HEAD OF DATA SCIENCE

•  Drive overall data strategy
• Lead team of data scientist, data engineer and BI analyst to innovate data science products according to market needs and build upon the current credit and lead scoring models
• Lead partnership discussions to understand their data landscape and how we can best leverage our partnership; manage these relationships and run successful pilots that lead to Lead on data sharing negotiations and implementation
• Work with product owners and business development team to define hypotheses, develop and execute necessary tests, experiments, and analyses to prove or disprove them
• Translate data speak to human speak by effectively conceptualizing analysis to team members and business stakeholders
• Drive adoption of data tools and dashboards and data driven decisions with emphasis on product analytics
• Developing team members in the area of career development, technical knowledge and soft skills under your care.
• Establish data policies, standards and organization
• Work with the legal and compliance and finance teams to ensure regulatory compliance

Basic Qualifications:

• Bachelor’s and/or advanced degree in Computer Science, Data Science, Engineering, Mathematics, Informatics, Information Systems, or other related fields
• Understanding of machine learning, deep learning, data mining, algorithmic foundations of optimization 
• Proven track record in data management, leadership and information technology systems and tools
• 2+ years of experience in leading a team; 5+ years of experience in application of data science and machine learning
• Proven experience in writing and speaking about complex technical concepts to broad audiences in a simplified format
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Experience with machine learning framework (scikit-learn, Spark MLlib etc)
• Proficient in one or more of the following programming languages: Python, R, Scala
• Experience in building ML models at scale, using real-time big data pipelines on platforms such as Spark/MapReduce
• Familiar with noSQL, postGIS, stream processing and distributed computing platforms
• Self-motivated, independent learner, and willing to share knowledge with team members
• Detail-oriented and efficient time manager in a dynamic and dynamic working environment
• Strong written and verbal communication skills, with a track record of presenting to senior management

Preferred Qualifications

• Working experience in the financial industry
• Experience working within a high-growth, technology company is highly beneficial
• Experience working on AWS is a big plus

We did not engage any Recruitment agencies to work on this role, please speak to our internal HR team directly.