Be an early applicantLess than 25 applicants

Company

Original Job Post

Booz Allen Hamilton · 2 days ago

Data Scientist, Mid

San Diego, CA

Full-time

Hybrid

Mid Level

$76K/yr - $172K/yr

1+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

ConsultingCyber Security

Growth Opportunities

Insider Connection @Booz Allen Hamilton

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Work closely with clients to understand their questions and needs

Dig into data-rich environments to find pieces of information puzzles

Guide teammates and lead the development of algorithms and systems

Turn sets of disparate data points into objective answers to advise clients

Provide a deep understanding of the data and how it can be used

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.

Data ScienceData AnalyticsMachine LearningStatisticsObject-Oriented ProgrammingPythonC++JavaRData AnalysisData Set AnalysisCustomer Data PreparationData MergingData AggregationAnomaly HandlingData BalancingFeature SelectionCloud ServicesAWSAzureGoogle CloudModel InterpretationData VisualizationSecurity ClearanceData EngineeringDatabricksElasticSearchApache NiFiStreamSetsDataOps

Required

1+ years of experience with data science, data analytics, machine learning, or statistics

Experience with object-oriented programming languages, including Python, C++, Java, or R

Experience with identifying and analyzing data sets to meet customer requirements

Experience with preparing customer data for models, including merging and aggregating data, handling anomalies, balancing, and feature selection

Knowledge of Cloud services, including AWS, Azure, or Google Cloud

Ability to help interpret model results and communicate them clearly through compelling data visualizations

Ability to obtain a security clearance

Bachelor’s degree

Preferred

Experience with supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction

Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets

Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models

Experience with Agile development

Experience with CI/CD, including Git, Jenkins, and Docker

Knowledge of procedural SQL language, including PL/pgSQL

Ability to explain analytic and model findings to non-technical audiences