Staff Data Scientist

🕒 August 4

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🌵 Arizona, Colorado, +15 more states – Remote

🌵 Arizona – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌪️ Oklahoma – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ☕ Washington – Remote 🦬 Wyoming – Remote

💵 $220k - $250k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 0%

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CharterUP

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

📦 Logistics

✈️ Travel

🚗 Transport

💰 $60M Series A on 2022-10

Logistics • Travel • Transport

CharterUP is a private shuttle service that provides organized transportation solutions for a variety of groups and events. The company caters to a wide range of clients, including nonprofits, corporations, universities, and government agencies, offering services such as employee shuttles, campus transportation, and emergency transport. With a mission to deliver a safe and transparent group travel experience, CharterUP operates through a marketplace model, allowing customers to easily book and manage shuttles across numerous cities nationwide, supported by a vast network of bus operators.

📋 Description

• Design, implement, and maintain production ML models focused initially on pricing and availability, later expanding into forecasting, automation, and optimization • Establish principles, infrastructure, and systems for a scalable data science function • Improve data pipelines, modeling, governance, reliability, and data quality • Collaborate with executives and cross-functional teams to translate complex data into insights, metrics, and recommendations • Promote experimentation, statistical rigor, and data storytelling • Mentor peers and help establish a future data science team • Embed elasticity models, demand forecasts, and operator availability logic into the core platform • Build dynamic pricing and matching rules or models to optimize customer price acceptance, operator match rates, supply efficiency, and profitability • Establish controlled-experiment and monitoring frameworks with KPIs balancing margin, conversion, and operator acceptance • Create explainable, measurable pricing and availability strategies and dashboards for Product, Sales, Finance, and Operations • Develop repeatable processes and systems to scale pricing and operator matching beyond one-off analysis • Report to the Chief Product Officer

🎯 Requirements

• 8+ years of experience in data science • Track record of building and scaling data-driven functions • Experience leading cross-functional teams • Experience delivering high-impact projects in high-growth or startup environments • Hands-on experience designing, deploying, and maintaining machine learning models in production • Experience with pricing, demand forecasting, and availability optimization • Deep skills in AI/ML, LLMs, NLP, statistical modeling, experimental design, and advanced analysis • Advanced proficiency with SQL in big data environments • Python or R proficiency for large-scale analysis • Strong background in data modeling, pipeline development, data quality, and governance • Ability to align data science initiatives with business goals • Ability to translate complex data into clear strategies and actionable insights • Ability to influence at the executive level • Ability to mentor peers and junior talent • Excellent communication and cross-functional collaboration skills

🏖️ Benefits

• Innovative Impact: Be part of the team that's revolutionizing group travel, setting new standards in an industry overdue for change. • Growth Opportunities: As a hyper growth company and one of the fastest-growing companies recognized by Inc., there’s no better time to join our dynamic, growth-stage organization. • Remote-first work model • Medical, dental, and vision insurance • Mental health support • Virtual care • Gym discounts • Family-building benefits • U.S. employees: 100% of insurance premiums covered • Paid time off; U.S.: 15 PTO days, increasing to 20 after 2 years • 8 paid holidays in the U.S. • Company-paid life, short-term, and long-term disability insurance where available • Referral bonuses • Long-term financial planning support • U.S. 401(k) plan • Region-specific savings programs where applicable internationally • Choice of Mac or PC, plus monitor, keyboard, and mouse • International benefits aligned with local standards • Fast-moving, ambitious, and collaborative team culture