Data Scientist Lead/Manager

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:

• Sowcase 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