• Support the development of AI/ML solutions, including NLP and Generative AI use cases • Contribute to building systems such as chatbots, voice bots, and RAG-based solutions • Assist in developing predictive models using historical data and machine learning techniques • Help evaluate and compare model performance using appropriate metrics • Collaborate with data engineers and developers to deploy models into production environments • Participate in building proof-of-concepts and transforming them into scalable solutions • Work closely with cross-functional teams to understand business needs and translate them into data-driven solutions

Drive strategic data science initiatives that impact business outcomes, lead end-to-end machine learning projects, and collaborate across teams to translate complex requirements into actionable insights while mentoring junior team members.

Title: Senior Data Scientist Location: Wilmington United States Job Description: Business Intelligence Senior Data Scientist Wilmington - HQ, USA Monday-Friday 8:00 am to 5:00 pm Hybrid A Business Intelligence Senior Data Scientist develops advanced analytics and machine learning models, and maintains efficient data pipelines, reporting systems, DataOps practices for CI/CD of pipelines and BI infrastructure. Collaborate with analysts and business partners to deliver scalable solutions that support analytics, reporting, and data-driven decision making. 5+ years of experience in data engineering, BI development, or analytics engineering. Some of the things you will be doing: - Implement data integration solutions for various data sources, ensuring data accuracy, consistency and completeness - Develop data quality, reconciliation and error handling frameworks to ensure data integrity - Optimize SQL and data transformation logic for performance and scalability - Document data flows, transformations and dependencies - Drive best practices in coding, testing and identify opportunities to improve processes and system reliability - Collaborate with business stakeholders to understand data requirements and translate them to scalable solutions. - Support analysts and business teams by delivering clean, structured datasets ready for visualization - Build predictive and statistical models to support forecasting, segmentation, and optimization - Implement Machine Learning and AI into Business Intelligence processes - Validate, test, and refine models to ensure accuracy and business relevance. - Analyze large, complex datasets to identify trends, patterns, and business opportunities - Support deployment and operationalization of analytics and data science outputs into Business Intelligence solutions - Understanding and knowledge of metadata management and data logs What technical skills, experience and qualifications do you need? - 5+ years of work experience - Experience supporting enterprise BI Platform & Predictive analytics - Experience in database technologies Oracle and Microsoft SQL - Extensive experience with R & Python and data modeling concepts - Understanding of data pipeline and ETL/ELT technologies - Understanding of next-gen technologies (Databricks, Snowflake, Microsoft fabric). - Proven experience in SQL performance tuning and recommend improvements for automation and maintainability. - Excellent understanding of data visualization concepts to support dashboards and reports - Ability to work both independently and in a team-oriented, collaborative environment - Strong problem solving and analytical thinking skills - Flexible and adaptable with respect to learning and understanding new technologies - Ability to effectively prioritize and execute tasks in a high-pressure environment - Excellent communication and interpersonal skills - Detail-oriented with a focus on quality and accuracy - Experience working in Agile/Scrum environments, participating in sprint planning, standups, reviews and retrospectives - Preferred - Experience working with cloud platforms such as Azure or AWS</li> - Preferred - Experience in Alteryx is an added advantage #LI-AM1 #SeniorDataScientistjobs #Hybrid #CSCCareers

Data Scientist, Mid Location: Fort Meade United States Full time Job Description: 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 analytical skills and data science knowledge to create real-world impact. 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. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: - 1+ years of experience in statistics, operations research, or advanced mathematics - Experience with R or Python - Experience using scientific methods to inform qualitative and quantitative analyses - Ability to work effectively in a collaborative and fast-paced environment - TS/SCI clearance with a polygraph - HS diploma or GED Nice If You Have: - Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management - Experience analyzing large-scale datasets - Experience with data gathering, cleansing, and parsing - Experience developing and applying optimization and simulation models - Ability to work in Windows and Linux OS environments - Bachelor's degree in Operations Research, Applied Mathematics, or Data Science 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 with polygraph 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 $77,600.00 to $176,000.00 (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.