Data Scientist at Assembly building and automating media intelligence models. Collaborating with consultancy leadership to define analytical approaches to business challenges.
About the role
- Data Scientist developing and deploying ML/AI solutions for optimizing building operations and industrial IoT platforms. Collaborating with senior data scientists in a hybrid working environment.
Responsibilities
- Develop and deploy agentic AI systems that optimize building operations, energy consumption, and equipment performance
- Build time series forecasting models for energy demand, equipment behavior, and operational patterns
- Apply signal processing techniques to analyze sensor data and detect anomalies in industrial environments
- Implement end-to-end machine learning pipelines from data preprocessing through model deployment
- Contribute to predictive maintenance projects using ML models to forecast equipment failures
- Collaborate with cross-functional teams to translate business requirements into data science solutions
Requirements
- Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or related field
- 4+ 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
- Working knowledge of digital signal processing including filtering, FFT, and spectral analysis
- Strong proficiency in Python with ML libraries (scikit-learn, TensorFlow or PyTorch, XGBoost)
Benefits
- Competitive compensation including base salary and performance bonus
- Comprehensive benefits package (health, dental, vision, retirement)
- Professional development budget and learning opportunities
- Flexible work arrangements and work-life balance
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