Data Scientist, Mid

Position Overview

At Booz Allen Hamilton, as a Data Scientist (Mid-level) based in San Diego, you will harness IoT, machine learning, and artificial intelligence to transform complex, structured and unstructured data into actionable insights. In this role, you’ll work closely with clients across private and public sectors to solve global challenges and drive impactful, data-driven decision making.

Key Responsibilities

• Analyze and interpret diverse data sets to identify trends and insights.
• Develop algorithms, predictive models, and quantitative analyses.
• Collaborate with clients to understand their needs and data challenges.
• Leverage machine learning, AI, and IoT techniques to optimize data use.
• Communicate findings effectively to support informed decision-making.

Required Qualifications

• 2+ years of experience with data exploration, cleaning, analysis, visualization, or mining.
• 2+ years of experience using statistical and general-purpose programming languages for data analysis.
• Experience analyzing both structured and unstructured data sources.
• Proven experience developing predictive models and quantitative analyses.
• Strong knowledge of machine learning, artificial intelligence, or natural language processing.
• Familiarity with text mining or other machine learning techniques.
• Ability to obtain a Secret clearance.
• Bachelor’s degree.

Preferred Qualifications

• 2+ years of experience in developing algorithms using R, Python, SQL, or NoSQL.
• Experience with distributed computing tools (e.g., Hadoop, Spark, MapReduce, Hive, EMR, Kafka, Gurobi).
• Proficiency with Machine Learning, AI, or NLP frameworks.
• Experience using visualization packages (e.g., Plotly, Seaborn, ggplot2) and BI tools (e.g., Power BI, Tableau, Qlik).
• TS/SCI clearance with a polygraph is a plus.
• Advanced degree in Computer Science, Data Science, or a related field is preferred.

Benefits & Perks

• Compensation: Projected range of $77,600.00 to $176,000.00 (annualized USD).
• Comprehensive health, life, disability, financial, and retirement benefits.
• Paid leave, professional development, tuition assistance, work-life programs, and dependent care.
• Recognition awards program for exceptional performance and contributions.