Data Scientist Lead/Manager

7 Months ago • 7 Years +

About the job

About the job

A U.S.-based company that is determined to ensure that the revolutionary power of AI benefits all of humanity is looking for a Data Scientist Lead/Manager. The selected candidate will be expected to write the reasoning and code in Jupyter Notebooks with clarity. The company is utilizing modern artificial intelligence technology to mold a more favorable future for the next generation. So far, the company has managed to secure more than $2.7bn in funding.

Job Responsibilities:

  • Showcase a strong sense of leadership and aptitude for creating efficient workflows
  • Take charge of overseeing the growth and performance of a group of data scientists
  • Work with researchers to develop and implement workflows for the data science team
  • Write effective, high-quality Python code to solve problems
  • Debug code and provide thorough documentation
  • Conduct code reviews with peers and offer helpful criticism
  • Using free datasets (such as Kaggle, the UN, the US government, etc.), use your data analytic skills to formulate and respond to important business issues
  • In order to comprehend requirements and convey findings, efficiently communicate with researchers
  • Effectively communicate complicated topics to team members and stakeholders while providing practical assistance with data analysis
  • In addition to designing and implementing workflows for the data science team, solve difficult problems

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 7+ years of relevant experience as a Data Scientist Lead/Manager
  • 5+ years of Python programming and data science experience
  • 2+ years of experience leading a group of at least five employees
  • Prolific experience working with Data Science
  • Outstanding interpersonal abilities to work well with researchers and stakeholders
  • Substantial critical thinking and problem-solving abilities
  • Strong business sense combined with data analytic abilities to identify the key questions to ask from the dataset, provide clear answers, and explain the key findings
  • Nice to have some understanding of SQL
  • Excellent English communication skills, both conversational and written

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