Data Science Leader for Exterior Building Solutions
hace 1 mes
**About Cornerstone Building Brands**
We are a premier exterior building solutions provider serving both the residential and commercial markets across North America. Our building products are the cornerstone of the communities where people live, work and play -from homes to hospitals, grade schools to grocery stores, manufacturing facilities to municipal buildings and beyond.
Our culture is dedicated to understanding our customers' needs and what matters most to their success. We prioritize inclusion and provide an environment of mutual respect where equal employment opportunities are available to all applicants and team members.
**Job Summary**
We seek a seasoned Data Science Leader to lead complex data analysis, feature engineering, and model development initiatives to address critical business challenges. This role involves advanced statistical and machine learning techniques to derive insights and inform strategic decisions.
The successful candidate will innovate and refine predictive models and machine learning algorithms, ensuring they align with business objectives and deliver measurable value. They will guide and mentor team members, fostering a culture of technical excellence, continuous learning, and innovation.
This position requires driving the strategic planning and execution of data science projects, ensuring resource optimization and alignment with organizational goals. The Data Science Leader will design and oversee the implementation of robust data infrastructure, including ingestion, processing, analytics pipelines, and data warehousing solutions to enhance scalability and efficiency.
The ideal candidate will be responsible for architecting advanced solutions for automated data processing, model deployment, and continuous integration to streamline data science operations. Additionally, they will enforce strict data security and compliance standards, ensuring adherence to data privacy laws and ethical data usage.
**Required Skills and Qualifications**
We require expertise in advanced data science, machine learning, and artificial intelligence techniques, supported by a strong track record in programming languages such as Python, R, SQL, and proven software engineering methodologies.
The ideal candidate should have proficiency in a wide array of machine learning frameworks and libraries, such as TensorFlow, PyTorch, Keras, Scikit-learn, and XGBoost, to build, train, and deploy models effectively.
Familiarity with cloud computing platforms like AWS, Azure, and GCP, and their respective data science ecosystems, is also necessary. Knowledge of advanced analytics tools such as Apache Spark, Databricks, and H2O for handling big data sets and performing distributed computing is required.
Demonstrated leadership in analytical roles, with the ability to tackle complex, ambiguous data-related challenges and drive strategic business outcomes, is essential. Seasoned experience in leading and growing data science teams, mentoring staff, and facilitating a collaborative environment for knowledge sharing and problem-solving is also necessary.
This position requires robust project and program management expertise, capable of orchestrating multiple data initiatives, managing large-scale resources, and adhering to stringent deadlines.
**Benefits and Additional Information**
We offer a competitive salary of $160,000 per year, paid holidays, medical, dental and vision benefits starting day 1, life insurance, LTD, STD, trainings, professional development opportunities, free virtual English course, Employee Assistance Program, and flexible work arrangements.
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