Data Scientist

At ThinkBumbleBee Analytics, we derive insights that enable our clients to make data-driven decisions. We believe in demanding more from the fields of Mathematics, Computer Science and Business Logic. Combining these, we show our clients a 360-degree view of their business.

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Skills to work in a challenging, complex project environment

Naturally curious and passionate for understanding consumer behaviour.
A high level of motivation, passion and high sense of ownership.
Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities.
Flexibility to work on multiple projects and deadline-driven, fast-paced environment.
Ability to work in ambiguity and manage chaos basis our varied client needs.

Algorithm & Solution Development skills

Solid understanding and experience in statistical methods and programming.
Experience in both supervised (classification models, regression) and unsupervised learning (clustering, PCA,LDA).
High level of proficiency in any two of the following:

Hypothesis testing, insights generation, root cause analysis, drivers analysis.
Marketing effectiveness, performance marketing, attribution modelling, MMM.
Personalisation, campaign management, design of experiments.
Machine Learning (ML) models development in MATLAB, Python, R and SAS.
Developing algorithms using NLP and Text Analytics based solutions for clients, deep learning models, use of Word2Vec.
Data Engineering and development of Big Data solutions.
Apache Spark/SparkStreaming, Cassandra, Apache Apex.
Data visualisation using D3.JS, 3JS, RShiny, Tableau, Qlik and PowerBI or any other leading data visualisation.

Qualifications

BE/B.Tech from Tier 1 colleges (IIT/ISI/NIT/BITS/BIT/IIIT/REC) in ComputerScience/Statistics.
MS or Ph.D. in Applied Mathematics, Statistics, Computer Science, Operations Research, Economics or equivalent.
Should have minimum of 3 years’ experience in Data Science.

Project Delivery skills

Gather, process, analyse and extract conclusions out of complex, high-volume, high-dimensional data coming from varying sources.
Design, framework development and implementation of analytics solutions.
Generate insights and recommendations for clients.

Data Scientist

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