Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Senior Data Scientist at Johnson Controls deploying AI/ML solutions to optimize building technologies and industrial IoT platforms. Collaborating with teams and mentoring junior data scientists in a hybrid work environment.
Responsibilities
- Design and deploy agentic AI systems that autonomously optimize building operations, energy consumption, and equipment performance
- Develop and implement advanced time series forecasting models for energy demand, equipment behavior, and operational patterns
- Apply signal processing techniques to analyze sensor data, detect anomalies, and extract meaningful patterns from noisy industrial environments
- Build end-to-end machine learning pipelines from data ingestion through model deployment and monitoring in production systems
- Lead predictive maintenance initiatives using ML models to forecast equipment failures and optimize maintenance schedules
- Collaborate with engineering and operations teams to translate business problems into practical data science solutions
- Mentor junior data scientists and establish best practices for model development and deployment
Requirements
- Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or related field
- 7+ years of professional experience developing and deploying ML/AI solutions in industrial, IoT, or similar environments
- Experience delivering at least 2-3 production ML models with measurable business impact
- Hands-on experience building agentic AI systems or autonomous decision-making algorithms
- Knowledge of reinforcement learning, multi-agent systems, or autonomous optimization frameworks
- Exposure to LLM-based agents, tool use, or reasoning frameworks for decision-making
- Solid understanding of supervised and unsupervised ML algorithms with deployment experience
- Experience with time series forecasting using methods like ARIMA, Prophet, LSTM, or similar approaches
- Familiarity with handling missing data, outliers, and non-stationary time series
- Working knowledge of digital signal processing including filtering, FFT, and spectral analysis
- Experience processing sensor data from industrial equipment (vibration, temperature, pressure, acoustic signals)
- Strong proficiency in Python with ML libraries (scikit-learn, TensorFlow or PyTorch, XGBoost)
- Experience with at least one cloud platform (Azure preferred, AWS, or GCP)
Benefits
- Competitive compensation including base salary and performance bonus
- Comprehensive benefits package (health, dental, vision, retirement)
- Professional development budget and learning opportunities
- Work on innovative AI/ML technology at global scale
- Collaborative culture with growth-oriented mindset
- Flexible work arrangements and work-life balance
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