Data Scientist

$96,600 - $220,000/Yr

Booz Allen Hamilton - Norfolk, VA

Part-time,Full-time - Mid Level

Norfolk, VA

Professional, Scientific, and Technical Services

About the position

As a data scientist at Booz Allen Hamilton, you will play a crucial role in unlocking the secrets held by complex data sets. Your work will involve leveraging the latest advancements in Internet of Things (IoT), machine learning (ML), and artificial intelligence (AI) to transform massive amounts of structured and unstructured data into actionable insights. This position is pivotal in addressing global challenges across various sectors, including fraud detection, cancer research, and national intelligence. You will collaborate closely with clients to understand their specific questions and needs, diving deep into their data-rich environments to piece together the information puzzle. Your leadership skills and data science expertise will be essential as you guide your teammates in developing algorithms and systems that provide objective answers to inform client decisions. You will utilize a combination of tools and frameworks to analyze disparate data points, ultimately delivering a comprehensive understanding of the data and its implications. This role is not just about data analysis; it’s about making a real-world impact through data science. Join us in our mission to use data science for good, as the world can't wait for innovative solutions to pressing problems.

Responsibilities

• Collaborate with clients to understand their data-related questions and needs.
• Analyze complex data sets to extract meaningful insights and inform decision-making.
• Develop algorithms and systems to process and analyze data effectively.
• Lead and mentor team members in data science methodologies and best practices.
• Utilize modern data science languages and tools to visualize and interpret data.
• Work with various data visualization tools to present findings to stakeholders.
• Implement machine learning models and AI solutions to solve specific problems.

Requirements

• 4+ years of experience in Data Science.
• 4+ years of experience as a Data Scientist or ML Engineer.
• 4+ years of experience with modern data science languages, such as Python, R, and SQL.
• 4+ years of experience with data visualization using tools, such as PowerBI and Tableau.
• Experience in machine learning or artificial intelligence, and statistical and mathematical analysis.
• Experience working in platforms such as GITLAB.
• Secret clearance is required.
• Bachelor's degree in a relevant field.

Nice-to-haves

• Experience planning, executing, and maintaining data science pipelines.
• Experience with Agile methodologies.
• Experience teaching or mentoring in Data Science.
• Experience with Cloud platforms, including Azure or AWS.
• Experience working in an international environment with military and civilian personnel.

Benefits

• Wellness programs with HSA contributions.
• Paid holidays and paid parental leave.
• Generous 401(k) match.
• Flexible schedules and remote/hybrid work options.
• Professional and leadership development opportunities, including upskilling programs and tuition reimbursement.