Job Information
Publicis Groupe Senior Data Scientist in Bengaluru, India
Overview
About BU:
Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior stakeholders and staying ahead of market trends, powered by our big data assets. By leveraging new-age analytic tools and emerging technologies, the team fosters a dynamic learning environment for curious minds to thrive.
Responsibilities
Contribute and build an internal product library that is focused on solving business problems related to prediction & recommendation.
Research unfamiliar methodologies, techniques to fine tune existing models in the product suite and, recommend better solutions and/or technologies.
Improve features of the product to include newer machine learning algorithms in the likes of product recommendation, real time predictions, fraud detection, offer personalization etc
Collaborate with client teams to on-board data, build models and score predictions.
Participate in building automations and standalone applications around machine learning algorithms to enable a “One Click” solution to getting predictions and recommendations.
Analyze large datasets, perform data wrangling operations, apply statistical treatments to filter and fine tune input data, engineer new features and eventually aid the process of building machine learning models.
Run test cases to tune existing models for performance, check criteria and define thresholds for success by scaling the input data to multifold.
Demonstrate a basic understanding of different machine learning concepts such as Regression, Classification, Matrix Factorization, K-fold Validations and different algorithms such as Decision Trees, Random Forrest, K-means clustering.
Demonstrate working knowledge and contribute to building models using deep learning techniques, ensuring robust, scalable and high-performance solutions
Qualifications
Minimum Qualifications:
Education: Master's or PhD in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science) is highly preferred.
Deep Learning Mastery: Extensive experience with deep learning frameworks (TensorFlow, PyTorch, or Keras) and advanced deep learning projects across various domains, with a focus on multimodal data applications.
Generative AI Expertise: Proven experience with generative AI models and techniques, such as RAG, VAEs, Transformers, and applications at scale in content creation or data augmentation.
Programming and Big Data: Expert-level proficiency in Python and big data/cloud technologies (Databricks and Spark) with a minimum of 4-5 years of experience .
Recommender Systems and Real-time Predictions: Expertise in developing sophisticated recommender systems, including the application of real-time prediction frameworks.
Machine Learning Algorithms: In-depth experience with complex algorithms such as logistic regression, random forest, XGBoost, advanced neural networks, and ensemble methods.
Experienced with machine learning algorithms such as logistic regression, random forest, XG boost, KNN, SVM, neural network, linear regression, lasso regression and k-means.
Desirable Qualifications:
Generative AI Tools Knowledge: Proficiency with tools and platforms for generative AI (such as OpenAI, Hugging Face Transformers).
Databricks and Unity Catalog: Experience leveraging Databricks and Unity Catalog for robust data management, model deployment, and tracking.
Working experience in CI/CD tools such as GIT & BitBucket
Additional Information
Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.
Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions each day using advanced AI and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.
Epsilon has a core set of 5 values that define our culture and guide us to create value for our clients, our people and consumers. We are seeking candidates that align with our company values, demonstrate them and make them meaningful in their day-to-day work:
Act with integrity. We are transparent and have the courage to do the right thing.
Work together to win together. We believe collaboration is the catalyst that unlocks our full potential.
Innovate with purpose. We shape the market with big ideas that drive big outcomes.
Respect all voices. We embrace differences and foster a culture of connection and belonging.
Empower with accountability. We trust each other to own and deliver on common goals.
Because You Matter
YOUniverse. A work-world with you at the heart of it!
At Epsilon, we believe people make the place. And everything we do is designed with you in mind. That’s why our work-world, aptly named ‘YOUniverse’ is focused on creating a nurturing environment that elevates your growth, wellbeing and work-life harmony. So, come be part of a people-centric workspace where care for you is at the core of all we do.
Take a trip to YOUniverse and explore our unique benefits, here (https://www.epsilon.com/apac/youniverse)
Epsilon is an Equal Opportunity Employer.
Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.