Note: The job is a remote job and is open to candidates in USA. Signature Aviation is seeking a Lead Data Scientist to develop, implement, and scale advanced analytics, machine learning, and artificial intelligence solutions that drive business value. The role owns the end-to-end lifecycle of data science initiatives, partners with cross-functional stakeholders to solve business challenges, and advances organizational data science capabilities through best practices and mentoring.
Responsibilities
- Design, develop, and implement statistical, machine learning, forecasting, optimization, and predictive models
- Apply advanced analytical techniques, including regression, classification, clustering, time series analysis, anomaly detection, and other quantitative methods
- Translate business challenges into scalable analytical solutions that generate measurable business outcomes
- Conduct exploratory data analysis to identify trends, patterns, opportunities, and risks
- Assess data quality, completeness, and suitability for analytical and modeling initiatives
- Design, develop, and validate features that improve model performance and business relevance
- Lead the full lifecycle of data science solutions, from problem definition and model development through deployment and ongoing optimization
- Evaluate model performance, accuracy, stability, reliability, and business impact
- Partner with engineering and technology teams to deploy and operationalize models within business Collaborate with business leaders and stakeholders to define objectives, key metrics, constraints, and success criteria
- Identify and prioritize high-impact opportunities where data science can improve business performance
- Communicate analytical findings, recommendations, assumptions, and risks to both technical and non-technical audiences
- Ensure solutions are actionable, interpretable, and aligned with business needs and strategic objectives
Skills
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Operations Research, or a related quantitative field required
- 7+ years of progressive experience in data science, machine learning, advanced analytics, or a related field
- Demonstrated experience developing, deploying, and supporting predictive and machine learning 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 with forecasting, optimization, pricing, customer analytics, operational analytics, or related business applications
- Familiarity with generative AI, large language models (LLMs), and emerging AI technologies
- Experience working in cross-functional environments (engineering, analytics, business teams)
- Ability to communicate complex concepts to non-technical stakeholders
- Advanced degree in a quantitative field
Benefits
- Remote work arrangement
Company Overview