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
Requirements
5+ 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. You are comfortable communicating how various approaches might impact the product behavior (and vice versa).
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.
Benefits
Competitive salaries, stock options, and comprehensive benefits
Generous paid time off, parental leave, and home office stipends
A fully remote work environment with opportunities for in-person team gatherings
A strong commitment to professional growth and an inclusive workplace where diverse perspectives thrive
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisdata sciencemachine learning algorithmsSQLPythondata manipulationdata explorationdata visualizationprototypingproduct development