Applied Data Scientist
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Job Location:
Orlando, FL - USA
Monthly Salary:
Not Disclosed
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
As a key member of our team you will own endtoend modeling and deployment work from conceptual framing of business problems to data ingestion model development and reliable production delivery.
EBG Solutions drives innovative datadriven insights and scalable AI solutions across the entertainment ecosystem. The Data Science team partners with data engineering marketing product and executive teams to transform audience data into actionable strategies and operational products. A successful Applied Data Scientist at EBG thrives on both analytical creativity and production rigor. Your work will directly shape how EBG Solutions delivers value to clients and internal stakeholders.
YOU MUST BE BASED IN FL or TX for this role.
- 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 productionready 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 nontechnical audiences.
- Stay ahead of emerging tools techniques and frameworks in machine learning/artificial intelligence (ML/AI) and influence best practices across the organization.
Qualifications :
- Bachelors 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
What Sets You Apart
- 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.
*EBG does not offer sponsorship now or in the future for this role.*
Additional Information :
EBG offers outstanding benefit options that fit our employees lifestyles including:
- 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!
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
EBG is an e-commerce solutions provider specializing in travel and entertainment, and also offering retail products and services, voluntary benefits and insurance. EBG powers a robust portfolio of technology solutions and operates a network of employer and membership-based platforms r ... View more
