This person can sit remotely

What you will do

The Connected Services Unit intends to develop connected solutions to reduce/eliminate no-start failure & enable in use data, enabled by SMART AGM, sensors & OBD devices, communicated to the end user via API’s, dashboards, portals, mobile apps and targeting Heavy Duty & Auto for Fleets / Aftermarket / OE.

The Data Scientist will be responsible for developing battery health algorithms that are fed by real time vehicle data using state-of-the-art statistical and ML techniques. He/she will also support current initiatives to improve core processes in manufacturing and quality using data collected at the machine level in all our plants. From designing systems that monitor data streams to send signals and alerts to customers, to adding machine learning pipelines that enhance existing processes, their work will have an impact on the always relevant energy business.

How you will do it

• Build data analysis pipelines to understand vehicle signals related to battery usage in different vehicle applications.


• Build, develop, validate, and maintain models that will provide battery health assessments to customers of our connected battery products.


• Build data analysis pipelines to understand machine signals related to battery manufacturing processes.


• Build, develop, validate, and maintain models to optimize production throughput, decrease scrap rates, and improve product quality, among others.


• 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.

What we look for

• BS in Statistics, Mathematics, Computer Science, or a related engineering field.


• 3+ years of experience or equivalent academic experience with a master's/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, and 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.

Preferred

• 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: casual 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.

What you get:

• Medical, dental and vision care coverage and a 401(k) savings plan with company matching – all starting on date of hire


• Tuition reimbursement, perks, and discounts


• Parental and caregiver leave programs


• All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, Employee Assistance Program, and domestic partner benefits


• Global market strength and worldwide market share leadership


• HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility

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.

A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.

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.