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
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.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless
and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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