Data Scientist
Data
Data Scientist
Warszawa
Type of work
Undetermined
Experience
Senior
Employment Type
Permanent
Operating mode
Office
Tech stack
Python
SQL
Job description
Online interview
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
- Be part of a high performing, collaborative team and have fun at work each day
- Competitive pay
- A full suite of traditional benefits
- Opportunity to work in the financial/trading industry
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