statistical models

Data Analyst

posted by: spj_bot

We are looking for a Data Analyst who will work with marketing and product data, build visualizations, support decision-making with accurate insights, and contribute to the development of analytical models and automation.


Responsibilities

  • Analyze marketing and product data to identify trends, patterns, and opportunities for optimization.
  • Design and maintain dashboards and visual reports using BI tools (Looker Studio, Tableau, Power BI).
  • Participate in building analytical and forecasting models based on product, financial, and behavioral data.
  • Prepare technical documentation and maintain data dictionaries for the analytics function.
  • Support automation of analytical processes, reporting pipelines, and recurring workflows.
  • Collaborate with product, marketing, and engineering teams to ensure data accuracy and alignment.
  • Present insights to stakeholders in a structured, clear, and actionable format.

Requirements

Job Skills

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Data Scientist

posted by: spj_bot

About the Role

We are a data science-driven special investigations unit that uses data across employers, insurers, and contractors to prevent fraud in the insurance space, with a focus on workers' compensation and personal injury fraud. We're building smarter, more predictive systems that will shape the future of fraud detection in blue-collar industries.

What We're Looking For

We need a talented Data Scientist to work at the intersection of data and engineering, applying statistical analysis, machine learning, and thoughtful experimentation to uncover fraud and assess labor risk. You should have a strong problem-solving mindset and excellent communication skills.

What You'll Do

  • Design and implement statistical models and machine learning algorithms to detect fraudulent patterns.
  • Analyze large-scale datasets to derive actionable insights for internal and customer-facing applications.
  • Work cross-functionally with leadership, engineering, and users to align data initiatives with business goals.
  • Collaborate closely with engineering and product teams to bring data science solutions into production.
  • Shape the intelligence layer of our platform by applying thoughtful experimentation and model evaluation techniques.

Requirements

Job Skills

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