1 to 25 of 502 Remote Statistics Jobs

machine learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience in Databricks and its ecosystem (Spark, Delta Lake, MLflow, etc.). Strong proficiency in Python and R for More ❯

machine learning, big data technologies, and cloud computing to continuously improve our solutions. Qualifications: Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related fields. Proven experience in Databricks and its ecosystem (Spark, Delta Lake, MLflow, etc.). Strong proficiency in Python and R for More ❯

to optimise processes, identify business opportunities, and deliver actionable recommendations to clients. You Will Need: Bachelor’s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. More ❯

to optimise processes, identify business opportunities, and deliver actionable recommendations to clients. You Will Need: Bachelor’s degree in a quantitative field : Preferably in Statistics, Mathematics, Economics, Computer Science, or a related discipline. Experience with data analysis tools : Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting. More ❯

clients and do so through thoughtfulness, prioritization, and seeing a solution through from brainstorming to deployment. Core Qualifications: Master's degree or higher in Statistics, Economics, Computer Science, Engineering, Mathematics or equivalent experience 3-5 years of practical machine learning experience Experience in programming in Python Experience building machine learning More ❯

of supply chain measures for business use. Key Skills/Experience A bachelor's degree in a related field (e.g., Data Analytics, Data Science, Statistics, Mathematics, Business, Economics) is required. 3-5 years of experience in data analysis or a related field, preferably within a retail business environment. Strong proficiency More ❯

comprehensive listing of required activities, duties, or responsibilities. What you'll need Bachelor's or master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field. One (1) year of professional experience. Demonstrated performance in roles focused on AI, machine learning, and advanced analytics. Professional services experience More ❯

to-date with developments in the energy sector, environmental policies, and emerging trends in data analytics. Required Qualifications & Skills: A degree in Data Science, Statistics, Environmental Science, Engineering, or a related field. Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data More ❯

need the ability to collaborate effectively with colleagues from various disciplines. Educationally , a Bachelor's degree (or higher) in Data Science, Computer Science, Mathematics, Statistics, Engineering, or Operational Research is preferred. However, practical experience in data science roles may be considered in lieu of formal education. With 2+ years of More ❯

scalable data solutions across teams. What you bring to Takeda: Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or equivalent experience in data analytics. Proficiency in data analysis tools and programming languages (e.g., SQL for querying databases, Python for statistical analysis and More ❯

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 field. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in office) Employee discounts and More ❯

databases. Stay updated on emerging trends and technologies in data analysis. Improve data collection and analysis processes. Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proficiency in statistical analysis and data visualization tools. Strong SQL skills and experience with relational databases. Knowledge of More ❯

the business to drive data-led decision-making. What We're Looking For: 3+ years of experience in data analytics. Degree in Computer Science, Statistics, Mathematics, or a related field. Proficiency in data visualisation tools (Power BI, Tableau, etc.). Experience in SQL and ERP systems. Strong financial modelling and More ❯

LLMs in data workflows. Strong stakeholder management and communication skills, translating complex findings into actionable insights. Degree in a numerate or statistical discipline (Mathematics, Statistics, Data Science, Computer Science, etc.). The benefits. Be part of an exciting data transformation programme, helping shape a cloud-first analytics ecosystem. Work with More ❯

clients Lead the development of company best practices around data analytics, dashboarding, and reporting Minimum Qualifications: Bachelor's degree in business, Computer Science, Mathematics, Statistics, Engineering or other related field or equivalent work experience Job-related experience (e.g. data analytics and modeling), 8 years, OR Master's Degree and job More ❯

cost-effective resource (savings) acquisition Conduct trend and sensitivity analyses Coach, mentor, and train others as needed Qualifications Minimum: Bachelor's degree in Economics, Statistics, Mathematics, Business, Finance, Sociology, Policy, Engineering, Physics or other related fields 8 years of job-related experience Highly Desired: Worked at top-tier management consulting More ❯

AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks More ❯

strategies to improve business performance. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as More ❯

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 field. Benefits: Competitive salary and performance bonuses Flexible working options, including hybrid remote work (2 days in office) Employee discounts and More ❯

strategies to improve business performance. Present findings and recommendations to stakeholders in a clear and concise manner. Qualifications: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Proven experience as a Data Analyst or in a similar role. Proficiency in data analysis tools such as More ❯

with advancements in AI, ML, and fintech applications, applying them to real-world financial problems. Skills & Experience Required An Undergraduate & Masters STEM degree (Mathematics, Statistics, Computer Science, Engineering, or related field) from a Russell Group university . Proficiency in Python and SQL for data manipulation, analysis, and model development. Solid More ❯

with advancements in AI, ML, and fintech applications, applying them to real-world financial problems. Skills & Experience Required An Undergraduate & Masters STEM degree (Mathematics, Statistics, Computer Science, Engineering, or related field) from a Russell Group university . Proficiency in Python and SQL for data manipulation, analysis, and model development. Solid More ❯

tools (e.g., Tableau, Power BI, Excel) and advanced analytics tools (e.g., SQL, Python, R) Have a degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science, Business Analytics, Economics) What we offer Our roles offer more than just a job, you'll become part of the William Hill More ❯

actionable formats to NIPO leadership. Required Experience: • U.S. Citizen with an active DOD Secret security clearance. • Bachelor's degree in Computer Science, Data Analytics, Statistics, or related discipline. Minimum 8 years of applicable experience, including 5+ years in SharePoint development. Candidates with 10+ years of relevant experience may be considered More ❯

and drive operational improvements. What We're Looking For Relevant Bachelor's or Master's degree in any of the following fields: computer science, statistics, mathematics, physical sciences with strong understanding of data analytics. Proficiency in SQL (to feel comfortable manipulating data, creating scripts that combine different data sources and More ❯