Data Scientist (Manufacturing) (Remote, Contract role)

at  Cornerstone Building Brands

Job Description

• Lead complex data analysis, feature engineering, and model development initiatives to address critical business challenges. Utilize advanced statistical and machine learning techniques to derive insights and inform strategic decisions.
• Innovate and refine predictive models and machine learning algorithms, ensuring they align with business objectives and deliver measurable value.
• Champion the adoption of state-of-the-art data science and machine learning research, applying new findings to improve existing systems and methodologies.
• Guide and mentor a team of data science professionals, fostering a culture of technical excellence, continuous learning, and innovation.
• Drive the strategic planning and execution of data science projects, ensuring resource optimization, timely delivery, and alignment with organizational goals.
• Design and oversee the implementation of robust data infrastructure, including ingestion, processing, analytics pipelines, and data warehousing solutions to enhance scalability and efficiency.
• Architect advanced solutions for automated data processing, model deployment, and continuous integration to streamline data science operations.
• Enforce strict data security and compliance standards, ensuring adherence to data privacy laws and ethical data usage.
• Developed business acumen to provide insights and direction to business leaders

Qualifications

• 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.
• 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

Job Description

• Lead complex data analysis, feature engineering, and model development initiatives to address critical business challenges. Utilize advanced statistical and machine learning techniques to derive insights and inform strategic decisions.
• Innovate and refine predictive models and machine learning algorithms, ensuring they align with business objectives and deliver measurable value.
• Champion the adoption of state-of-the-art data science and machine learning research, applying new findings to improve existing systems and methodologies.
• Guide and mentor a team of data science professionals, fostering a culture of technical excellence, continuous learning, and innovation.
• Drive the strategic planning and execution of data science projects, ensuring resource optimization, timely delivery, and alignment with organizational goals.
• Design and oversee the implementation of robust data infrastructure, including ingestion, processing, analytics pipelines, and data warehousing solutions to enhance scalability and efficiency.
• Architect advanced solutions for automated data processing, model deployment, and continuous integration to streamline data science operations.
• Enforce strict data security and compliance standards, ensuring adherence to data privacy laws and ethical data usage.
• Developed business acumen to provide insights and direction to business leaders.

Qualifications

• 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.
• 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.