Talent.com
Lead Data Scientist

Lead Data Scientist

ResideoAurora, IL, United States
job_description.job_card.variable_days_ago
serp_jobs.job_preview.job_type
  • serp_jobs.job_card.full_time
job_description.job_card.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.

As part of this initiative, 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 :

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

YOU MUST HAVE :

  • 10+ years of related industry experience
  • Experience using Python, R, etc. working with (preferably) time-series data to support data analysis, visualization, exploratory data analysis, feature generation, and model fitting (in addition to other common analysis activities common to machine learning)
  • Expert in at least one programming language for data analysis (., Python, R), experience with SQL a plus
  • Strong foundational knowledge in project management with the ability to work in a fast-paced, high-visibility environment
  • Industry experience with developing and applying machine learning and statistical modeling in at least one of the following categories : Anomaly detection , Time-Series Methods , and / or Image processing (. convolutional neural networks, auto-encoders)

    • WE VALUE :

  • Experience with HVAC systems or related industrial applications
  • Experience with IoT sensor data , preferably in the time-series space, working with edge data processing and connected device ecosystems
  • Experience working with Apache Spark (preferably PySpark)
  • Familiarity with modern ML frameworks and libraries including, deep-learning (., TensorFlow, Keras, or PyTorch), Scikit-learn, Numpy, Pandas, and MLFlow.
  • Knowledge and experience with Databricks, Jupyter notebooks, Git, AWS or Azure cloud environments
  • Detail oriented and willing to learn new skills and tools
  • Experience working with cross-functional teams and an ability to communicate clearly and effectively to technical and non-technical audiences
  • A continuous learning mindset with a willingness to stay updated with the latest trends and technologies in data science and machine learning.

    • WHAT'S IN IT FOR YOU :

  • Life and health insurance
  • Life assistance program
  • Tuition Reimbursement
  • Retirement plan (Immediate eligibility for 401K)
  • Vacation & holidays (Enjoy work-life balance)

    • LI-JR2

    LI-Hybrid

    serp_jobs.job_alerts.create_a_job

    Lead Data Scientist • Aurora, IL, United States