Are you looking for a role where you can use your data scientist experience to make a difference in the automotive industry? Would you like to work for a company that provides an innovative work environment, flexible schedules, and ongoing professional development?

Who we are:

LER TechForce is an industry leader in embedded controls, software, functional safety, and engineering IT talent. For over 20 years LER has been working with customers across North America to meet their engineering resource challenges.

We are looking for a proactive Data Scientist with 4+ years of experience to join our team. This role will involve collaborating closely with Product Owners and Data Engineers to develop advanced algorithms and digital features. You will be working primarily with time series data from various controllers that transmit data via telematics, with a focus on descriptive and predictive modeling to optimize equipment uptime and minimize downtime. Our products serve the Mining and Power Generation sectors worldwide, requiring expertise in data science with a controls engineering background and the ability to work in a global, cross-functional environment.

What you will be doing:

Develop new or modify existing algorithms and features that leverage Python, SQL, Databricks, and PySpark to enhance data analytics and processing capabilities.
Design, implement, and validate descriptive and predictive models, utilizing time series data to assess and predict equipment downtime and failure modes.
Tune existing machine learning models.
Work collaboratively with Product Owners and Data Engineers to define requirements, gather and curate data, and develop digital solutions to enhance equipment reliability and performance.
Process and curate data from controllers across telematics systems, ensuring data quality and readiness for model training and development.
Analyze, interpret, and model time series data to drive actionable insights for product performance and predictive maintenance.
Communicate findings, challenges, and solutions effectively with global teams, stakeholders, and non-technical audiences.

The ideal candidate will be knowledgeable in the following areas:

Proficiency in Python and SQL
Experience with PySpark for big data processing
Databricks
Experience with tuning machine learning models
Solid understanding of time series data analysis and predictive modeling
Experience with real-time telemetry data acquisition from a network of distributed Modbus controllers is a plus.
Industry experience with embedded controls for industrial or automotive applications
Experience working in Mining, Power Generation, or related heavy equipment industries
Familiarity with data engineering and pipeline development
Experience with global teams and the ability to navigate cross-cultural interactions

What you'll get:

Full benefits: medical, dental, 401K match
Ongoing professional development opportunities
Flexible Hybrid schedule
The opportunity to work on industry leading projects

What you'll need to be successful:

College, university, or equivalent Bachelor's degree in Engineering or other relevant technical disciplines.
Minimum of 4 years of hands-on experience in data science, with a background in embedded controls engineering preferred.
Proficiency in Python and SQL.
Experience with PySpark for big data processing.
Azure cloud experience is highly desired.
Databricks experience is highly desired.
Solid understanding of time series data analysis and predictive modeling.
Proactive, self-motivated, and capable of working independently in a global team environment.
Strong problem-solving skills with a proactive attitude and attention to detail.

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