• Define and execute the enterprise data management strategy aligned with AI and Innovation initiatives • Design foundational data architecture including cloud data platforms, data warehouses or lakehouses, and integration layers • Build and scale the enterprise data function, including hiring and developing data architects, engineers, analysts, and stewards • Establish and operationalize data governance, data quality, privacy, security, and compliance frameworks • Integrate data from ERP, CRM, MES, WMS, and other systems into a unified, trusted analytics platform • Evaluate and implement modern data platforms and tools including cloud infrastructure, integration tools, and data management systems • Partner with business and technology teams to translate data into actionable insights and operational value • Ensure data is structured and accessible to support AI, machine learning, and advanced analytics use cases • Define KPIs to measure data quality, adoption, and business impact of data initiatives • Promote data literacy and foster a culture of data-driven decision-making across the organization • Develop disaster recovery, business continuity, and data protection strategies • Lead and promote healthy and safe work practices as required by regulatory agencies and Company policy.

Utilize data science expertise to analyze complex datasets, develop algorithms, and guide teams in delivering actionable insights. Collaborate with clients to address their data needs and support informed decision-making.

Title: Data Scientist (PhD) Location: New York - New York time type Full time Hybrid job requisition id R-01307 Job Description: Data Scientist New York, NY Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day! In this role you will: - Transition from academia to industry. - Make sense of complex marketplace data at webscale and perform noncommoditized data work. - Develop scalable statistical algorithms and predictive models to support real-time decision making in a high frequency ad marketplace. - Collaborate cross functionally with product managers, and engineers to define KPI's, evaluate A/B tests, perform casual inference, and use data to inform product decisions. - Apply the creative problem solving skills you learned in academia to business problems. - Work in a collaborative team environment with high personal accountability. We're looking for someone with: - Python fluency. - A PhD in a STEM field with a computational focus. (Both physical and social scientists are encouraged to apply.) - Mathematical and statistical fluency. (Should be comfortable with calculus, linear algebra, statistics, and numerical analysis.) - Familiarity with both llm's and classical machine learning techniques. - Excellent written and verbal communication skills. In NY, the base salary range for this role is $125,000 - $135,000. Actual compensation will be determined based on location, experience, skills, and internal equity. This role is also eligible for: - Annual performance-based bonus - Equity (NASDAQ: MGNI) - Comprehensive benefits package During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location. Perks and Benefits: - Comprehensive Healthcare Coverage from Day One - Generous Time Off - Holiday Breaks and Quarterly Wellness Days - Equity and Employee Stock Purchase Plan - Family-Focused Benefits and Parental Leave - 401k Retirement Savings Plan with Employer Match - Disability and Life Insurance - Cell Phone Subsidy - Monthly Fitness and Reimbursement Career Growth: We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs. Company Culture: Magnite's culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform. About Us The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC. Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class. Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.

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.