Note: The job is a remote job and is open to candidates in USA. Booz Allen Hamilton is a leading firm in the data science domain, seeking a Mid Data Scientist to leverage data sets for solving global challenges. In this role, you will utilize your expertise in data exploration and machine learning to provide insights and guide clients in making informed decisions based on complex data analysis.
Responsibilities
- 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
- Guide teammates and lead the development of algorithms and systems
- Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions
Skills
- 3+ years of experience with data exploration, data cleaning, data visualization, or data mining
- 3+ years of experience with statistical and general-purpose programming languages for data analysis
- Experience analyzing structured and unstructured data sources
- Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
- Experience working with AWS cloud services such as S3, EC2, Lambda, or SageMaker
- Experience with GenAI tech and MLOps
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor's degree and 3+ years of experience with data analytics, or 7+ years of experience with data analytics in lieu of degree
- Experience with the development of algorithms leveraging R, Python, SQL, or NoSQL
- Experience with JupyterHub and Jupyter Notebook
- Experience with machine learning, AI, or NLP
- Experience applying and querying SIGINT, GEOINT, OSINT, and HUMINT data sets and databases
- Experience deploying or scaling data science or MLOps workflows in AWS environments
- Experience leading a team, including projects and deliverables
- Experience leading the development of solutions to complex programs
- TS/SCI clearance with a polygraph
- AWS Certification such as Solutions Architect or Machine Learning Specialty Certification
Benefits
- Health, life, disability, financial, and retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- 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
Company Overview