Data Scientist, Senior

Chopine Analytic Solutions LLC; St. Louis (MO); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

PTO 4 weeks

11 holidays

Life & disability insurance

Health, dental & vision

401(k) with 6% match

Tuition assistance

Flexible schedules

Referral bonuses

Job summary

Chopine Analytic Solutions LLC seeks a Senior Data Scientist in St. Louis, MO to advance intelligence data analysis. The role requires TS/SCI clearance and the ability to obtain CI/Poly, operate independently, and manage multiple projects in a high tempo environment.

You will design scalable data processes, develop Python-based analytics, and translate discoveries into daily operational visualizations. The position includes full-time benefits and a compensation range of $120,000 to $150,000,

Qualifications

• Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
• Background in intelligence with analysis and/or data science supporting an intelligence mission.
• Operate at a senior level and in an independent environment.
• Create processes around large data sets to identify analytical discoveries.
• Design and implement scalable processes for large/complex datasets to identify trends, insights, and discoveries.
• Script at a Senior Level in Python.
• Provide discoveries through visualizations integrated into daily operations.
• Operate in a high tempo environment managing multiple projects simultaneously.
• Familiarity with IC data repositories.

Skills

Senior-level independence

Python scripting

Data analysis

Data visualization

IC data repositories familiarity

Tools

JEMA

Brewlytics

ArcModel Builder

Job description

Job Name: Data Scientist

Level: Senior

Location: St. Louis, MO (N2W)

Remote Work: No

Required Clearance: TS/SCI

Position Type: Immediately Available

Shift: Shift 1

Office Supported: Analysis Office

REQUIRED QUALIFICATIONS

• Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
• Have a background with intelligence experience, where they provided analysis and/or data science directly supporting an intelligence mission.
• Be able to operate at a senior level and in an independent environment.
• Be proficient at creating processes around large data sets to identify analytical discoveries.
• Demonstrated proficiency in designing and implementing scalable processes for large and complex datasets to identify trends, insights, and analytical discoveries.
• Be able to script at a Senior Level in python. (Other languages, low/code-no/code programs (JEMA, Brewlytics, ArcModel Builder), etc. are great but they must have Python.)
• Be able to take these discoveries and provide them through visualizations that are easily integrated into daily operations.
• Be able to operate in high tempo environment and be able to develop and manage multiple projects and solutions at one time in various stages of implementation.
• Familiarity with common Intelligence Community (IC) data repositories.

COMPENSATION

CAS offers a generous benefits package for full time employees, including: 4 weeks PTO accrual for new employees with increases at milestone anniversaries, 11 paid holidays, employer-paid life and disability insurance, family health, dental and vision benefits, TRICARE Supplemental insurance, 401(k) with up to 6% employer match, generous tuition assistance for higher education or career related certifications, flexible work schedules, and opportunities for referral bonuses.

Base salaries at CAS are determined by various factors, including work location, an individual’s education, knowledge, skills, experience, as well as contract-specific affordability and organizational requirements. The projected salary range for this position is $120,000 to $150,000. The estimate displayed represents the typical salary range for this position and is just one component of CAS's total compensation package.

Chopine Analytic Solutions is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, any other non-merit factor, or any other characteristic protected by law.