1 to 25 of 180 Remote/Hybrid Statistics Jobs

data-driven solutions across government functions. Required Skills: Strong background in data science, with a degree in a relevant field such as Computer Science, Statistics, or Mathematics. Proficiency in programming languages such as Python, R, or SQL, and experience with data science libraries and frameworks. Expertise in statistical modelling, machine ...

Data Scientist who has: A Ph.D or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar) 8+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving A strong understanding of statistical concepts, measurement methods, A/ ...

analytics to drive product or business decisions. Strong Python skills for data analysis, modelling, and experimentation; working knowledge of SQL. Solid grounding in statistics, machine learning, and predictive modelling, including classification, regression, and clustering techniques. Experience designing, running, and evaluating experiments (e.g. A/B testing) to measure product ...

Data Scientist who has A Ph.D. or Master's degree in a quantitative field (e.g. science, engineering, economics, quantitative finance, operations research, statistics, or similar) 8+ years of work experience involving quantitative data analysis, experimentation and complex problem solving Experience modeling 2 sided marketplace dynamics (inventory optimization, advertising management, supply ...

project planning and strategy discussions. Education & Experience Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics/Master’s degree is preferred. At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities. Strong foundation ...

ability to use quantitative and qualitative information to stimulate improvement and provide assurance on data integrity Ability to use data science techniques and statistics, including use of Python/R Ability to manipulate data in data lakes using PySpark/Experience with cloud-based data architectures and scalable data solutions ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...

Azure/GCP) Analytical curiosity, attention to detail, and ability to question data quality Clear communication skills and confidence presenting findings Nice-to-haves: Statistics and experimentation (A/B, multivariate) Segmentation/modelling experience Exposure to marketing orchestration/ad-tech tools (Salesforce, Braze, Adobe, DSPs) Light data engineering ...

experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production ...

experiment and learn Presenting findings in plain language and helping non specialists act on the insights What we are looking for Strong grounding in statistics and or Machine Learning, plus solid Python Confident SQL skills and experience with real world, messy datasets Experience of the ML lifecycle, ideally including production ...

models for correctness and performance Qualifications: Fluency in English (native or bilingual level) Detail-oriented Proficient in arithmetic, algebra, geometry, calculus, probability, statistics, and inductive/deductive reasoning A current, in progress, or completed Master's and/or PhD is preferred but not required Note: Payment is made ...