Cyber Risk Management Data Scientist Location: Alexandria, VA, United States Job Description: Full time job requisition id R0238841 The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help 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, we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact for the Department of Defense (DoD) with Cyber Risk Management. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. This is an onsite position in a SCIF working on a high impact project in a dynamic and collaborative team environment. In addition to strong technical skills, we are looking for a strong self‑starter mindset. You need to be comfortable navigating ambiguity, independently driving tasks forward, and proactively seeking out information. Early responsibilities will be centered around drafting and managing the documentation needed to enable future analytics, including DSAs, appointment letters, data memorandums, and similar documents. There’s also a need to develop clear and thoughtful use cases that reflect the operational needs of your client. You will be a critical element in a high performing team with backgrounds ranging from military operations, cybersecurity, strategic policy, operations research, and acquisition program management. Work with us as we use data science for good. Join us. The world can’t wait. You Have:   - 6+ years of experience with Python, PySpark, SQL, and Databricks - 4+ years of experience with data engineering and analytics, delivering actionable insights and performance metrics - Experience building and maintaining automated ETL pipelines leveraging API integrations to efficiently ingest, transform, and deliver data across systems - Experience extracting and structuring information from unstructured sources such as reports and documents, into clean, analysis‑ready data - Experience mentoring junior analysts - Ability to communicate complex technical concepts clearly and effectively to both technical teams and executive stakeholders - Ability to travel up to 25% of the time - TS/SCI clearance - Bachelor’s degree Nice If You Have:   - Experience using DoD data platforms such as Advana, Qlik, and Maven, for data integration, ingestion, and visualization - Experience documenting data analytics processes and maintaining reproducible analytic methods - Experience engaging data owners to establish sharing agreements that enable the establishment of data pipelines - Experience applying machine learning or natural language processing to operational or intelligence data - Experience with DoD and Intelligence Community data ecosystems and collaboration with interagency partners - Experience developing data governance frameworks and standards - Knowledge of cybersecurity data and analytics Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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. 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, whether it occurs in person or virtually. 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 facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or 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.

Title: HR Data Scientist Location: Exton, PA, US Workplace: Human Resources Department: Colleague Technology and Analytics (80000888) Job Description: Location: Hybrid, Exton, Pennsylvania   Position Summary:   As we progress through an HR transformation and the implementation of Workday, we are looking for someone who can turn our people data into the predictive intelligence that drives smarter workforce decisions at every level of the business.   You will transform workforce, financial, and organizational data into actionable insights that drive business decisions. Acting as a strategic partner to HRBPs and business leaders, you will connect people data (HC, ERC, skills, performance) with financial outcomes and business strategy to optimize workforce planning, cost efficiency, and organizational performance. This role has a strategic emphasis on: Forward-looking insights (predictive & scenario modeling), Business decision support, Storytelling and influence.   This role is ideal for someone who sees a gap between what the data says and what the business believes, and who has the curiosity and confidence to close that gap.   Responsibilities:   - Strategic Consulting & Advisory - Partner with HR leaders to focus the team on the highest‑value questions and translate business challenges into problems and hypotheses. - Provide high-level executive briefings, offering strategic recommendations that influence talent strategy, workforce planning, and organizational design. - Integrate insights across the HR team to provide a single, coherent view of the workforce ecosystem. -  Advanced Analytics & Predictive Insights - Develop and deploy predictive models to address critical business questions such as turnover forecasting, skills gap analysis, workforce demand planning, and high-performer identification. - Apply advanced analytics and AI-powered tools to uncover trends, predict future outcomes, and provide data-driven recommendations. - Research and identify benchmarking, best practices, and market trends. - Ensure regular, accurate, and timely delivery of workforce analytics and reports to HRBPs, Finance, and business stakeholders. - Provide clear trend analysis and forward-looking insights that enable stakeholders to better interpret data, identify risks and opportunities, and take informed actions. - Tailor outputs to audience needs, ensuring relevance, clarity, and impact in decision-making. - Establish enterprise standards ensuring reporting and dashboards consistently surface insights tied to priority business outcomes. - Data Storytelling & Visualization - Develop storytelling methodologies that transform complex data into clear, compelling narratives that resonate with executive leadership and drive strategic action. - Design and build advanced visualization and reporting tools, including intuitive, actionable dashboards in platforms like Microsoft PowerBI - Present analytics results with a strong focus on data storytelling and actionable insights for internal clients. - Present insights to senior stakeholders in a compelling, decision-oriented way including Power point, regular reports and similar - Technology Mastery & AI Adoption - Possess deep expertise with HRIS platforms, particularly Workday and SAP SuccessFactors, including advanced reporting, dashboards, and Workday reporting/People Analytics and Prism. - Manage data extraction and wrangling from multiple systems, ensuring data quality, real-time exchange, and access. - Champion AI literacy and data fluency within the HR team and across the organization. - Data Governance, Privacy & Ethics - Adhere to and enforce data governance standards, policies on data usage, privacy, and security. - Monitor analytics practices and AI-generated outputs for biased outcomes, ensuring fairness and compliance with global data privacy regulations (e.g., GDPR). - This is a full-time, individual contributor role expected to work 40 hours per week, hybrid in our Exton, PA office. - Requires sitting or standing at will while performing work on a computer (or any other physical requirements).     Qualifications:   - Experience: - 5+ years of progressive experience in people analytics, workforce intelligence, data science, or a related analytical role, preferably within a global, complex organization. - Proven track record of translating complex data into actionable business insights and effectively influencing senior leadership. - Demonstrated experience in delivering predictive analytics models and translating outputs into business decisions. - Experience with data extraction/wrangling from multiple systems. - Experience in the technology, engineering software, or professional services industries is strongly preferred. - Technical Proficiency: - Expert-level proficiency in data visualization tools such as Microsoft PowerBI, Workday. - Strong skills in data manipulation. - Expertise or significant experience building and deploying predictive models. - Demonstrated AI literacy; ability to evaluate, validate, and govern AI-generated outputs, including generative AI tools, for accuracy, fairness, and business relevance. - Strategic & Consulting Acumen: - Exceptional business acumen, curiosity, and ability to connect people analytics directly to strategic business goals and financial drivers. - Enable data-driven culture and decision-making - A strong consultative mindset with the ability to diagnose ambiguous problems, frame analytical questions, and architect effective solutions. - High degree of organizational savvy; comfortable working with all levels of the organization. - Communication & Data Storytelling: - Exceptional communication and data storytelling skills, with the ability to present complex information to non-technical audiences in a clear, compelling, and persuasive manner. - Ability to synthesize complex data and analytics into visually appealing, easy-to-understand reporting. - Education: - Bachelor’s degree or equivalent experience in a field emphasizing data analysis (e.g., Statistics, Applied Math, Computer Science) - A Master’s degree in Data Science, Statistics, Industrial-Organizational Psychology, HR Analytics, or a related field is preferred.   What We Offer:   - A great Team and culture – please see our colleague video.  - An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction - watch this short documentary about how we got our start.  - An attractive salary and benefits package.  - A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups.  - A company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact.    #LI-HYBRID #LI-CS1 About Bentley Systems   Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle.  Equal Opportunity Employer: Bentley is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, sex, sexual orientation, gender identity, disability, pregnancy, protected veteran status, religion, national origin, age, genetic information or any other protected characteristic.  This commitment extends to all aspects of employment, including, but not limited to, hiring, placement, promotion, compensation, and training. Know Your Rights as an applicant under the law.

• Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements • Mapping decisions with requirements and be able to translate the same to developers • Identifying different solutions and being able to narrow down the best option that meets the client’s requirements • Defining guidelines and benchmarks for NFR considerations during project implementation • Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers • Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed • Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it • Understanding and relating technology integration scenarios and applying these learnings in projects • Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken • Carrying out POCs to make sure that suggested design/technologies meet the requirements.

• Design, build, validate, and maintain predictive and prescriptive models across travel, risk, and location domains • Apply statistical methods, machine learning, and experimentation to improve data accuracy, completeness, and trust • Develop domain‑specific metrics, benchmarks, and risk scoring frameworks • Translate customer problems and market needs into analytical solutions and data products • Partner with Product Managers to define value propositions, pricing inputs, and success metrics • Contribute to roadmap prioritisation based on impact, feasibility, and monetisation potential • Define data quality rules, validation logic, and anomaly detection mechanisms • Ensure alignment with privacy, consent, and ethical AI standards in regulated environments • Support lineage, explainability, and auditability of analytical outputs • Work closely with Data Engineers to ensure model‑ready, reliable data pipelines • Collaborate with Machine Learning Engineers to operationalise models at scale • Communicate insights and recommendations clearly to technical and non‑technical stakeholders