Senior Data Scientist

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Job Description:

Responsibilities

• Lead Data Science Projects:
  • Lead the design, development, and implementation of machine learning models and advanced analytics solutions to solve complex business problems.
• Data Analysis and Visualization:
  • Perform in-depth data analysis using statistical techniques and create insightful visualizations to communicate findings to stakeholders.
• Machine Learning Model Development:
  • Build, test, and deploy machine learning models for various applications, such as demand forecasting, route optimization, and predictive maintenance.
• Data Manipulation and Cleaning:
  • Conduct data wrangling and preprocessing to ensure data quality and integrity, using tools like Pandas and NumPy.
• Statistical Analysis:
  • Apply statistical methods, including hypothesis testing and inferential statistics, to derive actionable insights from data.
• Collaboration and Communication:
  • Work closely with cross-functional teams, including engineering, operations, and business units, to understand their needs and deliver data-driven solutions.
  • Present complex data insights in a clear and concise manner to non-technical stakeholders.
• Continuous Learning:
  • Stay updated with the latest trends and technologies in data science and actively contribute to a culture of continuous improvement and innovation.

Required Qualifications

• Production Python Expertise:
  • Ideally in a production environment where code directly impacts operations.
• Data Analysis Expertise:
  • Deep understanding of data analysis techniques.
  • Ability to extract actionable insights from large datasets.
  • Experience with SQL (OLAP - Online Analytical Processing).
  • Proficiency in data visualization.
• Machine Learning & Statistics Expertise:
  • Solid understanding of ML algorithms and statistical methods for predictive modeling.
  • Experience deploying ML models in production.

Preferred Qualifications

• Experience:
  • 5-7 years of experience in data science, with a proven track record of leading and delivering complex data projects.
• First Principles Thinking:
  • Break down complex problems into their most basic elements and reconstruct solutions from the ground up
• Problem-Solving Skills:
  • Excellent critical thinking and problem-solving abilities, with experience in formulating data-driven solutions to business challenges.
• Education:
  • Master’s or PhD in Data Science, Computer Science, Statistics, or a related field.
• Communication Skills:
  • Outstanding verbal and written communication skills, with the ability to present complex data insights to a non-technical audience.
• Collaboration:
  • Proven ability to work effectively in a collaborative team environment and manage multiple projects simultaneously.
• Technical Skills:
  • Advanced proficiency in Python
  • Strong SQL skills for data manipulation and querying
  • Machine learning frameworks: Scikit-Learn, TensorFlow, Keras, and PyTorch
  • Proficiency in data visualization tools
  • Familiarity with cloud platforms like AWS

Job Category

Compensation Information:

The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. 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. Compensation ranges for the position are below:

Pay Type:

Minimum Pay Range:

Maximum Pay Range:

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:

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