Data Scientist (ML/AI)

TL;DR

Data Scientist (ML/AI): Turning complex structured and unstructured data into actionable insights using machine learning, AI, and statistical analysis with an accent on predictive modeling, data exploration, and visualization. Focus on developing algorithms and systems to solve challenges in national intelligence, fraud detection, and healthcare.

Location: San Antonio, TX, US (Remote with possible in-person occasions at Booz Allen or customer facility). Public Trust clearance required; subject to U.S. government investigation and eligibility.

Salary: $77,500 - $176,000 (annualized USD)

Company

Consulting firm delivering data science solutions across private and public sectors to address global challenges.

What you will do

• Work with clients to understand needs and explore data-rich environments for key insights.
• Develop algorithms, predictive models, and quantitative analyses using appropriate tools and frameworks.
• Analyze structured and unstructured data sources to create visualizations and objective answers.
• Apply machine learning, AI, and text mining techniques to inform client decisions.
• Collaborate to turn disparate data into deep understanding and real-world impact.

Requirements

• 2+ years of experience with data exploration, cleaning, analysis, visualization, or mining
• 2+ years with Python or statistical programming for data analysis
• Experience analyzing structured and unstructured data
• Experience developing predictive models, quantitative analyses, and data visualizations
• Knowledge of Machine Learning, AI, NLP, or text mining
• Bachelor’s degree and Public Trust clearance

Nice to have

• 2+ years developing algorithms with Python, SQL, or NoSQL
• 2+ years with distributed tools like Hadoop, Spark, Kafka
• Experience with ML, AI, GIS, CV, NLP
• Visualization tools like Tableau, Seaborn, ggplot2
• Master’s degree

Culture & Benefits

• Comprehensive health, life, disability, financial, and retirement benefits
• Paid leave, professional development, tuition assistance, work-life programs
• Recognition awards for performance and values demonstration
• People-first culture emphasizing collaboration, virtual or in-person
• Cameras on during virtual meetings for engagement