Ability to design and develop automated analytic sof tware, techniques, and algorithms, * Ability to use data visualization tools, including COTS sof tware such as Tableau, Power BI, or ArcGIS, or FOSS libraries such as seaborn, matplotlib, or ggplot, * Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools asso cia ted with these disciplines \n

• Experience with intelligence or operations analysis in the DoD or Intelligence Community \n

• Knowledge of DevOps, including CI / CD pipelines and Jenkins \n

• Possession of strong written and verbal communication skills \n

• TS/SCI clearance with a polygraph \n

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, , 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.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Statement

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

• \nRemote: 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. \n

• \nHybrid: 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. \n

• \nOnsite: 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. \n

\n Commitment to Non-Discrimination

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide. We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers., As a 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 IoT, machine learning, and artifi cia l 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. Across private and public sectors from fraud detection to cancer research, to intelligence, we need you to help find the answers in the data. On our team, you'll use your analytical skills to help create real-world impact. You'll work closely with 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 work with and learn from your teammates as you develop algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers so that your clients can make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait.