Biostatistician

Jobtailor; California (MO); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor seeks an experienced analytics leader to drive end-to-end data initiatives, building scalable data platforms and predictive models. You will architect data pipelines, unify diverse sources, and ensure data quality while delivering decision-support visuals in Power BI.

Ideal candidates have 5+ years in analytics, an advanced quantitative degree, and strong Python or R skills, plus experience with NLP, Databricks, and SQL Server. Power Apps familiarity is a plus.

Qualifications

• Minimum 5+ years of related analytics/engineering experience.
• Advanced degree in quantitative field or related discipline.
• Strong programming skills in Python or R for analytics and ML.
• Proficiency in SQL with SQL Server.
• Experience with Databricks and Apache Spark (PySpark).
• Knowledge of data engineering concepts and data quality controls.
• Experience delivering Power BI visualizations and reporting.
• Familiarity with NLP, LLMs, and agent concepts.
• Experience integrating analytics into applications using Power Apps.

Responsibilities

• Lead end-to-end analytics initiatives from problem framing and experimental design through production delivery.
• Architect and implement scalable data solutions.
• Fuse disparate data sources and establish data preparation standards.
• Implement data quality controls and manage schema changes.
• Develop, evaluate, and deploy predictive models and optimization approaches.
• Support text-heavy and unstructured-data use cases with NLP methods.
• Deliver decision-support products through Power BI.
• Provide technical leadership and consultation.

Skills

5+ years of related experience

Python or R for analytics, ML, and dat

Advanced SQL skills

Databricks and Apache Spark (PySpark)

Data preparation concepts

Visualization with Power BI

NLP, LLMs, and agent concepts

Power Apps familiarity

Education

Master’s or doctoral degree in quantitative science or related discipline

Tools

SQL Server

Databricks

Apache Spark (PySpark)

Power BI

Power Apps

Job description

Responsibilities

• Lead end-to-end analytics initiatives from problem framing and experimental design through production delivery
• Architect and implement scalable data solutions
• Fuse disparate data sources and establish data preparation standards
• Implement data quality controls and manage schema changes
• Develop, evaluate, and deploy predictive models and optimization approaches
• Support text-heavy and unstructured-data use cases with NLP methods
• Deliver decision-support products through Power BI
• Provide technical leadership and consultation

Requirements

• 5+ years of related experience
• Master’s or doctoral degree in quantitative science, social science or related discipline
• Strong proficiency in Python or R for analytics, ML, and data manipulation
• Advanced SQL skills and hands‑on experience with SQL Server
• Experience using Databricks and Apache Spark (PySpark)
• Solid understanding of data engineering concepts
• Experience producing decision-quality visualization and reporting, preferably with Power BI
• Familiarity with NLP, LLMs, and agent concepts
• Experience integrating analytics into applications using Power Apps