• Design experiments and evaluate model behavior • Build data workflows and reason about data-driven decisions • Contribute to cutting-edge AI research and collaborate with top industry labs • Analyze datasets and communicate findings clearly

• We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. • Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. • Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. • Take end-to-end ownership of client problems.

• Design, develop, and deploy production-ready machine learning models through real-time API integrations, contributing to enterprise-scale AI solutions that directly impact patient care and healthcare delivery across Labcorp's global diagnostic operations. • Apply cutting-edge Generative AI techniques to solve complex healthcare and business challenges, working alongside experienced data scientists to implement state-of-the-art AI capabilities that enhance diagnostic workflows and operational efficiency. • Participate in the full lifecycle of AI solution delivery—from data exploration and model development to integration, testing, and monitoring—while gaining hands-on experience with enterprise-level machine learning infrastructure and best practices in a healthcare setting.

Description About the Role As a Senior Data Scientist at NinjaOne, you will play a critical role in accelerating business growth by applying advanced analytics and machine learning. You'll work at the intersection of data, product, and go-to-market teams to build predictive models, experimentation frameworks, and actionable insights that directly influence revenue, customer acquisition, retention, and operational efficiency. This role offers the opportunity to own high-impact initiatives end-to-end. Drive problem framing, model development, production deployment and business adoption while working on large-scale, real-world data in a fast-growing, product-led organization. If you're motivated by solving complex problems, shipping production ML, and seeing your work drive measurable business outcomes, this is a chance to make a massive impact at scale. Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option. We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on Java , Kotlin, C++, Golang and Postgres ; supporting millions of user endpoints and running as a scalable cloud service in AWS . Knowing large-scale datastore bottlenecks, asynchronous application design and client-server architecture will help you. What You'll be Doing Design, build, and deploy advanced analytical models to drive insights and decision-making across sales, marketing, customer support, and product teams. Develop predictive models for forecasting, churn, lead scoring, pipeline health, customer lifetime value, and usage-based segmentation. Partner closely with stakeholders to translate business questions into data science problems, metrics, and experimentation strategies. Build scalable data pipelines and feature engineering workflows to support model training, inference, and real-time analytics. Create experimentation frameworks and run A/B tests to optimize marketing campaigns, product features, and support workflows. Implement causal inference and attribution models to measure campaign effectiveness and product adoption drivers. Lead data quality, validation, and governance efforts to ensure high trust in analytical outputs. Mentor junior data scientists and analysts, establishing best practices for modeling, experimentation, and documentation. Collaborate with engineering and operations teams to productionize models and embed intelligence into core business systems. Other duties as needed About You Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or a related quantitative field. 10+ years of experience applying data science, machine learning, and advanced analytics to business and product problems. Expert proficiency in Python and SQL for data analysis, modeling, and production ML workflows. Strong foundation in statistical modeling, machine learning, experimentation, and causal inference. Hands-on experience deploying and operating production ML systems in cloud environments (AWS, Azure), including MLOps best practices. Experience that will make you a standout candidate: Previous experience working with large-scale data pipelines and machine learning models. Mastery of Generative AI and Deep Learning frameworks. About Us NinjaOne unifies IT to simplify work for more than 35,000 customers in 140+ countries. The NinjaOne Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience at work. NinjaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years. What You'll Love We are a collaborative, kind, and curious community. We honor your flexibility needs with full-time work that is hybrid remote. We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance. We help you prepare for your financial future with our 401(k) plan. We prioritize your work-life balance with our unlimited PTO. We reward your work with opportunity for growth and advancement. Additional Information This position is NOT eligible for Visa sponsorship. *Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO. For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position is $140,000 - $200,000 per year. For roles based in New York, the base salary hiring range for this position is $140,000 - $200,000 per year. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment. #LI-KS2 #LI-Remote #LI-Hybrid #BI-Remote