Lead Consultant, Measurement Science
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Job Description
Measurement science consultant improving Allstate Claims decision-making. Designing experiments and causal analyses to ensure defensible business impact measurement.
Responsibilities:
- Define and ensure high-quality measurement practices across Claims
- Serve as a strategic leader and subject matter expert for business and analytics teams
- Provide short-term consulting engagements to course-correct measurement on specific projects
- Serve as a dedicated resource within business and product teams for long-term engagements
- Educate Claims leaders and employees on measurement science
- Translate complex analytical concepts into clear business recommendations
- Present findings, risks, and opportunities to senior leadership
- Build partnerships across Claims, Analytics, Technology, and Finance
- Lead complex measurement engagements involving multiple stakeholders
- Define business objectives, success metrics, assumptions, and measurement approaches
- Ensure analyses are accurate, defensible, and aligned to business objectives
- Identify measurement risks and opportunities affecting decision quality
- Promote consistent measurement standards, frameworks, and best practices
- Design and execute experiments, quasi-experiments, and observational studies
- Apply statistical and causal inference methods to evaluate business initiatives
- Establish baselines, control groups, and success criteria for valid attribution
Requirements:
- 5+ years of experience in analytics, data science, measurement science, economics, statistics, or related fields
- Demonstrated experience designing experiments, causal inference analyses, or program evaluations
- Excellent communication and presentation skills
- Experience influencing decisions through analytics and business consulting
- Experience working in matrixed organizations and partnering with senior business stakeholders
- Claims experience preferred but not required
- Strong expertise in statistical analysis, experimentation, and causal inference
- Experience with advanced analytics tools and programming languages (Python, R, SQL)
- Strong business acumen and ability to connect analytics to business outcomes
- Ability to operate effectively in ambiguous and fast-paced environments
- Strong problem-solving and critical thinking capabilities
- Background investigation required
- Generally no employment-based visa sponsorship
Benefits:
- Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse
- Monthly connectivity reimbursement to help offset internet costs
- Opportunity to work fully remotely
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