Data Scientist - PECNA

Overview

The following information provides an overview of the skills, qualities, and qualifications needed for this role.

We are proud to announce the establishment of a state-of-the-art Li-ion battery factory, set amidst the beautiful Kansas City Metro.

This groundbreaking green-field factory will serve as a pioneering hub for innovation in sustainable energy solutions.

Responsibilities

If you are enthusiastic about contributing to a sustainable future and being part of a dynamic team shaping the electric vehicle revolution, this opportunity is tailor-made for you.

We are seeking dedicated individuals to join us as full-time, on-site team members at our new, ultramodern factory located in the thriving city of DeSoto, Kansas.

Job Summary

The Data Scientist acts as the data analytical expert at the company, creating processes for data modeling and identifying business problems based on highly technical use of all datasets.

The Data Scientist will apply advanced statistical methods and modeling to proactively explore key datasets based on business need.

This role will define the statistical modeling standards and assist with educating other analyst team members on best practices.

Additionally, the Data Scientist will identify gaps in existing data that would lead to further meaningful data insights for business use.

Essential Duties

• Collaborate with other internal and external team members to identify business cases for new analytical model creation.
• Create and implement strategy for analytical modeling from start to end based on business need (data access, processing and aggregation and model creation, deployment, and verification).
• Develop and implement machine learning models to solve business problems and improve processes.
• Apply advanced statistical methods and data modeling processes to create algorithms based on business cases.
• Translate ontology-based data contextualization into business benefits.
• Verify data models with subject matter experts and monitor the model’s efficacy in production.
• Define standard processes for modeling data and train fellow scientists and analysts on best practices for data model creation.
• Function as subject matter expert for advanced analytical techniques (statistical analytics, machine learning, deep learning, etc.).
• Explore areas of gaps in existing datasets for kickstarting new data acquisition projects based on business case.
• Research and monitor new related technologies and systems and develop strategies for implementing advanced analytical modeling for business use.
• Ensure data analysis and reporting processes comply with industry standards and regulations related to battery manufacturing and safety.

Personal Protective Equipment (PPE) Requirements

To ensure the health and safety in the workplace and for the protection of our employees, wearing PPE is a possibility and may include equipment such as a full Tyvek suit, safety shoes, gloves, safety glasses, face mask, bump cap, and a full hazmat suit that includes a respirator.

Qualifications : Education

Education

• Basic / Required : Bachelor’s Degree in quantitative field (Computer Science, Statistics, Mathematics, Information Systems, etc.).
• Preferred : Masters degree.

Essential Qualifications

• Minimum of 5+ years of professional experience in Data science, Machine Learning, or related field.
• Experience working with big datasets in the following stages : acquisition, aggregation, analysis, and visualization at semiconductor / manufacturing industry.
• Expert understanding and knowledge in algorithms and advanced statistics.
• Experience with advanced analytical techniques (statistical analytics, machine learning, deep learning, etc.).
• Experience with Big Data technologies : Hadoop, Spark, or similar.
• Programming skills for data science required (SQL, Python, R, Java, etc.).
• Familiarity with machine learning frameworks such as TensorFlow, Keras, or scikit-learn.
• Knowledge of cloud platforms : AWS, Azure, or Google Cloud.
• Experience with developing data modeling processes and critical thinking mindset.
• Must be able to learn and understand equipment capabilities, operation flow, and data flow logics.
• Excellent oral and written communication skills required, ability to describe technical theory to technical and non-technical audience.

Preferred Qualifications

• Able to work independently and in a team environment, as well as with cross-functional groups.
• Resilient, self-motivated and able to work well under pressure.
• Alignment to Panasonic’s seven (7) core principles (contribution to society, fairness and honesty, cooperation and team spirit, untiring effort for improvement, courtesy and humility, adaptability, gratitude).
• Knowledge of manufacturing, smart factories.

Preferred License(s)

None.

Preferred Certification(s)

None.

Physical Demands

Physical Activities : (Percentage of time (equaling 100%) during the normal workday the employee is required to)

• Sit : 20%
• Walk : 50%
• Stand : 20%
• Lift : 10%

Required Lifting and Carrying : (Required frequency is : Not required (0%), Occasional (1-33%), Frequent (34-66%, Continuous (67-100%))

• Up to 10 lbs. : Occasional.
• Up to 20 lbs. : Occasional.
• Up to 35 lbs. : Occasional.
• Team-lift only (over 35 lbs.) : Occasional.

About Us :

At the heart of this visionary project, Panasonic is committed to manufacturing innovative cylindrical lithium-ion cells that will power the future of electric mobility.

These cells will be meticulously crafted to meet the growing demands of the automotive industry, supporting various electric vehicle manufacturers in their quest for eco-friendly transportation solutions.

This role presents a unique chance to be at the forefront of innovation, working within a forward-thinking organization that is committed to environmental responsibility and the advancement of green technology.

Be a part of our mission to power the future and make a difference in the world of electric mobility with Panasonic!

Supplemental Information : Pre-employment drug testing is required. Due to the high volume of responses, we will only be able to respond to candidates of interest.

All candidates must have valid authorization to work in the U.S. without restriction.

Panasonic is an Equal Opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law.

All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation.

Thank you for your interest in Panasonic Energy Corporation of North America.

REQ-146564

J-18808-Ljbffr