Booz Allen Hamilton is seeking an Associate Data Scientist in San Diego to analyze complex data sets and develop algorithms for client insights. The role requires strong analytical skills and experience in data science and software development.
Verified Job On Employer Career Site Job Summary: Booz Allen Hamilton is a company focused on using data science to solve global challenges. As a Data Scientist, you will analyze complex data sets, develop algorithms, and provide insights to help clients make informed decisions. Responsibilities: • Use analytical skills and data science knowledge to create real-world impact. • Work closely with clients to understand their questions and needs. • Dig into data-rich environments to find pieces of information puzzle. • Develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers. • Provide a deep understanding of the data, what it all means, and how it can be used. Qualifications: Required: • 3 years of experience with data science, data analytics, machine learning, or statistics • 3 years of experience writing software in 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 explain analytic and model findings to non-technical audiences • Ability to obtain a Secret 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 DoD information systems • Experience with Palantir products such as AIP, and Foundry • Experience with self-service analytics and visualizations tools such as Qlik, Tableau, Power Platform, or PowerBI • 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 or pgSQL • Master’s degree in Electrical Engineering, Physics, Mathematics, Computer Science, Computer Engineering, Data Science, Software Engineering or a related field Company: Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, Virginia, USA, with a team of 10001 employees. The company is currently Public Company.
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Booz Allen Hamilton is seeking an Associate Data Scientist in San Diego to analyze complex data sets and develop algorithms for client insights. The role requires strong analytical skills and experience in data science and software development.
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Booz Allen Hamilton is seeking an Associate Data Scientist in San Diego to analyze complex data sets and develop algorithms for client insights. The role requires strong analytical skills and experience in data science and software development.
PacifiCorp is seeking an Energy Supply Data Scientist I or II in Portland, OR, to provide data-driven insights for optimizing operations in the renewable energy sector. The role involves data mining, statistical analysis, and collaboration with various teams to enhance energy supply management.
IBM is seeking an Entry Level Data Scientist in Buffalo, NY, to analyze data and provide insights that drive business value. The role involves collaborating with teams to implement predictive models and communicate findings to stakeholders.
Booz Allen Hamilton is seeking an Associate Data Scientist in San Diego to analyze complex data sets and develop algorithms for client insights. The role requires strong analytical skills and experience in data science and software development.