[Remote] Applied Data Scientist

Note: The job is a remote job and is open to candidates in USA. Professional Staffing Group, LLC is recruiting for a client that develops data-driven insights and scalable AI solutions across the entertainment ecosystem. The Applied Data Scientist will translate business questions into analytical and machine learning solutions, develop and deploy production-ready models and pipelines, and collaborate with technical and non-technical stakeholders.

Responsibilities

• Model & Solution Development: Translate ambiguous business questions into structured analytical and ML solutions. Develop, validate, and optimize models impacting forecasting, segmentation, personalization, recommendation, or operational efficiency
• Production & MLOps: Build production‑ready pipelines and deploy models into scalable environments using robust MLOps practices (CI/CD, automated testing, monitoring), ensuring long-term lifecycle maintenance
• Collaboration & Communication: Partner cross-functionally to bridge business requirements and technical design. Communicate insights and technical decisions clearly to both technical and non‑technical stakeholders
• Documentation & Standards: Document all models, pipelines, and deployment processes comprehensively to ensure maintainability, reproducibility, and knowledge sharing
• Innovation: Stay ahead of emerging tools, techniques, and frameworks in ML/AI to influence best practices across the organization

Skills

• Sponsorship: Not Available (Now or in the future)
• Candidates must reside in the state of Florida or reside in GA, TX, and NC
• Ability to travel to Orlando, FL or the closest office local to your area for your first day/onboarding
• Ability to travel to Orlando or closest office local to your area on occasion for collaborative meetings, trainings, and to support business needs
• Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
• Professional Experience: 5+ years of industry experience (excluding internships) in data science and machine learning, including proven ownership of model productization, monitoring, and iterative improvement
• Core ML Experience: 3+ years of building machine learning models for business applications (outside of academia) , with deep expertise in both supervised and unsupervised learning algorithms
• Python: Strong programming skills with hands-on experience building, training, deploying, and monitoring ML models
• SQL: 2+ years of experience with database querying, data preparation, and analysis
• Data Warehousing: Working knowledge of large-scale platforms (e.g., Snowflake, SQL Server, BigQuery, Redshift)
• Cloud Platforms: Familiarity with cloud environments (AWS, Azure, or GCP) and designing end-to-end ML pipelines from ingestion to production serving
• Execution Skills: Outstanding analytical skills to diagnose and resolve complex system issues, with a proven ability to manage multiple projects and prioritize tasks effectively
• Advanced Degree: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field
• Domain Expertise: Industry experience in entertainment or e-commerce, including domains such as theme parks, hospitality, live performances, ticketing, or retail marketplaces
• Advanced ML Architectures: Hands-on experience designing and deploying recommendation models (collaborative filtering, content-based, transformer-based) or working with data labeling, taxonomy design, and classification frameworks
• Generative AI: Familiarity with GenAI techniques, language modeling, or frameworks like AWS Bedrock and Hugging Face
• Deep MLOps Tooling: Advanced experience with tools like SageMaker, Lambda, Airflow, or MLflow, and the ability to guide architectural/strategic decisions for ML infrastructure
• Do you have experience within the entertainment or ecommerce industry?(Please specify)
• Bachelor's (Preferred)
• Data science: 5 years (Preferred)
• Machine learning: 5 years (Preferred)
• SQL: 2 years (Preferred)
• Python: 2 years (Preferred)
• Data warehouse: 2 years (Preferred)
• Cloud platforms: 2 years (Preferred)
• Orlando, FL 32819 (Preferred)
• 25% (Preferred)

Benefits

• Remote flexibility during day-to-day work
• Travel to Orlando, FL or the closest office local to your area for your first day/onboarding
• Occasional travel to Orlando or the closest office local to your area for collaborative meetings, trainings, and to support business needs

Company Overview