Senior Data Scientist in Washington

Energy Jobline
Washington, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Washington, United States of America

Tech stack

C
Java
JavaScript
A/B testing
Google AdWords
Amazon Web Services (AWS)
Data analysis
Systems Engineering
Artificial Neural Networks
Big Data
C++
Catalyst
Decision Tree Learning
Cluster Analysis
Computer Security
Computer Programming
Data Architecture
Data Files
Data Mining
Data Presentation
Distributed Data Store
Generalized Linear Model
Google Analytics
Hadoop
MapReduce
Hive
Intelligence Analysis
Python
Machine Learning
MySQL
Digitalocean
Software Engineering
Text Mining
Web Services
Data Processing
Facebook Insights
Random Forest
Spark
Deep Learning
Social Network Analysis
Sap Business Objects
Information Technology
Data Analytics
Coremetrics (Software)
Redshift

Job description

Corvus Consulting, LLC has an opening for a mid-level Data Scientist to join our team supporting mission-focused programs in the Capital Region (NCR). In this role, you will partner with cross-functional stakeholders-including product, sales, leadership, and marketing teams-to deliver actionable insights derived from company and program data. The ideal candidate is highly skilled at working with large, complex datasets to identify opportunities for product and process optimization and applying statistical and machine learning models to evaluate the effectiveness of different courses of action.

This position requires strong experience using a variety of data mining and analytical methods, leveraging multiple data tools and platforms, and developing, testing, and implementing predictive models, algorithms, and simulations to support decision-making. The Data Scientist will be responsible for translating business and operational needs into analytical approaches, developing measurable frameworks to evaluate outcomes, and clearly communicating findings to both technical and non-technical audiences. Successful candidates will demonstrate a proven ability to drive meaningful business results through data-driven recommendations and will bring curiosity, initiative, and a passion for uncovering solutions hidden in large data sets.

This position is expected to be located in the NCR area and is contingent upon contract award and funding, including final salary and compensation.

RESPONSIBILITIES

  • 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 , ad targeting and other business outcomes.

  • Develop company A/B 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., Reasonable accommodation that do not cause an undue hardship on the company may be made to enable individuals with disabilities to perform essential functions, as long as that would not hinder or prevent performance of duties or be of a safety concern.

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is required to reach with hands and arms. The employee is frequently required to sit, stand and walk. The employee may be required to move ten pounds and could occasionally lift or move up to twenty-five pounds.

Disclaimer: The listed duties are not intended to serve as a comprehensive list of all duties performed by all employees in this classification, only a representative summary of primary duties and responsibilities.

Company DescriptionCastellum is composed of three subsidiaries Corvus Consulting, Specialty Systems, and GTMR. We are a technology company focused on leveraging the power of information technology to help solve our Nation's most pressing security challenges. We provide US government and commercial clients with Cybersecurity, Software Development, Systems Engineering, Information / Electronic Warfare, Program Support, and Data Analytics services. We also offer subject matter expertise in artificial intelligence / machine learning, 5G technologies, model-based systems engineering, program management, information assurance, intelligence analysis, and CMMC compliance.Company DescriptionCastellum is composed of three subsidiaries Corvus Consulting, Specialty Systems, and GTMR. We are a technology company focused on leveraging the power of information technology to help solve our Nation's most pressing security challenges. We provide US government and commercial clients with Cybersecurity, Software Development, Systems Engineering, Information / Electronic Warfare, Program Support, and Data Analytics services. We also offer subject matter expertise in artificial intelligence / machine learning, 5G technologies, model-based systems engineering, program management, information assurance, intelligence analysis, and CMMC compliance.

Requirements

  • Strong problem-solving skills with an emphasis on product development.

  • Experience using statistical computer (R, Python, SLQ, etc.) 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 (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

  • Excellent written and verbal communication skills for coordinating across teams.

  • Coding knowledge and experience with several : C, C++, Java, JavaScript, etc.

  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

  • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.

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

  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.

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

  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

QUALIFICATIONS:

Minimum Qualifications include:

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

  • Master's or PHD in Statistics, Mathematics, Computer Science, or another quantitative field.

  • TS/SCI Level Security Clearance

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