Gladly is hiring a
Staff Data Scientist

Summary

Join Gladly's AI & Research team as a Data Scientist to power novel AI products, drive data-based decisions, and innovate on our products using data.

Requirements

• 8+ years of experience working with data to solve problems and make decisions, especially as a data scientist or product analyst
• A strong track record of designing, prototyping, scaling and launching data science products to solve business problems
• Excellent SQL and python skills for data manipulation, exploration and visualization, especially in Jupyter notebooks
• A strong understanding of ML algorithms
• Excellent communication skills; you excel at turning data into compelling and actionable insights and have a proven track record for driving change in a product organization
• Customer-centricity and product focus. You look at everything you create through the lens of how it improves experience for the end-user
• Learning mentality. You aren't intimidated by new domains or technology; you're willing to dive into documentation/videos, talk to your teammates, and experiment to become well-versed
• Experience working with cross-functional teams including but not limited to Engineering, Design and Product

Responsibilities

• Collaborate with various Gladly teams and stakeholders to build a deep understanding of our business, our customers and the problems they face
• Work closely with our product leadership to influence product roadmap and strategy, driving collaborative discussions based on quantitative insights
• Design and perform analyses or experiments to deepen our understanding of customers, uncover product improvement opportunities, provide actionable recommendations, and drive product decisions
• Develop novel algorithms to improve customer service automation and Hero efficiency, working on problems from conception through design, prototyping and shipping production features
• Provide guidance to other teams about the best practices for gaining insight into product behavior and experimentation to improve product effectiveness
• Provide mentorship to other data scientists through code and research reviews, documentation, technical guidance and pairing

Benefits

• Competitive salaries
• Stock options
• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Generous paid time off
• Generous paid Parental Leave
• 401K
• Flexible Spending Accounts
• Home office stipends