Data Scientist 2 - Python/R/TensorFlow/SQL/Tableau

• *Build to something to be proud of.**

Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country.

• *Description**

Captivation Software is looking for a mid level Data Scientist who will be supporting the Model Management team.

• *Requirements**

Security Clearance

• Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen

Minimum Qualifications

• Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
• Five (5) years of experience analyzing datasets and developing analytics
• Five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB
• An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree
• A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience.

Required Skills

• 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 NumPy 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 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.
• This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms.*
• *Benefits**
• Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience)
• Up to 20% 401k contribution (No Matching Required and Vested from Day 1)
• Above Market Hourly Rates
• $3,600 HSA Contribution
• 6 Weeks Paid Time Off
• Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D