At Husky TechnologiesTM, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.
Husky TechnologiesTM has a strong foundation built on innovation, close customer relationships and a unique culture and values. We are dedicated to offering our customers the highest quality products and services and are looking for people with the inspiration and talent to develop with us as we pursue our ambitious growth strategy. We are a leader in developing state-of-the-art technology and it is this technology base that uniquely positions us to serve customers who seek differentiation through solutions that provide speed, flexibility and maximum productivity. This capability is at the core of our mission and competitive strategy.
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by – a team of great people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a company taking on new challenges and for the right people this means exceptional career development opportunities, the chance to be part of a team that is the best in the world at what we do and the experience that comes from working in an environment that demands constant transformation and innovation.
Husky TechnologiesTM is an exciting company with tremendous potential. We have a great team and great expectations. If you are attracted to bold goals, believe in uncompromising honesty, support mutual respect, care about environmental responsibility, have a passion for excellence and a desire to make a positive contribution – then we want you to join the Husky TechnologiesTM team!
Job Purpose:
The DST Data Scientist is a key member of Husky's global Enterprise Data & Analytics organization, responsible for transforming enterprise data into actionable business insights, predictive intelligence, and AI-driven solutions. This role partners with business stakeholders, data engineers, architects, and analysts to design, develop, and deploy advanced analytics, machine learning models, and enterprise reporting solutions.
The Data Scientist leverages modern cloud-based data platforms including Azure, Databricks, Microsoft Fabric, Power BI, and Data Vault methodologies to support Husky's Enterprise Data Management strategy. The role contributes to the development of scalable analytical solutions that improve operational efficiency, product quality, customer experience, and strategic decision-making across the organization
Key Responsibilities & Key Success Metrics:
Advanced Analytics & Data Science
• Identify business opportunities and challenges that can be addressed through advanced analytics, machine learning, and artificial intelligence.
• Design, develop, validate, and deploy predictive and prescriptive models.
• Develop forecasting, anomaly detection, optimization, and classification models.
• Apply statistical analysis and machine learning techniques to solve complex business problems.
• Create reusable analytical assets and data science accelerators.
Data Engineering & Data Preparation
• Profile, assess, transform, and prepare enterprise data for analytical use.
• Develop and maintain data pipelines using Azure Data Factory, Databricks, Microsoft Fabric, and SQL-based technologies.
• Assist in the design and implementation of Enterprise Data Vault and Analytical Data Models.
• Support data integration initiatives spanning ERP, CRM, Manufacturing, IoT, and external data sources.
Data Visualization & Business Intelligence
• Create analytical dashboards and executive reporting solutions using Power BI.
• Translate complex analytical findings into business-focused recommendations.
• Collaborate with business stakeholders to define KPIs, metrics, and reporting requirements.
• Present analytical insights to technical and non-technical audiences.
AI & Machine Learning Operations (MLOps)
• Deploy and monitor machine learning models in production environments.
• Implement model versioning, monitoring, governance, and performance management.
• Support MLOps practices utilizing Databricks MLflow, Azure Machine Learning, Git, and CI/CD pipelines.
• Ensure model explainability, reproducibility, and governance standards are maintained.
Enterprise Data Management
• Support Husky's Enterprise Data Management strategy and roadmap.
• Contribute to Data Governance, Data Quality, Metadata Management, and Master Data initiatives.
• Partner with Data Architects and Data Governance teams to ensure data consistency and compliance.
• Support implementation of enterprise data standards and best practices.
Stakeholder & Project Engagement
• Facilitate requirements gathering and business analysis sessions.
• Act as a consultant between business teams and technical delivery teams.
• Participate in enterprise analytics and digital transformation initiatives.
• Support project delivery through analysis, design, testing, deployment, and user adoption activities.
Key Success Metrics
Delivery Metrics
• % of analytics projects delivered on time and within scope.
• Number of production-ready analytical solutions delivered annually.
• Reduction in manual reporting effort through automation.
Data Quality Metrics
• Data quality score improvement across supported domains.
• Reduction in data-related incidents and defects.
• Accuracy and completeness of analytical datasets.
Business Value Metrics
• Measurable business benefits generated from analytical solutions.
• User adoption rate of dashboards and analytical tools.
• Increase in business process efficiency supported by analytics.
AI/ML Metrics
• Predictive model accuracy and performance.
• Machine learning model deployment success rate.
• Percentage of models actively monitored through MLOps processes.
Stakeholder Satisfaction
• Business stakeholder satisfaction scores.
• Reduction in reporting turnaround time.
• Number of self-service analytics capabilities enabled.
• Supporting program manager in delivery of the overall advanced analytical solutions
• Ensuring that quality standards are met
• Supporting Enterprise Data Management Strategy
Qualifications:
Education
• Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related discipline.
• Master's Degree considered an asset.
Experience
• 5-10 years of experience in Data Science, Analytics, Data Engineering, Business Intelligence, or Enterprise Data Management.
• Experience delivering analytics and reporting solutions in manufacturing, industrial, or global enterprise environments.
• Experience working with cross-functional international teams.
Technical Skills
Data Science & Analytics
• Python
• R
• SQL
• Machine Learning
• Statistical Analysis
• Predictive Modeling
• Feature Engineering
• AI/Generative AI technologies
Cloud & Analytics Platforms
• Microsoft Azure
• Azure Data Lake Storage (ADLS)
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Microsoft Fabric
• Azure Machine Learning
• Databricks Lakehouse Platform
Databricks Expertise
• Databricks Workflows
• Delta Lake
• Unity Catalog
• MLflow
• PySpark
• Spark SQL
• Structured Streaming
• Databricks Asset Bundles
Business Intelligence
• Power BI
• Power BI Service
• DAX
• Tableau (asset)
• Semantic Models
Database Technologies
• SQL Server
• Oracle
• Snowflake (asset)
• Fabric Warehouse
• Azure SQL
Data Architecture & Governance
• Data Vault 2.0
• Kimball Dimensional Modeling
• Enterprise Data Warehousing
• Data Governance
• Data Quality Management
• Master Data Management (MDM)
• Metadata Management
DevOps & DataOps
• Git
• Azure DevOps
• CI/CD Pipelines
• Infrastructure as Code
• Agile/Scrum Methodologies
Husky TechnologiesTM offers a competitive compensation and benefits package and excellent opportunities for growth and advancement. We are committed to equal employment opportunity and respect, value and welcome diversity in our workplace. Husky TechnologiesTM also values being a great place to work and strives to maintain a safe workplace. Accordingly, Husky TechnologiesTM conditions all offers of employment on satisfactory completion of background checks. No agency or telephone inquiries please.
Title
The job application is a simple 3 step process:
Uploads must be in the PDF file format
Definitions
This employer is a Government contractor subject to the Vietnam Era Veterans' Readjustment Assistance Act of 1974, as amended (VEVRAA) which requires Government contractors to take affirmative action to employ and advance in employment: (1) disabled veterans; (2) recently separated veterans; (3) active duty wartime or campaign badge veterans; and (4) Armed Forces service medal veterans
These classifications are defined as follows:
. A "disabled veteran" is one of the following:
. a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or
· a person who was discharged or released from active duty because of a service-connected disability.
. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
· An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
· An "Armed Forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.
Protected veterans may have additional rights under USERRA-the Uniformed Services Employment and Reemployment Rights Act. In particular, if you were absent from employment in order to perform service in the uniformed service, you may be entitled to be reemnloved bv vour emnlover in the nosition vou would have.
Protected veterans may have additional rights under USERRA-the Uniformed Services Employment and Reemployment Rights Act. In particular, if you were absent from employment in order to perform service in the uniformed service, you may be entitled to be reemployed by your employer in the position you would have obtained with reasonable certainty if not for the absence due to service. For more information, call the U.S. Department of Labor's Veterans Employment and Training Service (VETS), toll-free, at 1-866-4-USA-DOL.
Reasonable Accommodation Notice
If you are a disabled veteran it would assist us if you tell us whether there are accommodations we could make that would enable you to perform the essential functions of the job, including special equipment, changes in the physical layout of the job, changes in the way the job is customarily performed, provision of personal assistance services or other accommodations. This information will assist us in making reasonable accommodations for your disability. Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. The information provided will be used only in ways that are not inconsistent with the Vietnam Era Veterans' Readjustment Assistance Act of 1974, as amended.
The information you submit will be kept confidential, except that (i) supervisors and managers may be informed regarding restrictions on the work or duties of disabled veterans, and regarding necessary accommodations; (ii) first aid and safety personnel may be informed, when and to the extent appropriate, if you have a condition that might require emergency treatment; and (iii) Government officials engaged in enforcing laws administered by the Office of Federal Contract Compliance Programs, or enforcing the Americans with Disabilities Act, may be informed.
Self-Identification
As a Government contractor subject to VEVRAA, we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. If you believe you belong to any of the categories of protected veterans listed above, please indicate by checking the appropriate option below.
At Husky TechnologiesTM, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.
Husky TechnologiesTM has a strong foundation built on innovation, close customer relationships and a unique culture and values. We are dedicated to offering our customers the highest quality products and services and are looking for people with the inspiration and talent to develop with us as we pursue our ambitious growth strategy. We are a leader in developing state-of-the-art technology and it is this technology base that uniquely positions us to serve customers who seek differentiation through solutions that provide speed, flexibility and maximum productivity. This capability is at the core of our mission and competitive strategy.
Husky TechnologiesTM offers a wealth of opportunity for personal growth and development. Most importantly, Husky Technologies TM offers an opportunity to work with – and be challenged by – a team of great people. Our success is possible because of the creativity, intelligence and passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a company taking on new challenges and for the right people this means exceptional career development opportunities, the chance to be part of a team that is the best in the world at what we do and the experience that comes from working in an environment that demands constant transformation and innovation.
Husky TechnologiesTM is an exciting company with tremendous potential. We have a great team and great expectations. If you are attracted to bold goals, believe in uncompromising honesty, support mutual respect, care about environmental responsibility, have a passion for excellence and a desire to make a positive contribution – then we want you to join the Husky TechnologiesTM team!
Job Purpose:
The DST Data Scientist is a key member of Husky's global Enterprise Data & Analytics organization, responsible for transforming enterprise data into actionable business insights, predictive intelligence, and AI-driven solutions. This role partners with business stakeholders, data engineers, architects, and analysts to design, develop, and deploy advanced analytics, machine learning models, and enterprise reporting solutions.
The Data Scientist leverages modern cloud-based data platforms including Azure, Databricks, Microsoft Fabric, Power BI, and Data Vault methodologies to support Husky's Enterprise Data Management strategy. The role contributes to the development of scalable analytical solutions that improve operational efficiency, product quality, customer experience, and strategic decision-making across the organization
Key Responsibilities & Key Success Metrics:
Advanced Analytics & Data Science
• Identify business opportunities and challenges that can be addressed through advanced analytics, machine learning, and artificial intelligence.
• Design, develop, validate, and deploy predictive and prescriptive models.
• Develop forecasting, anomaly detection, optimization, and classification models.
• Apply statistical analysis and machine learning techniques to solve complex business problems.
• Create reusable analytical assets and data science accelerators.
Data Engineering & Data Preparation
• Profile, assess, transform, and prepare enterprise data for analytical use.
• Develop and maintain data pipelines using Azure Data Factory, Databricks, Microsoft Fabric, and SQL-based technologies.
• Assist in the design and implementation of Enterprise Data Vault and Analytical Data Models.
• Support data integration initiatives spanning ERP, CRM, Manufacturing, IoT, and external data sources.
Data Visualization & Business Intelligence
• Create analytical dashboards and executive reporting solutions using Power BI.
• Translate complex analytical findings into business-focused recommendations.
• Collaborate with business stakeholders to define KPIs, metrics, and reporting requirements.
• Present analytical insights to technical and non-technical audiences.
AI & Machine Learning Operations (MLOps)
• Deploy and monitor machine learning models in production environments.
• Implement model versioning, monitoring, governance, and performance management.
• Support MLOps practices utilizing Databricks MLflow, Azure Machine Learning, Git, and CI/CD pipelines.
• Ensure model explainability, reproducibility, and governance standards are maintained.
Enterprise Data Management
• Support Husky's Enterprise Data Management strategy and roadmap.
• Contribute to Data Governance, Data Quality, Metadata Management, and Master Data initiatives.
• Partner with Data Architects and Data Governance teams to ensure data consistency and compliance.
• Support implementation of enterprise data standards and best practices.
Stakeholder & Project Engagement
• Facilitate requirements gathering and business analysis sessions.
• Act as a consultant between business teams and technical delivery teams.
• Participate in enterprise analytics and digital transformation initiatives.
• Support project delivery through analysis, design, testing, deployment, and user adoption activities.
Key Success Metrics
Delivery Metrics
• % of analytics projects delivered on time and within scope.
• Number of production-ready analytical solutions delivered annually.
• Reduction in manual reporting effort through automation.
Data Quality Metrics
• Data quality score improvement across supported domains.
• Reduction in data-related incidents and defects.
• Accuracy and completeness of analytical datasets.
Business Value Metrics
• Measurable business benefits generated from analytical solutions.
• User adoption rate of dashboards and analytical tools.
• Increase in business process efficiency supported by analytics.
AI/ML Metrics
• Predictive model accuracy and performance.
• Machine learning model deployment success rate.
• Percentage of models actively monitored through MLOps processes.
Stakeholder Satisfaction
• Business stakeholder satisfaction scores.
• Reduction in reporting turnaround time.
• Number of self-service analytics capabilities enabled.
• Supporting program manager in delivery of the overall advanced analytical solutions
• Ensuring that quality standards are met
• Supporting Enterprise Data Management Strategy
Qualifications:
Education
• Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related discipline.
• Master's Degree considered an asset.
Experience
• 5-10 years of experience in Data Science, Analytics, Data Engineering, Business Intelligence, or Enterprise Data Management.
• Experience delivering analytics and reporting solutions in manufacturing, industrial, or global enterprise environments.
• Experience working with cross-functional international teams.
Technical Skills
Data Science & Analytics
• Python
• R
• SQL
• Machine Learning
• Statistical Analysis
• Predictive Modeling
• Feature Engineering
• AI/Generative AI technologies
Cloud & Analytics Platforms
• Microsoft Azure
• Azure Data Lake Storage (ADLS)
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Microsoft Fabric
• Azure Machine Learning
• Databricks Lakehouse Platform
Databricks Expertise
• Databricks Workflows
• Delta Lake
• Unity Catalog
• MLflow
• PySpark
• Spark SQL
• Structured Streaming
• Databricks Asset Bundles
Business Intelligence
• Power BI
• Power BI Service
• DAX
• Tableau (asset)
• Semantic Models
Database Technologies
• SQL Server
• Oracle
• Snowflake (asset)
• Fabric Warehouse
• Azure SQL
Data Architecture & Governance
• Data Vault 2.0
• Kimball Dimensional Modeling
• Enterprise Data Warehousing
• Data Governance
• Data Quality Management
• Master Data Management (MDM)
• Metadata Management
DevOps & DataOps
• Git
• Azure DevOps
• CI/CD Pipelines
• Infrastructure as Code
• Agile/Scrum Methodologies
Husky TechnologiesTM offers a competitive compensation and benefits package and excellent opportunities for growth and advancement. We are committed to equal employment opportunity and respect, value and welcome diversity in our workplace. Husky TechnologiesTM also values being a great place to work and strives to maintain a safe workplace. Accordingly, Husky TechnologiesTM conditions all offers of employment on satisfactory completion of background checks. No agency or telephone inquiries please.
Title
The job application is a simple 3 step process:
Uploads must be in the PDF file format
Definitions
This employer is a Government contractor subject to the Vietnam Era Veterans' Readjustment Assistance Act of 1974, as amended (VEVRAA) which requires Government contractors to take affirmative action to employ and advance in employment: (1) disabled veterans; (2) recently separated veterans; (3) active duty wartime or campaign badge veterans; and (4) Armed Forces service medal veterans
These classifications are defined as follows:
. A "disabled veteran" is one of the following:
. a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or
· a person who was discharged or released from active duty because of a service-connected disability.
. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.
· An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.
· An "Armed Forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.
Protected veterans may have additional rights under USERRA-the Uniformed Services Employment and Reemployment Rights Act. In particular, if you were absent from employment in order to perform service in the uniformed service, you may be entitled to be reemnloved bv vour emnlover in the nosition vou would have.
Protected veterans may have additional rights under USERRA-the Uniformed Services Employment and Reemployment Rights Act. In particular, if you were absent from employment in order to perform service in the uniformed service, you may be entitled to be reemployed by your employer in the position you would have obtained with reasonable certainty if not for the absence due to service. For more information, call the U.S. Department of Labor's Veterans Employment and Training Service (VETS), toll-free, at 1-866-4-USA-DOL.
Reasonable Accommodation Notice
If you are a disabled veteran it would assist us if you tell us whether there are accommodations we could make that would enable you to perform the essential functions of the job, including special equipment, changes in the physical layout of the job, changes in the way the job is customarily performed, provision of personal assistance services or other accommodations. This information will assist us in making reasonable accommodations for your disability. Submission of this information is voluntary and refusal to provide it will not subject you to any adverse treatment. The information provided will be used only in ways that are not inconsistent with the Vietnam Era Veterans' Readjustment Assistance Act of 1974, as amended.
The information you submit will be kept confidential, except that (i) supervisors and managers may be informed regarding restrictions on the work or duties of disabled veterans, and regarding necessary accommodations; (ii) first aid and safety personnel may be informed, when and to the extent appropriate, if you have a condition that might require emergency treatment; and (iii) Government officials engaged in enforcing laws administered by the Office of Federal Contract Compliance Programs, or enforcing the Americans with Disabilities Act, may be informed.
Self-Identification
As a Government contractor subject to VEVRAA, we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. If you believe you belong to any of the categories of protected veterans listed above, please indicate by checking the appropriate option below.
Vollzeit
IT Architektur & Infrastruktur