Direct analytical initiatives, leveraging data, statistical modeling, and machine learning to drive process improvements and decision-making.
Work closely with cross-functional teams—including software engineers, data analysts, and product leaders—to implement business solutions.
Lead discussions, present findings, and make recommendations to colleagues and management.
Mercury Insurance has been helping people reduce risk and overcome unexpected events for more than 60 years. They believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.
Contributes to the overall product evolution strategy and roadmap.
Leads the design, rating, and development of new and enhanced products.
Identifies business opportunities through data analysis and market research.
Mercury Insurance has been dedicated to helping people reduce risk and overcome unexpected events for more than 60 years. They are one team that embraces diverse perspectives and reward their talented professionals with a competitive salary, bonus potential, and a variety of benefits.
Collaborate on product and business problems with cross-functional partners.
Apply technical expertise with quantitative analysis and experimentation.
Identify and measure the success of product efforts.
At Atlassian, they’re motivated by a common goal: to unleash the potential of every team. Their software products help teams all over the planet, and their solutions are designed for all types of work.
Extract insights from data and deliver a ML project from beginning to end.
Develop machine learning algorithms with huge data sets to solve challenging business questions.
Discover new data sources and create new input features for ML models.
Experian is a global company providing data services. They help organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they are dedicated to innovation and prioritize inclusive culture, employee well-being, and career development.
Develop machine learning algorithms with huge data sets.
Improve performances of existing algorithms.
Discover new data sources and create new input features for ML models.
Experian is a global data services company that helps organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they specialize in data gathering, analysis, and fraud prevention.
Conduct complex analytic studies using statistical techniques on healthcare data.
Present findings through charts, tables, and graphs for easy interpretation.
Create and maintain efficient statistical and analytic code using tools such as Python, SAS, Stata, R.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Analyze user behavior, marketplace dynamics, and service provider performance to identify growth opportunities and areas for improvement.
Develop predictive models to enhance marketplace matching (e.g., home repair service providers to customers), pricing optimization, and user retention strategies.
Work cross-functionally to provide data-driven insights for feature enhancements, platform updates, and A/B testing initiatives.
Angi connects homeowners with reliable pros who have the skills they need, and connects pros with homeowners who have the jobs they want. Angi has 2,800 employees worldwide and is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit.
Develop SQL queries to analyze and interpret data for relevant insights.
Design and present Tableau dashboards to communicate business insights.
Collaborate with teams to conduct ad hoc research, impact analysis, and validate issue resolutions.
Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they specialize in data gathering, analysis, and fraud prevention.
Write DBT SQL pipelines to automate and manage data assets in Snowflake for our product partners.
Conduct statistical analysis of product usage and engagement data using Python/R with Hex.tech.
Use Sigma Computing to find insights in our customer journey and conduct business enhancing analytical projects.
Vanta helps businesses earn and prove trust by making security continuous and easily verifiable. They have a kind and talented team and thousands of companies rely on them in a way that's real-time and transparent.
Design, develop, and optimize data pipelines and ETL processes to ensure high-quality data is available for analysis.
Analyze complex datasets to identify trends, patterns, and actionable insights that drive business performance.
Implement data quality checks and governance best practices to ensure data accuracy and reliability.
Modeling Data Solutions is seeking an experienced data analytics engineer to join its personal lines property team. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs.
Conduct complex analytic studies using statistical techniques on healthcare data.
Present statistical and analytic findings in various formats for easy interpretation.
Create and maintain efficient statistical and analytic code using tools like Python, SAS, and R.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Contribute to software systems used by millions of low-income Americans
Drive change through impactful data analysis and investigations
Maintain reliable data pipelines to ensure trustworthy data
Propel builds technology that strengthens the social safety net. They are a passionate team of ~100 Propellers who envision a future where every American has the tools and resources they need to thrive, and is a for-profit, venture-backed company that holds its social mission at its core.
Leverage experimentation and advanced data analytics to derive insights.
Dissect complex data and translate it into actionable strategies to help optimize credit underwriting
Play a pivotal role in underwriting cost saving, managing risk and improving the profitability
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm is proud to be a remote-first company, and we offer competitive benefits that are anchored to our core value of people come first.
Engineer and validate consumer-level attributes from credit bureau and alternative data sources.
Apply statistical techniques to uncover insights and improve predictiveness.
Monitor attribute performance for stability, compliance, and accuracy.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries, investing in people and new advanced technologies to unlock the power of data.
Partner with Marketing teams to analyze and optimize the full customer funnel.
Build and maintain statistical models and analyses related to key marketing use cases.
Design, analyze, and interpret experiments across marketing channels and on-site experiences.
Hone is an online medical clinic transforming healthcare and enhancing longevity by using scientific advancements. They empower men and women to take control of their health. Hone is a fully virtual, remote-first employer that values its employees.
Investigate performance, trends, forecasts and bugs, reporting back with recommendations.
Collaborate with product and development teams to translate requirements into data needs.
Act as the primary data contact, gathering requirements and communicating progress.
Forbes Advisor's mission is to help readers turn their aspirations into reality by providing trusted advice and guidance. They are an experienced team of industry experts with decades of experience across various teams and geographies.
Define measurement standards and reporting processes.
Jobgether is a company that uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Lead data science initiatives by analyzing complex datasets to uncover insights.
Design, develop, and deploy predictive and prescriptive models using machine learning.
Collaborate with business stakeholders to define project objectives and communicate results effectively.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates to share them directly with the hiring company.