Data Scientist

Mesavita Engineering is an agile and innovative small business providing technical expertise to the U.S. Intelligence community. When you look closer though, you’ll find something truly special. We’re a close knit team who takes pride in the work we do for our country and are building this company together to be part of something bigger and better than ourselves. This inclusive culture thrives at Mesavita, where you’ll find humble leaders, compassionate peers, and a relaxed atmosphere that encourages everyone to be their best while having a lot of fun along the way.

In this role you will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers;

partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.

• Programming
  
  Languages:
  
  Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like Num Py and pandas), while R is preferred for statistical analysis and data visualization.
• Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential.
• Machine Learning:
  Knowledge of machine learning algorithms and frameworks (such as Tensor Flow and Scikit-Learn) is vital for building predictive models and automating decision-making processes.
• Data Wrangling:
  The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis.
• Database Management:
  Familiarity with SQL and database management systems (like Postgre
  
  SQL and Mongo
  
  DB) is essential for extracting and manipulating data stored in relational databases.
• Data Visualization:
  Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders.

Clearance: TS/SCI w/FSP

7+ years of experience

In addition to a competitive salary, Mesavita offers a comprehensive benefits package, which includes:

12% 401(k) contribution (not a match), which you are vested in immediately

Free medical benefits through Care First for you and your family

Vision and Dental Insurance

STD, LTD, Life coverage 100% paid for by Mesavita

$5,000 Education, Training, and Technology budget

Lucrative Referral Bonus Program