Revenue Management Solutions Careers - Machine Learning Engineer

JobviteTampa, Florida, United StatesMid Level

Active

Job description

Revenue Management Solutions Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-07-31", "description": "

THE OPPORTUNITY

As a Data Scientist, you will have the opportunity to learn and apply RMS\u2019 methodologies to solve analytical problems critical to driving high-end business value to our clients.\u00A0 This position requires an applied knowledge of Data Science and Deep Learning as well as demonstrating an ability to code in Python and SQL.\u00A0

RIGHT TO WORK

Candidates must have the legal right to work in the country the position is based. The employer does not provide sponsorship for work authorization for this role.

WHO YOU\u2019LL WORK WITH

You\u2019ll work in our Tampa office as part of our Research & Development team, reporting to the Senior Director of AI and Machine Learning. You will work with the AI and Machine Learning team to develop machine learning or deep-learning models, perform exploratory data analysis, and apply data mining techniques.\u00A0 We take pride in encouraging each other\u2019s career ambitions and you\u2019ll find opportunities for personal development throughout our company. This is a hybrid position, working in the office 3 days a week.\u00A0

WHAT YOU\u2019LL DO

Implement scaled and systematic analytical solutions Build complex datasets and features stores from disparate sources
Create project plans, test various approaches, and evaluate results to answer key business questions
Creatively solve problems using quantitative and qualitative approaches to drive high-end business value
Develop documentation outlining methodology, feature engineering and model development\u00A0
Engage and support internal teams to articulate processes and results\u00A0

SKILLS AND QUALIFICATIONS

Working Knowledge of statistics, machine learning/deep - learning, and data - mining algorithms
Hands on experience coding in Python
Experience working with large data sets
Practical experience with Git and use of repositories for source control
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\u00A0

PREFERRED

Graduate degree, or supplementary courses in Statistics, Economics, Data Science or Data Engineering\u00A0\u00A0

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
\u00A0Tuition assistance is available to support continuous education efforts
15 business days paid vacation for the first year based on your hire date (pro rata), 15 days thereafter; 20 days after two years, and 25 days after ten years
Eight paid holidays + 1 personal floating holiday
Paid parking and health club membership
Paid parental leave

WHO WE ARE

Revenue Management Solutions (RMS) partners with restaurant brands to navigate an increasingly complex operating environment. Trusted by more than 50 leading brands across 40+ countries, we deliver data-driven analytics and technology-enabled solutions that optimize pricing, menus, and overall financial performance. Six of the top 10 U.S. quick-service brands and 16 of the top 30 global restaurant brands\u2014representing more than 100,000 restaurants worldwide\u2014rely on RMS to make informed business decisions that drive profitability while addressing rising costs, including inflation and labor. RMS holds five U.S. patents in menu pricing and customer segmentation and actively supports academic research to advance the field of revenue management.
Learn more at revenuemanage.com.
WHAT WE BELIEVE
Our goal at RMS is to create positive change in the communities we serve. With team members representing over 20 countries, we respect and embrace diverse perspectives, cultures, and experiences. We believe our differences strengthen our work and help us deliver better outcomes for our clients and each other.
Revenue Management Solutions is an equal opportunity employer and E-Verify participant. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, or any other characteristic protected by applicable law.", "hiringOrganization": "Revenue Management Solutions", "employmentType": "Full-Time", "industry": "DevOps", "identifier": "oITzAfwu", "jobLocation": [ { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "Tampa", "addressRegion": "Florida", "addressCountry": "United States" } } ], "title": "Data Scientist", "baseSalary": { "@type": "MonetaryAmount", "currency": "", "value": { "@type": "QuantitativeValue", "minValue": "", "maxValue": "", "unitText": "" } } } Data Scientist DevOps Tampa, Florida Apply Description THE OPPORTUNITYAs a Data Scientist, you will have the opportunity to learn and apply RMS’ methodologies to solve analytical problems critical to driving high-end business value to our clients. This position requires an applied knowledge of Data Science and Deep Learning as well as demonstrating an ability to code in Python and SQL. RIGHT TO WORKCandidates must have the legal right to work in the country the position is based. The employer does not provide sponsorship for work authorization for this role.WHO YOU’LL WORK WITHYou’ll work in our Tampa office as part of our Research & Development team, reporting to the Senior Director of AI and Machine Learning. You will work with the AI and Machine Learning team to develop machine learning or deep-learning models, perform exploratory data analysis, and apply data mining techniques. 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 DOImplement scaled and systematic analytical solutions Build complex datasets and features stores from disparate sources Create project plans, test various approaches, and evaluate results to answer key business questionsCreatively solve problems using quantitative and qualitative approaches to drive high-end business valueDevelop documentation outlining methodology, feature engineering and model development Engage and support internal teams to articulate processes and results SKILLS AND QUALIFICATIONSWorking Knowledge of statistics, machine learning/deep - learning, and data - mining algorithmsHands on experience coding in PythonExperience working with large data setsPractical experience with Git and use of repositories for source controlStrong interpersonal and communication skills, both verbal and writtenAbility to effectively manage simultaneous projects and deadlinesBachelor's degree in Economics, Mathematics, Engineering, Computer Science, or a field with a quantitative and technical emphasis required PREFERREDGraduate degree, or supplementary courses in Statistics, Economics, Data Science or Data Engineering BENEFITSas 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 dependentsDental 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 efforts15 business days paid vacation for the first year based on your hire date (pro rata), 15 days thereafter; 20 days after two years, and 25 days after ten yearsEight paid holidays + 1 personal floating holidayPaid parking and health club membershipPaid parental leaveWHO WE ARERevenue Management Solutions (RMS) partners with restaurant brands to navigate an increasingly complex operating environment. Trusted by more than 50 leading brands across 40+ countries, we deliver data-driven analytics and technology-enabled solutions that optimize pricing, menus, and overall financial performance. Six of the top 10 U.S. quick-service brands and 16 of the top 30 global restaurant brands—representing more than 100,000 restaurants worldwide—rely on RMS to make informed business decisions that drive profitability while addressing rising costs, including inflation and labor. RMS holds five U.S. patents in menu pricing and customer segmentation and actively supports academic research to advance the field of revenue management.Learn more at revenuemanage.com.WHAT WE BELIEVEOur goal at RMS is to create positive change in the communities we serve. With team members representing over 20 countries, we respect and embrace diverse perspectives, cultures, and experiences. We believe our differences strengthen our work and help us deliver better outcomes for our clients and each other.Revenue Management Solutions is an equal opportunity employer and E-Verify participant. We consider qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, or any other characteristic protected by applicable law. Apply Apply Later ← Back to Current Openings Share lang: en_US LinkedIn Facebook Twitter Email Similar Jobs {{ job.title }} Powered by Jobvite

Revenue Management Solutions Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-07-31", "description": "

THE OPPORTUNITY

RIGHT TO WORK

Candidates must have the legal right to work in the country the position is based. The employer does not provide sponsorship for work authorization for this role.

WHO YOU\u2019LL WORK WITH

WHAT YOU\u2019LL DO

Implement scaled and systematic analytical solutions Build complex datasets and features stores from disparate sources
Create project plans, test various approaches, and evaluate results to answer key business questions
Creatively solve problems using quantitative and qualitative approaches to drive high-end business value
Develop documentation outlining methodology, feature engineering and model development\u00A0
Engage and support internal teams to articulate processes and results\u00A0

SKILLS AND QUALIFICATIONS

Working Knowledge of statistics, machine learning/deep - learning, and data - mining algorithms
Hands on experience coding in Python
Experience working with large data sets
Practical experience with Git and use of repositories for source control
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\u00A0

PREFERRED

Graduate degree, or supplementary courses in Statistics, Economics, Data Science or Data Engineering\u00A0\u00A0

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
\u00A0Tuition assistance is available to support continuous education efforts
15 business days paid vacation for the first year based on your hire date (pro rata), 15 days thereafter; 20 days after two years, and 25 days after ten years
Eight paid holidays + 1 personal floating holiday
Paid parking and health club membership
Paid parental leave

WHO WE ARE

Revenue Management Solutions Careers { "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-07-31", "description": "

THE OPPORTUNITY

RIGHT TO WORK

Candidates must have the legal right to work in the country the position is based. The employer does not provide sponsorship for work authorization for this role.

WHO YOU\u2019LL WORK WITH

WHAT YOU\u2019LL DO

Implement scaled and systematic analytical solutions Build complex datasets and features stores from disparate sources
Create project plans, test various approaches, and evaluate results to answer key business questions
Creatively solve problems using quantitative and qualitative approaches to drive high-end business value
Develop documentation outlining methodology, feature engineering and model development\u00A0
Engage and support internal teams to articulate processes and results\u00A0

SKILLS AND QUALIFICATIONS

Working Knowledge of statistics, machine learning/deep - learning, and data - mining algorithms
Hands on experience coding in Python
Experience working with large data sets
Practical experience with Git and use of repositories for source control
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\u00A0

PREFERRED

Graduate degree, or supplementary courses in Statistics, Economics, Data Science or Data Engineering\u00A0\u00A0

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
\u00A0Tuition assistance is available to support continuous education efforts
15 business days paid vacation for the first year based on your hire date (pro rata), 15 days thereafter; 20 days after two years, and 25 days after ten years
Eight paid holidays + 1 personal floating holiday
Paid parking and health club membership
Paid parental leave

WHO WE ARE

{ "@context": "http://schema.org", "@type": "JobPosting", "datePosted": "2026-07-31", "description": "

THE OPPORTUNITY

RIGHT TO WORK

Candidates must have the legal right to work in the country the position is based. The employer does not provide sponsorship for work authorization for this role.

WHO YOU\u2019LL WORK WITH

WHAT YOU\u2019LL DO

Implement scaled and systematic analytical solutions Build complex datasets and features stores from disparate sources
Create project plans, test various approaches, and evaluate results to answer key business questions
Creatively solve problems using quantitative and qualitative approaches to drive high-end business value
Develop documentation outlining methodology, feature engineering and model development\u00A0
Engage and support internal teams to articulate processes and results\u00A0

SKILLS AND QUALIFICATIONS

Working Knowledge of statistics, machine learning/deep - learning, and data - mining algorithms
Hands on experience coding in Python
Experience working with large data sets
Practical experience with Git and use of repositories for source control
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\u00A0

PREFERRED

Graduate degree, or supplementary courses in Statistics, Economics, Data Science or Data Engineering\u00A0\u00A0

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
\u00A0Tuition assistance is available to support continuous education efforts
15 business days paid vacation for the first year based on your hire date (pro rata), 15 days thereafter; 20 days after two years, and 25 days after ten years
Eight paid holidays + 1 personal floating holiday
Paid parking and health club membership
Paid parental leave

WHO WE ARE

Data Scientist

DevOps Tampa, Florida