276 to 300 of 858 Permanent Statistics Jobs

new data sources and vendors; Collaborate with engineering and data sourcing teams to vet data vendors, ensure data integrity and quality; Requirements Bachelor's degree or higher in Mathematics, Statistics, Physics, Computer Science, or other STEM related field; Extensive experience working with large, unstructured datasets and ideating unique features; Knowledge of general finance and company fundamentals; 3+ years in a More ❯

TS/SCI security clearance required. Active TS/SCI w/CI Polygraph security clearance nice to have. • Bachelor's degree in Computer Science, Mathematics, Engineering, Physics, or Statistics • 5+ years of experience developing solutions, automating system deployments and administration, data integration, and management processes • 5+ years of Linux Administration and scripting, including Linux Namespaces or Control Groups • 3+ More ❯

Energy related studies more than 3 years of experience as a quantitative analyst in the energy business, preferably in a trading environment deep knowledge in at least three fields: Statistics, SDE development, Advanced Machine Learning, Monte-Carlo methods, LP/MIP optimization proficiency in Python, SQL and experienced with MS Azure framework strong problem-solving skills and ability to work 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 ❯

Energy related studies more than 3 years of experience as a quantitative analyst in the energy business, preferably in a trading environment deep knowledge in at least three fields: Statistics, SDE development, Advanced Machine Learning, Monte-Carlo methods, LP/MIP optimization proficiency in Python, SQL and experienced with MS Azure framework strong problem-solving skills and ability to work More ❯

Energy related studies more than 3 years of experience as a quantitative analyst in the energy business, preferably in a trading environment deep knowledge in at least three fields: Statistics, SDE development, Advanced Machine Learning, Monte-Carlo methods, LP/MIP optimization proficiency in Python, SQL and experienced with MS Azure framework strong problem-solving skills and ability to work 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 ❯

Energy related studies more than 3 years of experience as a quantitative analyst in the energy business, preferably in a trading environment deep knowledge in at least three fields: Statistics, SDE development, Advanced Machine Learning, Monte-Carlo methods, LP/MIP optimization proficiency in Python, SQL and experienced with MS Azure framework strong problem-solving skills and ability to work More ❯

comprehensive documentation for data models, calculation methodologies, and dashboard functionality to ensure knowledge transfer and sustainability. Knowledge, Skills, Experience & Qualifications : Undergraduate degree in Mathematics, Computer Science, Information Systems, Analytics, Statistics, or related quantitative field, or equivalent professional experience. 3-5 years of progressive experience in data analytics, preferably in HR analytics, workforce planning, or people-focused business intelligence. Advanced proficiency More ❯

architectural decisions and implementation of our market making platforms, both strategically and day to day. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering or computer science. Strong programming skills in an object oriented or functional paradigm such as C++, Java or Python. Self-starter with strong self-management skills, ability to manage More ❯

solutions Preferred Knowledge & Skills Bachelors Degree Required, ideally in Information Sciences or Business Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Hybrid working (2 days in London More ❯

cloud-based Knowledge of statistical and data science techniques (e.g., forecasting, regression, clustering) Experience with Data Visualization tools (Tableau preferred, Power BI, Looker) Degree in a numerate subject (Math, Statistics, Economics, etc.) 1-2 years' experience in a data analyst or similar role in a fast-paced environment Who We're Looking For: A commercially driven analyst passionate about business 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 ❯

lab scientists, biochemists and bioprocess engineers. The Senior Bioinformatics Engineer - Pipeline Automation & Tool Development will further drive and implement innovative solutions enhancing Lonza's capabilities in data science and statistics, with the goal to improve biomanufacturing of Biologics molecules. The role is also expected to manage collaborations and act as mentor for more junior team members. What you'll do 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 ❯

MySQL) and data visualization tools (Data Studio, Tableau). Python is a plus. Experience with big data sets (billions of rows) preferred. Advanced Microsoft Excel skills. Degree in Mathematics, Statistics, Economics, or Computer Science preferred. Strong organizational, communication, and time management skills. Ability to take initiative and manage projects independently. We welcome applications from candidates who meet most requirements and More ❯

for ad-hoc analyses and deep data dives. Maintain and track KPIs and metrics to measure business performance and drive process improvements. Qualifications: Bachelor's degree in Data Science, Statistics, Business, or a related field. At least 3 years of experience in data analysis, preferably in a technology or legal environment. Proficiency in SQL and experience with Power BI or More ❯

of users quickly and iteratively. Enjoy working in a fast-paced, design-driven, product development cycle. Embody our Culture and Values . Required Qualifications: Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Experience in More ❯

with data warehousing, process automation, and machine learning tools and techniques. Familiarity with model-driven apps and related technologies (e.g. JavaScript). Knowledge of SQL, Python, R, GIS packages, statistics, and cloud platforms such as Azure or AWS. Strong written and verbal communication skills, with a highly collaborative, customer-focused approach. Quick learner with the ability to adapt to technical More ❯

technology PREFERRED QUALIFICATIONS - Experience in influencing senior leadership through data driven insights - Experience working across functional teams and senior stakeholders - Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - MBA - Experience with either SQL or Python Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

stores, graph databases, column-family databases) - Experience providing technical leadership and mentoring other engineers for best practices on data engineering - Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers More ❯

The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics) Excellent communication skills, ideally with a proven track record of working directly with executive-level stakeholders to influence strategy. Expertise in causal inference methods and More ❯

modeling. Ensure data integrity, user adoption, and alignment with broader analytics and reporting frameworks. SKILLS You should have Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business, or a related field. 8+ years of experience in data and analytics roles, with at least 3 years in a leadership position. Proven track record of building and scaling More ❯

particularly in roles that bridge data, product, and customer experience. Background in consulting, strategy, or transformation programmes with a focus on data and measurement. A Background in behavioural science, statistics, or customer analytics. Familiarity withNext Best Action (NBA)ordecisioning platformsin a marketing or customer experience context. About working for us Our ambition is to be the leading UK business for More ❯

development of analytical products and dashboards with integration of internal and third-party data sources/APIs Contribute to cataloguing and documentation of data Bachelor's degree in mathematics, statistics, computer science or related field 2-5 years experience working in data engineering/analyst and related fields Advanced analytical framework and experience relating data insight with business problems and More ❯