9 of 9 Statistical Inference Jobs

shaping the future of marketing technology — and actually enjoys doing it — you're in the right place. Find us on Instagram: @optimizely Introduction Rigorous statistical analysis is a core to all experimentation products at Optimizely. You will get on customer calls to articulate how we maintain statistical accuracy … products as well as triage questions around statistical inference. You will educate internal and external stakeholders about fundamental as well as cutting edge statistics concepts via webinars, speaking engagements, blog posts, and white papers. You will also have the opportunity to work with our product and engineering teams ...

Highly proficient in writing optimized, complex queries across large cloud data warehouses (e.g., Snowflake, BigQuery). Programming & Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning. Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory, decision trees, and hypothesis testing (p-values … quantitative analytics or data science role in a fast‐paced environment. Business Acumen: Demonstrated track record of framing business problems into mathematical/statistical frameworks and outputting actionable recommendations. Communication: Ability to distill complex statistical concepts into clear, plain language for non‐technical executives. Nice‐to‐Haves: Experience ...

client’s team in Central London. You’ll play a pivotal role in driving data-informed decision-making through advanced A/B testing, statistical analysis, and enterprise-level business intelligence solutions This is a client-facing position where you’ll work embedded within the client’s team, requiring … initiative, and the ability to represent CI&T professionally Design, implement, and analyze A/B tests to measure product and feature performance Apply statistical methods to ensure test validity and generate actionable insights Present findings and recommendations to stakeholders Design, build, and optimize semantic data models in Power ...

join our Research and Intelligence organisation in London. You'll work across flexible, cross-functional squads within the Data Science team, leading analytical, statistical, and machine-learning work across both UTXO and EVM blockchains. The team develops behavioural heuristics, graph algorithms, statistical models, and machine-learning techniques that … projects or systems, translating broad problem statements into actionable work, managing evolving requirements, and delivering measurable outcomes. Design, develop, and validate novel analytical methods, statistical models, behavioural heuristics, and algorithms across UTXO, EVM, and other blockchain data to attribute on-chain activity and uncover customer-relevant insights. Stay current ...

systems end to end – from hypothesis through experimentation, training, evaluation, deployment, monitoring and iteration. You’ll write production-quality training and inference code, own your releases, and be accountable for the business metrics your models improve. You Will Own ML systems end to end – hypothesis, experimentation, training, evaluation, deployment … monitoring and iteration. Write production-quality training and inference code, own releases, and be accountable for the business metrics your models improve. Design, execute and interpret A/B and multivariate experiments – power analysis, guardrails, exposure/assignment strategy and statistical significance. Apply contextual bandits, causal inference ...

machine learning models in a production environment. Fraud, risk, or financial services experience is a strong plus. Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering. Comfort working in fast-paced, cross-functional teams with high ownership expectations. Skills & Competencies: Proficiency in Python ...

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 ...

heuristics and algorithms over EVM (and other) blockchain data to attribute on‐chain activity and uncover new insights. Apply advanced techniques including graph computation, statistical modeling, and machine learning to large‐scale on‐chain datasets. Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly … Python and SQL, with a track record of writing clean, testable, production‐quality code. Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets. Comfort working with EVM‐based blockchain data, or strong evidence of the aptitude to ramp up quickly ...

Engineering. 3–5 years as a quantitative analyst/programmer in asset management or investment banking. Strong grounding in probability theory, stochastic calculus and statistical inference. Experience across liquid and illiquid assets, asset allocation and portfolio optimisation. Practical exposure to bond pricing, stochastic volatility modelling and Monte Carlo simulations. ...