Data Scientist in Annapolis Junction
Role details
Job location
Tech stack
Job description
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 : Proficiency in programming such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is 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 TensorFlow 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 PostgreSQL and MongoDB) 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.
Requirements
Clearance: TS/SCI w/FSP
7+ years of experience
Benefits & conditions
Benefits and Compensation Package
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 CareFirst 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
5 days Paid Parental Leave
Lucrative Referral Bonus Program