Revenue Management Solutions

Data Scientist

Direct message the job poster from Revenue Management Solutions

Nancy Castro, SHRM-SCP

Nancy Castro, SHRM-SCP

People & Talent Manager

THE OPPORTUNITY

As a Data Scientist you will have the opportunity to learn and apply RMS’ methodologies to solve analytical problems using quantitative and qualitative approaches that will be critical to driving high-end business value to our clients. This position requires an applied knowledge of Data Science and Deep Learning and the candidate demonstrating a working knowledge of SQL (or some other ETL), and Python.


WHO YOU’LL WORK WITH

You’ll work in our Tampa office as part of our Research & Development team, reporting to the VP of Data Science and Analytics. You will work with the Data Science team to develop data products and perform exploratory data analysis and anomaly detection. We take pride in encouraging each other’s career ambitions and you’ll find opportunities for personal development throughout our company. This is a hybrid position, working in the office 3 days a week.


WHAT YOU’LL DO

  • Implement scaled and systematic analytical solutions
  • Collect, transform, aggregate and create data sets for use in models
  • Work with large, complex data sets
  • Solve difficult, non-routine analysis problems, and apply advanced analytical methods as needed
  • Validating model performance
  • The ability to balance the “art and science” by solving analytical problems using quantitative and qualitative approaches that will be critical to driving high-end business value
  • Champion a data-driven culture and drive long-term business value creation through the development of best-in-class data science capabilities
  • Develop and maintain structured process documents, methodology documents and data dictionaries
  • Effectively and concisely articulate processes to internal and external parties


SKILLS AND QUALIFICATIONS

  • Working knowledge of statistics, economics/econometrics and machine learning, algorithms
  • Hands-on experience coding in Python, R, or other advanced programming
  • Experience working with large datasets using SQL
  • Exceptional organizational skills and detail oriented
  • Strong interpersonal and communication skills, both verbal and written
  • Ability to effectively manage simultaneous projects and deadlines
  • Bachelor’s degree in Economics, Mathematics, Engineering, Computer Science, or a field with a quantitative and technical emphasis required

PREFERRED

  • Graduate degree, or supplementary courses in Economics, Data Science or Data Engineering


Benefits, As a full-time RMS Employee, you will be eligible for:

  • 100% employer paid HSA medical insurance, or 80% employer paid medical insurance for HMO and PPO plans for employees and qualifying dependents
  • Dental and vision insurance (80% employer paid)
  • Basic Life and AD&D insurance (100% employer paid)
  • Telemedicine (100% employer paid)
  • 401k plan with company matching contribution of 4% of annual gross salary with immediate vesting
  • Tuition assistance is available to support continuous education efforts
  • 15 business days paid vacation for the first year (pro rata),
  • 20 days after two years, and 25 days after ten years
  • Eight paid holidays + 1 personal floating holiday
  • Paid parking
  • Gym membership or ClassPass (optional)
  • Access to optional group insurance plans (100% employee paid): Accident, Critical Illness, Hospital, Voluntary Life and AD&D, Long-term Disability, Short-term Disability, and Pet Insurance
  • Paid parental leave


  • Seniority level

    Entry level
  • Employment type

    Full-time
  • Job function

    Engineering, Analyst, and Other
  • Industries

    Hospitality

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