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

Product Development

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:

Salaried

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 opti