Data Scientist
1 week ago
We are seeking an experienced **Data Scientist** to join our vibrant team.
An individual intellectually curious and excited by the opportunity to grow together with the company, who possesses a mix of operational prowess to tackle challenges, hustle to open doors, negotiation and collaboration skills needed to bring out the best from the team, and innovation and creative thinking that’s required to develop outside the box solutions.
**Responsibilities and Duties**:
- Overall responsible for architectural design, development, and deployment of system
- Mine and analyze data from companydatabasesto drive optimizationand improvement ofproduct development, marketing techniques and businessstrategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Coordinatewithdifferentfunctionalteamstoimplementmodelsandmonitoroutcomes.
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Process, cleanse, and verify the integrity of data used for analysis
- Create automated anomaly detection systems and constant tracking of its performance
- Formulate and lead guided, multifaceted analytic studies against large volumes of data.
- Interpret and analyzes data using exploratory mathematic and statistical techniques based on the scientific method
- Coordinate with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts
- Develop methodology and processes for prioritization and scheduling of projects
- Define company data assets (data models), spark, sparkSQL, and hiveSQL jobsto populate data models
Experience Required
- Strong problem-solving skills with an emphasison product development.
- Experience using statisticalcomputer languages (R, Python, SLQ, etc.)to manipulate data and draw insights from large data sets.
- Coding knowledge and experience with several languages: C, C++, Java, JavaScrip
- 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 creating and using advanced machine learning algorithms and statistics: regression, simulation, scenarioanalysis,modeling,clustering,decisiontrees,neuralnetworks,etc
- Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, CrimsonHexagon,FacebookInsights,etc
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