The Data Scientist will work with stakeholders to leverage data, develop custom models, analyze data performance, and guide architectural improvements.
At Simple Technology Solutions, our people are our priority. We know our team members are more than employees—they’re parents, friends, volunteers, artists, and athletes. That’s 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 isn’t a perk—it’s 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 Scientist to 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:
Required
- 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.
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.
---
Applicants may request removal from our applicant database, or specific information about how the data is used by contacting [email protected].
Top Skills
Databricks
Hadoop
Hive
Map
Python
R
Reduce
Spark
SQL
Similar Jobs
AdTech • Cloud • Digital Media • Marketing Tech • Analytics • Consulting
Join our team as a Data Scientist 1, focusing on data engineering, machine learning, and client collaboration to solve data challenges.
Top Skills:
AWSAzureGoogle BigqueryGoogle Cloud PlatformJavaScriptMachine Learning FrameworkPythonSQL
Artificial Intelligence • eCommerce • Information Technology • Internet of Things • Automation
As a Jr Marketing Data Scientist, you'll support marketing analytics, develop predictive models, apply statistical methods, and automate insights using Python and machine learning techniques.
Top Skills:
Generative Ai ToolsMatplotlibNumpyPandasPythonScikit-LearnSQL
Software • Analytics • Hospitality
As an R&D Intern, you'll work on developing solutions in revenue science, focusing on data preparation, analysis, and solution design, while collaborating with experts in machine learning.
Top Skills:
DashLangchainLanggraphPandasPlotlyPythonRestful ApisSASSQLStreamlit
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
