76 to 100 of 2,710 Statistics Jobs

of machine learning/statistical modeling data analysis tools and techniques 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 ❯

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 ❯

of our businesses performance in a safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems to be solved. In return we offer an exemplary reward … and non-technical audiences Technical Skills & Experience Preferably educated to degree level in a relevant discipline or with equivalent relevant practical experience Demonstrable working knowledge of advanced analytic techniques (Statistics, Machine Learning, Deep Learning) and a demonstrable ability to evaluate and select the right approach for the nature of the problem to be solved Experience collecting, parsing, cleansing and analysing 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 ❯

devices and advise on the refinement of AI tools for data processing. Person specification Who are we looking for? Our Successful Candidate Will Have: A PhD in Data Science, Statistics, Machine Learning, Computer Science or a similar quantitative discipline or demonstrable equivalent professional experience Strong experience of using machine learning or data science to analyse and model large datasets. Experience … of working collaboratively within multidisciplinary data science teams and delivering results in a timely way. Demonstrable technical knowledge and skills in at least one of the following domains: statistics/mathematical statistics, machine learning, deep learning, natural language processing, Bayesian inference. If you would like to find out more about this fantastic opportunity, please read our Job Description and Person 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 ❯

in code review, experimentation and shaping our ways of working as you grow What you'll bring Recently completed (or soon to complete) Bachelor's or Master's in Statistics, Mathematics, Computer Science, Engineering, Physics, Economics or a related quantitative field Strong grounding in probability, statistics and machine learning fundamentals Working knowledge of Python (pandas, NumPy, scikit‐learn), and basic 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 ❯

Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM, supply chain). Familiarity with tools like dbt, Airflow, or MLflow. Master’s or PhD in Data Science, Statistics, Computer Science, or related fields. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in office) Employee discounts and wellness programs Training budget and More ❯

Remain abreast of the latest technologies and trends in artificial intelligence and machine learning. Required Qualifications: Bachelor’s degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering. 5+ years of experience in data science, with strong proficiency in writing scale and production-grade code in Python. Solid understanding and proficiency in working with Pandas More ❯

Remain abreast of the latest technologies and trends in artificial intelligence and machine learning. Required Qualifications: Bachelor’s degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering. 5+ years of experience in data science, with strong proficiency in writing scale and production-grade code in Python. Solid understanding and proficiency in working with Pandas More ❯

processes, and secure DevOps practices Contribute to system design and integration efforts with internal data systems What we're looking for Bachelor Degree in Mathematics/Data Science/Statistics/Computer Science or related studies 2 - 5 years of experience in Healthcare Analytics, with leadership experience will be advantageous Proficient in Python, R, SQL; experience with Databricks and AWS More ❯

matter expert on Machine Learning and AI for your project team, enabling effective project planning and performance Your profile: Degree in a quantitative field such as computer science, engineering, statistics, operational research, data science, or equivalent experience 2+ years of work experience in data science, in a commercial or consulting setting Experience with Machine Learning and statistical modeling techniques Strong More ❯

platforms such as Azure, (AWS or Google Cloud) Good knowledge of optimisation techniques and design patterns for large data solutions. Bachelor’s or master’s degree in data science, Statistics, Computer Science, or a related field is a plus What we'll offer in return In addition to a competitive salary, there are a number of benefits and perks we 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 ❯

analysis based on requests from the Sales, CSM or Contents team. Present results of various data analysis. Experience We Are Looking For Master’s degree or above in mathematics, statistics, or computer science. 3+ years applied experience in business intelligence, data mining, analytics, or statistical modeling in technology or mobile industries OR 2+ years applied experience in data science in More ❯

Intelligence (Data modelling, data warehousing, Dashboarding) SQL & Python AWS (S3, Lambda, Glue, Redshift) The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide the key insight into customer behavior necessary to guide the evolution of business strategy. If you are motivated to serve the needs of More ❯

of whether they meet all qualifications, to apply. While the following qualifications are relevant to our work, they are not strict requirements: BS or MS degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in machine learning, statistical modeling (5+ years) Proficiency in programming languages such as Python or R. Experience with SQL and working with More ❯

expert on Machine Learning and AI for your project team, enabling strong project planning and team performance Your profile: Degree in a quantitative field, such as computer science, engineering, statistics, operational research, data science, or equivalent experience 2+ years work experience in data science, working in a commercial setting or in consulting Experience with Machine Learning and statistical modelling techniques More ❯

tool (Metabase, Looker, Tableau, Power BI) Experience with Python or R for operational data analysis Deep familiarity with common business operations metrics Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, Mathematics) or equivalent experience Benefits Competitive base salary Stock options in a high-growth startup Private Health insurance Pension Seniority level Seniority level Not Applicable Employment type More ❯