Attune - Data Scientist
Requirements
• Bachelor's degree in data science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field required. • Advanced degree (MS or PhD) preferred. • 3 - 7 years of experience in data science, advanced analytics, or statistical modeling roles. • Experience working with large datasets and complex analytical problems. • Strong programming skills in Python and SQL. • Experience with statistical modeling and machine learning techniques. • Experience with data visualization and analytical tools (e.g., Tableau, Power BI, Looker, or similar). • Ability to translate complex analytical findings into clear business insights. • Strong problem-solving and critical thinking skills. • Ability to collaborate effectively with both technical and non-technical stakeholders. • Experience working with Property & Casualty (P&C) insurance data, including underwriting, claims, or pricing analytics. • Familiarity with advanced statistical techniques such as Bayesian modeling or hierarchical models. • Experience with MLOps frameworks, model deployment pipelines, and model monitoring tools. • Experience working in cloud data environments (AWS, GCP, Azure). • Familiarity with data engineering concepts, including ETL pipelines and data warehouse architectures. • Experience conducting experiments or A/B testing to evaluate business initiatives. • This position primarily operates in a professional office or remote environment and routinely uses standard office equipment such as computers and phones. The ability to remain stationary for extended periods and operate a computer is required.
Responsibilities
• Partner with stakeholders across Underwriting, Actuarial, Claims, Product, and Revenue to identify opportunities where data can inform better business decisions. • Underwriting, Actuarial, Claims, Product, and Revenue • Translate business questions into analytical frameworks, hypotheses, and statistical approaches. • Analyze customer, broker, and operational data to identify trends, anomalies, and opportunities to improve engagement, retention, and operational performance. • Conduct exploratory data analysis to investigate business problems and generate actionable insights. • Communicate analytical findings through visualizations, dashboards, and written summaries. • Develop predictive models and statistical analyses to support pricing, underwriting, claims, reserving, and operational initiatives. • Evaluate model performance and continuously improve models based on new data and changing business needs. • Explore internal and third-party data sources to enhance model performance and uncover new insights. • Collaborate with engineering and product teams to deploy analytical models into production systems and operational workflows. • Support the implementation of MLOps practices, including model versioning, deployment pipelines, monitoring, and lifecycle management. • Monitor models for performance degradation, bias, or drift and implement improvements as needed. • Document model assumptions, methodology, and validation processes to support transparency and governance. • Contribute to the improvement of internal data infrastructure, ETL pipelines, and reporting architecture. • Support the development and optimization of dashboards and analytics tools used by business teams. • Ensure data quality, consistency, and reliability across analytical workflows. • Identify opportunities to automate recurring analyses and reporting processes. • Work closely with business stakeholders to ensure analytics solutions align with operational needs and strategic objectives. • Partner with product and engineering teams to integrate analytical capabilities into internal platforms and decision tools. • Provide analytical support for ad-hoc requests and strategic initiatives. • Other duties as assigned.
Benefits
• Generous parental and caregiver leave • Excellent medical, dental, and vision plans • Remote-first culture • Annual $1000 tuition reimbursement stipend • The expected annual salary for this position is between $120,000 and $150,000, with the opportunity to earn an annual bonus of up to 15% of the base salary.
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