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Data Scientist

Job in Milwaukee, Milwaukee County, Wisconsin, 53244, USA
Listing for: GetJobSmart
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 100000 - 144811 USD Yearly USD 100000.00 144811.00 YEAR
Job Description & How to Apply Below

Onyx Global Corp. seeks a Data Scientist in Milwaukee, WI, for a full-time position. The role involves analyzing complex data sets to extract actionable insights.

Day-to-day tasks include cleaning and preparing data, performing statistical modeling, and developing predictive algorithms. This involves identifying and correcting errors in datasets, transforming data into a suitable format, and ensuring data quality. You'll also work on building and refining statistical models to understand patterns and relationships within the data. Additionally, you'll develop and implement predictive algorithms that can forecast outcomes based on historical data.

Collaborating with cross-functional teams, you'll work on implementing data-driven solutions that address business challenges. This involves communicating technical insights to non-technical stakeholders, aligning data strategies with business objectives, and ensuring the successful deployment of data solutions.

The team operates in a collaborative environment at Onyx Global Corp. in Milwaukee, WI. The workplace culture emphasizes innovation and continuous learning.

  • The salary range for this position is between $100,000 and $144,811 per year, providing a competitive compensation package.
  • In addition to the base salary, employees are offered comprehensive benefits, which include health insurance to cover medical expenses, retirement plans to help save for the future, and opportunities for professional development to enhance skills and advance in their careers.

Candidates must have a Master's degree in Data Science, Statistics, or a related field. Experience with Python, R, and SQL is required. Knowledge of machine learning frameworks is a plus.

The deadline for submission is set for November 22, 2026.

  • Design and implement data models to support business decisions
  • Analyze large datasets to identify trends and insights
  • Develop and deploy machine learning models to solve complex problems
  • Collaborate with cross-functional teams to translate business needs into data solutions
  • Communicate findings and recommendations to stakeholders in a clear and concise manner
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
  • 3+ years of experience in data science or a related field
  • Proficiency in Python, R, or SQL
  • Experience with machine learning libraries such as Tensor Flow, PyTorch, or scikit-learn
  • Strong communication and presentation skills
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