Senior Data Scientist, Risk & Underwriting (Hybrid)

Mudflapinc

Palo Alto (CA)

Hybrid

USD 185,000 - 225,000

Full time

14 days+
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Benefits offered by this job

Competitive salary and equity
Multiple health benefit options
Responsible Time Off
401(k) matching
Career growth opportunities

Job summary

Mudflapinc in Palo Alto, CA is seeking a Senior Data Scientist, Risk to develop predictive models and strategies to mitigate fraud in the trucking industry. The role involves working closely with multiple teams to translate complex data into actionable insights while driving data-driven decision-making.

Ideal candidates will have 5+ years of experience in data science, be proficient in SQL and Python, and possess strong statistical knowledge. Benefits include a competitive salary, multiple health options, and 401(k) matching.

Qualifications

  • 5+ years of experience in data science, analytics, or related fields.
  • Proficiency in SQL and Python for data manipulation, modeling, and automation.
  • Experience building production-ready models and pipelines.
  • Strong statistical knowledge and experience designing experiments.
  • Excellent communication skills for presenting insights.

Responsibilities

  • Drive strategic data science initiatives impacting business outcomes.
  • Lead end-to-end machine learning projects from formulation to deployment.
  • Drive data-driven decision making across cross-functional partnerships.
  • Mentor junior data scientists and establish best practices.
  • Lead experimentation strategy and drive product innovation.

Skills

Data science
SQL
Python
Statistical knowledge
Communication skills

Job description

Mudflapinc in Palo Alto, CA is seeking a Senior Data Scientist, Risk to develop predictive models and strategies to mitigate fraud in the trucking industry. The role involves working closely with multiple teams to translate complex data into actionable insights while driving data-driven decision-making.

Ideal candidates will have 5+ years of experience in data science, be proficient in SQL and Python, and possess strong statistical knowledge. Benefits include a competitive salary, multiple health options, and 401(k) matching.

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