Role Description The Principal Mitigation Scientist is responsible for driving Mercury’s evolving understanding of how patterns of home hardening and community scale fuel treatment influence wildfire entry, spread, and loss outcomes at the community level. The successful candidate will serve as the founding architect for the Mercury Mitigation Model working closely with the Sr. Director of Climate and Catastrophe Science and partners across Climate and Catastrophe Science, Underwriting, R&D, Pricing, Product, and Reinsurance. This role requires deep expertise in community scale wildfire and WUI/urban fire behavior, including: - Wind, topography, wildland and urban fuels - Design and evaluation of fuel treatment (natural and urban fuels) - Expertise in home hardening programs - Hands-on experience with operational wildfire models - Fire-pathway analysis to quantify how specific mitigation patterns change loss outcomes Working as part of a multidisciplinary team, the successful candidate will translate mitigation science into strategy that shows up in Mercury’s models, rate structures, underwriting rules, reinsurance analyses, and community commitments. Qualifications - Minimum: A combination of education and experience in Wildland Fire Science, Fire Protection Engineering, Forest or Ecosystem Science, Atmospheric Science, Civil/Environmental Engineering, Applied Physics, Applied Mathematics, Computer Science, or a closely related field - Preferred: Ph.D. with an emphasis in high resolution fire behavior modeling Requirements - Minimum: 10 years or equivalent combination of education and experience; advanced degrees may substitute for a portion of professional experience - Preferred: 15 years + Ph.D. - Expertise applying community scale wildfire and WUI/urban fire behavior - Expertise designing, evaluating, or operating fuel treatment and home hardening programs - Demonstrated proficiency applying operational wildfire models - Experience within an insurance, reinsurance, catastrophe modeling, utility, or public sector mitigation environment - Proven ability to translate complex mitigation and fire behavior science into actionable frameworks - Clear, concise communication skills - Demonstrated proactive mindset with experience in strategic planning - Proven to be a highly motivated, critical thinker with strong problem-solving skills - Demonstrated passion for building mitigation-forward capabilities - Evidenced commitment to ongoing learning on the latest wildfire/WUI research - Strong collaboration orientation - Preferred: Experience working with large-scale weather, climate, and hazard datasets - Experience with catastrophe modeling platforms - Experience developing statistical and scenario-based modeling - Programming and data analysis skills using Python and/or R - Experience with modern data and modeling tooling - Experience with advanced modeling techniques including artificial intelligence - Direct experience in catastrophe risk management Benefits - Competitive compensation - Flexibility to work from anywhere in the United States for most positions - Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) - Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) - Medical, dental, vision, life, and pet insurance - 401 (k) retirement savings plan with company match - Engaging work environment - Promotional opportunities - Education assistance - Professional and personal development opportunities - Company recognition program - Health and wellbeing resources Company Description At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it. Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: None TRAVEL: Yes, 10% of the TimeDescription At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Insights & Intelligence (i2) is seeking a Data Scientist to join Northrop Grumman’s Finance AI & Analytics organization. This position will support the Business Management function, and the selected candidate will report to the Manager, Finance AI & Analytics. The location for this position is Falls Church, VA with the opportunity for a 100% virtual/telework arrangement. At Northrop Grumman, Finance AI & Analytics is a core domain within our Insights & Intelligence (i2) organization. As part of our Chief Information & Digital Office (CIDO), i2 works with all enterprise domains and businesses to drive our data, analytics & AI transformation. Insights and Intelligence (i2) Solutions is a team of data scientists, behavioral research scientists, insight analysts, data engineers, and technologists who use science to drive insight and data strategy within the business. As a member of Finance AI & Analytics, you will be responsible for guiding the organization with strategic analysis and providing meaning behind data. As a data scientist, you will be responsible for developing and scaling models to approximate our complex business and potential future scenarios to ultimately help answer “what if…?” questions. You will be curious, detail-oriented, and ethically conscious. You are a creative problem-solver who can determine appropriate methodologies to apply to unique data applications. You think architecturally about the business management domain to comprehensively solve Enterprise problems at scale. You want to drive positive change and are candid and collaborative in taking on our most difficult analytics projects as well as the process and culture changes that accompanies them. Responsibilities: - Develop statistical and machine learning models with a modeling & simulation lens to help quantify and reduce future uncertainty across various scenarios - Build well-structured and understandable code to enable smooth collaboration across the team and successful model deployment - Serve as a trusted technical expert who can offer informed guidance on methodology or technology decisions and communicate core requirements to our technology teams - Mentor junior team members by providing guidance on best practices in data science - Stay abreast of industry trends and methodologies and contribute innovative ideas to drive business value Basic Qualifications: - PhD with 1 years of related professional experience OR Master’s degree and 3 years of related professional experience OR bachelor’s degree and 5 years of related professional experience - Must have deep foundational knowledge of statistical modeling and machine learning concepts - Must have expertise with Python (at least 4 years) - Must have proficiency with data transformation using SQL or similar data querying language - Must have experience using version software control (e.g. git) with a team of collaborators - Must have experience using cloud-based data science tools – i.e. AWS, Azure, DataBricks, Spark/PySpark - Fluency in translating business problems into questions that can be answered via analytic methods - Experience collaborating on projects with multiple teams, managing relationships, and communicating findings to audiences Preferred Qualifications: - Degree in a quantitative field (engineering, mathematics, statistics, computer science, etc.) is preferred - Experience with Monte Carlo simulation, time series modeling, or probabilistic modeling - Proven experience putting models into production - Experience interfacing and presenting to executive audiences - Experience with finance- or business management-related data Primary Level Salary Range: $113,900.00 - $187,900.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs. What You'll Do - Independently partner with business stakeholders to understand complex operational challenges, build domain context, and frame analytical approaches — without predefined solutions or heavy direction - Perform deep exploratory data analysis across payment operations, chart review workflows, and customer performance metrics to diagnose root causes and identify optimization opportunities - Build and maintain dashboards and reporting infrastructure that give leaders real-time visibility into operational and financial performance - Conduct business reviews including month-to-month bridges, waterfall analyses, and price-volume-mix decompositions to explain performance variance - Use LLMs and AI-assisted tools (e.g., Claude, GPT) for data exploration, pattern identification, and accelerating analytical workflows - Translate ambiguous business questions into structured analytical approaches with clear, actionable recommendations - Work with both models and querying to understand problems — diagnosing first, then standardizing and building scalable solutions - Partner cross-functionally with Product, Data Science, Engineering, and Operations teams to deliver analytics-ready solutions - Build foundational data assets — base data sets, aggregates, and pipelines — required for robust reporting and insight generation What You Bring - 4-6 years of experience in business analytics, quantitative consulting, economics, or a related analytical role - Strong proficiency in SQL and Python for data manipulation, analysis, and visualization - Demonstrated ability to independently diagnose complex business problems through exploratory data analysis — comfortable working without predefined solutions - Experience with BI/visualization tools (e.g., Power BI, Tableau, Looker) and building dashboards for business stakeholders - Familiarity with LLMs and AI tools for data analysis — comfortable using AI-assisted workflows to accelerate insight generation and excited to push the boundaries of what's possible - Degree in a quantitative field (e.g., Economics, Statistics, Operations Research, Data Science, Engineering, or related discipline) - Strong communication and storytelling skills — ability to work directly with senior stakeholders and present complex findings clearly to both technical and non-technical audiences - Experience working with large-scale data warehouses (Databricks, Snowflake, BigQuery, or similar) - Consulting mindset: ability to quickly build business context in unfamiliar domains, structure ambiguous problems, and deliver actionable recommendations - Curiosity, growth mindset, and excitement about learning new areas — including healthcare, LLMs, and GenAI - Comfort operating in a fast-paced, ambiguous environment and balancing short-term deliverables with longer-term strategic work Nice-to-Haves - Background in management consulting or strategic advisory (McKinsey, BCG, Bain, Deloitte, or similar) - Economics background with understanding of causal reasoning and business impact measurement - Experience in healthcare, payment integrity, or health insurance operations (or strong aptitude for quickly learning complex regulated domains) - Experience with financial modeling and simulation — quantifying the impact of operational changes - Familiarity with event-stream analytics and user behavior analysis - Experience with dbt, Airflow, or similar data pipeline tools What We Offer - Work from anywhere in the US! Machinify is digital-first. - Top Medical/Dental/Vision offerings - FSA/HSA - Tuition reimbursement - Competitive salary, 401(k) with company match - Unlimited PTO - Additional health and wellness benefits and perks - Flexible and trusting environment where you’ll feel empowered to do your best work The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks. Equal Employment Opportunity at Machinify We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/

• Define and lead analytical projects that influence product direction, business strategy, and clinical impact • Develop predictive models and behavioral analyses that help identify which clinicians are using MDCalc, how they engage with clinical tools, and how usage patterns evolve across specialties, care settings, and patient conditions • Analyze large and complex healthcare datasets, including clinician engagement, product usage patterns, and provider behavior, to uncover patterns, opportunities, and actionable insights • Design and implement robust data pipelines, workflows, and dashboards that scale with MDCalc’s growth • Partner with product managers, engineers, and clinical experts to translate data into product requirements and measurable outcomes • Establish experimentation frameworks and lead A/B testing to optimize product performance • Set standards for data integrity, reproducibility, and quality, ensuring confidence in insights across the organization • Act as a thought partner for leadership, communicating findings and recommendations clearly to drive strategic decisions