Data Scientist

Company Description

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 reaching a captive audience, providing leading brands with incremental distribution opportunities. EBG's expanded network reaches over 100 million users from participating companies and closed loop affinity and membership groups. 

EBG owns and operates one of the largest and most comprehensive employee savings programs in the country — serving over 40,000 corporate clients through its proprietary platforms TicketsatWork, Plum Benefits, Working Advantage and Beneplace. 

EBG is a b2b2c company headquartered in Miami (Aventura), with offices in New York, Orlando, Austin and Las Vegas.

Job Description

EBG has an opening for a talented and experienced Data Scientist to join our dynamic team. The ideal candidate will have a passion for deriving actionable insights from complex datasets and a strong background in machine learning (supervised, semi-supervised & unsupervised), statistical analysis, and data visualization.

• Conduct exploratory data analysis to identify patterns, trends, and anomalies within large datasets.
• Develop predictive models and machine learning algorithms to solve business problems and improve decision-making processes.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Clean, preprocess, and manipulate data to ensure accuracy, completeness, and consistency.
• Implement and deploy scalable solutions for data processing, model training, and evaluation.
• Interpret model results and communicate findings to stakeholders in a clear and concise manner.
• Stay updated on the latest advancements in data science, machine learning, and related fields.
• Mentor junior team members and provide guidance on best practices in data analysis and model development.

#LI-Hybrid

Qualifications

• Master's degree or PhD in Data Science, Machine Learning, AI, Computer Science, Statistics, Mathematics, or a related field. PhD preferred
• Proven experience (3  years post graduate) as a Data Scientist in a fast-paced, commercial environment (E-commerce preferred)
• Proficiency  in machine learning (supervised, semi-supervised & unsupervised)
• Proficiency in Python for data analysis and machine learning (R or Scala is a plus)
• Knowledge and experience with NLP (Natural Language Processing) algorithims and libraries within Python and related languages such as R or Scala. 
• Strong knowledge of statistical analysis techniques, machine learning algorithms, and data visualization tools
• Experience with big data technologies such as Spark and TensorFlow is a plus
• Excellent problem-solving skills and ability to work independently as well as part of a team
• Strong communication and interpersonal skills, with the ability to explain complex concepts to non-technical stakeholders
• Experience working on teams, across functions and able to present to both technical and non-technical audiences and stakeholders
• Demonstrated ability to manage multiple projects simultaneously and prioritize tasks effectively
• Ability to travel on occasion

*EBG does not offer sponsorship

Additional Information

Entertainment Benefits Group offers outstanding employee benefits including:

• Medical, Dental & Vision
• 401k Match
• Short Term Disability, Long Term Disability (Company Paid)
• Basic Life and AD&D (Company Paid)
• Additional Voluntary Benefits (additional life, legal, critical care, and more)
• Flexible Work Arrangements
• 3 Weeks of PTO 5 Personal Days
• Paid Holiday Break from Christmas to New Year
• Paid Holidays
• Fitness Centers (location dependent)
• 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 the savings marketplace!