We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced analytical techniques statistical modeling and/or machine learning you will partner with the business to uncover opportunities optimize performance and drive data-informed outcomes.
This role will partner closely with marketing sales operations supply chain corporate and finance teams to identify opportunities develop predictive and prescriptive models and deliver actionable insights that improve revenue growth operational efficiency and margin performance. The ideal candidate combines strong technical expertise in statistical modeling and advanced analytics with the ability to translate complex data into clear business-relevant insights for marketing and sales teams.
This individual will work with large complex datasets spanning manufacturing distribution pricing and customer behavior. While this role does not require hands-on data engineering responsibilities it demands close collaboration with the Data Engineering team. Candidates should have a solid understanding of core data engineering concepts to effectively partner translate business needs and ensure alignment across data workflows and infrastructure.
Requirements
Requirements:
5 years of progressive experience in data science advanced analytics or a closely related field with a strong preference supporting marketing or commercial teams
Experience in the development of machine learning models and AI frameworks
Experience working with data visualization and business intelligence tools (e.g. Tableau Power BI or similar tools)
Experience working with enterprise data platforms (e.g. Snowflake Databricks Cloudera BigQuery)
Experience working with data from large enterprise applications (e.g. ERP CRM or operational systems)
Fluency in Python and SQL (required); R (optional)
Demonstrated experience developing and validating statistical models machine learning algorithms and advanced analytical solutions using large complex datasets
Strong competency in statistical & quantitative methods (e.g. hypothesis testing regression probability theory experimental design etc.)
Demonstrated experience with experimentation and causal analysis
Demonstrated experience with experimental design model evaluation and performance measurement
Strong understanding of data pipelines ETL processes and data architecture
Proven success in supervised and unsupervised learning (e.g. regression classification clustering)
Strong understanding of AI its potential roles in solving business problems and the future trajectory of generative AI models
Excellent presentation communication and stakeholder management skills with the ability to explain technical concepts in business terms to a diverse audience
Highly self-motivated with proven ability to operate autonomously managing multiple priorities in a fast-paced environment
Willingness and ability to learn new technologies on the job with a continuous learning and innovation mindset
Bachelors degree in computer science mathematics data science statistics or a related quantitative field (Masters degree preferred)
Occasional travel up to 15% of time
Occasional exposure to a plant environment
Preferred Qualifications:
Experience working with SAP (S/4 HANA ECC BTP etc.)
Experience working with cloud platforms (AWS Azure or GCP)
Experience in text analytics image recognition graph analysis or other specialized ML techniques (e.g. deep learning)
Experience in manufacturing building products or construction-related industries
Required Skills:
Requirements: 5 years of progressive experience in data science advanced analytics or a closely related field with a strong preference supporting marketing or commercial teams Experience in the development of machine learning models and AI frameworks Experience working with data visualization and business intelligence tools (e.g. Tableau Power BI or similar tools) Experience working with enterprise data platforms (e.g. Snowflake Databricks Cloudera BigQuery) Experience working with data from large enterprise applications (e.g. ERP CRM or operational systems) Fluency in Python and SQL (required); R (optional) Demonstrated experience developing and validating statistical models machine learning algorithms and advanced analytical solutions using large complex datasets Strong competency in statistical & quantitative methods (e.g. hypothesis testing regression probability theory experimental design etc.) Demonstrated experience with experimentation and causal analysis Demonstrated experience with experimental design model evaluation and performance measurement Strong understanding of data pipelines ETL processes and data architecture Proven success in supervised and unsupervised learning (e.g. regression classification clustering) Strong understanding of AI its potential roles in solving business problems and the future trajectory of generative AI models Excellent presentation communication and stakeholder management skills with the ability to explain technical concepts in business terms to a diverse audience Highly self-motivated with proven ability to operate autonomously managing multiple priorities in a fast-paced environment Willingness and ability to learn new technologies on the job with a continuous learning and innovation mindset Bachelors degree in computer science mathematics data science statistics or a related quantitative field (Masters degree preferred) Occasional travel up to 15% of time Occasional exposure to a plant environment Preferred Qualifications: Experience working with SAP (S/4 HANA ECC BTP etc.) Experience working with cloud platforms (AWS Azure or GCP) Experience in text analytics image recognition graph analysis or other specialized ML techniques (e.g. deep learning) Experience in manufacturing building products or construction-related industries
This is a remote position. Location: Remote (Nashville TN strongly preferred) Job-Type: Full-Time Role Overview: We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced analytical techniques statistical modeling and/or machine learning you will p...
We are looking for a full-time Data Scientist to join the Data Analytics team. Leveraging advanced analytical techniques statistical modeling and/or machine learning you will partner with the business to uncover opportunities optimize performance and drive data-informed outcomes.
This role will partner closely with marketing sales operations supply chain corporate and finance teams to identify opportunities develop predictive and prescriptive models and deliver actionable insights that improve revenue growth operational efficiency and margin performance. The ideal candidate combines strong technical expertise in statistical modeling and advanced analytics with the ability to translate complex data into clear business-relevant insights for marketing and sales teams.
This individual will work with large complex datasets spanning manufacturing distribution pricing and customer behavior. While this role does not require hands-on data engineering responsibilities it demands close collaboration with the Data Engineering team. Candidates should have a solid understanding of core data engineering concepts to effectively partner translate business needs and ensure alignment across data workflows and infrastructure.
Requirements
Requirements:
5 years of progressive experience in data science advanced analytics or a closely related field with a strong preference supporting marketing or commercial teams
Experience in the development of machine learning models and AI frameworks
Experience working with data visualization and business intelligence tools (e.g. Tableau Power BI or similar tools)
Experience working with enterprise data platforms (e.g. Snowflake Databricks Cloudera BigQuery)
Experience working with data from large enterprise applications (e.g. ERP CRM or operational systems)
Fluency in Python and SQL (required); R (optional)
Demonstrated experience developing and validating statistical models machine learning algorithms and advanced analytical solutions using large complex datasets
Strong competency in statistical & quantitative methods (e.g. hypothesis testing regression probability theory experimental design etc.)
Demonstrated experience with experimentation and causal analysis
Demonstrated experience with experimental design model evaluation and performance measurement
Strong understanding of data pipelines ETL processes and data architecture
Proven success in supervised and unsupervised learning (e.g. regression classification clustering)
Strong understanding of AI its potential roles in solving business problems and the future trajectory of generative AI models
Excellent presentation communication and stakeholder management skills with the ability to explain technical concepts in business terms to a diverse audience
Highly self-motivated with proven ability to operate autonomously managing multiple priorities in a fast-paced environment
Willingness and ability to learn new technologies on the job with a continuous learning and innovation mindset
Bachelors degree in computer science mathematics data science statistics or a related quantitative field (Masters degree preferred)
Occasional travel up to 15% of time
Occasional exposure to a plant environment
Preferred Qualifications:
Experience working with SAP (S/4 HANA ECC BTP etc.)
Experience working with cloud platforms (AWS Azure or GCP)
Experience in text analytics image recognition graph analysis or other specialized ML techniques (e.g. deep learning)
Experience in manufacturing building products or construction-related industries
Required Skills:
Requirements: 5 years of progressive experience in data science advanced analytics or a closely related field with a strong preference supporting marketing or commercial teams Experience in the development of machine learning models and AI frameworks Experience working with data visualization and business intelligence tools (e.g. Tableau Power BI or similar tools) Experience working with enterprise data platforms (e.g. Snowflake Databricks Cloudera BigQuery) Experience working with data from large enterprise applications (e.g. ERP CRM or operational systems) Fluency in Python and SQL (required); R (optional) Demonstrated experience developing and validating statistical models machine learning algorithms and advanced analytical solutions using large complex datasets Strong competency in statistical & quantitative methods (e.g. hypothesis testing regression probability theory experimental design etc.) Demonstrated experience with experimentation and causal analysis Demonstrated experience with experimental design model evaluation and performance measurement Strong understanding of data pipelines ETL processes and data architecture Proven success in supervised and unsupervised learning (e.g. regression classification clustering) Strong understanding of AI its potential roles in solving business problems and the future trajectory of generative AI models Excellent presentation communication and stakeholder management skills with the ability to explain technical concepts in business terms to a diverse audience Highly self-motivated with proven ability to operate autonomously managing multiple priorities in a fast-paced environment Willingness and ability to learn new technologies on the job with a continuous learning and innovation mindset Bachelors degree in computer science mathematics data science statistics or a related quantitative field (Masters degree preferred) Occasional travel up to 15% of time Occasional exposure to a plant environment Preferred Qualifications: Experience working with SAP (S/4 HANA ECC BTP etc.) Experience working with cloud platforms (AWS Azure or GCP) Experience in text analytics image recognition graph analysis or other specialized ML techniques (e.g. deep learning) Experience in manufacturing building products or construction-related industries
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