Senior Data Scientist, Federal Analytics Lead

Socket.dev; Washington; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

401(k) with employer match

Gym membership reimbursement

Work from anywhere up to 2 weeks/year

Job summary

M+C Saatchi World Services seeks a strategic Senior Data Scientist to lead advanced analytics, performance measurement, and data-driven decision support across federal programs. You will shape how data informs strategy, planning, and optimization, guiding models and measurement frameworks for senior leadership decisions.

The candidate combines deep analytics with business acumen, engaging stakeholders and translating findings into strategic recommendations, while mentoring a team in a hybrid

Qualifications

• Experience building production data science solutions.
• Ability to translate data into strategic recommendations.
• Security and privacy considerations understood for government programs.

Responsibilities

• Lead analytics strategies supporting communications, outreach, and mission performance objectives.
• Define, measure, and evaluate KPIs, audience segments, and performance metrics.
• Develop predictive models, forecasting methods, anomaly detection, and advanced analytics frameworks.
• Lead trend analyses and root-cause investigations to drive continuous improvement.
• Design and maintain dashboards, visualizations, and executive analytics products.
• Translate complex data findings into actionable business recommendations for leadership.

Skills

Python

SQL

Machine learning

Data visualization

Stakeholder engagement

Cloud platforms

Education

Master's degree in Data Science or related field

Tools

Airflow

AWS SageMaker

LLM APIs

Job description

M+C Saatchi World Services seeks a strategic Senior Data Scientist to lead advanced analytics, performance measurement, and data-driven decision support across federal programs. You will shape how data informs strategy, planning, and optimization, guiding models and measurement frameworks for senior leadership decisions.

The candidate combines deep analytics with business acumen, engaging stakeholders and translating findings into strategic recommendations, while mentoring a team in a hybrid