26 to 50 of 1,292 Statistics Jobs

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

architecture and AI technologies. Performs other duties as assigned. Complies with all policies and standards. Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science). Requires 5 - 7 years of related experience. Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of More ❯

tools to support business growth. Skills and Experience Education and Certifications A third-level degree, with a strong academic record in a quantitative field of study (e.g., Data Science, Statistics, Mathematics, Computer Science). Minimum of 2 5 years of relevant experience in data analysis, business analysis, or technology consulting within financial services, ideally funds or asset management. Working knowledge More ❯

to learn something new. Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams. Facilitate embedding … and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science). Highly proficient in Microsoft Office tools including Excel and PowerPoint Proven experience with SQL Flexible and resilient to respond constructively to new … trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similar Desired Requirements Master's degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding More ❯

to learn something new. Responsibilities Include: Support with the development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Collaborate across the business to identify and define new data & reporting requirements with the aim of delivering value adding insight and consistency across the teams. Facilitate embedding … and keep up to date with trends, new technology and competitor advances. Qualifications/Requirements Bachelors degree from an accredited university of college, or equivalent knowledge and experience (Mathematics, Statistics, Operations Research and/or Data Science). Highly proficient in Microsoft Office tools including Excel and PowerPoint Proven experience with SQL Flexible and resilient to respond constructively to new … trends and market patterns using data visualization & analytics tool such as TIBCO Spotfire, Tableau, PowerBI or similar Desired Requirements Master's degree in any discipline (Business, Data Science, Mathematics, Statistics, Operations Research or related field) preferred Proven experience working on OR problems in industrial manufacturing companies Proven experience in simulation modelling Familiar with machine learning concepts, methods, and tools Understanding More ❯

decisions You're required to have this: Active Top Secret/SCI Security Clearance with polygraph Data Scientist 1 - Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of … years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Data Scientist 2 - Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university, eight (8) years of relevant experience analyzing datasets and developing analytics, and five (5) years of relevant experience More ❯

standard to help you gain the skills you need to complete the apprenticeship. Role Essential Criteria: Either a degree in a maths or science subject, or demonstrable experience in statistics, data and analysis You will have a good understanding of statistics, such as distributions, hypothesis testing and regression Experience of or a willingness to learn coding languages, particularly sql and More ❯

findings Collaborate with stakeholders to understand data availability and organizational needs Required Qualifications: Must hold an active Secret security clearance Master's degree in Data Science, Computer Science, Mathematics, Statistics, or related discipline (Bootcamps or certifications will be considered in conjunction with applicable degrees) A minimum of 3 years of experience working in data science or machine learning Strong skills More ❯

proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets and survey designs Experience or interest in AI and More ❯

proficiency in R (required) and working knowledge of Python (preferred). Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome. Proven ability to: Apply inferential statistics and econometric techniques Conduct regression modelling and data wrangling Apply machine learning methods (e.g. clustering, decision trees) Work with structured datasets and survey designs Experience or interest in AI and More ❯

Quick Sight, Tableau, Power BI or other BI packages - Fluency in SQL and ETL PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/ More ❯

applications. - Assist and enable federal customers to build their own applications. - Contribute to the design and implementation of new features. Qualifications: - Master's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields or Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields with one year of relevant work experience. - Excellent programming skills in Python. - Applied Machine … Learning experience (regression and classification, supervised, and unsupervised learning). - Strong mathematical background (linear algebra, calculus, probability, and statistics). - Experience with scalable ML (MapReduce, streaming). - Ability to drive a project and work both independently and in a team. - Smart, motivated, can-do attitude, and seeks to make a difference. - Excellent verbal and written communication. - Ability to obtain a … U.S. security clearance preferred. Nice to Have: - MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. - Real passion for developing team-oriented solutions to complex engineering problems. - Thrive in an autonomous, empowering and exciting environment. - Great verbal and written communication skills to collaborate multi-functionally and improve scalability. - Interest in committing to a fun, friendly, expansive, and More ❯

to the team's ability to innovate effectively and improve overall performance. Profil that matter most for this role: Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science) and relevant experience in quantitative analytics or statistics (e.g., from internships or part-time roles). Advanced skills in statistical modelling (R, Python) and experience with database More ❯

to the team's ability to innovate effectively and improve overall performance. Profil that matter most for this role: Master's degree or PhD in a quantitative field (e.g., Statistics, Mathematics, Computer Science) and relevant experience in quantitative analytics or statistics (e.g., from internships or part-time roles). Advanced skills in statistical modelling (R, Python) and experience with database More ❯

updated with the latest trends and advancements in data science and machine learning. Essential Requirements: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong understanding of data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. More ❯

updated with the latest trends and advancements in data science and machine learning. Essential Requirements: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Strong understanding of data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. More ❯

data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an applied environment. Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science. PREFERRED QUALIFICATIONS PhD in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or More ❯

you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Bachelor's degree in Engineering, Statistics, Computer Science, Mathematics, Economics, Data Science or related field. - 6+ years' hands-on analytics work experience, with proven quantitative orientation. - 3+ years' experience using business intelligence tools like Tableau, QuickSight … Ability to think big, understand business strategy, provide consultative business analysis, and leverage technical skills to create insightful BI solutions. PREFERRED QUALIFICATIONS - Master's degree in Data Science, Operations, Statistics from a premium institute, or MBA from premier business schools. - 4+ years' experience in Supply Chain Analytics, Data Science or related specialty. - Experience with AWS technologies like Redshift, S3, Lambda More ❯

communicate data findings to stakeholders • Stay current with emerging AI/ML technologies, tools, and research Required Qualifications: • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field (PhD preferred) • 3+ years of experience in AI/ML model development and data analytics • Strong programming skills in Python (preferred), R, or similar languages • Experience More ❯

DS3 labor category requirements. This position requires in-scope poly, within 7 years. Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data More ❯

goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive More ❯

goals. Visualise data insights: Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements : Bachelor’s degree in a STEM field: Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive More ❯

and non-technical audiences. • A proactive, detail-oriented mindset focused on data accuracy, problem-solving, and process improvement. • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. • Relevant certifications in Power BI, SQL Server, or data analytics tools. • Familiarity with government reporting processes or healthcare data analytics a plus. • This position does require More ❯