Position: Data Scientist
Company: DNA325
Experience required: 2y
Category: Data Science
English level: intermediate
Published: 2020-11-01T00:00:00+02:00

Requierements:
2+ years of hands-on experience in predictive modelling and analysis; 
2+ years Python, R, or Matlab experience; 
2+ years of experience writing complex SQL queries in a business environment;
2+ years experience with Tableau, OBIEE, or other visualization tools; 
2+ years experience operating in a Unix/Linux environment;
Bachelor's or Master's degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics or similar).

Preferred Qualifications:
A/B test experience;
Analytical mindset and ability to see the big picture and influence others;
Detail-oriented and must have an aptitude for solving unstructured problems;
Ability to work effectively in a multi-task, high volume environment;
Ability to be adaptable and flexible in responding to deadlines and workflow fluctuations.

Responsibilities: 
Develop dashboards and recurring reports for internal use;
Maintain the integrity of data pipelines and dependent reporting;
Gather and connect data from the cost side of marketing and revenue side from multiple systems into a centralized location and then help create a usable visual representation for analysis;
Help make decision rules for staff and automation tools based on historical data;
Design, development, and evaluation of highly innovative models;
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation;
Work closely with software engineering teams to drive real-time model implementations and new feature creations;
Conduct market research for various market segments;
Analyze ad campaigns for opportunities to scale or cut losses based on internal and external variables;
Identify high potential but underutilized traffic areas, propose strategies to increase their exposure and boost sales;
Implement the strategies and set up A/B test experiments to gauge the impact, and reiterate.