Role & Responsibilities:

• Work with interdisciplinary engineering and research teams, internal and external; on designing, building and deploying data analysis systems for large data sets
• Work closely with key business units to apply data science to their mission specific content
• Create algorithms to extract information from large data set
• Establish scalable, efficient, automated processes for model development, model validation, model implementation and large-scale data analysis
• Develop metrics and prototypes that can be used to drive business decisions
• Provide thought-leadership and dependable execution on diverse projects
• Identify emergent trends and opportunities for future business growth and development
• Research and identify Artificial Intelligence (AI) and Machine Learning (ML)  methods; and ideate new applications of AI/ML for key business units
• Explores existing data for insights and recommends additional sources of data for improvement

Requirements:

• 6-10 years of work experience
• Degree in Data Science or analytics related disciplines
• Excellent programming skills in one major programming language (Java/Python/R/Scala)
• Good understanding of distributed computing concepts
• Experience with database, workflow and orchestration frameworks preferred (e.g. SQL, Kafka; NiFi, Docker, Kubernetes, etc.)
• Strong understanding of ML, NLP and statistical methodologies
• Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation
• Experience with search engines, classification algorithms, recommendation systems and relevance evaluation methodologies a plus
• Must be creative, intellectually curious, and willing to experiment and work in a dynamic environment, sometimes with little oversight or well-defined requirements
• Good team player / self-starter with the ability to work using own initiative
• Strong planning, time management and organizational skills
• Ability to operate and communicate effectively with both technical and business stakeholders

We offer an attractive remuneration package and excellent career prospects to the right candidate.  Please send full resume including the current & expected salary and the contact information by clicking “Apply Now”. 

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