Search for Reliability Data Scientist roles in Dearborn, MI, requiring 3+ years of experience, focused on automotive industry, with expertise in Python and machine learning models.

Okay, I've searched for Reliability Data Scientist roles in Dearborn, MI, requiring 3+ years of experience, specifically in the automotive industry, with a focus on Python and machine learning models. I have found 52 positions for you.

Reliability Data Scientist

Dearborn, MI

3 years + Experience

Automotive

Python

Machine Learning

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Reliability Data Scientist role at Ford is fundamentally about using advanced statistical and machine learning techniques to enhance the reliability of automotive components, an area critical to maintaining high standards of excellence and safety in the automotive industry. This candidate is not just expected to develop models but to translate complex data into actionable insights that inform strategic decisions across the company, showcasing the intersection of data science with real-world automotive challenges. Key responsibilities will include collaborating across diverse teams to synthesize stakeholder needs into data-driven recommendations and ensuring technical findings are communicated effectively to varied audiences. The candidate will also face the challenge of integrating large datasets, such as warranty and field performance data, within the framework of reliability analysis, thus honing their skills in handling ambiguity and managing expectations from different stakeholders. Success in this role will be reflected in improvements in vehicle reliability metrics, stakeholder satisfaction with data-driven insights, and successful deployment of models that enhance decision-making processes fresh out of the gate and over the first year.

Company Analysis:

Ford Motor Company occupies a unique position as a legacy auto manufacturer that is pivoting towards innovation in electric and connected vehicles, making it both a traditional powerhouse and a forward-looking disruptor within the mobility landscape. The company’s deep-seated commitment to serving customers and communities aligns with their focus on quality data and analytics, particularly as they reinvent mobility solutions for the future. The culture is collaborative and multifaceted, likely influenced by a blend of traditional automotive engineering values and a modern approach geared towards innovation and sustainability. The Reliability Data Scientist will find themselves in a dynamic, multi-disciplinary team that prioritizes diversity and communication, potentially elevating the importance of their role in shaping the company’s reliability standards. Given the strategic aim of the organization to enhance its competitive edge through data-driven decisions, this position is more than just a contributor role; it is pivotal for driving growth and innovation in product reliability, underscoring the alignment between the position and Ford’s broader goals. As such, candidates should be prepared to fit into a team that values agility, technical proficiency, and a strong understanding of reliability engineering principles that resonate with contemporary automotive expectations.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to communicate complex technical findings to a non-technical audience. How did you ensure they understood the key points?
Describe a project where you successfully used statistical analysis to improve a process or solve a problem. What was your approach and the outcome?
Can you give an example of a challenging data project you worked on? What were the main challenges, and how did you overcome them?
How do you keep yourself updated with emerging trends in machine learning and data science? Can you share a recent technique you’ve learned and how it can be applied?
How would you approach developing a statistical model for analyzing warranty data for vehicle components? What variables would you consider?
What machine learning libraries are you most proficient in, and how have you used them in previous projects?
Imagine you are tasked with improving vehicle reliability metrics based on warranty data. What steps would you take in your analysis?
If you were leading a project that required cross-functional collaboration, how would you ensure all team members are on the same page?
Why are you interested in working at Ford Motor Company specifically? How do you see your values aligning with the company's mission?
In your opinion, what role does reliability data play in influencing consumer trust in automotive brands?
What do you think are the biggest challenges facing automotive reliability in the next few years, and how should Ford address them?
What interests you most about the Reliability Data Scientist position, and how does it align with your career trajectory?
What insights do you hope to bring to Ford through your role as a Reliability Data Scientist?

Job Details

Overview Company

Reliability Data Scientist

Ford Motor Company

2 days ago

Highlight

HybridFull-time3+ yearsMid

Summary

Ford Motor Company is seeking a Reliability Data Scientist to join their team in Dearborn, MI. The role involves driving advanced reliability and statistical analysis using data science and machine learning techniques.

About the Role

As a Reliability Data Scientist, you will develop and implement advanced statistical and AI/ML models for the reliability performance of automotive components. You will work with large datasets, perform ad-hoc analyses, and communicate complex technical findings to various audiences. You will collaborate with a multi-disciplinary team and stay updated with the latest advancements in machine learning and data science.

About You

Required:

Master's (PhD preferred) degree in Applied Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field.
Proven experience (3+ years) developing and deploying advanced statistical and AI/ML models.
Strong understanding of statistical modeling techniques, including survival analysis, stochastic process models, regression analysis, and time series analysis.
Proficiency in programming languages such as Python or R, and experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.
Experience with data visualization tools like Tableau, Power BI, Matplotlib, or Seaborn.
Excellent communication and interpersonal skills.
Demonstrated ability to work both independently and collaboratively in a multi-disciplinary team.
Experience with model deployment and monitoring.

Preferred:

Familiarity with reliability engineering principles and practices.
Experience with cloud computing platforms such as Google Cloud.
Experience with MLOps practices.
Familiarity with automotive warranty data and industry practices.

Benefits

Immediate medical, dental, vision, and prescription drug coverage.
Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care.
Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments.
Vehicle discount program for employees and family members and management leases.
Tuition assistance.
Established and active employee resource groups.
Paid time off for individual and team community service.
A generous schedule of paid holidays, including the week between Christmas and New Year’s Day.
Paid time off and the option to purchase additional vacation time.

Ford Motor Company

We don't just make history -- we make the future. Ford put the world on wheels over a century ago, and our teams are re-inventing icons and creating groundbreaking connected and electric vehicles for the next century. We believe in serving our customers, our communities, and the world. If you do, too, come move the world and make the future with us.

Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.

Dearborn, MI