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Role: Lead Data Scientist III Company: Arch Systems Client: Federal Location: Remote Type: Full-time

Position Overview:

We are seeking an experienced Data Scientist who will not only perform the typical data analysis tasks but also contribute to more advanced analyses such as predictive modeling, quasi-causal analyses, qualitative analyses, and applying advanced machine learning methods.

The ideal candidate will also be able to build and deliver data capacity content for internal non-technical audiences, offering both 1:1 mentorship and formal training sessions.

You will be responsible for guiding non-technical teams on advanced data topics, including data strategy, emerging data methods and technologies, and privacy management.

This role requires fluency in SQL and at least one programming language (R or Python).

Responsibilities:

Conduct advanced data analyses, including predictive models, quasi-causal analyses, and qualitative analyses.

Develop and deliver data capacity-building content tailored to non-technical audiences, including 1:1 mentorship, formal trainings, and written resources.

Advise non-technical teams on data strategies, applications of emerging data methods and technologies, and privacy management.

Perform advanced machine learning tasks and leverage the latest techniques to solve complex data problems.

Support the creation and maintenance of data strategy to meet evolving business needs.

Work independently and manage projects with multiple stakeholders, ensuring timely and accurate delivery of high-quality data-driven insights.

General Experience:

Multiple years of data science experience in industry settings, with a strong ability to apply advanced methods to real-world challenges.

Proven track record of working independently and overseeing projects with multiple stakeholders, ensuring the alignment of goals and successful execution.

Technical Skills:

Proficiency in SQL for data extraction, manipulation, and analysis.

Advanced proficiency in at least one programming language (R or Python) for statistical analysis and machine learning applications.

Strong understanding of emerging data science methods and their applications in business.