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Data Scientist – AI and Automation in Customer Success

Posted 2024-11-23

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💎 Seniority level: Senior, Proven and hands-on experience in data science

🔍 Industry: Enterprise software

⏳ Experience: Proven and hands-on experience in data science

Requirements:
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Proven hands-on experience in data science, preferably in SaaS or enterprise software.
  • Expertise in machine learning, natural language processing, or automation.
  • Proficiency in Python, SQL, and experience with AI/ML frameworks like TensorFlow and PyTorch.
  • Strong understanding of data integration practices and API connectivity across SaaS platforms.
  • Excellent analytical skills and problem-solving mindset.
  • Strong communication skills and experience working with cross-functional teams.
Responsibilities:
  • Develop and deploy machine learning models to automate processes and integrate customer data across systems.
  • Analyze and improve customer workflows, identifying opportunities for automation to reduce manual effort.
  • Build predictive models to anticipate customer needs for proactive support.
  • Create tools for Customer Success Managers to interact with automated insights.
  • Collaborate with cross-functional teams to align AI solutions with customer outcomes.
  • Regularly evaluate the performance of models and adjust to meet evolving needs.
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Related Jobs

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🔥 Data Scientist – AI and Automation in Customer Success
Posted 2024-11-23

🔍 Enterprise software

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Proven experience in data science, preferably in SaaS or enterprise software.
  • Expertise in machine learning, natural language processing, or automation for business processes.
  • Proficiency in Python, SQL, and experience with AI/ML frameworks such as TensorFlow or PyTorch.
  • Strong understanding of data integration practices and API connectivity.
  • Excellent analytical skills with a problem-solving mindset.
  • Strong communication skills and experience with cross-functional teams.

  • Develop and deploy machine learning models to automate processes and integrate customer data across multiple systems.
  • Analyze customer workflows to identify automation opportunities and improve efficiency within the LAER lifecycle.
  • Build predictive models to anticipate customer needs and enable proactive support.
  • Create tools for Customer Success Managers to interact with automated insights.
  • Collaborate with Product, Data Engineering, and Customer Success teams to ensure AI solutions align with business objectives.
Posted 2024-11-23
Apply

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