Data Scientist, Senior
Senior
Analytics
Big Data
Bigdata
Data Analysis
Data Analytics
Data Integration
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Science
Data Visualization
Data Warehouse
Database
Databases
Ggplot2
Gurobi
Hadoop
Kafka
Mapreduce
Plotly
Reporting and Analytics
Seaborn
SQL
Technical Lead
Job Description
Senior Data Scientist role onsite in Washington, DC with Booz Allen Hamilton.
Responsibilities
- Leverage leadership and data science expertise to drive real world impact.
- Partner with clients to understand questions and needs, then explore data-rich environments to uncover relevant information.
- Guide teammates and steer the development of algorithms and systems.
- Apply the right mix of tools and frameworks to transform disparate data points into objective answers that inform client decisions.
- Provide deep data insights, explain what the data means, and advise on how it can be used.
Requirements
- At least 5 years of experience in data science, machine learning, or AI development
- At least 5 years of experience using Python for data analysis and model development
- At least 5 years of experience analyzing big data, feature engineering, and statistical modeling
- Experience with predictive modeling, classification, and anomaly detection techniques
- Experience with geospatial analysis, signal processing, or time-series forecasting
- Experience with cloud computing
- Secret clearance
- Master's degree in Data Science, Machine Learning, or Computer Science
Technologies
- Python
- MapReduce
- Hadoop
- Hive
- EMR
- Kafka
- Spark
- Gurobi
- MySQL
- Streamlit
- Plotly
- Seaborn
- ggplot2
- Cloud computing
Benefits
- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
The Opportunity
The role centers on turning complex data into useful information using IoT, ML, and AI to address global challenges across private and public sectors, including fraud detection.
Nice If You Have
- 5+ years of experience in the defense sector
- Experience with distributed data or computing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- Experience with visualization packages such as Streamlit, Plotly, Seaborn, or ggplot2
- TS/SCI clearance
Clearance
- Applicants selected will undergo a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
Salary is determined by location, education, experience, and other factors. The projected annual range is 99,000 to 225,000 USD, with the understanding that this is one component of Booz Allen's total compensation.
Identity Statement
- As part of the hiring process, you will complete an identity verification using advanced biometrics and AI to ensure authenticity and prevent fraud.
- Interviews and assessments may require you to be on camera, and Booz Allen may take your picture for identity verification.
Candidate AI Usage Policy
- AI tools are part of the work environment, but use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted.
Work Model
- Remote: Occasional in-person work at Booz Allen or a customer facility may be required.
- Hybrid: Regular work from a Booz Allen facility with possible visits to customer facilities.
- Onsite: Primarily work at a Booz Allen office or customer facility, collaborating with colleagues and clients.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or other statuses protected by law.