1 to 25 of 141 Statistics Jobs with Hybrid or WFH Options

Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's or Ph.D. in a quantitative field such as Computer Science, Statistics or related disciplines. Package Description Everyday our colleagues deliver exceptional experiences to our customers. We believe exceptional workdeserves even more exceptional rewards, that's why more »

Contribute to the company’s knowledge base through publications, presentations, and participation in industry events. Experience required: Master’s or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related field. 5+ years of experience in data science or a related field, preferably in the fintech industry. Proven track more »

with relevant teams to resolve them, ensuring accuracy and reliability of data Ideal Skills, Knowledge and Experience: • A relevant professional qualification in Data Science, Statistics, Mathematics, or a related field is desirable • Proven experience working as a Data Analyst or in a similar role Skillset: • Strong analytical skills with the more »

Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning more »

data methodologies, driving innovation and staying ahead of industry trend, (e.g. predictive analytics). Technical Skills Degree in Business Information Systems or Mathematics/Statistics/Physics/Economics or Engineering or any other hard science degrees ; Strong knowledge of Microsoft Office package (Excel, Word and Power Point) and analysis more »

A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related fields Relevant industry experience, including demonstrable experience of delivering solutions, including machine learning, digital products, and working with large scale data Desirable more »

By supporting sales leadership with strategic initiatives and projects to optimize sales performance Required Experience: Bachelor's degree in a numeric field (e.g., Mathematics, Statistics, Economics) required; advanced degree preferred Strong experience in a similar analytical role within a demanding environment Proficiency in BI and Data Science tools such as more »

management. Foster a collaborative and inclusive work environment that encourages innovation, knowledge sharing and continuous improvement. Background Skills & Experience A degree in data science, statistics, mathematics, economics, or a related field is preferred. Proven experience implementing and using data modelling tools. Proven experience in data analysis and data management. Proven more »

digital marketing analytics, preferably in a fast-growing B2B tech/SaaS business. Bachelor's or Master’s degree in data analytics, marketing analytics, statistics, or a related field. Strong proficiency with marketing analytics tools such as Google Analytics 4, Campaign Manager, Facebook Ads Manager, LinkedIn Ads Manager, and digital more »

and non-technical stakeholders. Proven track record of driving business results through data-driven decision-making Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) Benefits : Pension Office has a good vibe and good communication, growing all the time. Holiday entitlement - 25 days plus public/ more »

Python), Excel (advanced), Qlik Sense or Power BI gained in an analytics role. Strong verbal and written communication skills, translating detailed reporting outputs and statistics into executive-level reports and presentations and articulating their implications for business decisions. Exposure to using operational MI to achieve business targets and improve performance more »

you have a drive to learn and continually develop your skills and abilities • Degree or work experience in a numerate or analytical subject (Mathematics, Statistics, Computer Science, Economics, Physics, Engineering, Accounting, Finance or similar) desirable • Comfortable identifying and raising issues, particularly where driving good outcomes for customers are concerned Additional more »

detail.An understanding of the cryptocurrency ecosystem and financial markets is highly advantageous.Nice-to-HavesA BA/BS or MA/MS degree in Mathematics, Statistics, Computer Science, Data Science, or a related field.Familiarity with data tools like Druid, Hadoop, Airflow, and Superset is beneficial.Experience with Tableau is a plusStrong communication more »

working closely with credit analysts, data scientists, senior management, and other stakeholders. What We’re Looking For: A strong Mathematical background in Maths, Physics, Statistics, Computer Science, or a related field. Excellent ability to analyze and interpret data to support decision-making. A team player with a balance of confidence more »

lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team more »

lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team more »

lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team more »

lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team more »

lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team more »

lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team more »

lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team more »

lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team more »

lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team more »

lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team more »

lead and conduct research projects 2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms Demonstrated proficiency working with business and technical teams to integrate algorithms into product platforms on large datasets Ability to gather cross-team more »