Contractor Options Senior Marketing Data Scientist

Kforce has a client in Phoenix, AZ that is seeking a Senior Marketing Data Scientist. This is a true contract position, possibility for extension but no guarantee. This is remote but have to be able to work in AZ.

Responsibilities:
* Model development and deployment in non-prod and prod in AWS using Python, R, etc.
* Model Monitoring: Continuously monitor the performance of deployed models and update them as needed to maintain accuracy; May need to develop dashboard/tool to track performance if needed
* Support MMM and app maintenance and further development; Push changes to production using AWS Sagemaker, EC2, Terraform, Bitbucket, etc.
* Assist with ad-hoc data requests, data exploration and building business knowledge models. Build intelligent dashboards if needed using SQL, PBI
* Provide actionable insights from model and analysis to drive marketing strategies; Be able to identify trends, risks, and opportunities based on historical data and predictive models; Be able to present the findings for stakeholders if needed
* Conduct cross-functional collaboration, stakeholder meetings and provide documentations and internal trainings
* Lead projects, manage timelines, and ensure deliverables meet the business objectives and are delivered on time
* Perform other duties as assigned or apparent

REQUIREMENTS:
* Bachelor's degree in Statistics, Computer Science, Economics, Operation Research, Industrial Engineering, Mathematics, Marketing Analytics, etc.; Master's degree in Statistics, Computer Science, Economics, Operation Research, Industrial Engineering, Mathematics, Marketing Analytics, etc. preferred
* At least 3-4 years of hands-on experience in machine learning, marketing analytics, statistical modeling, marketing mix modeling
* At least 3-4 years of experience with various statistical techniques such as regression analysis, time series analysis, and predictive modeling, optimization, etc.
* Proficiency (3-4 years) in statistical software such as SQL, R, Python, PBI, etc.
* Proficiency (3-4 years) in analyzing complex data sets and derive actionable insights
* Familiarity (1-2 years) with marketing research methodologies and tools
* Familiarity (1-2 years) with AWS Sagemaker and Lambda functions; Terraform experience will be preferred
* Strong problem-solving skills and attention to detail
* Understanding of business objectives and how marketing analytics can support decision-making and drive business growth
* Ability to align marketing strategies with broader organizational goals and objectives
* Ability to communicate complex analytical findings to non-technical stakeholders in a clear and concise manner
* Collaborative approach to working with cross-functional teams, including media, creative, product, and finance

Nice to Have:
* AI and multi-touch attribution model experience
* Deep understanding of marketing concepts, including advertising, distribution, and campaign strategies
* Familiarity with different marketing channels and their impact on business performance
* Knowledge of industry trends and best practices in marketing analytics

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.