Data Scientist 3 - MLOps

Job Description

Job Description

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 senior level Data Scientist who has a significant MLOps and data science background.

 

Responsibilities

• Produce data visualizations that provide insight into dataset structure and meaning
• Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)
• Incorporate SME input into feature vectors suitable for analytic development and testing
• Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes
• Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
• Develop statistical tests to make data-driven recommendations and decisions
• Develop experiments to collect data or models to simulate data when required data are unavailable
• Develop feature vectors for input into machine learning algorithms
• Identify the most appropriate algorithm for a given dataset and tune input and model parameters
• Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)
• Oversee the development of individual analytic efforts and guide team in analytic development process
• Guide analytic development toward solutions that can scale to large datasets
• Partner with software engineers and cloud developers to develop production analytics
• Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation
• Lead a team of data scientists in the development of multiple analytic efforts
• Work with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements
• Guide the transition of prototyped analytics to production system
• Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions
• Delegate analysis responsibilities to one or more team members and monitor performance

 

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:

• A minimum of ten (10) years of experience in two (2) or more of the following
  • Designing/Implementing machine learning
  • Data mining
  • Advanced analytical algorithms
  • Advanced statistical analysis
  • Artificial intelligence
  • Software engineering with data analysis software such as R, Python, SAS, or MATLAB. 
• 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)
• 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 Master's Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required
• A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.

 

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