Job
In this role, you will develop algorithms and systems for data integration and analysis using technologies like Python and Foundry to derive actionable insights from large datasets.
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Job technologies
Your role in the team
- As a data scientist operating and supporting a four-star Army Headquarters, you'll bring your technical, computer science, data analysis, and data science expertise to collaborate, design, and build innovative solutions at an Army Service Component Command in support of operations in Europe and Africa.
- 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 artificial intelligence.
- In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities.
- On our team, you'll use your analytical skills and data science knowledge to create real-world impact.
- You'll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions.
- Letztendlich wirst du ein tiefgreifendes Verständnis der Daten entwickeln, ihrer Bedeutung und ihrer Nutzungsmöglichkeiten.
- Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
- Develop and maintain Foundry pipelines using Pipeline Builder to ingest, transform, and integrate data.
- Build modular applications and workflows leveraging Python and Foundry AIP.
- Assist in providing training to guide stakeholders in using Maven Smart System applications.
- Support testing, debugging, and performance tuning of Foundry applications.
- Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
Our expectations of you
Education
- Bachelor's degree
- Master's degree in Computer Science, Data Science, or Mathematics
Qualifications
- Ability to manage tasks and projects independently with minimal guidance and direction
- Secret clearance
- Top Secret clearance
Experience
- 4+ years of experience utilizing programming and querying languages, including Python, R, Scala, or SQL
- 4+ years of experience developing and maintaining data applications for reporting and analytics
- Experience creating workflows for retrieving, parsing, and processing structured and unstructured data
- Experience creating solutions within a collaborative and cross-functional team environment
- Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
- Experience with data visualization or geospatial tools such as Tableau, Qlik, Power BI, or ArcGIS
- Experience working within a Combatant Command or other DoW organizations
What we offer
- At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your overall well-being.
- Our offerings include health, life, disability, 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 who regularly work at least 20 hours per week are eligible to participate in Booz Allen’s benefits programs.
- Individuals who do not meet the threshold are eligible only for select offerings, excluding health benefits.
Benefits
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Booz Allen Hamilton is a leading provider of strategy and technology services for more than 100 years. Today, we offer management and technology consulting as well as engineering services for Fortune 500 companies, governments and nonprofit organizations worldwide.
- 250+ Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Consulting · Construction, Real Estate, Building Services
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