Company Description:Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.
Job Description:We are seeking a highly skilled Senior Data Scientist with expertise in Media Mix Modeling (MMM) to join our dynamic analytics team and work on-site with our client in Hoboken NJ or Sunnyvale, California. The ideal candidate will play a critical role in providing actionable insights and optimizing marketing spend across various channels by leveraging statistical models and data-driven techniques.
Key Responsibilities:
- Develop and implement Media Mix Models to optimize marketing spend across different channels (e.g., TV, digital, radio, print, etc.).
- Analyze historical data to understand the impact of marketing efforts and determine the effectiveness of different media channels.
- Collaborate with marketing and business teams to translate business objectives into quantitative analyses and actionable insights.
- Build predictive models to forecast the impact of future marketing activities and recommend budget allocation.
- Present and communicate complex findings in a clear, concise, and actionable manner to both technical and non-technical stakeholders.
- Perform deep-dive analyses of marketing campaigns and customer data to identify trends, opportunities, and areas for improvement.
- Ensure data integrity, accuracy, and consistency in all analyses and models.
- Stay up-to-date with the latest trends and advancements in media mix modeling, marketing analytics, and data science.
- Collaborate with cross-functional teams including Data Engineering, Marketing, and Business Intelligence to ensure seamless data flow and integration.
- Create and maintain documentation for all models, methodologies, and analysis processes.
Qualifications:Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Mathematics, or a related field with 3+ years of post-grad experience.
- Technical Skills
- Proficiency in Python for data analysis and modeling
- Strong SQL skills for data querying and manipulation
- Advanced Excel skills for data handling and reporting
- Ability to create clear, compelling presentations in PowerPoint
- Focus Area
- MMM model training
- MMM model data pipelines for features and scores
- MMM input- / output-data validation
- MMM interpretation and business use
- Core Management & Execution Skills
- Ability to manage tight and shifting timelines in a high-pressure environment
- Strong attention to detail with a focus on accuracy and quality of deliverables
- Comfortable working within U.S. time zones and maintaining availability for stakeholder needs
- Stakeholder Management & Communication
- Ability to manage demanding stakeholders with professionalism and composure
- Strong communication skills, including the ability to set clear expectations and push back when needed
- Experience handling frequent interruptions, unplanned meetings, and urgent requests
Additional Information:The starting pay range for this role is $100,000 - $140,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 offers a competitive benefits program designed to support the health and financial well-being of our team members and their families. Benefits vary by role and eligibility and may include medical, dental, and vision coverage, a 401(k) plan, paid time off, paid holidays, commuter benefits, flexible spending accounts, life and disability insurance, and employee assistance programs.