Data Scientist

Job Description

Description:

Position Description

• We are looking for a passionate, creative Senior Data Scientist to join Inkiru Data Science team at Client Global Tech.
• You will have the unique opportunity to work with massive business and social data generated by Client Inc.'s unparalleled online and offline commerce.
• You will be responsible to use cutting-edge machine learning, data mining, and optimization techniques to design and prototype robust, scalable predictive models and analytics solutions.
• You will be a part of a cross-functional team of Data Scientists, Engineers, Product managers, and Business professionals that sit at the intersection of Data Science, Big data, IT infrastructure, and business operations.

Responsibilities

• Be a strategic partner to product development teams, sharing insights and providing recommendations through effective communication and storytelling with data.
• Design, build and implement predictive models with high-dimensional, fast-moving real-time datasets.
• Use machine learning, deep learning and data mining techniques to develop robust predictive models for anomaly detection such as E-Commerce payment risk, membership abuse risk and identity risk assessment
• Design, analyze, and run both simulated and live experiments (A/B and multivariate tests) to drive KPI improvements.
• Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.
• Interested in researching about new methods, tools, and techniques to address complex business problems.

Minimum Qualifications

• Technical expertise in data mining, machine learning, and statistical analysis.
• Proficient in machine learning and data mining packages in Python.
• Programming skills in one of the following languages: Java, or JavaScript on a UNIX or Linux platform.
• Experience working with large data sets and distributed computing tools (BigQuery and GCP experiences preferred).
• Advanced degree (Master or Ph.D.) in any STEM field plus three years of related experience.

Additional Preferred Qualifications

• Experiences building and deploying deep learning models in production
• Experiences in the fraud detection and abuse detection domain