Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, "It Starts with a Swipe"™" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Analytics team powers data-informed decision-making at Tinder. We are seeking a passionate and motivated Data Scientist to join our growing Analytics team. In this role you will partner with Revenue, Product, Marketing, Engineering, and Finance to accelerate improvements to our platform. The ideal candidate is both passionate about the intersection of online dating and economics and comfortable digging deep into financial data to uncover trends and patterns. This role will operate under the Revenue branch of Tinder and will focus on data related to finance, pricing, and paid-feature conversion. What You'll Do: <li>Digest large, complex transaction datasets into distilled analytics that help the business identify new opportunities. </li> <li>Quickly investigate KPI movements in an evolving global dataset, disentangling correlation and causation to communicate resolutions efficiently. </li> <li>Collaborate closely with strategy and finance teams to study worldwide online dating trends and provide detailed market research to guide pricing decisions. </li><li>Drive ownership of your own projects while balancing speed of execution and business value. </li><li>Be an authority on where and how to organize our data and readily share insights with data scientists, product managers, and finance leaders, as well as at a company level. </li><li>Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting. </li> About You: <li>Bachelor's degree in a quantitative field, Master's degree, or PhD with an economics, statistics, or similar quantitative field preferred. 1-2 years of professional working experience in Data Science and/or analytics preferred. </li> <li>New graduates are encouraged to apply. </li><li>Skilled in SQL and a deep understanding of statistical modeling, causal inference, and experimentation. </li><li>Experience with Python/R and visualization tools like Tableau or Mode is a plus. </li><li>Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data. </li><li>Eagerness to identify and explore new product opportunities, member insights, and potential improvements to our data infrastructure. </li><li>Curiosity of how things work from a business, member, and technical perspective.A desire to collaborate and work with other data scientists and cross-functional teams. </li><li>Experience working on data related to finance and/or subscription business models is a plus</li> $ 96000- $120000 a year Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations, may influence the base pay offered. This salary range reflects a position based in San Francisco and Palo Alto. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder

Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, "It Starts with a Swipe"™" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team or Role: The Analytics team powers data-informed decision-making at Tinder, and we are hiring a Senior Data Scientist to join our growing team. We are looking for creative, tenacious problem solvers who are passionate about our product and excited to work with our rich, sophisticated data. As a Senior Data Scientist in Analytics, you will collaborate with Product, Engineering, and Design teams, playing a pivotal role in shaping Tinder's core products and recommendation algorithms. You will maximize a comprehensive dataset of user behaviors to develop experiments, forecasting models, automated reports, and various exploratory insights to guide our business decisions. You will also be a leader on the Analytics team, mentoring more junior data scientists, driving Analytics-led projects, and pushing the team to improve their knowledge and toolset. An effective Senior Data Scientist at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. You must also distinguish yourself as a leader, both on the Analytics team and across the company. In this role, your insights will influence the performance of our business, the experience of our users, and the direction of analytics at Tinder. What You'll Do: <li>Be a leader with a point of view for the organization and the team, using data to constantly challenge and reshape our understanding of customer behavior and business performance.</li><li>Derive and communicate data-driven recommendations regarding both the prioritization of potential product/marketing initiatives and the performance of current initiatives.</li><li>Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollup tables, dashboards, and automated reporting.</li><li>Design and analyze experiments to rigorously test specific hypotheses.</li><li>Find the "story" in the data and share insights across the organization.</li><li>Be a mentor/advisor for other Data Scientists on the Analytics team.</li> What you'll need:<li>Bachelor's degree in a quantitative field (e.g., Economics, Computer Science, Statistics), Master's degree, or PhD in social science preferred</li><li>4+ years of experience in data science or analytics</li><li>Ability to develop a nuanced business understanding, testable hypotheses, and meaningful findings from data</li><li>Eagerness to identify and explore new product/marketing opportunities, potential improvements to our data infrastructure, and unanswered questions about customer behavior</li><li>Outstanding written and verbal communication skills and a willingness to collaborate with business partners</li><li>Experienced with SQL and data visualization tools (e.g., Tableau or Mode)</li><li>Proficient in Python or R</li><li>Substantial experience with and understanding of A/B testing and advanced statistical techniques</li> $ 146000- $175000 a year Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations, may influence the base pay offered. This salary range reflects a position based in San Francisco and Palo Alto. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder

Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, "It Starts with a Swipe"™" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team or Role: The Analytics team powers data-informed decision-making at Tinder, and we are hiring a Senior Data Scientist to join our growing team. We are looking for creative, tenacious problem solvers who are passionate about our product and excited to work with our rich, sophisticated data. As a Senior Data Scientist in Analytics, you will collaborate with Product, Engineering, and Design teams, playing a pivotal role in shaping Tinder's core products and recommendation algorithms. You will maximize a comprehensive dataset of user behaviors to develop experiments, forecasting models, automated reports, and various exploratory insights to guide our business decisions. You will also be a leader on the Analytics team, mentoring more junior data scientists, driving Analytics-led projects, and pushing the team to improve their knowledge and toolset. An effective Senior Data Scientist at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. You must also distinguish yourself as a leader, both on the Analytics team and across the company. In this role, your insights will influence the performance of our business, the experience of our users, and the direction of analytics at Tinder. What You'll Do: <li>Be a leader with a point of view for the organization and the team, using data to constantly challenge and reshape our understanding of customer behavior and business performance. </li><li>Derive and communicate data-driven recommendations regarding both the prioritization of potential product/marketing initiatives and the performance of current initiatives. </li><li>Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollup tables, dashboards, and automated reporting. </li><li>Design and analyze experiments to rigorously test specific hypotheses. </li><li>Find the "story" in the data and share insights across the organization. </li><li>Be a mentor/advisor for other Data Scientists on the Analytics team. </li> What you'll need: <li>Bachelor's degree in a quantitative field (e.g., Economics, Computer Science, Statistics), Master's degree, or PhD in social science preferred </li><li>4+ years of experience in data science or analytics </li><li>Ability to develop a nuanced business understanding, testable hypotheses, and meaningful findings from data </li><li>Eagerness to identify and explore new product/marketing opportunities, potential improvements to our data infrastructure, and unanswered questions about customer behavior </li><li>Outstanding written and verbal communication skills and a willingness to collaborate with business partners </li><li>Experienced with SQL and data visualization tools (e.g., Tableau or Mode) </li><li>Proficient in Python or R </li><li>Substantial experience with and understanding of A/B testing and advanced statistical techniques</li> $ 146000- $175000 a year Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations, may influence the base pay offered. This salary range reflects a position based in San Francisco and Palo Alto. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly. #Tinder

Our MissionLaunched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe.”Our ValuesOne Team, One DreamWe work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.Own ItWe take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.Never Stop LearningWe cultivate a culture where it’s safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.Spark SolutionsWe’re problem solvers, focusing on how to best move forward when faced with obstacles. We don’t dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.Embrace Our DifferencesWe are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.Data Science - Product Analytics, RecommendationsThe Core Data Science team seeks a passionate Data Scientist with a talent for transforming complex problems into actionable hypotheses that can be addressed through rigorous data analysis and A/B testing. In this role, you’ll collaborate closely with the Recommendations team to refine Tinder’s recommendation algorithms and lead initiatives that enhance member engagement and drive revenue growth. We’re looking for innovative, resourceful problem solvers who are deeply invested in our product and excited by the opportunity to work with extensive, sophisticated datasets. As a Data Scientist focused on Analytics, you will work cross-functionally with Product, Marketing, Engineering, and Finance teams to elevate our platform. You will leverage comprehensive user behavior data to design experiments, build forecasting models, create automated reports, and deliver impactful insights to inform strategic business decisions.Where you’ll work: This position is in San Francisco, CA, Palo Alto, CA, or Los Angeles.What You'll Do:<ul><li>Drive rigorous testing to validate hypotheses and guide business decisions.</li><li>Find the “story” in the data and readily share insights with product, engineering, and design as well as at a company level.</li><li>Be an authority with a point of view for the organization, using data to constantly challenge and reshape our current understanding of customer behavior and business performance.</li><li>Derive and communicate data-driven recommendations regarding both the prioritization of potential product/marketing initiatives and the performance of current initiatives.</li><li>Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting.</li></ul>What you’ll need:<ul><li>Bachelor’s degree in a quantitative field (e.g. Economics, Computer Science, Statistics); Master’s degree or PhD preferred.</li><li>2-4 years of professional working experience in Data Science and/or analytics.</li><li>Experience with SQL, data visualization tools (e.g., Tableau or Mode), and A/B testing is required.</li><li>Familiarity with Python/R, using descriptive and inferential statistics and machine learning models.</li><li>Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data.</li><li>Ability to present data, actionable insights, technical concepts, and approaches to technical and non-technical audiences.</li></ul>Differentiators:<ul><li>Eagerness to identify and explore new product/marketing opportunities, potential improvements to our data infrastructure, and unanswered questions about customer behavior.</li><li>Curious about how things work, from both a business and technical perspective.</li><li>Proactive collaborator skilled in engaging with cross-functional teams (Product, Engineering, Machine Learning) to influence decision-making.</li><li>Ability to prioritize time across multiple projects and communicate timelines.</li></ul>As part of the team, you'll enjoy:<ul><li>Unlimited PTO (with no waiting period), 10 annual Wellness Days, time off to volunteer, and charitable donations matched up to $15,000 annually.</li><li>Comprehensive health, vision, and dental coverage.</li><li>100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP).</li><li>100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation.</li><li>Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development.</li><li>Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy.</li><li>Free subscription to Tinder Gold.</li></ul>Salary: $135,000 - $155,000 a year. Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations, may influence the base pay offered. This salary range reflects a position based in San Francisco and Palo Alto. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.Commitment to InclusionAt Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences.If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.#Tinder
#J-18808-Ljbffr

Job Description Data is vital to advance clinical knowledge across a spectrum of medical and surgical fields. Are you ready to transform data discoveries into valuable information, which will empower tomorrow's medicine? Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team! To learn more about the department - Hung Research Lab | Cedars-Sinai The Research Data Scientist participates in biomedical research projects using programming, data-mining, statistics, machine learning, and visualization techniques to develop, evaluate, and/or apply algorithms and software for data analysis. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments. Primary Duties and Responsibilities •Assists with the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data. •Assists with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications. •Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL). •Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices. •Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods. •Works with senior or lead data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions. •Tests and validates code to ensure robustness of data applications with version control through GitHub. •Performs all other duties as assigned. Qualifications Bachelor's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline required. Master's Degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline preferred. Experience: 2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data. 2 years - Experience in programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable. 2 years - Experience in programming at a basic to intermediate proficiency level in SQL preferred Experience in biomedical machine learning is preferred Physical Demands: Standing, Walking, Sitting, Lifting 50 lbs. Carrying 50 lbs. Pushing 50 lbs. Pulling 50 lbs. Reaching, Handling, Grasping, Feeling, Talking, Hearing, Repetitive Motions, Eye/Hand/Foot Coordination

Our Mission Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, "It Starts with a Swipe"™" Our Values One Team, One Dream We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission. Own It We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence. Never Stop Learning We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving. Spark Solutions We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals. Embrace Our Differences We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team. The Team or Role: The Analytics team powers data-informed decision-making at Tinder, and we are hiring a Senior Data Scientist to join our growing team. We are looking for creative, tenacious problem solvers who are passionate about our product and excited to work with our rich, sophisticated data. As a Senior Data Scientist in Analytics, you will collaborate with Product, Engineering, and Design teams, playing a pivotal role in shaping Tinder's core products and recommendation algorithms. You will maximize a comprehensive dataset of user behaviors to develop experiments, forecasting models, automated reports, and various exploratory insights to guide our business decisions. You will also be a leader on the Analytics team, mentoring more junior data scientists, driving Analytics-led projects, and pushing the team to improve their knowledge and toolset. An effective Senior Data Scientist at Tinder must have a passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing. You must be able to disseminate findings and recommendations to a variety of partners across the organization via presentations, reports, and dashboards. You must also distinguish yourself as a leader, both on the Analytics team and across the company. In this role, your insights will influence the performance of our business, the experience of our users, and the direction of analytics at Tinder. What You'll Do: <li>Be a leader with a point of view for the organization and the team, using data to constantly challenge and reshape our understanding of customer behavior and business performance. </li><li>Derive and communicate data-driven recommendations regarding both the prioritization of potential product/marketing initiatives and the performance of current initiatives. </li><li>Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollup tables, dashboards, and automated reporting. </li><li>Design and analyze experiments to rigorously test specific hypotheses. </li><li>Find the "story" in the data and share insights across the organization. </li><li>Be a mentor/advisor for other Data Scientists on the Analytics team. </li> What you'll need: <li>Bachelor's degree in a quantitative field (e.g., Economics, Computer Science, Statistics), Master's degree, or PhD in social science preferred </li><li>4+ years of experience in data science or analytics </li><li>Ability to develop a nuanced business understanding, testable hypotheses, and meaningful findings from data </li><li>Eagerness to identify and explore new product/marketing opportunities, potential improvements to our data infrastructure, and unanswered questions about customer behavior </li><li>Outstanding written and verbal communication skills and a willingness to collaborate with business partners </li><li>Experienced with SQL and data visualization tools (e.g., Tableau or Mode) </li><li>Proficient in Python or R </li><li>Substantial experience with and understanding of A/B testing and advanced statistical techniques</li> $ 146000- $175000 a year Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations, may influence the base pay offered. This salary range reflects a position based in San Francisco and Palo Alto. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Commitment to Inclusion At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.

Data Scientist Jobs in West Hollywood, CA

Data Scientist I Revenue
December 19, 2024

Sr Data Scientist Product Analytics
December 19, 2024

Sr Data Scientist Product Analytics
December 18, 2024

Data Scientist Ii Product Analytics Recommendations
December 11, 2024

Urology Research Data Scientist Hung Lab
December 8, 2024

Senior Data Scientist Product Analytics
December 4, 2024

Senior Data Scientist Product Analytics
December 4, 2024

Data Scientist I Revenue
December 4, 2024

Quick filters

Top companies

Data Scientist Jobs in West Hollywood, CA

Data Scientist I RevenueDecember 19, 2024

Sr Data Scientist Product AnalyticsDecember 19, 2024

Sr Data Scientist Product AnalyticsDecember 18, 2024

Data Scientist Ii Product Analytics RecommendationsDecember 11, 2024

Urology Research Data Scientist Hung LabDecember 8, 2024

Senior Data Scientist Product AnalyticsDecember 4, 2024

Senior Data Scientist Product AnalyticsDecember 4, 2024

Data Scientist I RevenueDecember 4, 2024

Quick filters

Top companies

Data Scientist I Revenue
December 19, 2024

Sr Data Scientist Product Analytics
December 19, 2024

Sr Data Scientist Product Analytics
December 18, 2024

Data Scientist Ii Product Analytics Recommendations
December 11, 2024

Urology Research Data Scientist Hung Lab
December 8, 2024

Senior Data Scientist Product Analytics
December 4, 2024

Senior Data Scientist Product Analytics
December 4, 2024

Data Scientist I Revenue
December 4, 2024