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Data Scientist/Senior Data Scientist

Innovation & Technology
WD30062241017 Requisition #
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The future is being built today, and Johnson Controls is making that future more productive, more secure and more sustainable.  We are harnessing the power of cloud, data analytics, the Internet of Things, and user design thinking to deliver on the promise of intelligent buildings and smart cities that connect communities in ways that make people’s lives – and the world – better.

 You will be responsible for developing state-of-the-art Machine Learning (ML), Deep Learning (DL) and Artificial Intelligence (AI) analytics for IoT, smarter buildings, smarter cities, smarter environment, smart manufacturing and smart enterprises in the global data science organization of Johnson Controls.  You will be solving complex industrial problems using advanced ML, DL, AI and Mathematical Modeling and Optimization techniques with involvement in the whole cycle of data science tasks including data pre-processing, feature engineering, problem formulation, algorithmic selection/evaluation, modeling, hyper-parameter tuning and deployment of the solutions.

The data scientist role will work closely with platform engineering and product management, and Digital Solution Offerings and solution engineering to integrate results into operational platforms, including modern Big Data processing ecosystem including Hadoop and NoSQL architectures. 


You will be a member of a talented team that delivers contemporary ML/DL/AI solutions for all Johnson Controls Product Business. You will be executing data science driven projects as we build out capabilities and our architecture. 




Work on all stages of data science projects from understanding problem and data to implementing the solutions into products and service offerings.

Develop strong relationships with business, application and platform development team members by being proactive, displaying a thorough understanding of the business/product development processes and by recommending innovative ML/DL/AI solutions.

Provide data modeling, mining, pattern analysis, data visualization and ML/DL/AI solutions to address technical services, manufacturing and integrated supply chain needs.

Communicate project output in terms of customer value, business objectives, and product opportunity.

Promote data science methods and processes across functions.

Attend industry conferences to stay current on industry trends, challenges, and potential market opportunities.



Masters or Ph.D. degree in Predictive Analytics, Applied Mathematics, Applied Statistics, Computer Science, Artificial Intelligence, Operations Research, Physical Science, Actuarial Science, Business Analytics, Business Intelligence & Analytics, Applied Mathematics or Engineering.

1-10 years of industrial experience of developing practical ML/DL/AI applications.

Hand-on experience with modeling/development software (R, Python, Scikit-learn, Numpy, SciPy, Pandas, Matplotlib, Jupyter Notebook, Spark MLlib, TensorFlow, Theano, Keras, PyTorch).

Must be an expert in programming and data structure modeling.

Must know and has hand-on experience in Artificial Intelligence and Machine Learning including Statistical Learning, Reinforcement Learning, and Deep Learning (RNN/LSTM, AutoEnoder and CNN).

Deep familiarity with statistical models & methods (time-series analysis, regression analysis, experimental design, hypothesis testing, etc.).

Knowledge in logic programming, knowledge representation, reasoning, automated planning and scheduling.

Knowledge in thermodynamics, energy and HVAC system is plus.

Signal processing background is plus.

Strong data visualization skills is plus.

Experience with project leadership.

Experience bringing prototypes to production on Hadoop and/or NoSQL platforms.

Experience with text analytics.

Experience working with remote and global teams.

Results driven with a positive can do attitude.

Excellent collaboration and negotiation skills.

Highly team oriented. 

Ability to work collaboratively with development/implementation staff through the design and build of new business processes and systems.

In depth understanding of best-in-class model and data configuration and development processes.

Understanding of data science trends and future state technologies.

Ability to travel – up to 10%. Higher percentage (up to 25%) preferred but not required.

Johnson Controls is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit www.johnsoncontrols.com/tomorrowneedsyou.

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