Position: Data Scientist
Company: Civenty
Category: Data Science
Experience required: 2y
English level: upper

UNI is delivering the first ever holistic ecosystem focused on the international diamond industry. Partnering and acting on behalf of many of the sector’s most important natural polished diamond manufacturers, UNI’s groundbreaking business model has transformed it into one of fastest growing firms in the industry. Providing financing, online and offline sales and logistics services and solutions, and in-depth industry intelligence, UNI is the only company worldwide with the infrastructure and logistical capacity to aggregate and consolidate any size of diamond demand from multiple suppliers, evaluate and carry out quality checks for retail clients, and then complete the sales and secure delivery process through to the final buyer. Operating on a transparent digital platform, UNI aims to enhance trust and confidence in the diamond industry globally.
   
We are looking for a problem solver Data Scientist, who is passionate about data with strong analytical and development skills to join us on our journey.

**Core Responsibilities**
●	Design, implement and deploy ML/DL algorithms
●	Apply quantitative analysis and an insightful presentation of data to see beyond the numbers
●	Automate data collection procedures, and pre-processing of structured and unstructured data
●	Analyze large amounts of data to discover trends and patterns
●	Apply data mining techniques, perform statistical analysis, and build high-quality prediction modelling
●	Meet the business vision and strategy in accordance with the product innovation backlog
●	Collaborate with the product, engineering, Finance and UX/UI teams to deliver usable and informative analytical interfaces
●	Maintenance and automation of ETL and QA processes.

**Qualifications & Skills**
●	2+ Years of proven experience as a Data Scientist
●	High-level of Python
●	Excellent understanding of machine learning techniques and algorithms and methodology (Boosting models' advantage!)
●	Experience with common data science toolkits, such as Pandas, Scikit-learn, Keras. 
●	High-level applied statistics skills, such as distributions, statistical testing, etc.
●	Experience in data mining and insight drawing from large data sets
●	Proficiency in using query SQL.
●	Data-oriented personality, analytical mind, and problem-solving aptitude
●	Team player with excellent communication and presentation skills to tech / non-tech people alike
●	B.Sc. in Computer Science, Engineering, Mathematics, Economics, or relevant field
●	Fluent in English, both written and verbal
●	Skilled at working effectively with cross functional remote teams in a matrix organization
●	Familiarity with the Diamonds & luxury goods industry- an advantage