Zealogics Inc
Data Scientist
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New Jersey, United States
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Mid-Senior level
Responsibilities:
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- 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
- 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
- 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
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