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Data Scientist

Company:
Zealogics
Location:
Jersey City, NJ
Posted:
May 16, 2024
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Description:

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.

Rate range - $55-$60

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