Data Scientist

Brandintelle is one of the first enterprise-wide solutions in India catering to streamlining marketing processes and enabling marketers to make analytics-driven decisions powered by AI.

**Who we are?**
- We are a bootstrapped start-up team of 50+ amazing & diverse individuals from varied backgrounds, ethnicities, and age-groups
- We are an employee-first Product Company, and you get to be a part of an amazing organizational roadmap.
- We make your experience 5x more enriching than a traditional MNC environment
- We work on exciting technologies and have an appetite for risk
- We are close-knit like a family and motivate each other to learn and grow both professionally and personally
- You get to don multiple hats and are not confined to a structured framework, Opinions are more than welcome in our DNA

We are currently seeking a highly skilled and analytical Marketing Mix Model (MMM) Analyst to join our dynamic team. The primary objective of this role is to utilize marketing mix modelling techniques to dissect and understand the impact of various marketing activities on key business metrics. As a pivotal member of our team, you will play a critical role in providing actionable insights to our clients, enabling them to make informed decisions and optimize their marketing strategies for maximum ROI.**Responsibilities**:

- Develop and implement marketing mix models (MMM) to analyze the effectiveness of different marketing channels and initiatives in driving business metrics such as sales, revenue, market share, and profitability.
- Collaborate with cross-functional teams including marketing, finance, and data science to gather relevant data inputs and ensure the accuracy and completeness of the modeling process.
- Conduct comprehensive data analysis and interpretation to identify key drivers and correlations between marketing activities and business outcomes.
- Utilize statistical techniques and econometric modeling to quantify the incremental impact of marketing investments on ROI.
- Generate actionable insights and recommendations based on model findings, and present findings to internal stakeholders and clients clearly and concisely.
- Continuously monitor and evaluate model performance, and refine methodologies as needed to enhance predictive accuracy and reliability.
- Stay abreast of industry trends, best practices, and emerging technologies in marketing analytics and contribute to the advancement of our analytical capabilities.
- Provide thought leadership and contribute to the development of innovative approaches and methodologies for marketing effectiveness measurement.

**Qualifications**:

- Masters/bachelor’s degree in Statistics, Economics, Mathematics, Data Science, or a related field. Advanced degree preferred.
- Proven experience of 2+ years in marketing analytics, with a focus on marketing mix modeling, econometrics, or related quantitative analysis.
- Proficiency in statistical software (e.g., R, Python) and advanced Excel skills. Experience with SAS, SPSS, or other relevant analytics tools is a plus.
- Strong understanding of marketing principles and concepts, with the ability to translate business objectives into analytical frameworks.
- Excellent analytical and problem-solving skills, with a keen attention to detail and the ability to draw meaningful insights from complex datasets.
- Effective communication and presentation skills, with the ability to convey technical concepts to non-technical audiences.
- Strong project management skills, with the ability to manage multiple tasks and stakeholders simultaneously in a fast-paced environment.
- A collaborative team player with a proactive and results-oriented mindset.

**What’s in it for you**:

- Crazy amount of learning and fun at work
- Completely remote setup and complete accountability
- No micromanagement
- Competitive Pay and Variable Structure
- Open Door Policy and Regular company offsites to interact and engage