Data Scientist

ArtiFlex Manufacturing

$95K — $115K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field
  • 3+ years of experience in Data Science, Business Analytics, or a related field
  • Strong database management skills using SQL for querying and analyzing data
  • Experience with Python and foundational knowledge of supervised and unsupervised machine learning techniques
  • Strong analytical and problem-solving skills
  • Effective communication with both technical and non-technical teams
  • Proactive approach in understanding data and business needs

Responsibilities

  • Design, build, and deploy machine learning algorithms and predictive workflows
  • Support the development of forecasting and other data models
  • Clean, preprocess, and integrate large structured and unstructured datasets
  • Ensure data accuracy and usability across systems
  • Partner with cross-functional teams to understand data needs
  • Translate analytical results into actionable recommendations for stakeholders
  • Track, maintain, and optimize live models for ongoing accuracy

Benefits

  • Opportunity for growth in data modeling, forecasting, predictive analytics and AI-driven solutions
  • Collaborative environment with cross-functional teams
  • Exposure to advanced technologies including AWS, Azure ML/AI, and Power BI
  • Clear pathway to understanding organizational data needs
  • Flexible work schedule with potential travel to various locations
Full Job Description
Data Scientist
Help Build the Data Behind What's Next

We're looking for a Data Scientist to help build and support this evolving data environment. You'll work with complex data, develop analytical and predictive solutions, and partner with business and technical teams to turn data into useful information and insights.
What You'll Do

Model Development
  • Design, build, and deploy machine learning algorithms, statistical models, and predictive workflows.
  • Support the development of forecasting and other data models as the organization's data foundation develops.

Data Observation & Management
  • Clean, preprocess, and integrate large structured and unstructured datasets from multiple sources.
  • Help ensure data is accurate, current, and usable across the organization's systems.

Cross-Functional Collaboration
  • Partner with product, production, services, engineering, and other business teams to understand data needs, challenges, and how data is used.
  • Work with business and technical teams to support the development and integration of data science solutions, while building relationships with business leaders and data owners to identify improvement opportunities.

Business Insights
  • Translate complex analytical results into clear, actionable recommendations for business and executive stakeholders.
  • Help make organizational data more accessible and useful through ArtiFlex's proprietary Data Link and AI-enabled tools.

Performance Monitoring
  • Track, maintain, and optimize live models to support ongoing accuracy and business value.
  • Monitor data quality and identify opportunities for improvement.
This Role May Be for You If...
  • You have a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
  • You have 3+ years of experience in Data Science, Business Analytics, or a related field.
  • You have strong database management skills using SQL for querying, aggregating, and analyzing data.
  • You have experience with Python and a solid foundation in supervised and unsupervised machine learning techniques.
  • You have strong analytical and problem-solving skills.
  • You communicate effectively with both technical and non-technical teams.
  • You are proactive and interested in understanding both the data and the business needs behind it.
Technology & Tools

Our environment includes technologies such as Python, Databricks, Delta Lake, AWS (Amazon Web Services), Microsoft Azure, Azure ML/AI, Azure Cognitive Services, SAS, R, SQL, DB2, GitHub, and Power BI.

You do not need to be an expert in every technology listed. We're looking for strong data science fundamentals and the ability to learn and work across a modern data and AI environment.
What Success Looks Like

In your first 6-12 months, success will mean making measurable progress in cleaning and improving our data, developing proactive processes with data owners, and building relationships with business leaders to understand their data needs and challenges.

As the data foundation develops, you'll have the opportunity to expand into data modeling, forecasting, predictive analytics, and AI-driven solutions.
A Few More Details
  • Reports to: IT Director
  • Typical Schedule: Monday-Friday, 7:30 a.m.-4:30 p.m.
  • Location: While having a home base, this individual will be expected to meet with leaders across all of ArtiFlex locations in Michigan and Ohio.
  • Citizenship: Due to the nature of the role, candidates must be a US Person.

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