Data Scientist

Job Description: Data Scientist

JOB SUMMARY

We are seeking an innovative Data Scientist with 5-8 years of professional experience to join our SmartFM product team. This role will be pivotal in extracting actionable insights from complex operational data, leveraging advanced machine learning, deep learning, agentic workflows, and Large Language Models (LLMs) to optimize building operations. The ideal candidate will transform raw alarms and notifications into predictive models and intelligent recommendations that enhance facility efficiency and decision-making.

ROLES AND RESPONSIBILITIES

• Analyze large, complex datasets from various building devices (alarms, notifications, sensor data) to identify patterns, anomalies, and opportunities for operational optimization.
  
• Design, develop, and deploy machine learning and deep learning models to predict equipment failures, optimize energy consumption, and identify unusual operational behavior.
  
• Develop and implement agentic workflows to automate decision-making processes and trigger intelligent actions based on real-time data insights.
  
• Explore and integrate Large Language Models (LLMs) to interpret unstructured data (e.g., maintenance logs, technician notes) and generate natural language insights or automate reporting.
  
• Collaborate with Data Engineers to define data requirements, ensure data quality, and optimize data pipelines for machine learning applications.
  
• Work closely with Software Engineers to integrate developed models and intelligent agents into the React frontend and backend of the SmartFM platform.
  
• Evaluate and monitor the performance of deployed models, implementing strategies for continuous improvement and retraining.
  
• Communicate complex analytical findings and model insights clearly and concisely to technical and non-technical stakeholders.
  
• Stay abreast of the latest advancements in AI, ML, Deep Learning, Agentic AI, and LLMs, assessing their applicability to facility management challenges and advocating for their adoption.
  
• Contribute to the strategic roadmap for AI/ML capabilities within the SmartFM product.
  

REQUIRED TECHNICAL SKILLS AND EXPERIENCE

• 5-8 years of professional experience in Data Science, Machine Learning Engineering, or a related analytical role.
  
• Strong proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch).
  
• Proven experience in developing and deploying Machine Learning models for predictive analytics, anomaly detection, and classification problems.
  
• Hands-on experience with Deep Learning frameworks and architectures for time series analysis, pattern recognition, or natural language processing.
  
• Demonstrated experience in designing and implementing Agentic Workflows or intelligent automation solutions.
  
• Practical experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, or integrating LLM APIs for specific use cases.
  
• Solid understanding of statistical modeling, experimental design, and A/B testing.
  
• Experience with querying and analyzing data from MongoDB and working with streaming data from Kafka.
  
• Familiarity with data ingestion processes, ideally involving IBM StreamSets.
  
• Experience with cloud-based ML platforms and services (e.g., AWS SageMaker, Azure ML, Google AI Platform).
  

ADDITIONAL QUALIFICATIONS

• Proven expertise in written and verbal communication, adept at simplifying complex technical concepts for both technical and non-technical audiences.
  
• Strong problem-solving and analytical skills with a passion for extracting insights from data.
  
• Experienced in collaborating and communicating seamlessly with diverse technology roles, including data engineering, software development, and product management.
  
• Highly motivated to acquire new skills, explore emerging technologies, and stay updated on the latest trends in AI/ML and business needs.
  
• Domain knowledge in facility management, IoT, or building automation is a significant advantage.
  

EDUCATION REQUIREMENTS / EXPERIENCE

• Master's or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related quantitative field.