Staff Software Engineer

4 weeks ago

Bodega Bay, California, United States Baton (A Ryder Technology Lab) Full time
Job Title: Staff Software Engineer

We are seeking a highly skilled Staff Software Engineer to join our team at Baton, a technology innovation lab for Ryder. As a Staff Software Engineer, you will be responsible for leading data science projects, developing machine learning models, and performing in-depth data analysis.

Key Responsibilities:

  • Lead Data Science Projects: Design, develop, and implement 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.

Requirements:

  • Production Python Expertise: Advanced proficiency in Python.
  • Data Analysis Expertise: Deep understanding of data analysis techniques and ability to derive actionable insights from large data sets.
  • Machine Learning & Statistics Expertise: Substantial knowledge in machine learning algorithms and statistical methods to develop predictive models and analytics tools.

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, and proficiency in data visualization tools.

Perks:

  • Competitive salary and bonus structure.
  • Annual bonus and Long Term Incentive Plan participation.
  • Hybrid work schedule.
  • 401k with matching.
  • Medical, Dental, and Vision health coverage.
  • Employee Stock Purchase Program (15% discount to market value).
  • Hyper-stable, publicly traded enterprise.
  • Collaborative, fun, and tech-forward office in Hayes Valley (San Francisco).

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