Senior Data Scientist (Trust and Safety) (Match Group Americas, LLC (f/k/a Match LLC), Dallas, TX) - Hyperconnect
Dallas, TX 75201
About the Job
Dallas, TexasMatch Group – Safety /Full-time /RemoteServe as the Subject Matter Expert for various teams to provide support for A/B test design and analysis, as well as data-driven insights through ad-hoc analyses, presentations, and automated reports and dashboards
Mentor junior data scientists on customer behavior and business performance
Oversee junior data scientist in the building of models to better understand the value and churn behavior of our users
Evaluate data patterns and communicate insights and opportunities with executives and other internal teams to reshape our current understanding of customer behavior using advanced analytical technique
Perform ongoing and ad-hoc analyses to evaluate A/B tests, build reporting infrastructure, and provide analytics insights to optimize on app’s Trust and Safety environment and authentication funnels
Oversee the Integration of captured event data with other sources of customer data, including surveys, ad publishers, and app store data
Use strong communication skills (verbal and written) to manage the support of reporting and business intelligence needs for Product, Marketing, Engineering, and Finance teams
Position allows telecommuting from anywhere in the U.S
Salary: $159,000 - $190,000 per year.Minimum Requirements: Bachelor’s degree or U.S
equivalent in Computer Science, Data Science, Business Analytics, Quantitative Methods, Operations Research, Statistics, Economics, or a related field plus 5 years of professional experience as Data Scientist, Data Analyst or any occupation/position/job title involving data wrangling services
In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or U.S
equivalent Computer Science, Data Science, Business Analytics, Quantitative Methods, Operations Research, Statistics, Economics, or a related field plus 3 years of professional experience as Data Scientist, Data Analyst or any occupation/position/job title involving data wrangling services
Must also have the following: 3 years of professional experience providing data wrangling services to make data consumable for downstream purposes (including applications or analytics) to interpret themes from quantitative and qualitative data to deliver data-driven insights to optimize growth;3 years of professional experience scripting using programming languages (including Python, NumPy, or PANDAS); 3 years of professional experience using structured query language (SQL); 3 years of professional experience with Microsoft Excel and Microsoft PowerPoint to create presentations, and automated reports and dashboards; 3 years professional experience with various machine learning/statistical modeling data analysis tools and techniques (including sklearn, tensorflow, or keras), and parameters that affect their performance; 2 years of professional experience working with Product, Marketing, and Engineering teams; 1 year of professional experience using experimentation on Trust and Safety identity features; 1 year of professional experience working with common KPIs, metrics, and Trust and Safety experiments; 1 year of professional experience with A/B test design and analysis for software systems or applications; and 1 year of professional experience using statistical methods for experimental design and analysis.Please send resume to:
Please specify ad code CNLL.$159,000 - $190,000 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered.#LI-DNI
Mentor junior data scientists on customer behavior and business performance
Oversee junior data scientist in the building of models to better understand the value and churn behavior of our users
Evaluate data patterns and communicate insights and opportunities with executives and other internal teams to reshape our current understanding of customer behavior using advanced analytical technique
Perform ongoing and ad-hoc analyses to evaluate A/B tests, build reporting infrastructure, and provide analytics insights to optimize on app’s Trust and Safety environment and authentication funnels
Oversee the Integration of captured event data with other sources of customer data, including surveys, ad publishers, and app store data
Use strong communication skills (verbal and written) to manage the support of reporting and business intelligence needs for Product, Marketing, Engineering, and Finance teams
Position allows telecommuting from anywhere in the U.S
Salary: $159,000 - $190,000 per year.Minimum Requirements: Bachelor’s degree or U.S
equivalent in Computer Science, Data Science, Business Analytics, Quantitative Methods, Operations Research, Statistics, Economics, or a related field plus 5 years of professional experience as Data Scientist, Data Analyst or any occupation/position/job title involving data wrangling services
In lieu of a Bachelor's degree plus 5 years of experience, the employer will accept a Master’s degree or U.S
equivalent Computer Science, Data Science, Business Analytics, Quantitative Methods, Operations Research, Statistics, Economics, or a related field plus 3 years of professional experience as Data Scientist, Data Analyst or any occupation/position/job title involving data wrangling services
Must also have the following: 3 years of professional experience providing data wrangling services to make data consumable for downstream purposes (including applications or analytics) to interpret themes from quantitative and qualitative data to deliver data-driven insights to optimize growth;3 years of professional experience scripting using programming languages (including Python, NumPy, or PANDAS); 3 years of professional experience using structured query language (SQL); 3 years of professional experience with Microsoft Excel and Microsoft PowerPoint to create presentations, and automated reports and dashboards; 3 years professional experience with various machine learning/statistical modeling data analysis tools and techniques (including sklearn, tensorflow, or keras), and parameters that affect their performance; 2 years of professional experience working with Product, Marketing, and Engineering teams; 1 year of professional experience using experimentation on Trust and Safety identity features; 1 year of professional experience working with common KPIs, metrics, and Trust and Safety experiments; 1 year of professional experience with A/B test design and analysis for software systems or applications; and 1 year of professional experience using statistical methods for experimental design and analysis.Please send resume to:
Lauren.Lozano@Match.com
Please specify ad code CNLL.$159,000 - $190,000 a yearFactors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered.#LI-DNI
Source : Hyperconnect