Data Scientist with Python and SQL

Requirements

Must have:

- Experience in data exploration, data cleaning, data analysis, data visualization, data science, or data mining - Proficient in statistical and general-purpose programming languages for data analysis, including Python, R, or SQL - Skilled in creating ETL pipelines, querying APIs, cleaning and conditioning data, and designing schemas for data storage - Familiar with version control tools such as Git, GitLab, GitHub, or Bitbucket - Knowledgeable in statistical analysis, predictive modeling, and machine learning techniques - Ability to design and develop automated analytical software, techniques, and algorithms - Experienced in using data visualization tools, including commercial software like Tableau or Power BI, or open-source libraries such as seaborn, matplotlib, or ggplot - TS/SCI clearance is required - Bachelors degree in a relevant field

Responsibilities:

- Utilize analytical skills to create meaningful solutions that have a real-world impact - Collaborate closely with clients to comprehend their questions and requirements - Dive into rich datasets to help assemble their information puzzles - Work alongside a team to develop algorithms and systems - Use a variety of tools and frameworks to convert disparate data points into clear insights - Provide a thorough understanding of data, its implications, and practical applications

Company:

At Booz Allen, we are passionate about unlocking the potential of data to address global challenges across various sectors, from fraud detection to cancer research and national security.

We offer a comprehensive benefits package that supports both your professional development and personal well-being, including health, life, and retirement benefits, as well as paid leave and tuition assistance. Our commitment to a flexible work culture allows you to collaborate effectively, whether in-person or remotely, ensuring that you can thrive in your role. Join us as we harness data science for good, and help us make a difference in an increasingly connected world.