Clarios
Data Scientist
Clarios, Milwaukee, Wisconsin, United States, 53244
About the Job:
Clarios is looking to hire a Data Scientist with strong problem-solving skills that can combine expert statistical modeling with machine learning best practices to support Clarios Business. In this role, you will help global functions gain new insights and make better decisions using state-of-the-art statistical and ML techniques. You will also support current initiatives to improve core processes in manufacturing and quality using data collected at the machine level in all our plants. You will report to Sr. Manager, Analytics Solution Delivery.
Responsibilities:
Utilize a variety of techniques, including statistics, algorithm development and machine learning, to develop data-driven solutions to solve complex problems.Utilize machine learning algorithms to detect patterns and generate insights from data.Analyze data using various techniques like linear regression, logistic regression, clustering, etc.Create predictive models and other analytical solutions, using data mining and data analysis techniques.Create visualizations to present data and insights.Monitor data quality and accuracy.Troubleshoot and debug errors in data analysis.Collaborate with stakeholders and engineers to identify opportunities for leveraging company data to drive business solutions.Work collaboratively with other data scientists, engineers, and business stakeholders to craft solutions.Communicate details of the data-driven decision process to non-technical stakeholders.Support other areas of the company in need of ML/statistical solutions.Required Qualifications:
BS in Statistics, Mathematics, Computer Science, Physics/Science or a related engineering field.3+ years of experience or equivalent academic experience with a masters/PhD program in a relevant field.Proficiency programming with Python, Julia or R and ML/statistics packages such us Scikit-Learn, Scipy, Statsmodels, PyTorch, Keras.Experience with Power BI or Tableau.Good understanding of probability, statistics (hypothesis testing, design of experiments, power calculations, mixed-effect models), linear algebra, and mathematical bases of machine learning methods.Good understanding of machine learning techniques for supervised/unsupervised learning, feature selection, dimensionality reduction, regression, classification clustering, time series analysis.Experience interacting with databases and writing SQL queries.Experience developing, training, validating, and deploying ML/statistical models.Experience using data visualization techniques for data analysis and model explanation.Experience effectively collaborating with non-technical stakeholders.Candidates must be self-driven, curious, and creative. Candidate must demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment.The ability to travel up to 10%, as needed by the business.Preferred Qualifications:
Experience and understanding of different deep learning architectures and how each of them can be applied to different problems.Experience with big data technologies such as Databricks, Spark, Snowpark, etc.Experience with cloud technologies such as Microsoft Azure, AWS.Experience deploying machine learning solutions for production (e.g., REST APIs in Azure ML, Docker, Kubernetes) in large data science projects.Experience mentoring Analysts and/or Data Scientists.Experience with any of the following: causal inference, probabilistic graphical models, Bayesian statistics, probabilistic programming languages (Stan) and/or packages (PyMC, PyStan) is a plus.Experience working in manufacturing, IoT, vehicle data, and/or battery engineering is a plus.Publications in peer-reviewed journals and/or conferences related to statistics, mathematics, machine learning is a plus.Who we are:
Clarios is the creator behind the world’s most recognizable car battery brands. We are the car battery found in most new vehicles including leading brands such as Ford, General Motors, Toyota, Honda, and Nissan. Our 16,000 employees develop, manufacture, and distribute batteries for virtually every type of vehicle. We recover, recycle, and reuse up to 99% of our battery materials, leading sustainability practices in our industry. Clarios, formerly Johnson Controls Battery Group, is currently a Brookfield portfolio company. Learn more about us at www.clarios.com.
We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process by emailing Special.Accommodations@Clarios.com. We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, gender, ethnicity, and all other characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report. We want you to know your rights because EEO is the law.
To all recruitment agencies:
Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
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Clarios is looking to hire a Data Scientist with strong problem-solving skills that can combine expert statistical modeling with machine learning best practices to support Clarios Business. In this role, you will help global functions gain new insights and make better decisions using state-of-the-art statistical and ML techniques. You will also support current initiatives to improve core processes in manufacturing and quality using data collected at the machine level in all our plants. You will report to Sr. Manager, Analytics Solution Delivery.
Responsibilities:
Utilize a variety of techniques, including statistics, algorithm development and machine learning, to develop data-driven solutions to solve complex problems.Utilize machine learning algorithms to detect patterns and generate insights from data.Analyze data using various techniques like linear regression, logistic regression, clustering, etc.Create predictive models and other analytical solutions, using data mining and data analysis techniques.Create visualizations to present data and insights.Monitor data quality and accuracy.Troubleshoot and debug errors in data analysis.Collaborate with stakeholders and engineers to identify opportunities for leveraging company data to drive business solutions.Work collaboratively with other data scientists, engineers, and business stakeholders to craft solutions.Communicate details of the data-driven decision process to non-technical stakeholders.Support other areas of the company in need of ML/statistical solutions.Required Qualifications:
BS in Statistics, Mathematics, Computer Science, Physics/Science or a related engineering field.3+ years of experience or equivalent academic experience with a masters/PhD program in a relevant field.Proficiency programming with Python, Julia or R and ML/statistics packages such us Scikit-Learn, Scipy, Statsmodels, PyTorch, Keras.Experience with Power BI or Tableau.Good understanding of probability, statistics (hypothesis testing, design of experiments, power calculations, mixed-effect models), linear algebra, and mathematical bases of machine learning methods.Good understanding of machine learning techniques for supervised/unsupervised learning, feature selection, dimensionality reduction, regression, classification clustering, time series analysis.Experience interacting with databases and writing SQL queries.Experience developing, training, validating, and deploying ML/statistical models.Experience using data visualization techniques for data analysis and model explanation.Experience effectively collaborating with non-technical stakeholders.Candidates must be self-driven, curious, and creative. Candidate must demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment.The ability to travel up to 10%, as needed by the business.Preferred Qualifications:
Experience and understanding of different deep learning architectures and how each of them can be applied to different problems.Experience with big data technologies such as Databricks, Spark, Snowpark, etc.Experience with cloud technologies such as Microsoft Azure, AWS.Experience deploying machine learning solutions for production (e.g., REST APIs in Azure ML, Docker, Kubernetes) in large data science projects.Experience mentoring Analysts and/or Data Scientists.Experience with any of the following: causal inference, probabilistic graphical models, Bayesian statistics, probabilistic programming languages (Stan) and/or packages (PyMC, PyStan) is a plus.Experience working in manufacturing, IoT, vehicle data, and/or battery engineering is a plus.Publications in peer-reviewed journals and/or conferences related to statistics, mathematics, machine learning is a plus.Who we are:
Clarios is the creator behind the world’s most recognizable car battery brands. We are the car battery found in most new vehicles including leading brands such as Ford, General Motors, Toyota, Honda, and Nissan. Our 16,000 employees develop, manufacture, and distribute batteries for virtually every type of vehicle. We recover, recycle, and reuse up to 99% of our battery materials, leading sustainability practices in our industry. Clarios, formerly Johnson Controls Battery Group, is currently a Brookfield portfolio company. Learn more about us at www.clarios.com.
We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process by emailing Special.Accommodations@Clarios.com. We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, gender, ethnicity, and all other characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report. We want you to know your rights because EEO is the law.
To all recruitment agencies:
Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
#J-18808-Ljbffr