Lead Data Scientist

Resideo; Golden Valley (MN); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading company in IoT solutions is seeking a Lead Data Scientist to drive innovation in connected home devices. The role involves analyzing complex time-series data, developing predictive models, and collaborating with cross-functional teams. Ideal candidates will have extensive experience in data science, project management, and machine learning, particularly in the context of HVAC systems and IoT applications.

Benefits

Life and health insurance

Life assistance program

Tuition reimbursement

Retirement plan (immediate 401K eligibility)

Vacation and holidays for work-life balance

Qualifications

• 10+ years of industry experience.
• Experience with time-series data for analysis and model fitting.

Responsibilities

• Analyze time-series data from HVAC systems to build performance metrics.
• Develop machine learning solutions to support program growth.

Skills

Project Management

Machine Learning

Statistical Modeling

Communication

Tools

Python

R

SQL

Apache Spark

TensorFlow

Keras

PyTorch

Scikit-learn

Numpy

Pandas

Job description

Welcome to Resideo, where we're on a mission to transform homes into intelligent, efficient, and secure living spaces through the power of IoT-connected devices. As a Lead Data Scientist on our Home Analytics team, you'll play a pivotal role in extracting actionable insights from complex time-series data, making a direct impact on the comfort and safety of homes worldwide.

We are looking for a Lead Data Scientist to help lead our LifeWhere product through the adoption of state-of-the-art ML methods that improve monitoring accuracy while delivering metrics and intelligence for program operation at scale. You will collaborate with a team of experts to develop predictive models and algorithms that drive innovation in connected home IoT devices. Success in this role comes from marrying a strong data science background with product and business acumen to deliver scalable data products to our internal and external customers.

Job Duties:

1. Analyze and interpret complex time-series data from connected HVAC systems to build metrics of HVAC performance, generate insights, and create value for our network of pros and homeowners using our IoT solution.
2. Develop methodologies and experiments to continuously improve predictive and machine learning algorithms.
3. Help develop end-to-end process machine learning solutions to support program growth and expansion goals.
4. Work with cross-functional teams, including Product Managers and Software Engineers, to identify critical business problems and develop solutions to support data-driven decisions.
5. Build and socialize decision tools (e.g., reports, data products, dashboards) to democratize data access.

You Must Have:

• 10+ years of industry experience.
• Experience with Python, R, or similar, working with time-series data for analysis, visualization, feature generation, and model fitting.
• Expertise in at least one programming language for data analysis (e.g., Python, R); SQL experience is a plus.
• Strong project management skills and ability to thrive in a fast-paced environment.
• Experience with machine learning and statistical modeling, especially in categories like Anomaly detection, Time-Series Methods, and/or Image processing.

We Value:

• Experience with HVAC systems or related industrial applications.
• Experience with IoT sensor data, edge processing, and connected device ecosystems.
• Knowledge of Apache Spark (preferably PySpark).
• Familiarity with ML frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, Numpy, Pandas, MLFlow.
• Experience with Databricks, Jupyter notebooks, Git, AWS, or Azure.
• Attention to detail and a willingness to learn new skills.
• Strong communication skills for working with diverse teams and audiences.
• A mindset geared towards continuous learning and staying updated with the latest in data science and ML.

What's in It for You:

• Life and health insurance.
• Life assistance program.
• Tuition reimbursement.
• Retirement plan (immediate 401K eligibility).
• Vacation and holidays for work-life balance.

#LI-EP1

#LI-Hybrid