Data Scientist

About the job
Responsibilities:

Work with stakeholders, identifying opportunities for leveraging data to solve for business challenges
Identify valuable data sources / data sets that can be leveraged to improve results
Analyze data to interpret against business opportunity and discover trends and patterns
Process, cleanse, and verify the integrity of structured / unstructured data used for analysis
Research and implement custom statistical models and machine learning algorithms
Execute analytical experiments methodically to evolve an idea into successful solution
Coordinate with engineering and software development team to integrate model into continuous business / process / software cycle
Present information using data visualization techniques
Communicate results and ideas to key stakeholders / decision makers

Qualifications:

Masters Degree in Computer Science, Statistics, Applied Math or relevant field
7+ years' practical experience as a Data Scientist with proven track record
Strong math skills (e.g. statistics, algebra, multi-variable calculus)
Expertise with R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Extensive background in data mining and statistical analysis
Deep understanding of real-life applicability and limitations of machine-learning algorithms
Problem-solving aptitude
Analytical mind and business acumen
Excellent communication and presentation skills

Skills and Experience:

Experience with B2B, Financial Industry, Asset Management, Sales & Marketing is highly desired
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
Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc
Expertise in querying Relational / No-SQL databases and using statistical programming languages like R, Python, etc