Artech
Introduction
Join our dynamic team in Auburn Hills, MI, where you will have the opportunity to work on innovative projects in a collaborative environment. We are seeking talented individuals who are passionate about data science and eager to make an impact in the manufacturing sector.
Required Skills & Qualifications 8 Years of working expereince as a Data Scientist/Data Engineer Proficiency in Python or R for data analysis and modeling Strong knowledge of SQL and experience with relational databases Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost) Solid understanding of statistics, probability, and hypothesis testing Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms like AWS, GCP, or Azure Experience in MLOps and CICD workflows Experience in forecasting and predictive modeling Knowledge of deep learning frameworks (e.g., PyTorch) Ability to mentor and motivate team members towards success Preferred Skills & Qualifications
Experience in developing end-to-end pipelines in cloud platforms Day-to-Day Responsibilities
Analyze large, complex datasets to identify trends and opportunities Develop and deploy machine learning models to solve business challenges Communicate findings through data visualizations and reports Collaborate with cross-functional teams to turn insights into action Design and implement AB tests to evaluate feature performance Translate business problems into data science problems Monitor and improve the performance of deployed models
For immediate consideration please click APPLY
Join our dynamic team in Auburn Hills, MI, where you will have the opportunity to work on innovative projects in a collaborative environment. We are seeking talented individuals who are passionate about data science and eager to make an impact in the manufacturing sector.
Required Skills & Qualifications 8 Years of working expereince as a Data Scientist/Data Engineer Proficiency in Python or R for data analysis and modeling Strong knowledge of SQL and experience with relational databases Experience with machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, XGBoost) Solid understanding of statistics, probability, and hypothesis testing Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms like AWS, GCP, or Azure Experience in MLOps and CICD workflows Experience in forecasting and predictive modeling Knowledge of deep learning frameworks (e.g., PyTorch) Ability to mentor and motivate team members towards success Preferred Skills & Qualifications
Experience in developing end-to-end pipelines in cloud platforms Day-to-Day Responsibilities
Analyze large, complex datasets to identify trends and opportunities Develop and deploy machine learning models to solve business challenges Communicate findings through data visualizations and reports Collaborate with cross-functional teams to turn insights into action Design and implement AB tests to evaluate feature performance Translate business problems into data science problems Monitor and improve the performance of deployed models
For immediate consideration please click APPLY