1 to 25 of 133 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 »

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 »

experiential data for comprehensive insights. Profile Skills: Proficiency in Python and Microsoft Excel Experience with PowerBI, Anaplan or equivalent tools Strong analytical skills, including statistics, analysis and modelling techniques. Familiarity with HR systems, processes, KPIs and databases. Experience: Proven track record in data analysis and HR. Ability to drive best 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 »

experience required. - offering rapid growth and rewards based on ability, attitude and performance. Ideally, you will have graduated with a Bachelors degree in Mathematics, Statistics, Computer Science or a similar field with strong outcome (2:1 or above) Have acquired some underwriting-related experience - course work, CII certification, work experience more »

resident, citizen or Visa that allows you to work in the UK Degree educated with a quantitative focus (Economics, Computer Science, Operations Research, Math, Statistics) 5 years+ experience in a Business Analyst role Experience in using LEAN, AGILE and PRINCE2 methodologies Previous experience of delivering value from change management Experience more »

model to mitigate the risk Create and maintain a central repository of member insights, sharing key messages from the analysis Provide accurate insight and statistics for inclusion in reports and presentations Conduct regular reviews with the broader team to discuss insight requirements and needs Identify opportunities to improve the performance more »

offices in New York, Palo Alto, and Edinburgh. The team has several Stanford professors as senior advisors with world-class expertibahnse in machine learning, statistics, optimization and stochastic control. These advisors include Emanuel Candes, Trevor Hastie, Robert Tibshirani, and Mykel Kochenderfer who dedicate time in our Palo Alto office and 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 »