Data Scientist, Senior

Booz Allen; City of Langley; Sur place; CAD 140 000 - 318 000; Plein temps

Résumé du poste

Booz Allen Hamilton is seeking a data scientist to transform large data sets into actionable insights for Air Force mission solutions. You will develop data collection tools, visualizations, dashboards, and ML-based analytics while collaborating with customers to define questions and needs.

The role requires a TS/SCI clearance, a strong background in Python and ML deployment, and experience handling diverse data formats in real-world environments.

Qualifications

• 5+ years of Python-based data analysis focusing on ML and anomaly detection.
• 5+ years designing and implementing API-based data integration pipelines.
• 3+ years deploying ML models into production web apps beyond prototyping.
• 3+ years managing full lifecycle of data science and AI projects at scale.
• 2+ years working with varied data formats (text, time-series, image, signals).
• Experience with structured and unstructured datasets in operational constraints.
• Knowledge of statistics, confidence intervals, error significance, modeling, optimization.
• Ability to communicate insights to technical and non-technical audiences.
• Top Secret clearance.
• Bachelor’s degree in Data Science, CS, Information Science, or Engineering

Responsabilités

• Develop data collection tools, data visualizations, dashboards, algorithms, and scripts.
• Process data and conduct predictive analytics using ML or other approaches.
• Turn disparate data points into objective answers for decision makers.
• Collaborate with customer to understand questions and needs.
• Explain data insights and how to use them.

Connaissances

Python data analysis

Anomaly detection

EDA

API data integration

ML deployment

Data lifecycle

Statistical concepts

Communication of insights

Security clearance TS/SCI

Formation

Bachelor’s degree in Data Science, CS, Information Science, or Engineering

Outils

AWS

JIRA

Confluence

GeoJSON

WKT

Description du poste

The Opportunity:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research to national intelligence, you know the answers are in the data.

We have an opportunity for you to use your analytical skills to improve Air Force mission solutions. You’ll work closely with your customer to understand their questions and needs and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop data collection tools, data visualizations and dashboard, algorithms, and scripts to process data or conduct predictive analytics leveraging machine learning or other approaches. You’ll use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help Air Force leaders make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in aerospace mission solutions.

Join us. The world can’t wait.

You Have:

• 5+ years of experiencewith Python-based data analysis, including anomaly detection and exploratory data analysis (EDA) with a focus on machine learning and data science applications


• 5+ years of experiencedesigning and implementing API-based data integration pipelines


• 3+ years of experience integrating ML models into production web applications beyond prototyping such as Jupyter notebooks


• 3+ years of experience managing the full lifecycle of data science and AI projects at an enterprise or real-world scale


• 2+ years of experience working with varied data formats including text, time-series, image, and signals for algorithms and model training


• Experienceworking with structured and unstructured datasets in operational constraints


• Knowledgeof statistical concepts such as confidence intervals and error significance, mathematical modeling, and optimization techniques


• Abilityto communicate and share insights with both technical and non-technical audiences


• Top Secret clearance


• Bachelor’s degreein Data Science, Computer Science, Information Science, or Engineering

Nice If You Have:

• 5+ years of experiencedesigning and implementing predictive analytic models and decision-support tools for mission applications


• Experience using cloud platforms such as AWS to deploy and optimize data solutions


• Experience with Agile development tools like JIRA and Confluence


• Experience collaborating with cross-functional, multidisciplinary teams on mission-critical projects


• Knowledge of geospatial data formats such as GeoJSON and WKT or ISR workflows


• Knowledge of real-time streaming design patterns, event-driven data workflows, and data governance frameworks


• Knowledge of IC-compliant standards and processes for managing sensitive or classified data


• Possession of excellent problem-solving, analytical, and communication skills


• TS/SCI clearance

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top 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 $99,000.00 to $225,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.


• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role.


• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.