476 to 500 of 2,116 Statistics Jobs

Experience in complex problem solving, and working in a tight schedule environment - Bachelor's degree PREFERRED QUALIFICATIONS - Experience leading process improvements - MBA - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field - Intermediate knowledge of either Python or SQL Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

technical roadmaps for stakeholders at various levels Contribute to client-facing activities, including presentations, workshops and responses to RFPs/RFIs Requirements Bachelors or Masters degree in Data Science, Statistics, Computer Science, Software Engineering or related fields. A Ph.D. is an advantage Extensive experience in data science, ML engineering or related roles. Experience in leading teams on projects in not More ❯

the exploration of new tools and technologies. Contributing to the development and execution of PDQ goals and initiatives. What you will bring: A Degree in Data Science, Computer Science, Statistics, Mathematics, or equivalent relevant experience. Scientific programming experience (Python and/or R expertise required). Knowledge in statistical/advanced analytics (e.g., clustering, data classification, data grouping). Experience More ❯

of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring More ❯

changes to include communication back to the client. Actively participate in deployment of changes. Experience, Education and Qualifications: Degree in Finance, Business, Computer Science, Software Engineering, Information Science, Economics, Statistics, Accounting or Data & Analytics. Understanding of the implementation process including requirement analysis, design, configuration/development, migration, testing, and change management. Strong observational, analytical and numerical reasoning skills Effective communication More ❯

an entry-level role and would be a great fit for someone who has recently completed a degree, bootcamp, or course in a related field such as Data Science, Statistics, or Computer Science. If you're looking to kick-start your career in data and are eager to learn and grow, we'd love to hear from you! Location : London More ❯

using Python. Please note that this and the following bullet imply a significant breadth and depth of technical skills we will be testing for during the interview process - e.g., Statistics; other programming/scripting languages; solid understanding and experience with Cloud technologies; OOP, TDD, GitHub/Actions/Flow, and MLOps best practices; classical ML algorithms; at least some NLP More ❯

an entry-level role and would be a great fit for someone who has recently completed a degree, bootcamp, or course in a related field such as Data Science, Statistics, or Computer Science. If you're looking to kick-start your career in data and are eager to learn and grow, we’d love to hear from you! Location : Sheffield More ❯

of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring More ❯

analytics engineers to improve them Run experiments to improve efficiency of KYC controls, refining triggers and requirements Qualifications Skill Requirements: You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area You have strong experience with SQL and Python/R You have strong communication skills and an ability to translate business problems into More ❯

a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields. A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data More ❯

ensure all product teams understand and align with standardized data definitions and practices Skills Knowledge and Expertise Bachelor's degree in a relevant field (e.g., Business, Computer Science, Engineering, Statistics) Extensive previous experience in a product analytics role, preferably within a B2B SaaS environment at a fast-moving organisatrion Strong analytical skills with proficiency in SQL and data visualization tools More ❯

while working alongside super-smart colleagues challenging and rewriting the rules, not just following them. What we expect from you 3 to 5 years of experience required Degree in Statistics, Maths, Physics, Economics or similar field Programming skills (Python and SQL are a must have) Analytical Techniques and Technology Logical thinking and problem solving Experience with and passion for connecting More ❯

friendly dashboards and reports Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes Desirable A background in statistics and/or programming, with the ability to apply statistical methods and algorithms to extract insights from data Especially surrounding experimentation Familiarity with machine learning (ML) and artificial intelligence (AI More ❯

perhaps even delivered a talk or two that you’d like to share. Skills, Knowledge and Expertise Technical skills Good understanding of linear algebra (vectors, matrices, tensors etc.) and statistics (probability distributions, probability, bayesian stats etc.) Good working knowledge of Python Implementing end-to-end ML pipelines Hand-on experience in Python data science ecosystem (e.g. numpy, scipy, pandas, scikit More ❯

driven business. You therefore should be organised, have a strong work ethic, and show an innovative and methodical approach to problem solving. You should have: Background in Machine Learning, Statistics, Applied Mathematics, Computer Science or a related field (MSc or PhD ideal, but open to strong BSc candidates) Hands-on experience with Bayesian optimization, ideally in noisy or low-data More ❯

drive operational improvements. What We're Looking For: 8+ years of work experience in an Analytics role Relevant Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/ More ❯

Experience in an individual contributor role in ML engineering. Proven track record in building and leading teams of experienced ML engineers/scientists. Solid understanding of the fundamentals of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms. Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray More ❯

including advanced querying Technical - Developing visualisation/reporting and administrating platforms Technical - Data Science/ML/Cloud Technical - Python/R/other general purpose programming languages/statistics Manchester University NHS Foundation Trust £46,148 to £52,809 a yearper annum (pro rata) #J-18808-Ljbffr More ❯

and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in search/ranking, Reinforcement Learning or Meta Learning Experience with A/B More ❯

Proficiency in verbal and written communication, and competence in data presentation. Relevant bachelor's or master's degree or equivalent experience in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Validated experience with marketing technologies, such as Google Analytics, Adobe Analytics, Salesforce Marketing Cloud, Marketo or similar technologies 8+ years of More ❯

environments, including setup and optimization. Build and maintain critical data pipelines and transformations in collaboration with data engineering. Qualifications Bachelor's degree in a quantitative field (e.g., Data Science, Statistics, Economics, Mathematics) or equivalent practical experience. 3-5+ years of progressive experience in data analysis, reporting, and Business Intelligence. Proven ability to manage multiple analytical projects and meet deadlines. More ❯

and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred Qualifications, Capabilities, And Skills Strong background in Mathematics and Statistics and familiarity with the financial services industries; Solid knowledge in financial reports analysis; understand relationships among items in Balance Sheet, Income Statement, and Cashflow statement Ability to develop and debug More ❯

address the following selection criteria: 1. Substantial experience of managing statistical information to produce insights for a large organisation and/or knowledge of the use and interpretation of statistics to a professional standard. 2. Experience of working with large datasets; defining, querying, validating and analysing data sets using SQL language and Power BI. Experience with an advanced programming language More ❯

drive operational improvements. What We're Looking For: 8+ years of work experience in an Analytics role Relevant Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understating of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/ More ❯