Senior Data Scientist

🕒 September 22

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $140k - $170k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TeamWorx Security

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎖️ Defense

🔒 Cybersecurity

☁️ SaaS

💰 $500k Venture Round - TeamWorx Security on 2025-06

Defense • Cybersecurity • SaaS

TeamWorx Security is a dual-use AI-driven cyber defense company that provides a secure information-sharing platform (Hive-IQ) and collaborative intelligence community for cybersecurity professionals. The company combines AI-generated insights with human analysis to enable collective defense across industries, offering SaaS cloud instances, enterprise editions, managed support, training, and expert services including risk assessments, software and data engineering, identity and access management, and AI integration. TeamWorx focuses on operationalizing cybersecurity programs, integrating AI/LLMs safely, and delivering managed and professional services to help organizations strengthen governance, detection, and response capabilities.

📋 Description

• Translate mission and business questions into analytical approaches with government stakeholders and subject matter experts • Perform exploratory and statistical analysis, predictive modeling, forecasting, scenario analysis, and feature engineering using governed enterprise data • Develop, validate, and maintain models and AI-enabled analytical capabilities • Document assumptions, definitions, and data lineage • Establish whether outputs are accurate, explainable, and fit for the supported decision • Build analytical datasets using Databricks, BigQuery, Python, and SQL • Work with the data engineering team where production pipelines are required • Take ownership of existing analytical products, reports, and stakeholder relationships • Sustain and improve existing capabilities while building new ones • Deliver visualizations, dashboards, models, and written analysis for technical and non-technical audiences • Present findings to stakeholders and leadership

🎯 Requirements

• Bachelor's degree with 12 years of relevant experience, or a Master's degree with 10 years, in data science, statistics, mathematics, economics, operations research, computer science, engineering, or a related quantitative field • Demonstrated experience developing, validating, and documenting analytical models that informed real operational or business decisions • Strong applied statistics and machine learning fundamentals, including judgment about which method fits the problem • Proficiency in Python and SQL for analysis, modeling, and working with data at scale • Experience evaluating model performance and communicating uncertainty, limitations, and assumptions honestly to non-technical stakeholders • Hands-on experience working in Databricks as a practitioner: notebooks, SQL and PySpark for analysis, model development and tracking, AI features, or dashboards • U.S. citizenship is required • Must be eligible to obtain and maintain federal suitability, a government-issued PIV credential, and required system access • Prior experience supporting GSA, ideally within the Public Buildings Service, including an understanding of how PBS is organized, how its business lines operate, and where its data lives • Experience with Google Cloud Platform and BigQuery, along with familiarity with data governance and production support • Experience as the senior analytical voice on a team, setting methods, reviewing others' analysis, and mentoring less experienced analysts

🏖️ Benefits

• Comprehensive Health, Dental, & Vision Insurance • Short-Term Disability & Life Insurance • Matching 401(k) Contributions • Paid Time Off including 11 Holidays and your Birthday • Professional Development • Fitness Membership • Home Office allocations • Performance Bonuses & Profit Sharing • Employee Referral Bonuses