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Senior Data Scientist

Posted about 2 months agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United States, Canada

💸 Salary: 134000.0 - 167000.0 USD per year

🔍 Industry: Software Development

🏢 Company: Gladly👥 101-250💰 $40,000,000 6 months agoCustomer ServiceComputerTechnical SupportSaaSInformation TechnologySoftware

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLData AnalysisMachine LearningAlgorithmsData visualization

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.
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
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