Job Title:  Enabling Areas - AI Developer - IT

Data Scientist

Duties And Responsibilities
 

• Partner closely with stakeholders to identify high-impact applications of data to solve meaningful business problems.
• Identify, mine, and analyze medium and large size datasets to unearth insights that drive new business value for clients.
• Develop robust statistical and machine learning models and implement processes to evaluate, automate and improve model performance.
• Lead efforts with various functions to test, deploy and iterate on data science solutions
• Build, execute, and evaluate A/B tests
• Manages the progress of projects by tracking activity, resolving issues, and recommending actions; Provides senior management and project management with regular updates on deliverable timeline and project status.
• Analyzes data and collaborates with leadership and technical teams to identify potential insights to drive decision making
• Responds proactively to both business and project issues and escalates appropriately.
• Train other data scientists in area of expertise
• Provide feedback to improve the quality of data collection to ensure adequacy, accuracy and legitimacy of data (e.g. this could involve cross-checking of different sources and validating the correlation between them)

Required Technical Skills
 

• Experience working with SQL to manipulate medium/large data sets from multiple sources
• Ability to process complex data sets
• Ability to perform exploratory data analysis to discover interesting trends and relationships
• Experience applying statistical modelling, machine learning, NLP, and other quantitative techniques to solve business problems
• Experience in deep learning
• Possess understanding of and ability to communicate statistics to experts and non-experts
• Creative thinker who has proven ability to innovate through data exploration and application of solutions
• Ability to thrive in an environment that requires flexibility and multi-tasking
• Ability to take initiative and work with high level of independence
• Strong technical and remote collaboration skills are a must
• Excellent organization, analytical, and planning skills
• Experience in dealing with multiple projects and cross-functional teams and ability to coordinate across teams in a large matrix organization environment
• Strong relationship building and consulting skills. Fosters a climate conducive to establishing positive working relationships with clients and cross functional team members

Required Licenses, Certifications, And Other Requirements
 

• Fluency in Python
• Strong foundation of statistics, machine learning and deep learning
• Good understanding of concepts in NLP and Computer Vision
• Hands-on experience with ML and DL frameworks
• Familiarity with Hadoop, HBase, Hive or MapReduce or Spark (optional)

Education & Experience
 

• Industry experience in quantitative or data-related field (Statistics, Computer Science, Data Analytics, etc.)