Senior Data Scientist

Washington, AR - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

At Simple Technology Solutions our people are our priority. We know our team members are more than employeestheyre parents friends volunteers artists and athletes. Thats why we offer flexibility to help them thrive personally and professionally while delivering exceptional solutions to our Federal Government clients.

Our culture is built on collaboration continuous learning and excellence. We are mentors and thought leaders who share knowledge and foster growth. Recognized as a Best Place to Work we believe a range of perspectives helps us drive innovation and exceed customer expectations. At STS taking care of our people isnt a perkits the standard.

As an 8(a) HUBZone company we also offer special incentives for team members living in qualified HUBZones. Check out the HUBZone map HERE to see if you qualify!

Simple Technology Solutions is looking for a Data Scientistto add to our team.

Quick Position Overview:

US Citizenship is required
B.S Degree in Computer Science or related field
Minimum of 6 years position-related experience is required
Databricks Certification and experience preferred

The Role:

The Data Scientist in this role will collaborate with stakeholders to identify opportunities for leveraging data to drive solutions. The Data Scientist will also work across the organization to support multiple programs. Will be responsible for input involving architectural guidance across multiple platforms.

The Data Scientist at STS will:

Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive solutions
Mine and analyze data from databases to drive optimization and improvement
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 and other business outcomes
Develop testing framework and test model quality
Coordinate with different functional teams to implement models and monitor outcomes
Develop processes and tools to monitor and analyze model performance and data accuracy
Suggest technical and architectural guidance to projects and teams ensuring that new initiatives enable effective data reporting
Ensure effective communication of user requirements
Build data structures to support requirements
Superb organizational skills. Must be motivated to learn and flexible to change

Education and Experience:

B.S Degree from an accredited college or university with a major in Statistics Mathematics Computer Science or another quantitative field
At least six (6) of experience manipulating data sets and building statistical models
Knowledge and experience in statistical and data mining techniques: GLM/Regression Random Forest Boosting Trees text mining social network analysis
Experience querying databases and using statistical computer languages: R Python SLQ
Experience creating and using advanced machine learning algorithms and statistics: regression simulation scenario analysis modeling clustering decision trees neural networks
Experience analyzing data from 3rd party providers: Google Analytics Site Catalyst Coremetrics Adwords Crimson Hexagon Facebook Insights
Experience with distributed data/computing tools: Map/Reduce Hadoop Hive Spark Databricks
Must be able to work the hours of 8am-5pm Eastern Time regardless of your home location

Required Certifications

None

Preferred Certifications

Databricks

STS is committed to equal employment opportunity. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination harassment and retaliation of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation marital status family responsibilities matriculation personal appearance political affiliation gender identity or expression or any other characteristic protected by federal state or local laws.

This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.

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Required Experience:

Senior IC