EBG · 20 hours ago
Applied Data Scientist
Orlando, FL
Full-time
Onsite
Senior Level
5+ years expEBG is an e-commerce solutions provider specializing in travel and entertainment, and they are seeking an Applied Data Scientist to own end-to-end modeling and deployment work. The role involves translating business questions into analytical solutions, developing machine learning models, and collaborating with various teams to deliver data-driven insights.
E-Commerce
No H1B
Hiring Manager
Colleen D.
Responsibilities
Translate ambiguous business questions into structured analytical and ML solutions
Develop, validate, and optimize statistical and machine learning models that impact forecasting, segmentation, personalization, recommendation, or operational efficiency
Build production‑ready pipelines using robust MLOps practices (CI/CD, automated testing, monitoring)
Document all models, pipelines, and deployment processes clearly and comprehensively to ensure maintainability, reproducibility, and knowledge sharing across the team
Deploy models into scalable production environments and maintain lifecycle operations
Communicate insights and technical decisions clearly to technical and non‑technical audiences
Stay ahead of emerging tools, techniques, and frameworks in machine learning/artificial intelligence (ML/AI) and influence best practices across the organization
Qualification
Required
Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
5+ years of industry experience (in addition to internships) in data science and machine learning, including production deployments
3+ years of building machine learning models for business applications (outside of academic experience.)
Strong Python programming skills with hands-on experience building, training, deploying, and monitoring machine learning models
Solid experience with SQL (2+ years) for database querying, data preparation, and analysis
Experience designing, building, and maintaining end-to-end ML pipelines from data ingestion to production serving
Experience in both supervised and unsupervised learning algorithms
Familiarity with cloud platforms and deployment environments (e.g., AWS, Azure, GCP)
Working knowledge of large-scale data warehousing platforms (e.g., Snowflake, SQL Server, Big Query, RedShift)
Demonstrated ownership of model productization, monitoring, and iterative improvement
Proven ability to solve ambiguous problems using data and engineering rigor
Excellent cross-functional communication, capable of bridging business requirements and technical design
Outstanding analytical and problem-solving skills, able to diagnose and resolve complex system issues
Experience managing multiple projects simultaneously and prioritizing tasks effectively
You must be able to start in person onsite for this role
You must be able to travel on occasion to support business needs
Preferred
Advanced degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Familiarity with MLOps tooling (e.g., SageMaker, Lambda, Airflow, MLflow) and cloud platforms (AWS, GCP, Azure)
Experience with generative AI (GenAI) techniques (e.g., LLM) or with GenAI related concepts (language modeling); Bedrock or Hugging Face experience is a plus
Hands-on experience designing, building, and deploying recommendation models, including collaborative filtering, content-based, and transformer-based recommendation architectures
Experience with data labeling, taxonomy design, and classification frameworks
Strong knowledge of statistical analysis, machine learning algorithms, and data visualization using Python packages
Ability to guide architectural and strategic decisions for ML infrastructure
Industry experience in entertainment or online commerce is a strong plus, including domains such as theme parks, hospitality, live performances, show or sports ticketing, or retail and marketplace platforms
Benefits
Medical, Dental & Vision
401k Match
Short Term Disability, Long Term Disability (Company Paid)
Basic Life and AD&D (Company Paid)
Additional Voluntary Benefits
Flexible Work Arrangements
3 Weeks of PTO + 5 Personal Days
Paid Holiday Break from Christmas to New Year
Paid Holidays
Fitness Benefit
Annual Day of Giving
Company Bonus Program
Share in the FUN! EBG gives $1000 per year in Tickets-At-Work gift cards to full-time employees to experience and enjoy our signature savings marketplace!
Company
EBG
EBG specializes in travel and entertainment and offers other retail products and services, voluntary benefits, and insurance.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Robert J. Riesenberg
CFO
Recent News
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