Data Scientist Manager

CLA

**
R, python, or other scripting languages
Api and web scraping experience
Sql/no-sql database proficiency
** CLA is seeking a Data Scientist Manager to lead their Internal IT team, focusing on data wrangling, visualization, and advanced modeling. The ideal candidate should possess strong analytical skills, experience in data science, and a collaborative mindset, while enjoying flexible benefits including PTO, parental leave, and wellness stipends. **

Job Summary

  • The Data Scientist Manager thrives when constructing complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages.
  • As a Manager, you will develop more autonomy to develop solutions, lead others, take on administrative tasks, perform support roles, and get involved in new business development.
  • CLA offers a comprehensive benefits package including Flexible PTO, paid parental leave, mental health coverage, and a quarterly wellness stipend.

Matching Summary

Match Score: 75

** CLA is seeking a Data Scientist Manager to lead their Internal IT team, focusing on data wrangling, visualization, and advanced modeling. The ideal candidate should possess strong analytical skills, experience in data science, and a collaborative mindset, while enjoying flexible benefits including PTO, parental leave, and wellness stipends. **

Skills & Requirements

Must-have

  • R, Python, or other scripting languages
  • API and web scraping experience
  • SQL/no-SQL database proficiency
  • Develop custom data models and algorithms
  • Execute predictive and inferential analytics
  • Machine learning and artificial intelligence techniques

Nice-to-have

  • Industry-focused wealth advisory
  • Building a culture of diverse perspectives
  • Lead client situations and develop business skills
  • Emotional intelligence and business development skills

Key Requirements

  • Five years of relevant experience
  • Bachelor's degree required
  • Experience in data analytics, statistics, data science, financial consulting, computer science or related field preferred
  • Master’s degree or Ph.D. preferred

Work Rights

Not specified

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