Senior Data Scientist - Python & Machine Learning

Requirements

Must have:

- 5+ years of experience with data science programming languages such as Python or R - Proficient in creating ETL pipelines, including API querying, data cleaning, and structuring data storage schemas - Familiarity with version control systems like git, GitLab, GitHub, or Bitbucket - Strong understanding of statistical analysis, predictive modeling, and machine learning techniques - Capable of designing and developing automated analytical software, techniques, and algorithms - Skilled in developing solutions and extending capabilities of free and open-source software (FOSS) or COTS products - Experienced in generating data visualizations using tools such as Kibana, Tableau, or Power BI - TS/SCI clearance is required - Bachelors degree plus 5+ years of data science experience, or 7+ years of data science experience in lieu of a degree

Responsibilities:

- Utilize your leadership abilities and data science expertise to make a significant impact - Collaborate closely with clients to comprehend their inquiries and requirements - Analyze data-rich environments to uncover crucial information pieces - Mentor team members and lead the creation of algorithms and systems - Employ the appropriate combination of tools and frameworks to transform diverse data points into actionable insights - Provide a thorough comprehension of the data, explaining its implications and potential applications - Advocate for the application of data science for meaningful purposes

Company:

At Booz Allen, we are dedicated to unlocking the potential of data to address global challenges. Our team offers competitive health, life, disability, and retirement benefits, along with opportunities for professional development, tuition assistance, and work-life balance programs. We appreciate our employees through a recognition awards program for outstanding performance. This position may be located remotely or require onsite interaction, depending on specific role requirements. We foster a diverse and inclusive work environment, encouraging all qualified candidates to apply.