51 to 75 of 628 Remote Statistics Jobs

enabled insights, allowing our customers to remain relevant, capture market share, create deeper connection with consumers. Requirements · Bachelor’s degree in the quantitative research field, such as Data Science, Statistics, Mathematics, Social sciences, Biological/Physical science, or Computer Science; Masters preferred. · 4+ years of experience in using Python to prepare, aggregate, or transform data (both structured and unstructured) for More ❯

Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation of A/B tests. Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). Experience with application of optimization theory or reinforcement learning based on automated A/B More ❯

Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. • Experience in design and evaluation of A/B tests. • Familiarity with Bayesian statistics, especially for hypothesis testing. Extra points for good knowledge of Bayesian programming (PyMC3, etc). • Experience with application of optimization theory or reinforcement learning based on automated A/B More ❯

our Product teams. Identify, prioritize, and drive operational improvements. What We’re Looking For Relevant Bachelor’s or Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understanding of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and interpret results) and Python/ More ❯

bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or R for data wrangling, modeling More ❯

automation, data integrity and data integration. Create, implement, and support credit risk quantitative models leveraging mathematical and computer science methods and tools including Python , SQL, PowerBI, mathematical finance, and statistics and probability Maintain clear and coherent communication, both verbal and written, to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. More ❯

mentor junior data scientists & apprentices Help building a culture of responsible AI, good governance, and ethics Qualifications & Skills MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science. At least 2-5 years of industry experience with developing machine learning models and creating software pipelines More ❯

If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record More ❯

If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record More ❯

If You Have: 4+ years as a Data Scientist in commercial or R&D environments. PhD or MSc or equivalent experience in a relevant field (Machine Learning, Computer Science, Statistics). Experience applying statistical and machine learning models to real-world problems with measurable results. Leadership experience within a high-performing team, including mentorship and management readiness. Proven track record More ❯

set and continuously seek to learn and improve. Ideally, you bring strong programming skills and can rapidly learn new programming languages. You may come from a background in mathematics, statistics, analytics, computer science, engineering, or a related field, but we don't expect everyone to fit a single profile. We value diversity of thought and experience and offer development support More ❯

and international conferences. Essential Skills: MSc and/or Ph.D. or equivalent experience in a relevant quantitative discipline (e.g., Computer Science, Computational Biology, Genetics, Bioinformatics, Physics, Engineering, or Applied Statistics/Mathematics) Proven experience using advanced statistical techniques, machine learning, and modern deep learning techniques. Previous ML work experience in scientific/academic environment (RA/Internships are considered as More ❯

Experiences by Cultivating Trust. Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise. Essential qualifications: Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related quantitative field Hands-on (academic/commercial) experience in implementing Reinforcement Learning (or a related displicine). Please note: We use the term Reinforcement Learning as an More ❯

at national and international conferences. MSc and/or Ph.D. or equivalent experience in a relevant quantitative discipline (e.g., Computer Science, Computational Biology, Genetics, Bioinformatics, Physics, Engineering, or Applied Statistics/Mathematics) Proven experience using advanced statistical techniques, machine learning, and modern deep learning techniques. Previous ML work experience in scientific/academic environment (RA/Internships are considered as More ❯

Show a desire to learn and develop core analytical skills Understand your strengths and weaknesses and train accordingly YOUR SKILLS AND EXPERIENCE Bachelor’s Degree in a quantitative subject (Statistics, Mathematics, Economics) or Social Sciences, with heavy emphasis on quantitative methods; Master’s degree or PHD is a plus. Degree will not be required with appropriate work experience. More ❯

ata Scientist - Permanent Role Location: York or Manchester Type: Permanent Reporting to: Head of Data Science A leading financial services company is seeking a talented Data Scientist to join their innovative technology team, driving impactful solutions that shape the business More ❯

ata Scientist - Permanent Role Location: York or Manchester Type: Permanent Reporting to: Head of Data Science A leading financial services company is seeking a talented Data Scientist to join their innovative technology team, driving impactful solutions that shape the business More ❯

AI Labs has offices in New York, Palo Alto, Edinburgh, Atlanta and Seattle. The team has several Stanford professors as senior advisors with world-class expertise in machine learning, statistics, optimization and stochastic control. These advisors include AI Labs co-head Stephen Boyd (Samsung Professor of Engineering at Stanford), Emmanuel Candes, Trevor Hastie, and Mykel Kochenderfer who dedicate time in … academics, engineers, and investment professionals to develop methodologies for products solving a corporate-wide set of client, investor, and operational problems. Products developed often use multiple subject areas, including statistics, artificial intelligence, machine learning, and optimization, and combine original methods with pioneering solutions available in industry and academia. You will be responsible for the entire research lifecycle, from initial research … compliance with firm-wide processes. • Produce technical white papers and make clear technical presentations to senior management. Qualifications • Either a PhD in a quantitative subject area (computer science, mathematics, statistics, economics, physics, engineering, or related field) with 3+ years of professional experience or • An MS degree in a quantitative field plus 5+ years of professional experience in optimization, machine learning More ❯

offer tangible benefits. To Be Successful In The Role, You'll Need 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Previous experience of working on industrial grade recommendation systems and ideally familiarity with offline evaluation techniques. Awareness of current ML techniques, keen on self-improvement … findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. Desired Qualifications Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location More ❯

visualisations and self-service reporting to support business functions - Act as a thought leader to promote a data-driven culture within the organisation Essential Criteria - Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative discipline - 7+ years of experience with advanced SQL (Snowflake, BigQuery, Redshift, Oracle, PostgreSQL, MSSQL, etc.) - 5+ years of experience with reporting/visualization More ❯

full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency in programming languages such as Python , R or Scala. Experience with infrastructure technologies (e.g. More ❯

is a role that values curiosity, innovation, and is bridging academic with financial insight. What experience you’ll need to apply: A PhD in a quantitative discipline (e.g. mathematics, statistics, computer science, engineering, or physics), completed within the last two years Strong programming skills in Python or a similar language Experience with machine learning, NLP, or statistical modelling A genuine More ❯

bioinformatics, biostatistics, or a related field. 3+ years of professional experience in biotech, pharma, or academia focusing on life science projects (ideally oncology drug discovery). Strong foundation in statistics, data analysis and machine learning. Experience working with high-dimensional biological datasets (e.g., transcriptomics, proteomics, genomics, imaging data). Proficient in Python and/or R for data wrangling, modeling More ❯

problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or More ❯

problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor’s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master’s Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or More ❯