This is an ideal opportunity for someone who wants to level up and work towards productizing statistical and predictive models in our enterprise platform. The ideal candidate should have a strong background in statistics and should have a keen interest in building machine learning models. Tenacity to work on open-ended problems, and being able to connect ongoing research to business challenges is a definite plus.
What we are looking for
- Solid understanding of statistical modelling, data mining, machine learning, predictive analytics and portfolio optimization.
- Self-starter with strengths managing multiple projects simultaneously and driving them to completion.
- Willingness to tackle new challenges, conduct research, and implement new ideas.
- Someone who is curious enough to keep pace with industry trends and explore feasibility for integrating them as part of our core products
What you will work towards
- Develop predictive models to understand the impact of advertising across multiple channels, including marketing mix modeling and market forecasting.
- Develop and scale predictive and descriptive models using advanced statistical and optimization algorithms, including regression, random forests, classification, and time series forecasting.
- Drive and synthesize insights to generate actionable recommendations.
- Proficient at translating unstructured business problems into abstract mathematical solutions
- Design and develop techniques for handling multivariate optimization across advertising campaigns.
- Collaborate with engineering team into productizing models
Links to explore the kind of work we do
- BE / BTech / MS Computer science, Statistics, or Maths
- Proficient in Python, SQL, APIs
- Proficient in our Data Science stack - Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Jupyter Notebooks.
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