Director, Data Science

About ScienceLogic… ScienceLogic is redefining IT operations for the modern enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT — where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows, and unlock performance at scale. We’re accelerating digital transformation through the power of automation, AI, and analytics — giving IT and business leaders the tools to deliver superior customer experiences, drive efficiency, and innovate with confidence. ScienceLogic is seeking a hands-on Director of Data Science who leads from the front—architecting solutions while coaching and empowering a high-performing data science team. You’ll spend roughly 60% of your time hands-on: designing models, shaping our agentic AI and ML platforms, and solving the hardest problems, and roughly 40% leading a small three person team: mentoring, hiring, performance management, and scaling the maturity of the function. You’ll partner closely with Product, Engineering, and senior leadership to align AI investments with business strategy. If you’re energized by deep technical work and growing a high-performing team in equal measure, this role is for you. What you’ll be doing… Technical Leadership & Delivery: Architect complex data science and agentic AI systems end to end, from foundational capabilities to production deployment. Personally build, validate, and deploy the highest-complexity predictive models and machine learning solutions that solve core business problems. Define enterprise-level best practices for AI/ML systems, experimentation, governance, and operationalization. Drive standards for scalability, observability, model lifecycle management, and responsible AI across the organization. Cross-Team Influence & Architecture: Architect foundational AI capabilities and shared frameworks that other teams consume, setting the standards they build against. Influence roadmap direction through technical expertise and strategic insight, translating business needs into a coherent data science agenda. Lead evaluation and adoption of emerging technologies and methodologies, solving highly ambiguous problems that span multiple systems and domains. Model Deployment & Monitoring: Partner with software engineers and DevOps to deploy models into production environments. Monitor the performance of models over time, recalibrating and optimizing them as necessary. Design and implement A/B testing frameworks to evaluate model effectiveness and impact. Team Leadership & Growth: Lead, manage, and develop an established team of three data scientists, owning their growth, performance, and career trajectories. Set technical and cultural direction across the team and influence broader organizational capability. Mentor senior technical talent, raising the bar on craft, rigor, and delivery. Grow the team through hiring—defining roles, raising the talent bar, and scaling the function as demand increases. Collaborate with Product, Engineering, and leadership to align AI investments with business strategy and communicate findings to stakeholders. Qualities you possess… 10–15 years of experience in data science, machine learning, or a related field, including demonstrated technical leadership across multiple teams or initiatives. 3–5+ years leading and growing a data science team, with a track record of mentoring and developing senior technical talent. Recognized depth in machine learning, AI systems, or advanced analytics—someone the organization turns to as an expert. Proven track record architecting and deploying machine learning models and data science solutions into production at scale. Strong experience with statistical analysis, predictive modeling, and experimentation/A/B testing. Proficiency in Python and/or R and machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Excellent communication skills—able to translate complex technical work into strategy and recommendations for senior stakeholders. As a plus, you have... Hands-on experience building agentic AI systems, LLM applications, or deep learning and NLP solutions. Experience with cloud platforms (AWS, GCP, or Azure) for data science and machine learning. Familiarity with big data technologies like ClickHouse, Spark, Hadoop, or Databricks. Strong knowledge of SQL and experience with database querying. Familiarity with data visualization tools (e.g. Tableau, Power BI, or Matplotlib). Benefits & Perks Comprehensive medical, dental and vision plans. 401(k) plan with employer match. Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize. Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization. 5-year Service Milestone Sabbatical. Paid parental leave. Generous employee referral bonus program. Pet insurance. HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays. Regular virtual company-wide events, including cooking classes, yoga, meditation and more. The opportunity to learn and develop from some of the best and brightest minds in the industry! Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying. About ScienceLogic ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation. www.sciencelogic.com