Data Science and Machine Learning Associate

Position Details

Dearborn, Michigan
• Data Science and Machine Learning Associate #1049961

Employees in this job function are responsible for predicting and/or extracting meaningful trends, patterns, and recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.

• Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision‑making.
• Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data‑driven decision‑making.
• Apply various analytics techniques such as data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms to analyze data and uncover meaningful patterns, relationships, and trends.
• Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation.
• Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness.

• Professional
  
  Experience:
  
  5+ years in a Data Science role with a proven track record of delivering models that impact business outcomes.
• Programming Expertise:
  Expert proficiency in Python (Pandas, Num Py, Scikit‑learn, Sci Py) or R.
• Machine Learning Foundations:
  Deep understanding of a broad range of ML techniques, including Gradient Boosting (XGBoost/Light
  
  GBM), Random Forests, GLMs, and clustering.
• Advanced SQL:
  Ability to manipulate and extract data from complex, multi‑terabyte distributed databases.
• Mathematics & Statistics:
  Strong foundation in linear algebra, calculus, and advanced statistical inference.
• Software Best Practices:
  Experience with version control (Git) and writing clean, modular, and maintainable code.

• Algorithms
• Python
• Google Cloud Platform (GCP)

• Senior Associate: 3 to 5 years in relevant field.

• Master's Degree

• Model Development:
  Design, develop, and deploy high‑performance machine learning models (supervised, unsupervised, and reinforcement learning) for business needs such as churn prediction, recommendation engines, or demand forecasting.
• Experimental Design:
  Lead the design and analysis of large‑scale experiments (A/B testing, multivariate testing) to validate hypotheses and measure the impact of product changes.
• Feature Engineering:
  Architect and implement robust data pipelines and feature engineering processes to improve model accuracy and scalability.
• Algorithm Optimization:
  Evaluate and refine existing algorithms to improve computational efficiency and predictive power.
• Stakeholder Influence:
  Act as a strategic advisor to leadership, translating complex algorithmic outcomes into business‑centric narratives that drive ROI.
• Technical Leadership:
  Mentor junior data scientists and contribute to the team's internal library of best practices, code standards, and research methodologies.
• Collaboration with Engineering:
  Partner with ML Engineers and Dev Ops to integrate models into production systems, ensuring reliability and monitoring model drift.

• Medical and Dental (Fast Tek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar‑for‑dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.

We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.

All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.

If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.

Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.

To learn more or exercise your rights, please contact us at