Data Scientist

Job Description

Job Description

Data Scientist
Client: Navy Meteorology & Oceanography Command
Program: Iceberg – Single-Award IDIQ
Location: Stennis Space Center, MS – 100% onsite
Clearance: Secret; interim Secret acceptable. Program can hold up to TS/SCI, but not polygraph

The Opportunity

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 new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, we need you to help find the answers in the data.

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll 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. You'll guide teammates and lead the development of algorithms and systems. You'll 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. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

Qualifications

• 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining

• 5+ years of experience with statistical and general-purpose programming languages for data analysis

• 5+ years of experience programming in languages such as Python, R, SQL, SAS, or MATLAB

• Experience analyzing structured and unstructured data sources

• Experience developing predictive data models, quantitative analyses and visualization of targeted data sources

• Experience with distributed or big data ecosystems such as Spark, Databricks, ElasticSearch, or NiFi

• Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing

• Secret clearance

• Bachelor's degree

Nice to Have Skills

• Experience working with ADVANA, including enterprise data integration, curated layers, and mission centric dashboard

• Experience with the Maven Smart System (MSS), including analytics for C2 operations, geospatial workflows, AI/ML integration, or FMV or imagery pipelines

• Experience developing analytics or data applications in Palantir Foundry or Gotham, especially within DoD environments

• Experience with data-sources related to meteorology, oceanography, and environmental intelligence

• Experience supporting operational DoD customers such as Combatant Commands

• Experience deploying analytic or ML workflows in multi classification or secure cloud environments

• Experience with enterprise BI or visualization tools such as Tableau, Power BI, or Qlik

• Experience with visualization packages, including Plotly, Seaborn, or ggplot2