Your primary focus will be in applying data mining techniques, enhancing
data collection procedures to include information that is relevant for
building analytic systems, doing statistical analysis, and building
high-quality prediction systems, build recommendation systems.

What You Will Do Responsibilities

Taking part in the different projects and developing internal Data Science expertise.
Working with Data Engineers and Analysts on data preparation for machine learning pipelines.
Applying state-of-the-art AI methods to solve business problems.
Performing research and developing proof of concept prototypes.

What You Should Bring

Must-have

General knowledge of SQL.
Advanced proficiency in Python programming language.
Strong background in math, linear algebra and statistics. Solid knowledge of algorithms, data structures and algorithmic complexity.
Expertise in machine learning. Proven hands-on experience and familiarity with theoretical concepts of common machine learning methods and algorithms.
Familiarity with Python numerical operations, data structures, machine learning and visualization libraries: numpy, pandas, sklearn, matplotlib, jupyter.
Solid understanding of model tuning and evaluation, ability to implement complete machine learning pipelines.
Theoretical knowledge and experience at least in one of the areas: Natural Language Processing, Computer Vision, Deep Learning, Look-alike Modeling, Recommendation Systems, Anomaly Detection.
Problem-solving skills, ability to do research tasks.
Ability to work with different data types and formats. Data preprocessing, cleaning, feature design and generation skills.
Ability to document properly systems functionality, code and methodology
Good presentational and visualization skills. Ability to describe and present results clearly, answer questions and communicate issues.

Nice-to-have

Graduate in quantitative scientific, mathematical or engineering discipline (Computer Science, Mathematics, Statistics, Engineering, Physics, Chemistry, Biology etc.

Need more info? Let's have a chat when it's okay for you.