Senior Data Scientist - Airvoyant POD

coderoad inc • Latin America
Remote
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AI Summary

Lead data-driven innovation for global aviation, designing and deploying predictive models. Collaborate cross-functionally to optimize platform performance and business impact.

Key Highlights
Design and deploy predictive models for aircraft maintenance and operational performance
Collaborate with cross-functional teams to integrate analytics into customer-facing products
Optimize model performance and monitor data integrity
Key Responsibilities
Own the end-to-end design, development, validation, and production-grade deployment of predictive statistical and machine learning models
Lead the extraction and interpretation of complex datasets to build scalable data products, custom APIs, and decision-automation algorithms
Optimize model performance, engineering robust frameworks to monitor data integrity, model drift, and long-term system reliability
Design and execute rigorous experiments, including A/B testing and hypothesis testing, to deliver clear, data-driven recommendations to senior leadership
Collaborate with cross-functional engineering and product teams to integrate advanced analytics into customer-facing products and democratize insights through interactive visualizations
Technical Skills Required
Python (pandas, NumPy, scikit-learn, XGBoost) SQL Cloud platforms (AWS, Azure, or GCP) Big data technologies (Spark, Hadoop, or Presto)
Benefits & Perks
100% Remote
Holidays off
Paid Time Off
Health insurance assistance
Competitive USD compensation
Growth opportunities
Nice to Have
Direct experience in aviation, MRO, ERP, or operations-heavy industries
Familiarity with time-series analysis, predictive maintenance, or reliability modeling
Strong exposure to MLOps practices, including model versioning, lifecycle management, and real-time streaming analytics
Hands-on experience with Amazon Redshift for large-scale data warehousing and Amazon QuickSight for business intelligence

Job Description


Senior Data Scientist

Latin America | 100% Remote



About CodeRoa

dCodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, our nearshore technology services empower businesses to thrive in an ever-evolving digital landscape


.
About the Ro

leAs a Senior Data Scientist for the Airvoyant POD, you will serve as the technical backbone for our next-generation, data-driven aviation software. You will anchor the design, development, and deployment of advanced machine learning models, predictive analytics, and production-grade data pipelines that transform aircraft maintenance and operational performance for global airlines, MROs, and aviation vendor

s.This role is critical to converting highly complex, structured, and unstructured datasets into scalable solutions and intelligent automation. Working cross-functionally with product, engineering, and business leaders, your predictive insights will directly optimize platform innovation, accelerate operational efficiency, and deliver measurable business impact for our external client


s.
Key Responsibilit

  • iesOwn the end-to-end design, development, validation, and production-grade deployment of predictive statistical and machine learning mode
  • ls.Lead the extraction and interpretation of complex datasets to build scalable data products, custom APIs, and decision-automation algorith
  • ms.Optimize model performance, engineering robust frameworks to monitor data integrity, model drift, and long-term system reliabili
  • ty.Design and execute rigorous experiments, including A/B testing and hypothesis testing, to deliver clear, data-driven recommendations to senior leadersh
  • ip.Collaborate with cross-functional engineering and product teams to integrate advanced analytics into customer-facing products and democratize insights through interactive visualizatio


ns.
Requirem

  • ents5–7+ years of professional experience in data science or advanced analytics, with a proven track record of delivering production-grade data soluti
  • ons.Advanced proficiency in Python for machine learning and data analysis (pandas, NumPy, scikit-learn, XGBoo
  • st).Expert-level SQL skills for complex data querying, transformation, and performance optimizat
  • ion.Strong experience with cloud platforms (AWS, Azure, or GCP) alongside big data technologies (Spark, Hadoop, or Pres
  • to).Hands-on experience with containerization (Docker) and modern data pipeline Orchestrat
  • ion.Ownership mindset with exceptional communication skills to translate complex analytical concepts into actionable business strateg
  • ies.Advanced English (written and spok


en).
Nice to

  • HaveDirect experience in aviation, MRO, ERP, or operations-heavy indust
  • ries.Familiarity with time-series analysis, predictive maintenance, or reliability mode
  • ling.Strong exposure to MLOps practices, including model versioning, lifecycle management, and real-time streaming analy
  • tics.Hands-on experience with Amazon Redshift for large-scale data warehousing and Amazon QuickSight for business intellig


ence.
What You’l

  • l Love100%
  • RemoteHolida
  • ys offPaid Ti
  • me OffHealth insurance assi
  • stanceCompetitive USD compen
  • sationGrowth opportu


nities

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