Who We Are: Baton is seeking ambitious individuals who desire the autonomy and agility of a startup environment combined with the backing, power, reach, and stability of a highly respected logistics industry giant. Baton is the Silicon Valley-based technology innovation lab for Ryder, a leading logistics company that owns 260k trucks and manages $7.4B of freight. Prior to the September 2022 acquisition, Baton was a venture-backed start-up that operated a fleet of trucks and hung out at truck stops to truly understand the challenges at hand.
The Problem We’re Solving: Our mission is to eliminate supply chain waste by creating a digital platform to manage freight. With 500 million hours wasted in trucking each year, over 3 billion gallons of fuel wasted per year from trucks idling, and 1 in 5 trucks on the road driving empty at any given point, Baton is fixing that, and you will too through the impactful work you’ll do here.
Role: Staff Software Engineer, Data Scientist
Location: Hayes Valley, San Francisco, CA
Basic Job Details:
- Office days: Tuesday, Wednesday, Thursday
- Work from home days: Monday and Friday
- Job type: Full time
Job Description: We are seeking a skilled Staff Software Engineer, Data Scientist to:
- Lead data science projects, develop machine learning models, and perform in-depth data analysis
- Build and deploy models for applications such as demand forecasting and route optimization
- Conduct data wrangling and apply statistical methods to derive insights
- Collaborate with cross-functional teams and continuously learn to stay updated with the latest trends in data science
- Present complex data insights to non-technical stakeholders
The ideal candidate will have:
- Advanced proficiency in Python
- Strong SQL skills
- Experience with machine learning frameworks
- A solid background in statistical analysis and data-driven decision-making
Responsibilities:
- Lead Data Science Projects: Design, develop, and implement machine learning models and advanced analytics solutions
- Data Analysis and Visualization: Perform data analysis using statistical techniques and create visualizations
- Machine Learning Model Development: Build, test, and deploy models for predictive maintenance
- Data Manipulation and Cleaning: Conduct data wrangling using tools like Pandas and NumPy
- Statistical Analysis: Apply statistical methods for actionable insights
- Collaboration and Communication: Work closely with teams to deliver data-driven solutions
- Continuous Learning: Stay updated with data science trends and contribute to a culture of innovation
Required Qualifications:
- Production Python Expertise: Advanced proficiency in Python
- Data Analysis Expertise: Deep understanding of data analysis techniques and insights from large datasets
- Machine Learning & Statistics Expertise: Knowledge in machine learning algorithms and statistical methods
Preferred Qualifications:
- Experience: 5-7 years in data science with a proven track record of complex data projects
- First Principles Thinking: Ability to break down problems and reconstruct solutions
- Problem-Solving Skills: Excellent critical thinking and experience in data-driven solutions
- Education: Master’s or PhD in Data Science, Computer Science, Statistics, or related fields
- Communication Skills: Outstanding verbal and written skills for presenting data insights
- Collaboration: Proven ability to work effectively in teams
- Technical Skills: Proficiency in SQL, machine learning frameworks, data visualization tools, and familiarity with cloud platforms like AWS
The 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)
- Collaborative, fun, and tech-forward office in Hayes Valley (San Francisco)
Compensation Range: The annual base salary for this position is $188,000 - $261,000. Compensation will vary based on skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, full-time employees are eligible for an annual performance bonus.
Why You Should Join:
- Have an immediate impact with Ryder’s extensive customer base and internal headcount.
- Opportunity to grow and lead in a Fortune 500 company while working in a startup-like environment.
- Creative, fast-paced environment to solve impactful problems in supply chain.
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