Senior data scientist

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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

Experience: 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.

Job duties: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] \ \

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-