Data Scientist, Mid

2 months ago


Norfolk, United States Booz Allen Hamilton Full time
Job Number: R0201787

Data Scientist, Mid

The Opportunity:
As data analyst, you love diving into data and turning it into meaningful insights. With the abundance of structured and unstructured data, you understand the importance of transforming complex data sets into useful information to solve challenges. As a data analyst at Booz Allen, you can use your skills and experience to support a mission and use data for good. We need a data analyst like you to bring your knowledge to enhance the capabilities of the Client.

As a client-facing data analyst on our team, you'll work closely with your clients to understand their questions and needs and then dig into their data-rich environments to find the pieces of their information puzzle. Not only will you provide a deep understanding of their data, you'll also advise your client on what the information means and how it can be used to make an impact.

How You'll Contribute:
As a data analyst on our team, you'll:

  • Contribute to the development and implementation of an enabling data science and AI capability.
  • Contribute to ML/AI initiatives with suggestions for ML approaches and implementation, including the processing of training data and performance assessment of machine learning techniques on datasets.
  • Apply existing data science techniques to new problems and datasets using specialized programming techniques to meet needs of the project and customer.
  • Evaluate the outcomes and performance of data science models. Identify and implement opportunities to train and improve models and the data they use.
  • Publish reports on machine learning model outputs to meet customer needs and conforming to agreed standards.
  • Experience of NLP, ML engineering, or computer vision.
  • Support review of data science and AI activities, processes, products or services.
  • Work in conjunction with other data professionals, software engineers and SMEs from different functional areas, as directed.
  • Support development and maintenance of data pipelines for structured and unstructured data.

Work with us to help drive large-scale business and process decisions through data insights.

Join us. The world can't wait.

You Have:

  • Experience as a data scientist or data analyst and in modern software architecture and software development
  • Experience with data science tools to support data analytics and data visualization.
  • Experience supporting data focused operations
  • Experience working in a Big Data ecosystem, with tools such as Databricks, or Spark
  • Experience agile methodologies and planning, executing, and maintaining Data Science pipelines
  • Experience with data presentation and visualization tools, such as Microsoft Power BI, Tableau, or Kibana, and visualizing data and producing high quality graphs and reports, charts, and interactive dashboards
  • Experience with machine learning and AI frameworks, such as TensorFlow, PyTorch, scikit-learn, or machine learning frameworks
  • Knowledge of Machine Learning/AI, statistical, and mathematical analysis
  • Secret clearance
  • Bachelor's degree in Data Science, AI, Applied Math, Statistics, or Physics or 2+ years of experience in data science in a professional work environment in lieu of a degree

Nice If You Have:

  • Experience working in an international environment

Clearance:
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.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $60,300.00 to $137,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes 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're 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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