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    Senior Data Scientist - Detroit, United States - Vaco

    Vaco
    Vaco Detroit, United States

    3 weeks ago

    Default job background
    Technology / Internet
    Description

    Responsibilities

    • Develop and enforce best practices for experimentation, statistical methodologies, and scalable frameworks to facilitate the creation, monitoring, and learning from experiments.
    • Build strong relationships with internal users of the experimentation platform, understanding their preferences and experiences to support rapid, reliable online experiments through training sessions, office hours, documentation, and ad-hoc assistance.
    • Provide expert consultation on test design, including power analysis, metric selection, hypothesis formulation, rollout criteria definition, anomaly detection, and manual test result interpretation.
    • Ensure data and computation quality by developing monitoring and alerting mechanisms to detect spillovers and biases, and provide guidance on systematically identifying root causes.
    • Integrate metrics directly onto the platform to enhance computation scalability and enable automated readouts, utilizing statistical methods and dashboards to mitigate false discoveries through rigorous multiple-comparison techniques.
    • Establish templates and procedures for standardized communication and dissemination of test results, and expand knowledge sharing through a centralized repository.
    • Develop and implement data science models to quantify annualized incremental lift on key output metrics such as revenue, and create models to assess long-term impact.
    • Investigate and propose various testing capabilities and causal inference techniques (e.g., A/B/n testing, holdback, pre-post, MAB, targeted delivery) based on relevant use cases.
    • Collaborate with the existing experimentation platform provider to prioritize experimentation use cases and periodically assess the latest experimentation platforms available in the market.
    • Define methodologies and metrics for evaluating the success of the platform and programs, and communicate these metrics to senior leadership, ensuring visibility and transparency regarding ongoing experiments and their impact on key metrics.
    • Research innovations in technology and modeling techniques that can improve the company's ability to market to its customers. Report on the management feasibility of use within the organization.
    • Own cross-channel attribution modeling and reporting.
    • Partner with the Actuarial team to incorporate risk and mortality into models and analysis.
    • Collaborate with the finance and operations teams to identify opportunities to reduce costs or improve efficiencies.

    Qualifications

    • Bachelor's or Master's degree in Probability and Statistics, Operations Research, Linear Programming, Computer Programming, Economics, Finance, or Marketing.
    • Minimum of 7 years of prior work experience with CRM/Database Marketing/Analytics Consulting, Data Mining, Statistical Model Development, Consumer Research.
    • Experience with market-leading 3P experimentation platforms like Optimizely, Adobe Target, AB Tasty, Statsig, etc., or in-house experimentation platforms is a plus.
    • Minimum of 5 years of experience working with financial, health, or similarly complex and regulated data at the individual level.
    • Minimum of 5 years of experience in relational databases, SQL, and statistical programming (R or Python preferred).
    • Demonstrated expertise in data wrangling, processing, and developing, tuning, and validating predictive data models.
    • Direct experience applying appropriate algorithms to manage, access, and develop data products against large, sophisticated datasets.
    • Experience in the insurance industry or member organizations is a plus.
    • Qualified candidates will have experience in experimentation, A/B testing, statistics, and marketing.
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