Data Scientist, BI
Прямой работодатель Picsart ( picsart.com )
Опыт работы любой
Picsart is looking for a Data Scientist. The role is one of Picsart’s most important positions while owning principles of data-driven business decisions. Data Scientist is responsible for full data processes.
Responsibilities:
- Be a part of the team that drives the product change, together with Product Manager, Technical Lead and UX designer
- Work with huge datasets - get, clean and analyze them to answer business questions and provide insights
- Make behavioral research to understand users’ needs and recommend changes
- Visualize and make effective presentations to communicate complex findings in a structured way for non-technical audience
- Dig deeper into data and find reasons for user churn, trends, and metrics changes
- Integrate new tools to solve problems more effectively when needed
- Define the underlying architecture of data collection
- Work with QA and development team to make sure that everything develops according to our standards.
Required Qualifications:
- BS/MA degree in Economics or a related field
- Experience with databases, complex SQL querying
- Experience with data manipulation languages such as R, Python (Pandas, visualization and statistical libraries, etc.)
- Knowledge of statistics (hypothesis testing, regression models, performing full exploratory analysis)
- Knowledge of BI software (Tableau, Microsoft BI, etc.)
- Knowledge of basic programming, algorithms, and set theory is highly desirable
- Strong analytical skills with the ability to manage data collection process, organize, analyze and disseminate significant amounts of information with attention to detail
- Self-motivated, quick learner and innovative person
- Good time management skills and punctuality
- Good communication and knowledge sharing skills
- Advanced written and verbal English communication skills.
Our benefits:
We offer flexible working hours, remote work, other good opportunities, as:
- Internal, External & Online Trainings;
- Team Building;
- Medical Insurance;
- Gym Package;
- Gifts for New-Born Babies.