Details:

As A General Manager - Data Scientist your main responsibilities will involve:

• Acts as the principal technical expert in the operating company, identifying opportunities to make a commercial difference and leads the development of analytics initiatives to meet business requirements

• Translates complex datasets into strategic insights for the business and communicates simply to non-technical audiences, visualising results, to create understanding and solution buy-in
• Develops analytics products to solve real business problems, taking account of user needs and technology and operational landscape
• Collaborates with a range of stakeholders in order to deliver commercial value
• Identifies new analytics trends and opportunities to drive the innovation agenda across business functions & Big Data Analytics community
• Supports the prioritisation of both internal and external data assets and works with technology in setting key requirements for data sourcing

As General Manager - Data Scientist your skills and qualifications will ideally include:

• Experience in Big Data analytics & deployment of models and algorithms from large volumes of structured and/or unstructured data in a commercial /consumer environment
• Ability to test hypotheses from raw data sets, draw meaningful conclusions, and effectively communicate results verbally, in writing, and through effective visualization
• Comfortable communicating progress and outcomes to business stakeholders using relevant language
• Strong knowledge of Big Data technology (e.g. Hadoop MR, interactive SQL on Hadoop, NoSQL, Spark, R, SAS, SciPy, Tableau, GIS)
• Broad statistical modelling expertise in various domains
• Ability to work in cross functional teams to translate business issues into potential analytics solutions
• Proficient in statistical packages and ML libraries (e.g. R, Python SciPy and NLTK, Spark MLlib, SAS)
  
• Familiar with leading visualisation tools (e.g. Tableau, Qlikview)
• Familiar with implementing data transformations and algorithms in common programming languages
• Strong communication skills with prior experience communicating analytics results to senior management

Min. Qualification:

ug

Skills Required:

algorithms, analytics, bigdata, data science, hadoop, machine learning, mathematics, modeling, nosql, python, qlikview, r, sas, spark, sql, statistical modeling, statistics, tableau, transformations