Lead Data Scientist - Media Mix Modelling (MMM)

Hyderabad, TS, India

Blend360

Blend360 co-creates value with leading companies through the integration of data, advanced analytics, technology & people. Get in touch with us today.

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Company Description

Blend at a glance:
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 Data Scientist/Analyst with expertise in Media Mix Modeling (MMM) to join our dynamic analytics team. 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.
  • Proven experience (6+ years) working in Media Mix Modeling (MMM) and/or marketing analytics.
  • Strong proficiency in statistical modeling techniques (e.g., regression analysis, time-series modeling) and data analysis.
  • Hands-on experience with tools and technologies such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI).
  • Familiarity with marketing data sources (e.g., Nielsen, IRI, social media data, CRM, etc.).
  • Excellent problem-solving skills and a strong analytical mindset.
  • Ability to translate complex data into actionable insights and recommendations for business stakeholders.
  • Strong communication skills with the ability to present findings to both technical and non-technical audiences.
  • Experience working in a fast-paced, data-driven environment.
  • Familiarity with machine learning techniques and frameworks is a plus.

Preferred Qualifications:

  • Experience working with large datasets and cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
  • Knowledge of marketing attribution models, customer segmentation, and lifetime value (LTV) analysis.
  • Experience in running A/B tests and controlled experiments.
  • Prior experience in a consulting or marketing agency environment is a plus.

Additional Information

What do you get in return?

  • Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table.
  • Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career.
  • Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future.
  • Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills.
  • Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing.
  • Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program.
  • Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: A/B testing AWS Azure Business Intelligence Consulting Data analysis Data visualization Economics Engineering GCP Google Cloud Machine Learning Mathematics Power BI Python R SQL Statistical modeling Statistics Tableau

Perks/benefits: Career development Competitive pay Startup environment

Region: Asia/Pacific
Country: India

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