Machine Learning Engineer

$75,600 - $172,000/Yr

Booz Allen Hamilton - Washington, DC

posted 6 months ago

Part-time,Full-time - Entry Level
Washington, DC
Professional, Scientific, and Technical Services

About the position

As a Machine Learning Engineer at Booz Allen, you will have the opportunity to unlock the secrets held by complex data sets and leverage the latest advancements in machine learning and artificial intelligence. In a world increasingly driven by data, your role will be pivotal in transforming massive amounts of structured and unstructured data into actionable insights that can address global challenges. You will collaborate closely with clients to understand their specific questions and needs, diving deep into their data-rich environments to extract valuable information. Your work will involve developing algorithms, writing scripts, and building predictive analytics models, applying both machine learning and deep learning techniques to derive objective answers that support innovation and informed decision-making for military and government leaders. In this role, you will be responsible for providing clients with a comprehensive understanding of their data, elucidating its significance, and demonstrating how it can be utilized effectively. You will engage in data wrangling to cleanse data for analysis, ensuring that the data is ready for machine learning applications. Your expertise will contribute to enhancing the government's advanced analytics capabilities, ultimately driving research and development efforts. This position is not just about technical skills; it is about using data science for good, making a tangible impact in various sectors, from fraud detection to national intelligence and beyond. Join us in this exciting journey where your analytical skills can lead to meaningful change.

Responsibilities

  • Develop algorithms and predictive models to analyze complex data sets.
  • Write scripts and build predictive analytics applications.
  • Apply machine learning and deep learning techniques to derive insights from data.
  • Collaborate with clients to understand their data needs and provide actionable insights.
  • Conduct data wrangling to cleanse and prepare data for analysis.
  • Utilize various tools and frameworks to analyze structured and unstructured data.
  • Provide clients with a deep understanding of their data and its implications.

Requirements

  • 2+ years of experience in data science, machine learning engineering, data analytics, systems engineering, or software development.
  • Proficiency in programming languages such as Python, C++, Java, or R.
  • Experience working with structured, unstructured, or semi-structured data.
  • Familiarity with data wrangling techniques for data cleansing.
  • Knowledge of the software development life cycle, testing, and version control.
  • Ability to obtain a security clearance.
  • Bachelor's degree in a relevant field.

Nice-to-haves

  • Experience with distributed programming languages like Spark or Scala.
  • Familiarity with data engineering and data science tools such as Databricks, ElasticSearch, Apache NiFi, or StreamSets.
  • Experience with business intelligence tools like Tableau or Qlik.
  • Knowledge of data lakes, data warehouses, or data lake houses.
  • Experience with cloud services such as AWS, Azure, or Google Cloud.
  • Experience in building statistical models and developing machine learning algorithms.
  • Ability to design and execute machine learning models and applications.
  • Excellent verbal and written communication skills.

Benefits

  • Wellness programs with HSA contributions.
  • Paid holidays and paid parental leave.
  • Generous 401(k) match.
  • Flexible schedules and remote/hybrid work options.
  • Tuition reimbursement and professional development opportunities.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service