What are the responsibilities and job description for the Data Scientist - Tech Ops position at Kforce Technology Staffing?
RESPONSIBILITIES:
Kforce has a client that is seeking a Data Scientist in Long Island City, NY.
Summary:
We are seeking a Data Scientist with strong Machine Learning and engineering experience to support predictive maintenance and operational optimization initiatives. This role focuses on building models and analytics that improve fleet reliability, reduce downtime, and enable proactive maintenance decisions.
Key Responsibilities:
* Build and deploy predictive models to forecast equipment/component failures
* Analyze sensor, maintenance, and operational data to identify patterns and failure signals
* Develop solutions to differentiate root causes vs. temporary fixes and recurring verses isolated issues
* Design data pipelines and real-time monitoring solutions
* Partner with cross-functional teams to improve maintenance efficiency and fleet planning
* Translate complex data insights into actionable recommendations
REQUIREMENTS:
* Strong experience with Machine Learning, data pipelines, and production environments
* Proficiency in Python, SQL, and modern data/ML tools
* Experience working with large-scale or real-time data
* Analytical mindset with strong problem-solving and communication skills
* Experience in aviation, maintenance, or operational analytics
* Background in predictive maintenance or reliability modeling
* Exposure to emerging AI/LLM-based solutions
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 that is seeking a Data Scientist in Long Island City, NY.
Summary:
We are seeking a Data Scientist with strong Machine Learning and engineering experience to support predictive maintenance and operational optimization initiatives. This role focuses on building models and analytics that improve fleet reliability, reduce downtime, and enable proactive maintenance decisions.
Key Responsibilities:
* Build and deploy predictive models to forecast equipment/component failures
* Analyze sensor, maintenance, and operational data to identify patterns and failure signals
* Develop solutions to differentiate root causes vs. temporary fixes and recurring verses isolated issues
* Design data pipelines and real-time monitoring solutions
* Partner with cross-functional teams to improve maintenance efficiency and fleet planning
* Translate complex data insights into actionable recommendations
REQUIREMENTS:
* Strong experience with Machine Learning, data pipelines, and production environments
* Proficiency in Python, SQL, and modern data/ML tools
* Experience working with large-scale or real-time data
* Analytical mindset with strong problem-solving and communication skills
* Experience in aviation, maintenance, or operational analytics
* Background in predictive maintenance or reliability modeling
* Exposure to emerging AI/LLM-based solutions
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.
Salary : $69 - $79