Collaborating actively across functional partners and senior management to accomplish various project objectives.
Executing research and analytics, including data source identification, processing, model/algorithm development.
Turning insights into actionable recommendations which will drive business value creation. We need someone who is technically capable as a Data Scientist.
You will get into the details of the data, demonstrating artificial intelligence and analytic tools (Python, R, Scala, Spark, TensorFlow, Hadoop, KNIME, etc.) to unlock business building insights in our mountains of data.
You must be adept at demonstrating technologies for solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to translate your innovations into robust, scaled, analytic solutions.
Job Qualifications
Role Requirements
Bachelors in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.), Advanced courses in Business Analytics/Data Science/Data Analytics
2+ years experience with proven leadership in applying and scaling Analytic techniques to deliver impactful insights from data (in academics or in industry).
Strong written and verbal communication skills to influence others to take action.
Able to balance multiple priorities.
Good social skills, self-motivated, dynamic with a can-do mentality.
Strong enthusiasm and curiosity about the intersection of business and technology.
Scientific Computing: R, Python, C++, Java, Scala, etc.
Preferred skills to have
Masters in a quantitative field (Operation Research, Computer Science, Engineering, Applied Math, Statistics, Physics, Analytics, etc.) or have equivalent work experience.
Experience in disrupting current business practices in CPG or related industries to help crafting a new go-to-market models.
Experience with Analytical Tools/Applications including:
Unix/Linux
Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, HIVE
High-Performance Parallel and Distributing Computing
Deep Learning frameworks: Keras, Tensorflow
Data Visualisation
Data Management Systems
Business Intelligence tools: such as KNIME, Tableau etc.
