Sr Data Scientist

About James Hardie

James Hardie is the industry leader in exterior home and outdoor living solutions, with a portfolio that includes fiber cement, fiber gypsum, composite and PVC decking and railing products. Our family of trusted brands includes Hardie®, TimberTech®, AZEK® Exteriors, Versatex®, fermacell®, and StruXure®.

With over 8,000 employees and our U.S. operating entities headquartered in Chicago, we boast 31 operating sites, 6 recycling facilities, and 6 research and development centers globally. Powered by a dynamic workforce, we’re united by our purpose of Building a Better Future for All™ through sustainable innovation, a Zero Harm culture, and a commitment to empowering our people and communities.

For more information, visit

Summary

Company Name: James Hardie Building Products, Inc.

Job Location: Chicago, IL 60601

Job title: Senior Data Scientist

Salary: $120,000 to $145,000

Education: Master's in Statistics, Mathematics, Analytics, or related

SOC Code: 15-2051

SOC Occupation Title: Data Scientists

Duration: Regular Hire

Work week: Full-time

Supervision Experience Required: No

What You’ll Do:

The Senior Data Scientist position will analyze large sets of data using statistical software to identify trends, patterns, and correlations that inform forecasting models. Develop mathematical models and apply feature selectionalgorithms to models predicting business outcomes. Write new natural language processing (NLP) functions in programming languages to conduct analyses on text data. Identify solutions to business problems and drive business decisions using the results of data analysis, using techniques like sentiment analysis, topic modeling, and named entity recognition. Propose solutions to business problems using mathematical theories and techniques such as classification, regression, clustering, and recommendation systems Utilize scikit-learn, TensorFlow, and PyTorch to build and train models. Write efficient and well-documented code in Python, R, and SQL to extract, transform, and load data. Develop data pipelines and architectures to support data-driven decision-making. Design and implement cloud-based data architectures using Azure or Amazon Web Services (AWS) or Google Cloud Platform. Utilize cloud-based services like Databricks or Azure ML or Sagemaker, and Cloud Storage to build and deploy machine learning models. Collect, analyze, and interpret large datasets to identify trends, patterns, and insights. Create graphs, charts, and other visualizations to convey the results of data analysis to stakeholders using Tableau or PowerBI. Deliver oral and written presentations of the results of mathematical modeling and data analysis to non-technical stakeholders, including business leaders and product managers. Collaborate with cross-functional teams, including engineering, product, and marketing, to drive business outcomes.

To Apply: email resumes to Hillary Johnston at [email protected]

What You’ll Bring:

Requires skills and experience to involve: Strong technical background and expertise in machine learning, programming languages, and data analysis. Strong technical background developing and implementing univariate and multivariate demand forecasting models, building and deploying machine learning models, data analysis, and data visualization using Python and R programming languages; Demonstrated experience with data storage, retrieval, and management using Structured Query Language (SQL) programming language. Demonstrated knowledge of building and deploying machine learning models using Scikit-learn, Tensorflow, and PyTorch machine learning libraries. Demonstrated experience creating data visualization and communication using Tableau and PowerBI. Demonstrated experience building and deploying cloud-based data architectures using Azure, Amazon Web Services (AWS), and Google Cloud Platform. Demonstrated experience extracting business insights from market data to inform strategic business decisions. Strong understanding of budgeting, reporting, and forecasting processes, and methods used to present key data to business stakeholders.

What You’ll Receive:

As of the date of this posting, a good faith estimate of the current pay scale for this position is $120,000 to $145,000. Placement in the range depends on several factors such as experience, skills, geography and internal equity and may change over time. This position qualifies for benefits and you will be eligible to participate in a bonus plan.

At James Hardie, we recognize that our success depends on our people. We've worked hard to build a generous and competitive benefits program that demonstrates our commitment to our employees.

Comprehensive low-cost co-pay Health Insurance; medical, dental, prescription, and vision insurance benefits for every 30+ hour full-time employee. Insurance starts on day one!

• Life insurance
• Short-term and long-term disability insurance
• 401(k) Retirement plan that will match 100% of employees saved dollars up to the first 6% of your salary
• 11 paid holidays per year
• Paid vacation
• (Paid sick leave)
• Wellness Program, Employee Assistance Program, Parental Leave
• Employee Stock Purchase Plan
• Community Involvement & Sustainable Solutions:
• Click here to learn more about our benefits:
  
  

James Hardie Building Products Inc. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, gender, sex, age, national origin, religion, sexual orientation, gender identity/expression, genetic information, veteran's status, marital status, pregnancy, disability, or any other basis protected by law.

James Hardie will comply with any applicable state and local laws regarding employee leave benefits,

including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces

Act, in accordance with its plans and policies.

The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.