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Sr Data Scientist

Johnson Controls

Sr Data Scientist

Johnson Controls

San Pedro Garza Garcia-Nuevo Leon-Mexico

·

On-site

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

Learning Budget

Healthcare

Learning

Required Skills

Python

Machine Learning

Generative AI

Time Series Analysis

PyTorch

TensorFlow

scikit-learn

Johnson Controls is a global leader in smart, healthy, and sustainable buildings. With operations in over 150 countries, we are committed to driving innovation and excellence in building technologies and integrated solutions. Our people are at the heart of our success, and we are passionate about attracting and developing top talent across the globe. We are looking for a Sr Data Scientist.

What will you do?

Johnson Controls is seeking a Senior Data Scientist to join our Data Strategy & Intelligence team. The successful candidate will leverage their expertise in machine learning, Generative AI, and time series analysis to develop and deploy robust data solutions that optimize building operations and enhance user experience.

How will you do it?

  • Develop and maintain AI algorithms and capabilities within digital products leveraging data from commercial buildings.

  • Optimize building energy consumption, occupancy levels, and reduce CO2 emissions.

  • Generate actionable insights to improve building operations.

  • Translate complex data into direct recommendations for various stakeholders.

  • Collaborate with product managers and cross-functional teams to integrate AI capabilities into existing products.

  • Research and implement state-of-the-art techniques in Generative AI solutions.

  • Design and develop ML and time series prediction solutions addressing complex business requirements.

  • Write high-quality Python code to develop scalable and production-ready ML models.

  • Develop and maintain AI model integration pipelines and ensure optimal performance through testing.

What are we looking for?

  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.

  • 7+ years of experience in developing and deploying machine learning models.

  • Expertise in Python and familiarity with ML libraries such as Py Torch, Tensor Flow, and scikit-learn.

  • Strong understanding of machine learning algorithms including regression, classification, clustering, deep learning, and time-series prediction.

  • Experience with Large Language Models (LLM) and advanced prompt engineering techniques.

  • Excellent communication skills and the ability to collaborate with cross-functional teams.

What do we offer?

  • Comprehensive benefits package.

  • Opportunities for professional growth and development.

  • Supportive and inclusive work environment.

  • Commitment to work-life balance and employee well-being.

  • Engagement in meaningful projects that make a difference.

Johnson Controls does not request pregnancy or HIV testing as a condition for hiring, continued employment, or promotion, in accordance with its commitment to labor equality and non-discrimination.

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About Johnson Controls

Johnson Controls

Making buildings smarter.

Cork

Headquarters

Reviews

3.7

42 reviews

Work Life Balance

3.7

Compensation

4.0

Culture

3.9

Career

3.6

Management

3.6

74%

Recommend to a Friend

Pros

Good work-life balance and flexible environment

Competitive compensation and benefits

Opportunity for career growth

Cons

Work-life balance varies by team

Room for improvement in processes

Internal communication could improve

Salary Ranges

920 data points

Junior/L3

Junior/L3 · Data Scientist

0 reports

$128,000

total / year

Base

$128,000

Stock

-

Bonus

-

$108,800

$147,200

Interview Experience

5 interviews

Difficulty

2.2

/ 5

Duration

14-28 weeks

Offer Rate

20%

Experience

Positive 40%

Neutral 40%

Negative 20%

Interview Process

1

Application Review

2

HR Screen

3

Technical/Aptitude Assessment

4

Hiring Manager Interview

5

Onsite/Virtual Interview

6

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Role-Specific Skills