Senior Data Scientist

About Curve Technologies:

Curve Tech utilizes your contact center data and external data sources to uncover insights and signals for each of your agent’s attrition risk.

We provide recommendations of personalized retention actions, and prioritization strategy to help you keep your best people working for your team.

About the Role:

We are looking for a Senior Data Scientist to join our data team. As a data scientist in curve you will take part in our ongoing endeavor of developing a robust analytic pipeline that is able to digest multiple types and forms of data without manual intervention and use advanced analytics to supply predictive insight. We work with many types of data and with every processing and modelling technique out there.

Our data team consists of skilled and experienced professionals with both academic and industry background in multiple scientific fields and we are seeking someone creative, smart and fun to work with to complement our versatile team.

In order to excel in our team, you need to be a skilled data scientist and a strong python developer.

Primary Responsibilities:

• Design, implement and deploy ML/DL algorithms

• Apply quantitative analysis and an insightful presentation of data to see beyond the numbers and understand how our users interact with our growth products

• Automate data collection procedures, and pre-processing of structured and unstructured data

• Analyse 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, and UX/UI teams to deliver usable and informative analytical interfaces

Basic Requirements:

• 5+ Years of proven experience as a Data Scientist, preferably working with B2C / B2B2C

SaaS products

• Python expert!

• Excellent understanding of machine learning techniques and algorithms and methodology

• Experience with common data science toolkits, such as Pandas, Scikit-learn, Tensorflow, FeatureTools and more

• 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 languages such as SQL, Hive, Pig

• Data-oriented personality, analytical mind, and problem-solving aptitude

• Team player with excellent communication and presentation skills to tech / non-tech people alike

• Academic degree in Computer Science, Engineering, Mathematics, statistics or relevant field;

• Fluent in English, both written and verbal