Senior Data Scientist - Real-Time Dashboards & ETL Lead

Socket.dev; Fort Meade (MD); On-site; USD 190,000 - 215,000; Full time

Benefits offered by this job

Health insurance

Paid leave

Retirement benefits

Job summary

SMX seeks a Senior Data Scientist to mine PRESS knowledge management data, build real-time ACIC dashboards, and create automated ETL/ELT pipelines measuring DI analytics production and workforce resourcing. The role includes embedding at DIA HQ in Washington, D.C.

for 3–6 months, then main duty at ACIC in Fort Meade, MD with ongoing support. Required 5+ years in data science/analytics, TS/SCI clearance, and fluency with Python/R, SQL, and BI tools.

Qualifications

• Bachelor’s or Master’s degree in Data Science, CS, Information Systems, Business Analytics, or related field.
• 5+ years in Data Science, Analytics Engineering, or Enterprise Data Architecture roles.
• Proficiency in Python and/or R for data wrangling, modeling, ML, and NLP.
• Strong SQL for querying data from databases, data lakes, and metadata stores.
• Experience with BI platforms (Tableau, Power BI, or Qlik) and data governance concepts.

Responsibilities

• Mine and analyze PRESS knowledge management data and metadata stores to build real-time ACIC dashboards.
• Develop automated ETL/ELT pipelines to ingest, clean, and validate data from disparate production systems.
• Define KPIs with leadership and translate models into executive briefings and visual stories.
• Maintain data integrity, auditability, and governance across reporting pipelines.

Skills

Python

R

SQL

BI platforms

metadata management

APIs integration

Education

Bachelor’s or Master’s degree in Data Science or related quantitative field

Tools

Tableau

Power BI

Qlik

Jira

Git

ServiceNow

Job description

SMX seeks a Senior Data Scientist to mine PRESS knowledge management data, build real-time ACIC dashboards, and create automated ETL/ELT pipelines measuring DI analytics production and workforce resourcing. The role includes embedding at DIA HQ in Washington, D.C.

for 3–6 months, then main duty at ACIC in Fort Meade, MD with ongoing support. Required 5+ years in data science/analytics, TS/SCI clearance, and fluency with Python/R, SQL, and BI tools.