Sr. Data Scientist

Themis Insight solves difficult business, IT, and analytic problems by addressing the whole problem – not just the symptoms – using interdisciplinary approaches that are both practical and innovative. We provide fresh alternatives to ordinary, mainstream consulting firms through small, highly skilled, and hand‑picked teams that can meet clients' needs in any industry. Our broad interdisciplinary understanding allows us to provide the right solution, even if it is from outside the industry or traditionally defined problem space.

We bring Public and Private, Civilian and Military expertise to every case.

We are hiring a Sr. Data Scientist to work in Linthicum Heights, MD
. Position location is subject to change based on central MD client's needs.

Required: TS/SCI with a Polygraph

As part of the Secure the Enterprise initiative, develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire life cycle of a project.

• Leverage Python as a primary language to process data to accurately determine if resources and systems are secure.
• Look for outliers to help track the progress of systems through the Risk Management Framework lifecycle.
• Identify which System a Resource belongs to determined by various attributes of the identified lost Resource against known possible System information.
• Design, develop, and maintain ETL pipelines to extract security and compliance data from multiple sources (network sensors, security tools, compliance databases), transform the data for analysis and reporting, and load it into target data repositories to support continuous monitoring and automated assessments.
• Support data engineering operations including data quality validation, pipeline monitoring, and optimization of data workflows to ensure reliable, scalable, and timely delivery of security-related data for Risk Management Framework automation and decision‑making.

• Bachelor's and Master's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, or computer science). Ten years of experience analyzing datasets and developing analytics, and ten years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree.
  
  A PhD from an accredited college or university in a quantitative discipline can be substituted for four years of experience.
• Background in statistical analysis.
• Experience with building, tuning, and testing predictive models.
• Experience creating analytic charts and dashboards.

• Elasticsearch
• Reg Ex
• Machine learning
• Natural Language Processing
• Regression and predictive analysis
• Python
• MATLAB or R
• SQL or MongoDB
• Metric Database (Grafana/Graphite/InfluxDB)

• Competitive health, dental, and vision plans with 100% paid premiums.
• 401(k):
  We contribute 6% even if you don't!
• Time Off: 11 standard holidays, and 25 days of PTO.
• Career Development:
  Get career counseling and individualized career development plans, including education and training.
• Employee referral bonuses for successful hires.

Themis Insight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.