IoT Data Scientist

Key Skills

Azure, Cybersecurity, Data Analysis, Data Engineering, Data Lake, Data science techniques, Data Warehousing, DevSecOps, Effective communication skills, ETL frameworks, Lakehouse, Machine learning techniques, PySpark, Python Programming, SPARK Programming, SQL

Job Description

As part of the Honeywell Smart Energy software development team, the IoT Data Scientist will work with software developers, data engineers, architects, Customer Support leaders, and Offering Management stakeholders to discover value from product data, create new cloud native software and service offerings powered by analytics, and optimize both internal and external business processes by enabling data driven decision making. Our industrial Internet of Things products produce a lot of data about what is happening on electricity, gas, and water distribution networks. Our goal is to unlock the value in this raw data using analytics. As an expert with hands-on experience analyzing data, building, training, and validating models, and visualizing results the IoT Data Scientist will be part of an Agile development team and use this expertise to de-risk decision making and rapidly build and test applications, data pipelines, and machine learning models. 

Be part of a team that designs, develops, and integrates highly complex software functions within Honeywell Smart Energy. You will use your experience and judgment to plan and accomplish goals. You will also generate innovative solutions in work situations; trying different and novel ways to deal with problems and opportunities. This is a hands-on position on a green field project supported by a software development and data science team with plenty of domain experience. The ideal candidate will focus on design, delivery, and execution while balancing speed with wise planning, judgement, and risk management. This is a design and development position, not an operational position.

KEY RESPONSIBILITIES

• Analysis of data use cases to inform design
• Data analysis and quality characterization
• Data preparation including imputing missing values, feature extraction, normalization
• Feature definition and extraction
• Model building, testing, validation, and deployment
• Using AutoML or related technologies to accelerate model development and experimentation
• Implementing complex rules/domain logic on data – especially time series techniques and pattern matching/recognition
• Ability to code in Python, pyspark, pandas, and SQLYOU MUST HAVE

• Bachelor’s degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics2 years of experience working with big data, IoT data, or timeseries data
• 2 years data science or data engineering experience

WE VALUE

• Big data handling expertise – data ingestion, storage, batch, streaming analytics and data processing, and understanding how model performance can be scaled
• Experience with wide variety of classification, regression, clustering, and anomaly detection techniques
• Experience with time series techniques like ARIMA, dynamic time warping
• Experience evaluating model performance
• Experience with data labelling and label generation or capture techniques
• Experience with Azure, Azure Databricks, Apache Spark, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Apache Spark for Azure Synapse, Azure HDInsight
• Experience with cybersecurity concerns in cloud systems including ingress, storage, and egress
• Experience with Kubernetes, helm, docker, containerization principles and micro-service architecture foundations
• Familiarity with cloud identity management solutions
• Experience handling PII data in cloud environments
• Experience working with DevSecOps teams to manage deployments
• Experience with continuous integration or continuous delivery processes for cloud-native software
• Experience with data modelling for warehousing
• Experience with Data Warehouse and/or Lake House architectures
• Experience with ETL processes
• Knowledge of software configuration management and change management practices
• Diverse and global teaming and collaboration
• Effective communicator
• Wide degree of creativity and latitude
• Individuals who are self-motivated and able to work with little supervision, who consistently take the initiative to get things done, do things before being asked by others or forced to by events.
• Ability to consistently make timely decisions even in the face of complexity, balancing systematic analysis with decisiveness.
• Can quickly analyze, incorporate and apply new information and concepts.

Inclusion and Diversity (I&D) is a foundational principle at Honeywell, both because it’s the right thing to do and because it is a fundamental enabler for our business. We actively recruit, develop and retain talent from diverse backgrounds and cultures who bring different experience, perspectives, abilities and ideas. We foster an inclusive environment in which all employees feel valued, respected and accepted.

Inclusion and Diversity is more than a commitment to us, it is the way we work.

Additional Information

JOB ID: req427984

Category: Engineering

Location: 208 South Rogers Lane,Raleigh,North Carolina,27610,United States

Exempt