Technical – Methodology Lead Engineer

Stelle nicht auf LinkedIn

🕒 vor 15 Tagen

🇺🇸 Vereinigte Staaten – Remote

💵 $145.000 - $175.000 / Jahr

⏰ Vollzeit

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

👻 Geisterscore 20%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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AlphaHire

11 - 50 Mitarbeiter

Gegründet 2018

🏗️ Bauwesen

💼 Beratung

📦 Logistik

Construction • Consulting • Logistics

Founded in 2018, AlphaHire provides workforce intelligence for capital-intensive markets. Its Workforce Intelligence Platform helps executives evaluate execution risk before committing to projects, bids, expansion, acquisitions, investments, and growth strategies.

Beschreibung

• Translate client questions and solicitation requirements into defensible research and analytical plans. • Define data sources, sampling approaches, comparison groups, assumptions, and analytical methods. • Guide internal analysts through data collection, preparation, analysis, and interpretation. • Establish standards for source documentation, reproducibility, limitations, and evidence supporting conclusions. • Review models, calculations, survey instruments, interview protocols, and analytical outputs. • Identify methodological risks, data gaps, and conclusions that exceed the available evidence. • Select and coordinate specialized experts for clearly defined technical assignments. • Translate findings into practical recommendations for agency leaders. • Support client presentations, technical discussions, and stakeholder workshops. • Contribute technical approaches, staffing assumptions, and effort estimates to proposals. • Build reusable methodologies, analytical templates, and training materials. • Work with the independent QA lead to resolve findings before delivery.

🎯 Anforderungen

• Demonstrated expertise in one or more relevant fields: labor economics, workforce analytics, public policy research, compensation analysis, economic development, or program evaluation. • Experience designing and delivering applied research or analytical consulting engagements. • Strong quantitative skills and the ability to evaluate data quality, assumptions, and methodological limitations. • Experience using public datasets and documenting analytical work so another qualified reviewer can reproduce it. • Ability to connect analytical findings to operational or policy decisions. • Experience supervising analysts or coordinating multidisciplinary technical teams. • Strong technical writing and the ability to explain complex findings to nontechnical audiences. • Relevant education or equivalent professional experience supported by completed work. • Preferred: Graduate education in economics, statistics, public policy, public administration, or a related discipline. • Preferred: Experience serving government agencies or other public-sector clients. • Preferred: Familiarity with workforce and economic data sources such as BLS, Census, and state labor market information. • Preferred: Proficiency in relevant analytical tools, such as R, Python, SQL, or advanced Excel. • Preferred: Experience with mixed-method research, survey design, compensation benchmarking, or evaluation design. • Preferred: Experience developing reusable analytical methods and mentoring delivery teams.

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