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Machine Learning & Data Science Engineer

Data Science and Analytics

Data Science

Location Type
Time Commitment
Overall Budget

Job Description

he data science engineer will have a growth-oriented, lean-startup mindset for building hands-on data science solutions. The role will span full-scale product, enterprise, and operational data science. The candidate will focus and thrive in a hands-on applied role; he/she will demonstrate a strong penchant for quantitative, collaborative, outcome-orientedsolutions-engineering. The candidate is expected to possess these key skills/technologies: · ML: o statistics o regression o classification o clustering o frequent association mining o text analytics o graph analytics o recommendation systems o time series analytics o geospatial analytics o heuristic methods o connectionist systems o evolutionary methods o montecarlo studies · Programming: o python o r o node · Big Data: o data visualization o jupyterlab o pig o presto o bi tools o spark · Artificial Intelligence: o deep learning o computer vision o speech recognition o natural language understanding o conversational chatbots · Solutions Engineering: o mobile (flutter) development o azure, aws, gcp o angular, react, vue o docker/kubernetes/terraforms o ci/cd/ct Responsibilities: · Develop end-to-end decision science systems to support Business imperatives · Be a hands-on guide; partner with business and technology stakeholders to design and implement scalable big data solutions. · Be passionate to develop, teach, learn, operationalize, and scale citizen decision science. Experience 5+ years in an analytic role, preferably with direct experience in big data solutions & approaches SME in statistics, analytics, big data, data science, machine learning, deep learning, cloud, mobile, and full stack technologies. Hands-on experience analyzing large amounts of data to derive actionable insights Good communication skills and partnerships with technology, product strategy, and data office. Experience collaborating and influencing senior leaders, business partners across time zones. Self-starter and autonomous; work with a global team and demonstrate a strong sense of ownership Degree in statistics, mathematics, operations research, economics, engineering or information science A strong portfolio of GitHub, Kaggle, IP contributions.

Preferred and Additional Skills

Machine Learning
Data Structures

About the Company


YesReal Technologies Private Limited