Stefanini North America and APAC
Marketing Data Scientist
Stefanini North America and APAC, Durham, North Carolina, United States, 27703
Stefanini Group is hiring!
Exciting opportunity awaits, let us help you get started!
Click Apply Now or you may call: (248)-213-3671 / email: John.D.Maestre@stefanini.com for faster processing!
Open to W2 candidates!
HYBRID
Job Title: Marketing Data Scientist
Work Hours: Hybrid working schedule, 3 days in office, 2 days working from home in a week.
Work Location: 26 Davis Drive Research Triangle Pa NC USA 27709
Description
MARKETING DATA SCIENTIST
A Marketing Data Scientist is needed to support the Commercial excellence- data science team.The Marketing Data Scientist must have particular experience building statistical models in python and utilizing data science packages in python.Must also have specific experience translating modeling analytics using tableau and PowerBI.Purpose of Role
The Marketing Data Scientist will model complex business problems by building statistical models in python and utilizing data science packages in python with the purpose of providing market insights through data analysis.The Marketing Data Scientist will participate in a community-of-practice to maximize the effectiveness of the insights team, through knowledge sharing and thoughtful curation of algorithms and methods.The Marketing Data Scientist will be responsible for coordinating and initiating their own activities as it relates to maximizing the value of insights delivered and derived from data.Use advanced analytics and machine learning methods to extract value from business data.Perform large-scale experimentation and build data-driven models to answer business questions.Recommend and drive the continuous improvement and growth of the APN Insight Platform.Get a chance to solve real world problems and serve in a community that pushes data science forward.Experience Required
BS required in quantitative/computational science (or similar field) with an MS preferred.Specific experience building statistical models in python and utilizing data science packages in python.Specific experience using tableau and PowerBI as a framework to translate modeling analytics.Applied experience in one of the following areas, Machine Learning, Operation Research, Applied mathematics or other related quantitative discipline.2+ years' experience in using statistic/modeling tools in non-academic environment with a focus on business growth.Demonstrated hands-on experience with R, Python, or similar data science tools.Demonstrates basic understanding of software development best practices (version control, specification, code documentation and review).Experience with enterprise-wide data initiatives and working with complex data and system infrastructures.Experience in change management, scoping, requirements, and solutions execution.Experience in defining metrics and scorecards to demonstrate benefits of a successful data governance program.Experience in handling exceptions and communication and partnering with cross-functional teams.Knowledge of IT and business management Information systems from a data perspective.Experience working in cloud-first environments, particularly Azure, AWS, Databricks.Exposure to and experience with visualization tools (e.g. Tableau, Power BI).Certifications or publications relevant to data science, technical expertise, or marketing insights.Additional Requirements
Must have recent experience in the following items:
Building statistical models in python.Using data science packages in python with the purpose of providing market insights through data analysis.Working in cloud-first environments, particularly Azure, Databricks.Position can be fully remote but must be on East Coast or Central time.Seeking candidates that have completed an undergraduate or graduate level program in either data science, statistics, machine learning, or computer science within the last 1-5 years.Proficient in python programming experience from both a data management and working experience on the data/statistical modeling standpoint.Modeling such as forecasting, prediction, timeseries, logistic or linear regression.Salary Information
Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives.
Who We Are
The Stefanini Group is a global provider of offshore, onshore, and nearshore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than 400 clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting, company with a global presence.
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Exciting opportunity awaits, let us help you get started!
Click Apply Now or you may call: (248)-213-3671 / email: John.D.Maestre@stefanini.com for faster processing!
Open to W2 candidates!
HYBRID
Job Title: Marketing Data Scientist
Work Hours: Hybrid working schedule, 3 days in office, 2 days working from home in a week.
Work Location: 26 Davis Drive Research Triangle Pa NC USA 27709
Description
MARKETING DATA SCIENTIST
A Marketing Data Scientist is needed to support the Commercial excellence- data science team.The Marketing Data Scientist must have particular experience building statistical models in python and utilizing data science packages in python.Must also have specific experience translating modeling analytics using tableau and PowerBI.Purpose of Role
The Marketing Data Scientist will model complex business problems by building statistical models in python and utilizing data science packages in python with the purpose of providing market insights through data analysis.The Marketing Data Scientist will participate in a community-of-practice to maximize the effectiveness of the insights team, through knowledge sharing and thoughtful curation of algorithms and methods.The Marketing Data Scientist will be responsible for coordinating and initiating their own activities as it relates to maximizing the value of insights delivered and derived from data.Use advanced analytics and machine learning methods to extract value from business data.Perform large-scale experimentation and build data-driven models to answer business questions.Recommend and drive the continuous improvement and growth of the APN Insight Platform.Get a chance to solve real world problems and serve in a community that pushes data science forward.Experience Required
BS required in quantitative/computational science (or similar field) with an MS preferred.Specific experience building statistical models in python and utilizing data science packages in python.Specific experience using tableau and PowerBI as a framework to translate modeling analytics.Applied experience in one of the following areas, Machine Learning, Operation Research, Applied mathematics or other related quantitative discipline.2+ years' experience in using statistic/modeling tools in non-academic environment with a focus on business growth.Demonstrated hands-on experience with R, Python, or similar data science tools.Demonstrates basic understanding of software development best practices (version control, specification, code documentation and review).Experience with enterprise-wide data initiatives and working with complex data and system infrastructures.Experience in change management, scoping, requirements, and solutions execution.Experience in defining metrics and scorecards to demonstrate benefits of a successful data governance program.Experience in handling exceptions and communication and partnering with cross-functional teams.Knowledge of IT and business management Information systems from a data perspective.Experience working in cloud-first environments, particularly Azure, AWS, Databricks.Exposure to and experience with visualization tools (e.g. Tableau, Power BI).Certifications or publications relevant to data science, technical expertise, or marketing insights.Additional Requirements
Must have recent experience in the following items:
Building statistical models in python.Using data science packages in python with the purpose of providing market insights through data analysis.Working in cloud-first environments, particularly Azure, Databricks.Position can be fully remote but must be on East Coast or Central time.Seeking candidates that have completed an undergraduate or graduate level program in either data science, statistics, machine learning, or computer science within the last 1-5 years.Proficient in python programming experience from both a data management and working experience on the data/statistical modeling standpoint.Modeling such as forecasting, prediction, timeseries, logistic or linear regression.Salary Information
Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives.
Who We Are
The Stefanini Group is a global provider of offshore, onshore, and nearshore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than 400 clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting, company with a global presence.
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