Data Scientist
Eden, UT · On-site +1
Apply causal inference methods -- difference-in-differences, synthetic controls, instrumental ... Communicate clearly and proactively in a remote-first environment Qualifications Required
Data Scientist
Eden, UT · On-site +1
Apply causal inference methods -- difference-in-differences, synthetic controls, instrumental ... Communicate clearly and proactively in a remote-first environment Qualifications Required
Evidence Synthesis Remote information
What are Evidence Synthesis Remote jobs?
Evidence Synthesis Remote jobs involve systematically collecting, evaluating, and summarizing research findings from multiple studies to answer specific scientific or policy questions. These roles are often found in healthcare, policy research, and academic settings, and can include tasks such as conducting systematic reviews, meta-analyses, and preparing reports. Working remotely, professionals in this field use digital tools and databases to access literature, collaborate with teams, and ensure that evidence is rigorously and transparently synthesized. Strong analytical, critical appraisal, and communication skills are essential for success in this role.
What are the key skills and qualifications needed to thrive as an Evidence Synthesis professional working remotely, and why are they important?
To thrive as an Evidence Synthesis professional, you need expertise in systematic review methods, critical appraisal, literature searching, and typically a degree in public health, epidemiology, or a related field. Familiarity with tools such as Covidence, EndNote, RevMan, and proficiency in databases like PubMed or Embase, as well as an understanding of PRISMA guidelines, are commonly required. Exceptional attention to detail, independent time management, and strong written communication are vital soft skills for remote collaboration and accurate reporting. These skills and qualifications are essential to ensure the integrity, reliability, and efficiency of evidence-based research conducted in a distributed work environment.
What are some common challenges faced by remote Evidence Synthesis professionals, and how can they be addressed?
Remote Evidence Synthesis professionals often face challenges such as coordinating with multidisciplinary teams across time zones, accessing subscription-based research databases, and maintaining clear communication during systematic review processes. These challenges can be addressed by utilizing project management tools, setting regular virtual meetings, and ensuring access to necessary digital resources through institutional logins. Building strong communication protocols and staying proactive in updates also contribute to a more efficient workflow and successful evidence synthesis outcomes.
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Full-time
Medical, Dental, Vision, PTO
Posted 11 days ago
Job description
Role Overview
The Data Scientist will own the measurement science behind Audiohook\'s performance audio advertising platform. You\'ll design and run incrementality tests, build and maintain marketing mix models, and apply causal analysis to quantify how Audiohook drives outcomes for advertisers. This role combines hands-on modeling with the opportunity to shape how we prove value to customers, sharpen our bidding and optimization systems, and influence product direction. You\'ll collaborate closely with Engineering, Product, Sales, and Customer Success to ensure measurement isn\'t just statistically sound but operationally useful.
Key ResponsibilitiesMarketing Measurement & Causal InferenceDesign and run incrementality experiments (geo, ghost bidding, holdout, PSA) that quantify Audiohook\'s lift for advertisers
Build, maintain, and evolve marketing mix models (MMM) and multi-touch attribution analyses across customer campaigns
Apply causal inference methods — difference-in-differences, synthetic controls, instrumental variables, propensity scoring — to questions that can\'t be answered with RCTs
Translate measurement results into clear narratives for advertisers, internal stakeholders, and the product team
Partner with Engineering on the data and modeling layer that powers bidding, pacing, and optimization decisions
Develop and validate predictive models that improve campaign performance and platform efficiency
Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement quality
Partner with Sales and Customer Success on measurement studies for priority accounts and renewals
Partner with Product on roadmap inputs grounded in causal evidence, not just descriptive data
Present findings to advertisers, internal teams, and leadership in clear, decision-ready formats
Communicate clearly and proactively in a remote-first environment
Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related quantitative field
3–5 years of applied data science experience with a focus on marketing measurement — incrementality, MMM, attribution, or causal analysis
Hands-on experience designing and analyzing experiments (A/B, geo, holdout) in a marketing or advertising context
Strong fluency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL
Solid grounding in statistical inference, regression, and causal methods
Ability to communicate technical results to non-technical audiences — advertisers, sales, leadership
Excellent attention to detail and intellectual honesty about model limitations
Experience in adtech, digital advertising, or media measurement
Experience with Bayesian methods or Bayesian MMM frameworks (e.g., PyMC-Marketing, LightweightMMM, Robyn)
Experience working with large-scale ad event data (impressions, clicks, conversions) and modern data stacks (e.g., Iceberg, Snowflake, BigQuery)
Experience in a startup or high-growth company
Comfort using AI tools to accelerate exploratory analysis, code, and write-ups while maintaining methodological rigor
Fully remote work environment
Competitive salary and equity opportunities
Performance bonuses
Health, dental, and vision benefits
Other benefits such as daily lunch stipend, monthly wifi, cell phone and subscription reimbursement, and annual hardware stipend
Flexible PTO and remote-friendly culture
Bi-annual Corporate Offsites
Opportunity to help shape a function at a rapidly scaling tech company
About Audiohook
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