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Data Scientist/Analyst

  • Location: Oshkosh
  • Type: Direct Hire
  • Job #3221

Carex is working with a partner that is a global organization with roots and a HQ in Wisconsin, and over 15,000 employees. We are helping to find and hire a Data Scientist/Analyst. Responsibilities include conducting all the steps of the data mining lifecycle with an emphasis on applying their expertise in math, statistics and building machine learning models. They will follow the CRISP-DM methodology. Critical thinking and problem-solving skills are essential, along with a passion for research. Their role will include mentoring other members of the Advanced Analytics & Insights team. They will be responsible for preparing and delivering the results of their analysis. The goal will be to help our company utilize data analytics to generate business value.

What you’ll do:

  • Acquire business understanding needed to conduct analysis through collaboration with business experts, external partners and research.
  • Identify valuable data sources and automate collection processes.
  • Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.
  • Build predictive models and machine-learning algorithms.
  • Present information using data visualization techniques.
  • Propose solutions and strategies for business value generation.
  • Collaborate with team members in all functions, including sales, operations, supply chain, engineering, product development, finance, HR, etc.

What you’ll bring:

  • Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, Engineering or relevant field.
  • Eight (8) or more years’ experience working as a data analyst, engineer, or scientist.

Standout qualifications:

  • Graduate degree in Data Science or another quantitative field.
  • Technical expertise regarding data models, database design and management for structured and unstructured data (SQL Server, Netezza, IBM DB2, HDFS, Spark, etc.).
  • Excellent communication and presentation skills to sell use cases and research results.
  • Strong math skills (e.g. statistics, algebra) and experience using statistical packages for analyzing datasets (SPSS, SAS, etc.).
  • Knowledge of and experience with data mining, segmentation, machine-learning and optimization techniques (SPSS, R, CPLEX, etc.).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Knowledge of and experience with data visualization and reporting packages (Cognos Analytics, Watson Analytics, PowerBI, etc.), databases (SQL, etc.), programming (Python, JavaScript, Scala, ETL tools, etc.).
  • Aptitude for working in a fast-paced collaborative team environment with proven experience as a self-starter and problem-solver.
  • Excellent interpersonal skills as well as the ability to effectively present information and respond to questions from leaders and peers.


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