Data Scientist - Keylent (Bronx)

  • Bronx, NY

Compensation

: $94,330.00 - $148,460.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



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Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Tax Terms: W2, 1099
Corp-Corp or 3rd Parties: Yes

Technical/Functional Skills
experience with NLP
experience with time series analysis
experience with Client
experience modeling predictive analytics
experience feature engineering , EDA and data munging
4+ years of Python and or R(both ideal) + SQL

Roles & Responsibilities
Serves as a liaison with the internal stakeholders as well as with external business groups and vendors engaging in the identification, development, and testing of new business capability enhancements as they relate to enterprise data systems
Analyzes business requirement, and translate them to functional data requirements
Develops and implements computer algorithms to identify patterns and \"hidden\" opportunities in how data is used
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company's data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
Works with team leaders and members to solve client analytics problems and documents results and methodologies.
Assesses the volume of data supporting the initiative, the type of data (e.g., images, text, clickstream or metering data) and the speed or sudden variations in data collection
Provides business metrics for the overall project to show improvements (contribution to the improvement should be monitored initially and over multiple iterations).
Works in iterative processes within IT and validates findings.
Performs experimental design approaches to validate finding or test hypotheses.
Validates analysis by comparing appropriate samples.
Employs the appropriate algorithm to Client patterns.
Other duties as assigned

Associated topics: data engineer, data integration, data integrity, data manager, data quality, data warehousing, database, etl, sybase, teradata

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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