Senior Data Scientist

Scottsdale, Arizona

  Machine Learning

Permanent

Our client is a pioneer in ensuring the safety, comfort and efficiency of homeowners worldwide. Concentrating on integrated, easy-to-use solutions for modern connected households, the company provides a variety of products accessible globally through mobile devices. Catering to more than 100,000 low-voltage contractors in almost 20 countries, they grant access to a diverse range of products through over 200 physical locations.

They are hiring a Senior Data Scientist who will lead the implementation of advanced ML techniques, elevating monitoring precision and providing significant metrics for large-scale program operation. The successful candidate will be tasked with developing predictive models and algorithms, extracting valuable insights from intricate time-series data and contribute to the advancement of IoT devices for connected homes.

Responsibilities:

  • As a Senior Data Scientist, you will be responsible to examine and decipher intricate time series data to construct advanced performance metrics, derive insights and enhance the worth of our client’s IoT solution for professionals and homeowners. 

  • You will be responsible to create and conduct methodologies and experiments consistently to enhance predictive and machine learning algorithms. 

  • Aid in creating comprehensive machine learning solutions that cover the entire process, supporting the growth and expansion objectives of the program. 

  • Collaborate with cross-functional teams, including Product Managers and Software Engineers, to recognize crucial business challenges and devise data-driven solutions. 

  • Contribute to making data more accessible by developing and promoting decision-making tools such as reports, data products and dashboards.

Skillset:

  • MA/BA Degree in Computer Science, Engineering or a relevant field.

  • 5+ years of industry experience utilizing Python, R, etc., particularly with time-series data analysis, visualization, feature generation and model fitting.

  • Expertise in applying machine learning and statistical modeling, especially in anomaly detection, image processing, or time-series methods.

  • Familiarity with SQL, Apache Spark, modern ML frameworks and libraries (TensorFlow, Keras, PyTorch, Scikit-learn, Numpy, Pandas, MLFlow).

  • Proficiency in Databricks, Jupyter notebooks, Git, AWS, or Azure cloud environments.

Benefits:

  • Salary: $150-200k
  • Hybrid working model; Fully remote an option.

  • Extensive coverage for life and health insurance 

  • Repayment of tuition expenses 

  • Instant qualification for the retirement plan (401K)

Interested? Apply now in the link below or email your resume directly to shane@alldus.com for consideration. 

40764