Booz Allen Hamilton · 3 days ago

Research Data Scientist

Washington, DC

Full-time

Hybrid

Entry, Mid Level

$54K/yr - $123K/yr

2+ years exp

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Responsibilities

You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle.

You’ll mentor teammates, develop algorithms, write scripts, build predictive analytics, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help federal organizations make informed decisions.

You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningData SciencePythonRData ResearchPredictive AnalyticsData ExplorationData AnalysisFeature SelectionComputer VisionNatural Language ProcessingSupervised LearningUnsupervised LearningScripting LanguagesData CleansingData Integrity VerificationProject Management

Required

2+ years of experience with machine learning, data science, software engineering, data research, or analytics in a professional or academic environment

Experience with research practices and methodologies

Experience with frequent scripting language use, including Python and R, and packages used in machine learning applications or advanced data analytics

Ability to work independently and achieve successful results with minimal guidance

Ability to articulate workflows and explain technical concepts to non-technical audiences

Ability to obtain a Secret clearance

Bachelor's degree

Preferred

Experience with machine learning applications and tools

Experience managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications

Experience with feature selection, computer vision or natural language processing model building, and optimization using supervised and unsupervised machine learning techniques to support analytic objectives

Experience in a leadership role, including project management and project evaluation

Experience performing data exploration and data analysis on multiple data types, including images, video, and text

Ability to exhibit flexibility and initiative when dealing with ambiguous and fast-paced situations