REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Lead Data Scientist, Technology
XX
Lead Data Scientist, TechnologySignature Aviation • Orlando, Florida, United States
Jetzt Bewerben
XX

Lead Data Scientist, Technology

Signature Aviation
  • US
    Orlando, Florida, United States
  • US
    Orlando, Florida, United States
Jetzt Bewerben

Über

The 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.
Design and develop statistical, machine learning, forecasting, and optimization models
Apply techniques such as regression, classification, clustering, time series, and anomaly detection
Translate business problems into scalable analytical approaches and measurable outcomes
Evaluate model performance, accuracy, stability, and business impact
Lead models from concept through production deployment and ongoing optimization
Partner with engineering teams to operationalize models into applications and workflows
Define and support model lifecycle processes, including versioning, monitoring, and retraining
Build reusable, maintainable, and well-documented modeling pipelines
Monitor model performance, drift, and usage; troubleshoot production issues as needed
Collaborate with stakeholders to define objectives, constraints, and success metrics
Identify and prioritize high-value data science opportunities
Communicate results, assumptions, risks, and recommendations clearly to technical and non-technical audiences
Support adoption by ensuring outputs are actionable, interpretable, and aligned to business needs
Perform exploratory data analysis to identify patterns and opportunities
Assess data quality, completeness, and suitability for modeling
Design and validate features that improve model performance
Partner with data teams to enhance analytical datasets and reusable data products
Apply and promote best practices for reproducibility, model governance, and responsible AI
Ensure alignment with enterprise standards for security, privacy, and compliance
Mentor data scientists and analysts on modeling techniques and production readiness
Lead technical and model reviews and contribute to data science standards and frameworks
Additional knowledge and skills:
Experience 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 solutions
Familiarity with tools such as MLflow, Git, and workflow orchestration platforms
Exposure to model governance and responsible AI practices
Experience with forecasting, optimization, pricing, or operational analytics is a plus
Exposure to generative AI or LLM-based solutions is a plus
Experience working in enterprise or matrixed environments is a plus
7+ years of experience in data science, machine learning, statistics, or a related field
Advanced degree in a quantitative field (preferred)
Proven experience developing and deploying models in production environments
Experience leading complex analytical initiatives from problem definition through adoption
Strong proficiency in Python and/or R for modeling and production-quality code
Strong SQL skills for data exploration and dataset development
Experience working in cross-functional environments (engineering, analytics, business teams)
Ability to communicate complex concepts to non-technical stakeholders
With 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 Benefits:
Medical/prescription drug, dental, and vision Insurance
Health Savings Account
Flexible Spending Accounts
Life Insurance
Disability Insurance
401(k)
Critical Illness, Hospital Indemnity and Accident Insurance
Identity Theft and Legal Services
Paid time off
Paid Maternity Leave
Tuition reimbursement
Training and Development
Employee Assistance Program (EAP) & Perks
Qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, or other protected characteristics.
#J-18808-Ljbffr
  • Orlando, Florida, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.