[Remote] Director, Data Science

Note: The job is a remote job and is open to candidates in USA. ScienceLogic is redefining IT operations for the modern enterprise with its AIOps platform. They are seeking a hands-on Director of Data Science to lead a high-performing data science team, architect solutions, and align AI investments with business strategy.

Responsibilities

• 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
• 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
• 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
• 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

Skills

• 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
• 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

• 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!

Company Overview