Marketing Data Scientist Manager (34639)

Myticas direct client is seeking Marketing Data Scientist Manager for a 6 months+ contract-to-hire opportunity. Location: 100% REMOTE Duration: 6 Months Contract to Hire Title • Marketing Data Science Manager About The Role We are seeking a Marketing Data Science Manager who can bridge the gap between data modeling and business impact. This role will focus on leveraging data science models and analytical frameworks to generate actionable marketing insights, optimize campaign performance, and guide strategic decisions. The ideal candidate combines strong analytical and technical skills with business acumen and communication ability to translate data into meaningful narratives for stakeholders. Requirements • Education: Bachelor’s or Master’s degree in Statistics, Economics, Operation Research, Computer Science, Industrial Engineering, Mathematics, Marketing Analytics etc. • Analytical and technical skills: • Proficiency (10+ years) in analyzing complex data and models, derive and deliver actionable insights to provide data driven marketing strategy to stakeholders. Strong ability to translate model outputs into business insights and marketing recommendations. • Proficiency (7+ years) in statistical software such as SQL, R, Python, PBI for data wrangling and modeling. • Familiarity (5+ years) with AWS Sagemaker and Lambda functions. Terraform experience will be preferred. • Strong problem-solving skills and attention to detail. • Experience (required): • At least 10 years hands on experience in machine learning, marketing analytics, statistical modeling, marketing mix modeling. • At least 10 years experience with various statistical techniques such as regression analysis, time series analysis, and predictive modeling, optimization etc. • Familiarity (5+ years) with marketing research methodologies and tools. • Experience (good to have): • AI and multi-touch attribution model experience • Familiarity with ad platforms (Google Ads, DV360, etc.) • Experience in A/B testing or experimentation frameworks • Marketing Knowledge: • 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. • Business Acumen: • 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. • Communication Skills: • 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. Skills • Proficient in machine learning model and statistical model development, simulation and optimization and deployment in AWS • Proficient in SQL, Python, R for data integration and modeling projects • Advanced in AWS Sagemaker, EC2, S3, Terraform, Bitbucket, etc for deployment projects • Advanced in PBI, Excel, streamlit for analytics and visualization projects • Experience in Terraform, EC2, MMM, optimizer application will be a big plus Key Responsibilities • Develop and deploy predictive and statistical models to evaluate marketing performance (e.g., attribution, media mix modeling, churn, LTV, segmentation, optimization). • Partner with marketing, product team to translate modeling results into clear business insights & recommendations that drive growth and ROI and communicate implications to non-technical stakeholders. • Present findings to senior stakeholders through clear storytelling and visualization. • Visualize and present analytical results using tools like Power BI, Excel, etc. • Build and maintain scalable analytics pipelines using Python/R, SQL, and possibly cloud data platforms (GCP, AWS, Azure). • Partner with marketing operations to operationalize insights (e.g., audience targeting, spend optimization). • Collaborate with data engineers and analysts to improve data accessibility and accuracy. • Support ongoing model performance monitoring and iterative improvements. • Support MMM and app maintenance and development for simulation and optimization 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. • 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. • Work with marketing and product teams to design experiments, measure campaign ROI, and inform strategy. What You’ll Gain • Opportunity to help shape the organization’s marketing data science and insights function. • Direct influence on marketing strategy and customer growth initiatives. • Exposure to cutting-edge analytics and experimentation techniques in a data-driven culture. • Path to full-time employment with strong career growth opportunities. ,