Lead Data Scientist, Technology

Job DescriptionThe Lead Data Scientist is responsible for designing, developing, and deploying production-ready data science and machine learning solutions that drive measurable business outcomes. This role operates as a senior individual contributor and technical lead, partnering closely with business, data, engineering, and platform teams to translate complex problems into scalable analytical solutions.The position owns the full lifecycle of modeling initiatives, from problem definition and model development through deployment, monitoring, and continuous improvement. This role also helps establish standards, best practices, and repeatable patterns to mature enterprise data science capabilities.ResponsibilitiesDesign and develop statistical, machine learning, forecasting, and optimization modelsApply techniques such as regression, classification, clustering, time series, and anomaly detectionTranslate business problems into scalable analytical approaches and measurable outcomesEvaluate model performance, accuracy, stability, and business impactLead models from concept through production deployment and ongoing optimizationPartner with engineering teams to operationalize models into applications and workflowsDefine and support model lifecycle processes, including versioning, monitoring, and retrainingBuild reusable, maintainable, and well-documented modeling pipelinesMonitor model performance, drift, and usage; troubleshoot production issues as neededCollaborate with stakeholders to define objectives, constraints, and success metricsIdentify and prioritize high-value data science opportunitiesCommunicate results, assumptions, risks, and recommendations clearly to technical and non-technical audiencesSupport adoption by ensuring outputs are actionable, interpretable, and aligned to business needsPerform exploratory data analysis to identify patterns and opportunitiesAssess data quality, completeness, and suitability for modelingDesign and validate features that improve model performancePartner with data teams to enhance analytical datasets and reusable data productsApply and promote best practices for reproducibility, model governance, and responsible AIEnsure alignment with enterprise standards for security, privacy, and complianceMentor data scientists and analysts on modeling techniques and production readinessLead technical and model reviews and contribute to data science standards and frameworksAdditional Knowledge And SkillsExperience with machine learning and statistical libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)Familiarity with modern data platforms (e.g., Databricks, Snowflake, BigQuery)Experience with cloud environments (AWS, Azure, or GCP)Understanding of MLOps practices (model versioning, CI/CD, monitoring, lifecycle management)Experience building reusable modeling pipelines or scalable data science solutionsFamiliarity with tools such as MLflow, Git, and workflow orchestration platformsExposure to model governance and responsible AI practicesExperience with forecasting, optimization, pricing, or operational analytics is a plusExposure to generative AI or LLM-based solutions is a plusExperience working in enterprise or matrixed environments is a plusQualifications7+ years of experience in data science, machine learning, statistics, or a related fieldAdvanced degree in a quantitative field (preferred)Proven experience developing and deploying models in production environmentsExperience leading complex analytical initiatives from problem definition through adoptionStrong proficiency in Python and/or R for modeling and production-quality codeStrong SQL skills for data exploration and dataset developmentExperience working in cross-functional environments (engineering, analytics, business teams)Ability to communicate complex concepts to non-technical stakeholdersAbout UsWith more than 225 locations worldwide, Signature Aviation is the largest global network of private aviation terminals, delivering safe, convenient, and elevated experiences to those we serve. As a premier hospitality organization and a certified Great Place to Work™, we are committed to redefining private air travel. Our nearly 6,000-strong team of aviation experts and enthusiasts is dedicated to delivering excellence to our guests and communities, and it starts with taking care of our team. Signature provides a variety of benefits, programs, and resources to support our team members’ overall well-being and professional development. We proudly volunteer and give back, focusing on elevating the neighborhoods where we operate, empowering the next generation of aviation professionals, and supporting our veterans.From your health to your financial wellness, there are several benefits for you and your family when joining Signature Aviation.Our BenefitsMedical/prescription drug, dental, and vision InsuranceHealth Savings AccountFlexible Spending AccountsLife InsuranceDisability Insurance401(k)Critical Illness, Hospital Indemnity and Accident InsuranceIdentity Theft and Legal ServicesPaid time offPaid Maternity LeaveTuition reimbursement Training and DevelopmentEmployee Assistance Program (EAP) & PerksQualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, or other protected characteristics.