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 8000 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 were 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.
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Summary
Company Name : James Hardie Building Products Inc.
Job Location : Chicago IL 60601
Job title : Senior Data Scientist
Salary : $120000 to $145000
Education : Masters 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 Youll 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
What Youll 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 Youll Receive :
As of the date of this posting a good faith estimate of the current pay scale for this position is $120000 to $145000. 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. Weve 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!
Community Involvement & Sustainable Solutions : here to learn more about our benefits : 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 veterans 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.
Required Experience :
Senior IC
Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Employment Type : Full Time
Experience : years
Vacancy : 1
Monthly Salary Salary : 120000 - 145000
Sr Data Scientist • Chicago, Illinois, USA