Data Scientist

Data

ulica Sarmacka 20A, Wilanów, Warszawa

AximTrade

Undetermined

Permanent

Senior

Office

4 116 - 5 881 USD

Gross per month - Permanent

Tech stack

Python

master

SQL

advanced

Job description

A fast-growing broker with headquarters in Singapore is looking for a Data Scientist who will help company in deep analysis of the data on traders performance that company has. Job position is open for St.Petersburg office. A high level of English is required.

Candidate must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. Candidate must have a proven ability to drive business results with data-based insights. Candidate must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities for Data Scientist

Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop company A/B testing framework and test model quality.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.
Strong statistical and mathematical abilities and interest in finance
Expertise in statistical modeling and machine learning
Quick learner with a can-do attitude

Qualifications for Data Scientist

Strong problem solving skills with an emphasis on product development.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
We’re looking for someone with 3-7 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc will be good advantage.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

As a Data Scientist, you will

Develop new and innovative statistical and machine learning models to predict customer behaviors leveraging Lendio’s large and complex proprietary datasets.
Evaluate potential new data sources to enhance models and decision-making.
Conduct deep dives into the performance of loans to identify data-driven opportunities to improve risk assessment.
Develop and present new strategy recommendations directly to the executive team.

Experience and Qualification

Self-starter with a proven track record of delivering high-quality analysis and models
Master’s degree in a quantitative field (statistics, math, science, engineering, economics)
Proficient in R and/or Python
Experience with object-oriented programming a plus
Excellent verbal and written communication skills, in particular, communication of technical/quantitative concepts
Energized by an entrepreneurial environment and eager to contribute beyond your role

Benefits