Data Scientist, Senior Lead

1 week ago

Arlington, Virginia, United States Booz Allen Hamilton Full time
About the Opportunity

We are seeking a highly skilled and experienced Data Scientist to lead complex data exploration and analytics projects for our Army clients. As a senior data researcher on our team, you will apply innovative AI and machine learning methodologies to drive real-world impact on time-sensitive data-driven decision-making and protect our military.

Key Responsibilities
  • Lead data science projects from end to end, including data architecture, cloud computing, and model operationalization
  • Develop and implement advanced data science, natural language processing, and machine learning engineering solutions
  • Collaborate with cross-functional teams to design and implement data-driven solutions
  • Communicate complex technical concepts to both technical and non-technical stakeholders
  • Stay up-to-date with the latest technologies and methodologies in data science and machine learning
Requirements
  • 5+ years of experience with engineering code in an object-oriented language, such as Python, Rust, Java, R, C, C++, C#, Go, or Haskell
  • 2+ years of experience in working with algorithms or machine learning models to produce analytical or visual products for clients
  • Ability to communicate and report findings clearly and concisely for clients
  • Secret clearance
  • Bachelor's degree in Computer Science or Computer Engineering
Preferred Qualifications
  • 5+ years of experience with implementing advanced data science, natural language processing, and machine learning engineering
  • Experience with engineering machine learning models and MLOps with Python, C++, or Java code
  • Experience working in a team environment for git, GitLab, or GitHub
  • Experience with scaling data engineering across distributed computing clusters, including Apache Nifi, Spark, Dask, Airflow, or Luigi
  • Experience with SQL and database technologies, including Elasticsearch, Solr, HBase, Accumulo, Cassandra, Neo4j, AWS DynamoDB, PostgreSQL, AWS Athena, or MongoDB
  • Ability to comprehend advanced statistics in data science for measuring and evaluating machine learning models
  • Ability to work with Dataframes, SQL utilizing Spark, PySpark, or Python Pandas as well as with data formats, such as JSON, Parquet, Avro, or CSV
  • Master's degree in Data Science, ML Engineering, or similar
  • AWS Data Analytics, Machine Learning, or Solutions Architect Certification
  • Certifications in ML engineering, cloud architecture, software engineering, web development, or data science
Clearance and Compensation

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. At Booz Allen, we offer a competitive salary and benefits package, including health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.

Work Model

We prioritize the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We are an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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