+1 844 678 44 27

DATA SCIENCE ALGORITHMS - JOBS IN - 'IRVINE' - 'CALIFORNIA'

Company : Optghar
Req/job Title : Data Science Algorithms
Job Ref No : 3036
Post Date : 02/21/2018
Country : USA
Job State/Province : California
Job City : Irvine
PrimarySkill : IT
Experience :
OtherSkill :
Subject : Data Science Algorithms
Description :

Must Have Skills (Top 3 technical skills only) 
Work with stakeholders to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from company databases to drive optimization and improvement of business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy.

Detailed Job Description:
Python/R expertise with Data Science algorithms
Experience using statistical computer languages (R, Python.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques /algorithms(clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications

Minimum years of experience*:5+ Years

Top 3 responsibilities you would expect the Subcon to shoulder and execute*: 
1. Work with stakeholders to identify opportunities for leveraging company data to drive business solutions. Mine and analyze data from company databases to drive optimization and improvement of business strategies. 
2. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Develop custom data models and algorithms to apply to data sets. 
3. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.