Data Scientist - Revenue Management
Long Island City, New York, United States of America
Contract
2 weeks ago
$75 - $85 USD
Key skills
PythonSQLAIMachine LearningML
About this role
RESPONSIBILITIES:
Kforce has a client in Long Island City, NY that is seeking a Data Scientist with strong Machine Learning and Full Stack engineering experience to support revenue optimization initiatives. In this role, you will spend the majority of your time building and deploying models, working within existing infrastructure, and developing scalable data solutions that directly impact pricing decisions.
Key Responsibilities:
* Design, build, and deploy machine learning models to optimize pricing strategies
* Perform exploratory data analysis, feature engineering, and model evaluation
* Develop and maintain data pipelines and production-grade ML solutions
* Collaborate cross-functionally to translate business needs into technical solutions
* Communicate insights to both technical and non-technical stakeholders
REQUIREMENTS:
* Strong experience with Machine Learning and full stack development
* Proficiency in Python, SQL, and modern data/ML tools
* Experience writing production-quality code and working with data pipelines
* Analytical, curious mindset with strong problem-solving skills
* Airline industry experience
* Background in Revenue Management or pricing optimization
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client in Long Island City, NY that is seeking a Data Scientist with strong Machine Learning and Full Stack engineering experience to support revenue optimization initiatives. In this role, you will spend the majority of your time building and deploying models, working within existing infrastructure, and developing scalable data solutions that directly impact pricing decisions.
Key Responsibilities:
* Design, build, and deploy machine learning models to optimize pricing strategies
* Perform exploratory data analysis, feature engineering, and model evaluation
* Develop and maintain data pipelines and production-grade ML solutions
* Collaborate cross-functionally to translate business needs into technical solutions
* Communicate insights to both technical and non-technical stakeholders
REQUIREMENTS:
* Strong experience with Machine Learning and full stack development
* Proficiency in Python, SQL, and modern data/ML tools
* Experience writing production-quality code and working with data pipelines
* Analytical, curious mindset with strong problem-solving skills
* Airline industry experience
* Background in Revenue Management or pricing optimization
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.