8 of 8 Remote/Hybrid Permanent Statistical Inference Jobs

Skills & Experience Strong commercial experience within consumer facing digital product environments Experience analysing complex customer journeys and behavioural data Knowledge of experimentation methodologies and statistical inference techniques Familiarity with product analytics and user behaviour tracking tools, such as Google Analytics or similar platforms Advanced SQL skills and working ...

Make your mark for patientsWe are looking for a Principal Statistical Methodologist who is curious, collaborative, and strategic to join our Statistical Innovation team within Biometric and Data Sciences (BDS), based in any of our Braine l'Alleud (Belgium), Monheim (Germany), Slough (UK) or Raleigh (US) offices.About … contribute to the group's scientific profile through publications and external collaboration.Who you will work withYou will be working in a team that provides statistical consultancy across therapy areas and development stages, partnering closely with colleagues in clinical development, regulatory strategy, data science, and medical affairs. The team values ...

Modeling, marketing effectiveness, econometrics, forecasting, commercial analytics, or optimization. Deep expertise in every MMM technique is not required, but you should have the statistical foundation, modelling experience, and business understanding needed to lead complex analytical projects. What Your Day Might Look Like: Build the models: Develop and enhance Marketing … optimization approaches to guide media budget allocation and investment decisions. Interrogate the results: Evaluate assumptions, uncertainty, and business plausibility rather than relying on statistical fit alone, using SHAP, diagnostics, and sensitivity analysis to explain the drivers. Tell the story: Translate outputs into clear recommendations on channel performance ...

produced outputs. Compare multiple AI-generated solutions and identify the strongest response based on technical merit. Evaluate Python, SQL, analytics, machine learning, statistical, and data engineering-related content. Provide clear written feedback and justification for evaluation decisions. Identify factual inaccuracies, logical errors, coding issues, and opportunities for improvement. Apply … quality and productivity expectations. Participate in onboarding and qualification activities, including an initial paid assessment. Qualifications Extensive Data Science experience in analytics, machine learning, statistical modeling, data engineering, business intelligence, artificial intelligence, or related applied disciplines. Undergraduate study does not count toward the minimum experience requirement. Working proficiency ...

deeper. This is not a production ML role (we have a dedicated Data Science/MLE team for that). Your primary tools are statistical inference, clear thinking, and the judgment to know which question matters most.You'll report into the Data & Analytics leadership team and work alongside … science role at a consumer tech companyBachelor's degree in a quantitative field (economics, statistics, quantitative social science, operations research) Demonstrated experience with causal inference methods in applied settings (e.g., difference-in-differences, instrumental variables, regression discontinuity, synthetic controls, propensity score matching)Track record of influencing product or business ...

across the discipline. What we're looking forExperience as a Data Analyst (or similar role) within consumer-facing product teams Experience applying methods for statistical inference (e.g. Bayesian, Frequentist) and analysing A/B tests Experience in planning and completing analytical tasks on time, being responsible for gathering ...

stage of the consumer’s lifecycle. Experience overseeing experimentation programmes and practices that inform product or business decisions. A good understanding of methods for statistical inference (e.g. Bayesian, Frequentist) and familiarity with predictive analytics techniques is highly beneficial. Working knowledge of common analytics tools used for tracking ...

capability, not a technical process. Lead, coach, and develop ahigh performingteam of forecasting specialists. Whatyou’llbring Technicalexpertise Deep specialist knowledge of forecasting, timeseries modelling, statistical inference, and model evaluation. Experienceof applyingadvanced techniquestocommercial decision making. Strong understanding of data engineering, data structures, and data quality principles. Leadership & influence Exceptional ...