Lead Data Scientist

 

Description:

As a data scientist and software engineer you will develop the LEAF platform and use it on a variety of projects related to optimizing data-driven decision making. You are a data scientist and Python developer with knowledge in multiple technologies; you are driven, curious and passionate about your work; you are innovative, creative and focused on excellence; and you want to be part of an ego-free work environment where we value honest, healthy interactions and collaboration.

Key Responsibilities
 

  • Design, implement and deploy software applications that analyze datasets, train predictive and prescriptive models, assess uncertainties and interactively present results to end users.
  • Develop data models and algorithms to support decision-making processes.
  • Monitor and analyze the performance of software applications and infrastructure.
  • Collaborate with cross-functional teams to identify and prioritize business requirements.
  • Design and implement data visualizations to communicate complex data insights to key stakeholders.
  • Be customer advocate that implements our LEAF offering.
  • Work in a highly collaborative, fast-paced environment with your peers on the LEAF team
     

Your Profile
 

  • Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or related field.
  • 5+ years of experience in software engineering and data science.
  • Strong programming skills in Python, Pandas, Numpy, Jupyter Notebook, GitHub.
  • Knowledge of data visualization tools (e.g. Matplotlib, Tableau, …)
  • Experience with machine learning and neural networks is a plus.
  • Knowledge of Generative AI and LLMs is a plus.
  • Strong problem-solving and analytical skills.
  • Strong attention to detail and ability to work independently.
  • Excellent verbal and written communication skills in English.

Organization Cognizant
Industry IT / Telecom / Software Jobs
Occupational Category Lead Data Scientist
Job Location California,USA
Shift Type Morning
Job Type Full Time
Gender No Preference
Career Level Experienced Professional
Experience 5 Years
Posted at 2024-03-30 12:47 am
Expires on 2024-12-15