Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
New York, New York
Live, first seen by us 53 days agoAbility to prioritize time across multiple projects and communicate timelines The salary range for this position is $130,000 - $160,000. Factors 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. This salary range is reflective of a position based in Los Angeles, CA OR New York, NY. 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. Salary
Salary 130,000 – 160,000 USD per year Why Match Group?Read the full posting
Where you’ll work: This is a hybrid role and requires in-office collaboration three days per week. This position is located in NYC or Los Angeles. In this role, you will:Read the full posting
Analyze marketing and business performance and the impact of marketing spend
Design and analyze A/B tests and geo experiments
Build marketing measurement models to guide investment and strategy
Turn findings into stories and recommendations for executives and teams
Build reports, dashboards, and budgeting recommendations
Master and be responsible for analyzing marketing and business performance.
Experience designing, executing, and measuring geo experiments and causal inference techniques
Build models better to understand the impact of our marketing investments and strategy
Find the “story” in the data and communicate insights and opportunities with executives and other internal teams.
Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, build reporting infrastructure, and assist in making budgeting recommendations to optimize growth.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 53
Similar jobs usually come down between day 7 and day 56.
At Match Group, jobs usually come down by about day 43.
From 10,207 similar postings that came down, and 15 of Match Group’s. Coming down is not always a hire.
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Our analytics team serves the entire MG portfolio, acting as a center of excellence to standardize how we measure marketing performance across all our global brands, including industry leading names like Tinder and Hinge. We develop a deep understanding of the business and its data and establish close working relationships with all teams including Product, Marketing, Engineering, and Finance, so that we can provide recommendations and make proposals regarding prioritization of initiatives, marketing investments, A/B tests, and company performance. As a data scientist in this role, you will partner with Marketing teams at each of our BUs, providing support through advanced marketing measurement techniques, A/B test design and analysis, and data-driven insights through ad-hoc analyses, presentations, and automated reports and dashboards. This role will require extensive experience with SQL, data wrangling, statistics, econometric modeling, and A/B testing, as well as the ability to work in cross-functional teams to drive actionable insights. Experience with user growth and acquisition across multi-brand consumer products is a plus. Where you’ll work:
- Ability to execute complex analytics projects where you have to determine salient questions in a complex ecosystem and present action-oriented conclusions - Proficiency with SQL required - Scripting skills, preferably in Python.
- Knowledge of statistics, specifically experimental design and analysis - Proficiency in Microsoft Excel and Microsoft PowerPoint (or equivalents) - Familiarity with common marketing KPIs, metrics, and growth experiments
- Proficiency with SQL required - Scripting skills, preferably in Python. - Knowledge of statistics, specifically experimental design and analysis
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Match Group’s Analytics Team is looking for a Data Scientist II with expertise in Marketing Analytics.
Our analytics team serves the entire MG portfolio, acting as a center of excellence to standardize how we measure marketing performance across all our global brands, including industry leading names like Tinder and Hinge. We develop a deep understanding of the business and its data and establish close working relationships with all teams including Product, Marketing, Engineering, and Finance, so that we can provide recommendations and make proposals regarding prioritization of initiatives, marketing investments, A/B tests, and company performance.
As a data scientist in this role, you will partner with Marketing teams at each of our BUs, providing support through advanced marketing measurement techniques, A/B test design and analysis, and data-driven insights through ad-hoc analyses, presentations, and automated reports and dashboards. This role will require extensive experience with SQL, data wrangling, statistics, econometric modeling, and A/B testing, as well as the ability to work in cross-functional teams to drive actionable insights. Experience with user growth and acquisition across multi-brand consumer products is a plus.
Where you’ll work:
This is a hybrid role and requires in-office collaboration three days per week. This position is located in NYC or Los Angeles.
Master and be responsible for analyzing marketing and business performance.
Build models better to understand the impact of our marketing investments and strategy
Find the “story” in the data and communicate insights and opportunities with executives and other internal teams.
Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, build reporting infrastructure, and assist in making budgeting recommendations to optimize growth.
Integrate captured event data with other customer data sources, such as surveys, ad publishers, and app store data.
Support reporting and business intelligence needs of the entire Marketing team.
3+ years of relevant experience in analytics or data science
Experience building bayesian regressions and/or other marketing measurement techniques
Experience designing, executing, and measuring geo experiments and causal inference techniques
Ability to think objectively and interpret meaningful themes from quantitative and qualitative data
Ability to build constructive and effective relationships with a broad and diverse group of business partners
Ability to execute complex analytics projects where you have to determine salient questions in a complex ecosystem and present action-oriented conclusions
Proficiency with SQL required
Scripting skills, preferably in Python.
Knowledge of statistics, specifically experimental design and analysis
Proficiency in Microsoft Excel and Microsoft PowerPoint (or equivalents)
Familiarity with common marketing KPIs, metrics, and growth experiments
Curiosity about how things work, from both a business and technical perspective, leading to the identification and exploration of new strategic opportunities, potential improvements to our data infrastructure, and deepening our understanding of member behavior.
Proactive collaborator skilled in engaging with cross-functional teams (Marketing, Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives
Ability to prioritize time across multiple projects and communicate timelines
130,000 – 160,000 USD per year
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Ability to prioritize time across multiple projects and communicate timelines The salary range for this position is $130,000 - $160,000. Factors 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. This salary range is reflective of a position based in Los Angeles, CA OR New York, NY. 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. Salary
Salary 130,000 – 160,000 USD per year Why Match Group?
New York, New York
Where you’ll work: This is a hybrid role and requires in-office collaboration three days per week. This position is located in NYC or Los Angeles. In this role, you will:
No clear work-authorization passage found. Eligibility is unconfirmed.