Research Data Scientist Job in Analytics Quotient

KEY RESPONSIBILITIES

• Contribute to the strategic development of AQ analytics and create blueprints.
• Design and deliver innovative, state-of-the-art machine learning products and platforms in-line with AQ s go-to-market strategy.
• Research new or adapt existing machine learning approaches to provide decision support to some of the leading marketers in the world.
• Be involved across all the different stages: from data discovery/generation and feature engineering to model building and prototype design.
• Partner with various stakeholders (within AQ as well as the larger Kantar organization) to innovatively answer key business questions.
• Empower the growing AQ community to generate value from existing data assets.
• Frame optimal analytical solutions to business problems by leveraging the latest developments in Machine Learning.
• Be a thought-leader, keeping up with the academic and industry trends.

ESSENTIAL SKILLS & QUALITIES

• Excellent theoretical understanding of machine learning concepts and practice.
• Experience in various statistical and machine learning models.
• Strong expertise in one of the following - Bayesian Modelling, Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Timeseries Models, Stochastic/ Markov Models, NLP etc.
• Proficiency in statistical and other tools/languages preferably R/ Python.
• Knowledge of numerical optimisation methods.
• Knowledge of NLP and related solutions.

QUALIFICATIONS

• Graduate degree in Applied Statistics, Mathematics, or Computer Science from a premier institute.
• 4 years of experience building cutting edge analytic solutions from scratch.

SALARY & OTHER DETAILS

• Salary including benefits will be based on prior experience & qualifications and will match industry standards.