251 to 275 of 646 Remote Statistics Jobs

Studio and Power BI dashboards Integrating data from multiple sources Advanced analysis using R SQL querying in platforms like Google BigQuery Skills Profile Essential Skills Aptitude for mathematics and statistics Desire to learn, innovate, and create Results-oriented mindset Understanding of data in decision-making Technical yet creative problem solver Excellent communication skills Strong time management and organization Passion for More ❯

development lifecycle. What we're looking for: Background & Experience: 3+ years in ML/AI with a Master’s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical More ❯

technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity about financial markets. More ❯

technical skills and a passion for problem-solving with an intense curiosity about financial markets and human behaviour. About You: PhD or PhD candidate in machine learning, computer science, statistics, or a related field. Superb analytical and quantitative skills, along with a healthy streak of creativity. Demonstrated ability to conduct independent research utilizing large data sets. Curiosity about financial markets. More ❯

a deep understanding of industry dynamics and corporate functions to help clients create the most value from data. Education Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus More ❯

a deep understanding of industry dynamics and corporate functions to help clients create the most value from data. Education Bachelor's degree in quantitative field like Computer Science, Engineering, Statistics, Mathematics or related field required. Advanced degree is a strong plus More ❯

with colleagues across the group to deliver projects and the change agenda. Requirements: At least two years Data Science leadership experience. Degree or equivalent in technical numerical field (e.g. statistics, mathematics, physics, operational research, economics, or engineering). Aptitude to embrace AI and its potential for the business, helping to identify and deliver AI projects across the business. A passion More ❯

tech-driven company, we’d love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with Python, building algorithms and models, and working with large, messy, complex data sets to model optimised process and performance. A deep background More ❯

role You can code with at least one of the following: Python, C++ or C# You have strong SQL skills You're comfortable working with large data sets and statistics You have a good appreciation of data science techniques You have experience of implementing highly scalable, performant, low latency solutions You have excellent written and verbal communication skills What's More ❯

tech-driven company, we’d love to hear from you. Experience Required: Educated to degree level in a relevant subject such as Computer Science, Machine Learning, Artificial Intelligence, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong programming skills with Python, building algorithms and models, and working with large, messy, complex data sets to model optimised process and performance. A deep background More ❯

managing workload and stakeholder relationships. Lead stakeholder relationships to follow up on projects and implement recommendations. Assist with ad-hoc requests, automating ongoing data needs. Support best practices in statistics, coding, visualization, storytelling, QA, and project delivery. Promote the team’s work through training and presentations. Adhere to Data Governance guidelines, ensuring proper data sharing and usage. What we need More ❯

actionable way to non-technical audiences Collaborate with colleagues across the organisation to embed evidence-informed decision-making What we’re looking for: A degree with strong maths/statistics content or 3+ years’ experience in quantitative analysis Proficiency in R or Python Experience using a data visualisation tool (e.g. Power BI, Tableau, etc.) Soft skills: Strong communicator able to More ❯

in Python, KDB, and preferably Java or C++ Deep experience in quantitative research, data analysis, and strategy development Educational background with a PhD or Bachelor's in Mathematics, Physics, Statistics, Machine Learning, Econometrics, or Computer Science Excellent communication skills for diverse audiences Experience coaching and mentoring in a quantitative research/trading environment How we’ll support you: Training and More ❯

multiple priorities in a fast-paced setting A collaborative mindset with the ability to turn complex data into clear strategic direction Degree in a quantitative field such as Maths, Statistics, Data Science, or Economics Certifications in analytics tools (e.g. GA4, Power BI, Tableau) are a plus Apply Now You can apply for the Data Analyst position now by sending us More ❯

and experience: A or A grades in Mathematics and other numerate A-levels. 2'1 or above degree in a numerate discipline: for example, but not limited to, Mathematics, Statistics, Engineering or Physics. A PhD or a research-based Masters is highly desired for this role. Excellent analytical skills with the ability to manipulate and interpret data. The job holder More ❯

geospatial analysis, or software and tools development Demonstrate foundational expertise in one or more of the following fields: Computer Science, Data Science, Data Analysis Criminology, Psychology, Applied Social Sciences Statistics, Mathematics, Systems Analysis, Engineering Intelligence, National Security, Cyber Security Geographic Information Systems, Geospatial Analysis Location: Washington DC Metro Area/Northern Virginia Remote Work: Not eligible, COVID-19 mitigations may More ❯

ideas to your work. Share insights and collaborate with fellow data scientists to enhance experimentation capabilities across the team. What We're Looking For: Master’s or PhD in Statistics, Economics, Econometrics, or related quantitative fields. 3–5 years of experience in a data science experimentation role (less with a PhD). Strong understanding of A/B testing and More ❯

on tooling and to build impactful technology Communicate complex concepts to technical and non-technical stakeholders through clear storytelling Required Skills Education: Bachelor's or Master's degree in Statistics, Data Science, Computer Science or related field Experience: Proven experience in ML model lifecycle management Core Competencies: Model lifecycle: You've got hands-on experience with managing the ML model More ❯

XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders Self-starter attitude with curiosity and drive A degree in Data Science, Math, Statistics, or Computer Science preferred 4+ years of experience (we're flexible for exceptional candidates) Industry experience not required — just passion and skill. 60-minute technical interview 2-hour in-person More ❯

up to date with the latest BI and data analytics technologies, and industry trends. Use a hybrid work schedule You Have: Bachelor's degree in computer science, data science, statistics, or a related field. 7+ years of experience in analytics and data reporting Experience with statistical techniques and predictive modelling using tools such as SPSS, SAS or Python Expertise in More ❯

business leaders and teams including answering specific business questions with relevant data insights. Use a hybrid work schedule You Have: • Bachelor's degree in Business, Computer Science, Data Science, Statistics, or a related field. • 3+ years of experience in building dashboards and delivery insights to business teams • Experience using Python and Power BI How We Support You: We provide flexibility More ❯

solutions. Skilled at translating complex data into clear, compelling insights for non-technical audiences through effective communication and storytelling Education and/or Experience Requirements: Bachelor's Degreein Marketing, Statistics, Mathematics, Computer Science, or Finance. Preferred: Bachelor's Degree inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a More ❯

and deployment of algorithmic trading strategies Data-driven decision making Proficiency in Python for data analysis, visualization, and manipulation Effective communication of complex topics Strong knowledge of probability and statistics Desirable Skills Additional expertise in the following areas is a plus: European power markets (Germany, Italy, Spain) Advanced numerical methods (time-series analysis, machine learning, linear programming, stochastic optimization) Developing More ❯

solutions. Skilled at translating complex data into clear, compelling insights for non-technical audiences through effective communication and storytelling Education and/or Experience Requirements: Bachelor's Degreein Marketing, Statistics, Mathematics, Computer Science, or Finance. Preferred: Bachelor's Degree inFinance, Mathematics, or Statistics. Master's Degree Preferred 5+ years of experience in marketing or customer analytics. 1+ years in a More ❯

owning projects that lead to real, measurable business changes, with continuous testing and optimisation cycles. A degree from a good university with at least a 2:1 in Maths, Statistics, or a numerate discipline, alongside strong A Levels. Minimum of 5 years' relevant work experience. Advanced numeracy skills (will be tested). Expert SQL skills. Essential experience with Power BI. More ❯