Data Scientist

Leveraging knowledge in analytical and statistical algorithms to assist stakeholders in improving their business

Partnering on the design and implementation of statistical data quality procedures for existing and new data sources

Communicating complex data science solutions, concepts, and analyses to team members and business leaders

Presenting data insights & recommendations to key stakeholders

Establishing links across existing data sources and finding new, interesting data correlations

Ensuring testing and validation are components of all analytics solutions

You’ll work in a dynamic office environment. You’ll excel in this role if you are a self-starter who can work independently as well as in a team. If you’re comfortable presenting data and findings in front of team members & stakeholders and have excellent problem-solving skills, this could be the role for you

What You’ll Bring

Required Qualifications 
Experience: Data analytics experience: 3 years, programming experience: 2 years

Education: Bachelor’s degree in computer science, statistics, or operations research, or equivalent combination of education and experience

Technical skills: Python, R, comprehensive SQL skill, Spark, Hive

Skills: Experience with analytics and modeling on large datasets encompassing millions of records; Experience with the full model development and implementation cycle from ideation; Research, train and test models to model implementation

Abilities: Perform in-depth & independent research and analysis; Experience using a data science toolkit such as Python or R, command of statistical techniques and machine learning algorithms; Ability to work with minimum supervision; Effective communication, verbal and written, relationship management, and customer service skills with a focus on working effectively in a team environment

Travel: As required (10%)

Preferred Qualifications
Education: Graduate degree in statistics, mathematics, analytics or operations research

Experience: Experience in working with large consumer data to discern consumer behaviors and risk profiles, ideally in telecommunication or banking industries