_Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ Summary The Data Scientist's role is to wrangle data into a usable form, moving the interpretation of the data from descriptive and diagnostic into building prescriptive and predictive algorithms to solve Ryder's toughest problems. A Data Scientist will drive Ryder towards the cutting edge of what comes next. Over time the Data Scientist will become an expert of algorithms and will learn the Art of Modeling. This position will work on cutting edge data technology by being a key user on Ryder's Azure Data Lake driving the analytics initiatives; exploiting the latest algorithm discoveries and enhancements to increase the accuracy and broaden the use-cases that we can solve for. On this team, a Data Scientist will get the chance to be the machine learning expert, collaborating with Data Engineers and Analysts, using their skills to exploit data to drive the business forward. The Scientists help push the envelope of what is possible in the big data space; streaming live data into a data lake and experimenting with data in the data sandbox. As discoveries are made, the Scientist helps facilitate the movement of the algorithms into a core solution to support the business. Essential Functions <ul><li>Build predictive and prescriptive modeling techniques exploiting mathematical modeling and traditional statistical approaches in addition to the latest algorithm technology in machine learning and artificial intelligence. </li><li>Wrangle data transformations from the data sandbox and from custom sources for Data modeling. </li><li>Enhance data canonical maturity and integration for Ryders products by interacting with operations to standardize the core value add functionality enabling a multiplier effect. </li> </ul>Additional Responsibilities <ul><li>Performs other duties as assigned. </li> </ul>Skills and Abilities <ul><li>Experience to the development of predictive analytic solutions using predictive analytics tools like: R/Python Alteryx </li><li>Exposure using tools like: ETL tools (SSIS or SSRS) Data manipulation tools (SQL) Object oriented development stacks (.net) (preferred) </li><li>Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms </li><li>Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies </li> </ul>Qualifications <ul><li>Bachelor's degree required Computer Science, Data Analytics, Operational Research, Mathematics or equivalent </li><li>Master's degree preferred Computer Science, Data Analytics, Operational Research, Mathematics, MBA or equivalent </li><li>0 to One (1) year Applied Project(s) experience: Experience in demonstrating advanced analytics in an educational/project or intern type environment. required </li><li>One (1) year or more Experience in statistical, optimization and machine learning modeling development. Experience working in a cloud environment a plus. preferred </li> </ul>Travel: DOT Regulated: None Job Category: Data Science & Analytics Compensation Information : The compensation offered to a candidate may be influenced by a variety of factors, including the candidates relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. Compensation ranges for the position are below: Pay Type : Salaried Minimum Pay Range: 80000 Maximum Pay Range: 95000 The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Benefits Information: For all Full-time positions only : Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan. Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Security Notice for Applicants: Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers . Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754. Current Employees: If you are a current employee at Ryder (not a Contractor or temporary employee through a staffing agency), please click here (http://wd5.myworkday.com/ryder/d/task/1422$3.htmld) to log in to Workday to apply using the internal application process. _Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ #wd

_Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ Summary The Data Scientist II role is to wrangle data into a usable form, moving the interpretation of the data from descriptive and diagnostic into building prescriptive and predictive algorithms to solve Ryder's toughest problems. A Data Scientist will drive Ryder towards the cutting edge of what comes next. Over time the Data Scientist will become an expert of algorithms and will learn the Art of Modeling. This position will work on cutting edge data technology by being a key user on Ryder's Azure Data Lake driving the analytics initiatives; exploiting the latest algorithm discoveries and enhancements to increase the accuracy and broaden the use-cases that we can solve for. On this team, a Data Scientist will get the chance to be the machine learning expert, collaborating with Data Engineers and Analysts, using their skills to exploit data to drive the business forward. The Scientists help push the envelope of what is possible in the big data space, streaming live data into a data lake and experimenting with data in the data sandbox. As discoveries are made, the Scientist helps facilitate the movement of the algorithms into a core solution to support the business. Essential Functions <ul><li>Build predictive and prescriptive modeling techniques exploiting mathematical modeling and traditional statistical approaches in addition to the latest algorithm technology in machine learning and artificial intelligence. </li><li>Wrangle data transformations from the data sandbox and from custom sources for Data modeling. </li><li>Enhance data canonical maturity and integration for Ryders products by interacting with operations to standardize the core value add functionality enabling a multiplier effect. </li> </ul>Additional Responsibilities <ul><li>Performs other duties as assigned. </li> </ul>Skills and Abilities <ul><li>Experience to the development of predictive analytic solutions using predictive analytics tools like: R/Python Alteryx </li><li>Exposure using tools like: ETL tools (SSIS or SSRS) Data manipulation tools (SQL) Object oriented development stacks (.net) (preferred) </li><li>Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms </li><li>Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies </li> </ul>Qualifications <ul><li>Bachelor's degree required Computer Science, Data Analytics, Operational Research, Mathematics or equivalent </li><li>Master's degree preferred Computer Science, Data Analytics, Operational Research, Mathematics, MBA or equivalent </li><li>Two (2) years or more Applied Project(s) experience: Experience in demonstrating advanced analytics in an educational/project or intern type environment. required </li><li>Two (2) years or more Experience in statistical, optimization and machine learning modeling development. Experience working in a cloud environment preferred </li> </ul>Job Category: Data Science & Analytics Compensation Information : The compensation offered to a candidate may be influenced by a variety of factors, including the candidates relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. Compensation ranges for the position are below: Pay Type : Salaried Minimum Pay Range: 95000 Maximum Pay Range: 110000 The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Benefits Information: For all Full-time positions only : Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan. Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Security Notice for Applicants: Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers . Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754. Current Employees: If you are a current employee at Ryder (not a Contractor or temporary employee through a staffing agency), please click here (http://wd5.myworkday.com/ryder/d/task/1422$3.htmld) to log in to Workday to apply using the internal application process. _Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ #wd

_Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ Summary The Data Scientist's role is to wrangle data into a usable form, moving the interpretation of the data from descriptive and diagnostic into building prescriptive and predictive algorithms to solve Ryder's toughest problems. A Data Scientist will drive Ryder towards the cutting edge of what comes next. Over time the Data Scientist will become an expert of algorithms and will learn the Art of Modeling. This position will work on cutting edge data technology by being a key user on Ryder's Azure Data Lake driving the analytics initiatives; exploiting the latest algorithm discoveries and enhancements to increase the accuracy and broaden the use-cases that we can solve for. On this team, a Data Scientist will get the chance to be the machine learning expert, collaborating with Data Engineers and Analysts, using their skills to exploit data to drive the business forward. The Scientists help push the envelope of what is possible in the big data space; streaming live data into a data lake and experimenting with data in the data sandbox. As discoveries are made, the Scientist helps facilitate the movement of the algorithms into a core solution to support the business. Essential Functions Build predictive and prescriptive modeling techniques exploiting mathematical modeling and traditional statistical approaches in addition to the latest algorithm technology in machine learning and artificial intelligence. Use cutting-edge AI techniques from Natural Language Processing (NLP), Computer Vision and Time Series Analysis to create innovative solutions that meet business needs. Extract and perform data transformations from the data ecosystem and custom sources for data modeling/analytics. Enhance data canonical maturity and integration for Ryders products by interacting with operations to standardize the core value add functionality enabling a multiplier effect. Additional Responsibilities Performs other duties as assigned. Skills and Abilities Experience to the development of predictive analytic solutions using data and predictive analytics platforms and languages like: R/Python SQL Databricks Snowflake Exposure using tools like: ETL tools (SSIS , ADF , Informatica etc.) Databases like SQL Server , Oracle etc. Visualizations tools like PowerBI , MicroStrategy etc. (preferred) Object oriented development stacks (.net) (preferred) Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies Qualifications Bachelor's degree required Computer Science, Data Analytics, Operational Research, Mathematics or equivalent Master's degree preferred Computer Science, Data Analytics, Operational Research, Mathematics, MBA or equivalent 0 to One (1) year Applied Project(s) experience: Experience in demonstrating advanced analytics in an educational/project or intern type environment. required One (1) year or more Experience in statistical, optimization and machine learning modeling development. Experience working in a cloud environment a plus. preferred Travel: DOT Regulated: None Applicants from California, Colorado, Hawaii, New Jersey, New York City, and Washington: Salary is determined based on internal equity; internal salary ranges; market data/ranges; applicants skills; prior relevant experience; certain degrees or certifications, etc. The salary for this position ranges from $60,000.00 to $80,000. Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax advantaged 401(k) retirement savings plan Job Category: Data Science & Analytics Compensation Information: The compensation offered to a candidate may be influenced by a variety of factors, including the candidates relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. Compensation ranges for the position are below: Pay Type: Salaried Minimum Pay Range: Maximum Pay Range: The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Benefits Information: For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan. Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Security Notice for Applicants: Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers . Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754. Current Employees: If you are a current employee at Ryder (not a Contractor or temporary employee through a staffing agency), please click here (http://wd5.myworkday.com/ryder/d/task/1422$3.htmld) to log in to Workday to apply using the internal application process. _Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ #wd

Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy) Summary The Data Scientist's role is to wrangle data into a usable form, moving the interpretation of the data from descriptive and diagnostic into building prescriptive and predictive algorithms to solve Ryder's toughest problems. A Data Scientist will drive Ryder towards the cutting edge of what comes next. Over time the Data Scientist will become an expert of algorithms and will learn the Art of Modeling. This position will work on cutting edge data technology by being a key user on Ryder's Azure Data Lake driving the analytics initiatives; exploiting the latest algorithm discoveries and enhancements to increase the accuracy and broaden the use-cases that we can solve for. On this team, a Data Scientist will get the chance to be the machine learning expert, collaborating with Data Engineers and Analysts, using their skills to exploit data to drive the business forward. The Scientists help push the envelope of what is possible in the big data space; streaming live data into a data lake and experimenting with data in the data sandbox. As discoveries are made, the Scientist helps facilitate the movement of the algorithms into a core solution to support the business. Essential Functions <ul><li>Build predictive and prescriptive modeling techniques exploiting mathematical modeling and traditional statistical approaches in addition to the latest algorithm technology in machine learning and artificial intelligence. </li><li>Use cutting-edge AI techniques from Natural Language Processing (NLP), Computer Vision and Time Series Analysis to create innovative solutions that meet business needs. </li><li>Extract and perform data transformations from the data ecosystem and custom sources for data modeling/analytics. </li><li>Enhance data canonical maturity and integration for Ryders products by interacting with operations to standardize the core value add functionality enabling a multiplier effect. </li> </ul>Additional Responsibilities <ul><li>Performs other duties as assigned. </li> </ul>Skills and Abilities Experience to the development of predictive analytic solutions using data and predictive analytics platforms and languages like: R/Python SQL Databricks Snowflake Exposure using tools like: ETL tools (SSIS , ADF , Informatica etc.) Databases like SQL Server , Oracle etc. Visualizations tools like PowerBI , MicroStrategy etc. (preferred) Object oriented development stacks (.net) (preferred) Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies Qualifications <ul><li>Bachelor's degree required Computer Science, Data Analytics, Operational Research, Mathematics or equivalent </li><li>Master's degree preferred Computer Science, Data Analytics, Operational Research, Mathematics, MBA or equivalent </li><li>0 to One (1) year Applied Project(s) experience: Experience in demonstrating advanced analytics in an educational/project or intern type environment. required </li><li>One (1) year or more Experience in statistical, optimization and machine learning modeling development. Experience working in a cloud environment a plus. preferred </li> </ul>Travel: DOT Regulated: None Applicants from California, Colorado, Hawaii, New Jersey, New York City, and Washington: Salary is determined based on internal equity; internal salary ranges; market data/ranges; applicants skills; prior relevant experience; certain degrees or certifications, etc. The salary for this position ranges from $60,000.00 to $80,000. Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax advantaged 401(k) retirement savings plan Job Category: Data Science & Analytics Compensation Information : The compensation offered to a candidate may be influenced by a variety of factors, including the candidates relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. Compensation ranges for the position are below: Pay Type : Salaried Minimum Pay Range: Maximum Pay Range: The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Benefits Information: For all Full-time positions only : Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan. Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Security Notice for Applicants: Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers . Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754. Current Employees: If you are a current employee at Ryder (not a Contractor or temporary employee through a staffing agency), please click here (http://wd5.myworkday.com/ryder/d/task/1422$3.htmld) to log in to Workday to apply using the internal application process. Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy) #wd

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Data Scientist Ryder System, Inc. Jobs

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