Associate Data Scientist
1 day ago
Location: Remote
About the company: Founded by entrepreneur Rajiv Dingra, RD&X Network is a technology company offering transformational MarTech, AdTech, and Deep tech products and solutions to drive creative, media, data, and business transformation, helping global businesses become real-time, disruptive, and thereby, achieve exponential growth. We are a geography agnostic, hybrid work culture, and agile company which is focused on a forward-looking work culture. We have some of the best industry talents on board and we identify ourselves as Transformists. We believe that transformation is not just for business, but for our people too.
To know about the products that we are building, you can take a quick glance at our website:
Key Responsibilities
- Partner with stakeholders to translate business requirements into data science problems
- Design & develop effective algorithms for multi-channel budget & bid optimization specific to Walled Garden AdTech ecosystem
- Develop effective ways to perform customer segmentation, churn prediction and build large scale Machine Learning models using customer and device data with the intention of gaining actionable insights and making data-driven decisions.
- Work on Large Language Models (LLM) & Generative AI to create solutions which carter to clients
- Document and improve the existing algorithms and machine learning models over time
- Develop metrics and key goals to measure the outcome of the proposed solutions
- Be involved and participate in the end-to-end products' lifecycle management
- Collaborate with multidisciplinary team of Data Scientists, engineers, system administrators and product team
Skills and Experience
- Bachelor's degree in Computer Science, Statistics, Mathematics or related field
- Experience in working with Large Language Models (LLM) & Generative AI
- Intermediate proficiency in SQL to query, store and manage large datasets
- Strong programming skills in Python (Pandas,NumPy,Scikit-learn)
- Have good understanding of ML techniques like Model regularization, Boosting, Random Forests, Ensemble Methods, time series modelling
- Knowledge of production-grade model deployment is a plus
- knowledge of REST APIs and Web services is a plus
- Ability to transition seamlessly from complex analytics to simple/precise business implications
- Excellent Written and Communication skills and strong team player
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