Data Scientist, Senior

Chopine Analytic Solutions; Springfield (VA); Hybrid; 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 match

Tuition assistance

Flexible work schedule

Referral bonuses

Job summary

Chopine Analytic Solutions in Springfield, VA is seeking a Senior Data Scientist to lead intelligence-oriented data analyses. You will operate independently, design scalable data processes, and translate discoveries into actionable insights for daily operations.

The role requires TS/SCI clearance and a strong background in handling large datasets, with proficiency in Python and experience with IC data repositories. On-site work, competitive benefits, and a fast-paced environment await.

Qualifications

• Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
• Background with intelligence experience, providing analysis and/or data science to support 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 and complex datasets to identify trends, insights, and discoveries.
• Script at a senior level in Python.

Responsibilities

• Analyze large data sets to identify analytical discoveries.
• Design and implement scalable data processes to reveal trends and insights.
• Create visualizations that can be integrated into daily operations.
• Manage multiple projects and solutions in a high tempo environment.
• Familiarity with IC data repositories.

Skills

Python

Data analysis

Large data sets

Independent work

Senior level

Tools

JEMA

Brewlytics

ArcModel Builder

Job description

Job Name:Data Scientist
Level: Senior
Location: Springfield, VA (NCE)
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 sciencedirectly supporting an intelligence mission.
• Be able tooperate 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 implementingscalable processes for large and complex datasetsto identify trends, insights, and analytical discoveries.
• Be able toscript 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 Solutionsis 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.