Position: Data Scientist
Company: Digicode
Experience required: 2y
Category: Data Science
English level: fluent
Published: 2021-06-01T00:00:00+03:00

**We are looking for someone who has:**
– Good understanding of machine learning algorithms, tools and platforms
– Python and SQL proficiency
– Experience in at least three of these Toolkits: NumPy, SciPy, scikit-learn, TensorFlow, Pytorch, Keras
– Understanding of programming fundamentals
– Experience with data development and evaluation techniques for natural language processing tasks
– Experience with natural language generation tasks, such as dialog generation, machine translation, or summarization
– Fluent English

**The right candidate will:**
– Review the data elements we are capturing to ensure that there are no major omissions
– Review production data on a regular basis to verify the quality, quantity, and consistency of data
– Develop appropriate tables for organizing and sorting out the data
– Document the data architecture, flow of data and revise them as needed.
– Create internal data reporting templates and start executing periodic reports on data quality, client/user insights etc.
– Analyze and recommend on how much data we need for each feature we want to build.
– Analyze data to capture trends and make suggestions for changes to our logic, scores, and algorithms.
– Determine which additional data elements we need to capture for the next phase of the Intelligence Engine. 
– Assist/guide development team in resolving data-related issues particularly around the use of custom and optional fields. 

**A few words about the project:**
It's the American startup founded by two top performing sales representatives from Yelp and Oracle. Their platform is based on AI solutions and it's aim is to increases sales opportunities of companies. It provides information for sales specialists like who to contact, what to say, and when to say it.

**We offer:**
– Professional and personal development
– Comfortable working environment
– 18+ working days paid vacation
– Paid sick leaves
– Medical insurance for employees, for children of employees
– Language classes
– Subscription for pool and gym
– Compensation of visiting professional conferences


**Did we catch your attention? We'd love to hear from you.**