WiredPeople is looking for a senior-level Data Scientist who can operate independently to drive advanced statistical modeling, complex analytics, and research initiatives. The ideal candidate brings a unique blend of deep technical expertise, strategic consulting experience, and a proven track record of working directly with external clients, particularly government stakeholders.

In this role, you will provide analytical leadership, define technical approaches, and translate highly complex data into actionable insights for non-technical audiences. Experience working with healthcare, public health, research, or government-related data projects is highly desirable. We are currently seeking a highly skilled Senior Data Scientist Contractor (1099) to join our network and support complex analytics and research projects for our clients. 

Key Responsibilities

• Analytical Leadership: Independently define analytical approaches, design research methodologies, and provide strategic recommendations to stakeholders.

• Advanced Statistical Modeling: Develop, validate, and productionize machine learning models, utilizing techniques such as predictive modeling, Random Forest, Bayesian hierarchical modeling, and geospatial analysis.

• Client Consulting: Work directly with external clients and government stakeholders to understand project needs, manage expectations, and deliver high-quality data science solutions.

• Data Translation: Effectively present complex technical findings, methodologies, and actionable insights to non-technical stakeholders and decision-makers.

• Data Management & Pipeline Development: Oversee ETL/ELT pipeline development, ensuring robust data governance, access controls, and secure handling of sensitive health and regulated datasets.

• Technical Execution: Utilize an advanced technology stack, including Azure Databricks, R, and SQL, to build and deploy scalable data science solutions.

Must-Have Qualifications

• Cloud & Architecture: Intermediate to Advanced experience in Microsoft Azure, specifically Azure Databricks.

• Programming: Advanced proficiency in R and strong SQL and database management experience.

• Machine Learning: Proven experience with ML techniques, including predictive modeling and Random Forest.

• Data Security & Ethics: Experience handling sensitive health, research, or highly regulated datasets. Must hold a current CITI Certification (or have the ability to quickly obtain one).

• Development Tools: Advanced R Shiny experience and familiarity with GitHub and CI/CD pipelines (highly preferred).

Preferred Senior-Level Experience

• Education: PhD or extensive applied Data Science experience in a related field.

• Advanced Modeling: Deep expertise in Bayesian hierarchical modeling, spatial/geospatial modeling, model validation, and advanced statistical analysis.

• Industry Experience: Prior consulting experience with external clients, particularly supporting government or public-sector clients.

Technical Environment Candidates with hands-on experience in the following technical areas will stand out:

• Cloud Platform: Azure Databricks

• Data Warehousing: Snowflake, PostgreSQL, or similar data warehouse environments

• Data Engineering: ETL/ELT pipeline development

• Databases: Relational and NoSQL databases

• Data Management: Data governance and strict access controls

• MLOps: Productionizing and deploying machine learning models

Additional Information

• Job Type: Contract (1099)

• Industry Focus: Healthcare, Public Health, Government Services

WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.