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Title

Senior Data Scientist  

About the Organization VSolvit (pronounced: "We.Solve.it") is an award-winning SBA certified 8(a)/Small Disadvantaged Business and 8(m)/Economically Disadvantaged Woman owned, technology services provider that specializes in business intelligence (BI) systems, data warehousing, geographic information systems (GIS), custom application development, health analytics, project/program management, and hosting and cloud services. VSolvit serves clients such as the Department of Defense (DOD), the U.S. Department of Agriculture (USDA), the Department of Housing and Urban Development (HUD), and the Bill & Melinda Gates Foundation. Our custom technology solutions for federal and health industry clients and partners have won awards for innovation, been launched from the U.S. White House, and are being used to solve complex problems ranging from improving national security to optimizing vaccine supply chains and breast cancer screening and treatment programs.





These successes are but a reflection of overall team strength and supportive partnerships. Our company fosters innovation which makes it a great place for entrepreneurs and hard workers to be grown. We offer Medical, Dental, and Vision Insurance, as well as 401K Retirement Plan options, Profit Sharing, Tuition Reimbursement, and other benefits for our full time employees. Our goal is to grow together and enjoy the work that we do as a team.





 
Description

VSolvit is looking for a broadly-talented Data Scientist with quantitative research skills to take an active role on our data analytics team. You will work on vast amounts of DEA data to discover hidden information by applying modern statistical and MLAI techniques. The main scripting languages used on this program are Python and some “R”. The databases are MS SQL Server and Elastic Search is used again the data warehouses with Kibana, Tableau or other BI and Visualization tools. This is a mature team that is high profile and charged with delivering solutions in Data Sciences enabling maximum leverage of the DEA master data.

Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with DEA programs and DEA data (e.g. structured, unstructured, and mixed datasets). You will also design and develop automatic scoring using machine learning techniques, build recommendation systems, and design and develop classifiers for feature extraction. This program is one in which pushing boundaries and innovation within the scope of the program is valued. There is a fully supported effort to develop and further ML/AI in the quest for “making the data dance”. The Data Sciences group provides innovative algorithm development using various techniques to achieve desired insight or open eyes to new revealing results and possibilities. In addition to technical knowledge the team values the ability to collaborate and communicate with one another to ensure a highly productive, respectful, and harmonious work setting be it virtual or mixed of onsite and remote.

At the present time, this role is remote however post covid-19 pandemic work is being done to possibly have a mixed remote and onside model. Not confirmed but being worked and planned at this time with an eye also on the current global health situation.

 

TYPICAL RESPONSIBILITIES INCLUDE:

 

  • Work with large DEA data using descriptive statistics and data visualization tools
  • Create insights from existing DEA data, and drive the collection of new data and ways to address new data
  • Selecting features, building, and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the art methods
  • Collaborate with clients and team members to understand and communicate results, and to put insights into operation
  • Enhancing data collection procedures to include information that is relevant for building analytical systems
  • Doing ad-hoc analysis and presenting results in a clear manner
  • Creating automated anomaly detection systems and constant tracking of performance
  • Work with other team members such as those focused on Data warehousing, Tools development, software development, DevOps, systems analysts etc…
  • Design accurate and scalable prediction algorithms
  • Collaborate with engineering team to bring analytical prototypes to production
  • Generate actionable insights for business improvements
 
Position Requirements

 

 

BASIC QUALIFICATIONS

  • Bachelor’s degree in a quantitative social science or a STEM field
  • 5+ years’ of professional experience in data science and analysis
  • 5+ years’ Python, “R” or other scripting languages
  • 5+ years’ database experience
  • ML concepts - Decision Trees and Random Forest

 

 

PREFERRED QUALIFICATIONS (but not required

  • Graduate degree in a quantitative social science or a STEM field highly desired
  • 10+ years’ of professional experience in data science and analysis
  • 10+ years’ Python, “R” or other scripting languages
  • 5+ years’ database experience
  • Experience or knowledge of ELK may be helpful
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naïve Bayes, SVM, Decision Forests, etc.
  • Experience with data modeling programming and software development, including Python, R, or other high-level language used in statistical computing
  • Proficiency in using data query languages such as SQL, Hive, Pig, Pandas, MongoDB
  • Proficiency in big data modeling work: Hadoop, Pig, Scala, Spark
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Substantial experience with statistics and the scientific method, and the ability to perform self-directed hypothesis-driven research
  • Ability to present to, communicate with, and collaborate well with non-technical people
  • Great communication skills
  • Dedication to continued learning, be team dedicated, self-driven, quality minded and customer-friendly

 

 

Additional:

U.S. Citizenship

Secret Clearance REQUIRED

Must be able to pass a DEA “Seatability” review

 

Company Summary:

Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') provides geospatial and information technology consulting services and solutions to government and private section clients. VSolvit is an award winning 8(m)/EDWOSB and SBA-certified 8(a)/SDB company. We offer Medical, Dental, and Vision Insurance, as well as 401K Retirement Plan options, Tuition Reimbursement, and other benefits. Our goal is to grow together and enjoy the work that we do as a team.

 

 

VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.

 
EOE Statement We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.  
Category Software/Application Development  
Location Merrifield  
Full-Time/Part-Time Full-Time  
Exempt/Non-Exempt Exempt  
Clearances Required Secret clearance  
Travel No  
Req Number SOF-21-00027  
Position Senior Data Scientist (DEA Vortex)  
Number of Openings 1  
Proposal Position No  
Proposal Letter Of Intent (LOI) No  
Open Date 7/30/2021  
Tags ML, AI concepts - Decision Trees and Random Forest, Secret clearance, Python, database, team, closure Scala etc...  

This position is currently accepting applications.

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