Job Overview

Location
Menomonee Falls, United State
Job Type
Full Time
Date Posted
3 months ago

Additional Details

Job ID
26930
Job Views
32

Job Description

Core Job Responsibilities:

  • Construct and develop predictive/analytical models or Gen AI applications that are reliable and scalable.
  • Maintain and optimize existing machine learning models.
  • Aid in the implementation of machine learning models into production environments.
  • Utilize new tools and techniques to increase performance, automation, and scalability.
  • Report, visualize, and communicate findings to internal stakeholders regularly.
  • Engage in a "test and learn" team environment with a focus on continuous improvement and action.
  • Participate in the Data Science Community of Practice to foster continuous growth in knowledge and enhance collaborative skills.
  • Work with stakeholders to understand business questions and define requirements.
  • Examine relevant data to develop an analytics plan that answers key business questions.
  • Handle datasets of varied sizes and complexity, including structured and unstructured data.

Qualifications

  • Bachelor’s degree in a quantitative field such as Statistics, Engineering, Operational Research, Computer Science, or Mathematics. A Master’s degree is a plus.
  • 1-3 years of business experience in data analysis, data engineering, and predictive/simulation modeling, or strong academic performance in related fields.
  • Biopharmaceutical or healthcare experience a plus.
  • Experience in developing ML/AI models for real world business applications.
  • Experience with cloud big data environments such as AWS, GCP or MS Azure
  • Familiarity with visual workflow development analytics tools such as Dataiku or Alteryx
  • Understanding of algorithmic design and experience with analytical experimentation.
  • Proficiency in Python and SQL a must and experience with relevant BI tools (e.g., Power BI, Tableau) a plus.
  • Familiarity with data manipulation and analysis libraries to support quick iteration and experimentation.
  • Strong problem-solving skills and an eagerness to work collaboratively as part of a diverse team.
  • Excellent communication skills, both written and verbal.
  • A team-oriented attitude with a keen interest in personal and professional development.

Qualification

Any Graduate

Experience Requirements

Fresher Experience

Location

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