Data Scientist

Job Details

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 querying Relational / No-SQL databases and using statistical programming languages like R, Python, etc.