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Full-time Data Science

at joseph_edla in Indiana

Job Title:                   Data Science
Location:                  Columbus, IN
Duration:                  12+Months
Interview Type:         Skype

Job Description:

Work with stakeholders throughout the organization to identify
opportunities for leveraging company data to drive business solutions.

Mine and analyze data from company databases to drive optimization and
improvement of product development, marketing techniques and 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.

Coordinate with different functional teams to implement models and monitor
outcomes.

Develop processes and tools to monitor and analyze model performance and
data accuracy.

5-7 years of experience manipulating data sets and building statistical
models

Master?s or above on Statistics, Mathematics, Computer Science or another
quantitative field

Experience querying databases and using statistical computer languages: R,
Python, SQL, etc.

Experience using statistical computer languages (R, Python, SQL, etc.) to
manipulate data and draw insights from large data sets.

Experience creating and using advanced machine learning algorithms and
statistics: regression, simulation, scenario analysis, modeling, clustering,
decision trees, neural networks, etc.

Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive,
Spark, MySQL, etc. 

Experience with supervised and unsupervised machine learning algorithms for
regression, classification, and clustering

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, NLP/text mining, etc.

Experience using AWS services: Redshift, S3, Spark, SageMaker, etc.

Coding knowledge and experience with several languages: C, C++, Java, Scala
Bonus Skills and Experience:

Experience working with and creating data architectures.

Packaging of analytics for deployment on a cloud service in a scalable
manner

Experience using Azure services: Azure SQL Datawarehouse, azure Data Lake,
Azure ML, etc.

Reference : Data Science jobs


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Published at 03-05-2019
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