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Marketing jobs

33,286 marketing jobs

4 days ago

Senior Data Scientist - Media Data Science & Analytics

Microsoft

New York City, NY (Hybrid)Full time$120K/yr – $261K/yr

4 days ago

Senior Marketing and Communications Manager

Hiba Academy Bay Area

San Francisco, CA (On-site)Full time$140K/yr – $150K/yr

4 days ago

Senior Growth Strategist

Constellation Software, Inc.

New York City, NY (Hybrid)Full time$82K/yr – $92K/yr

4 days ago

Senior Digital Strategist, Contract

Clear Digital, Inc.

San Jose, CA (Remote)Contract$90/hr – $140/hr

4 days ago

VP of Marketing

Daisy

New York City, NY (On-site)Full time$200K/yr – $250K/yr

4 days ago

Senior Marketing Manager, Digital Brand Media (US Remote)

Fanatics Betting & Gaming

Denver, CO (Remote)Full time$133K/yr – $200K/yr

4 days ago

Customer Marketing Senior Associate

FanDuel

New York City, NY (Hybrid)Full time$86K/yr – $108K/yr

4 days ago

Senior Account Manager, TikTok Shop

Influencer

New York City, NY (Hybrid)Full time$85K/yr – $95K/yr

4 days ago

Account Director, Retail Media Paid Search

Harvest Group

USA (On-site)Full time$100K/yr – $125K/yr

4 days ago

Public Relations Account Director

Red Lorry Yellow Lorry

Boston, MA (Hybrid)Full time$95K/yr – $120K/yr

4 days ago

Paid Search Supervisor

Publicis Groupe Holdings B.V

Plano, TX (Hybrid)Full time$75K/yr – $108K/yr

4 days ago

Director, Marketing Strategy

TIAA

Chicago, IL (On-site)Full time$103K/yr – $150K/yr

4 days ago

Senior Associate, National Video Investment

Publicis Groupe Holdings B.V

Chicago, IL (On-site)Full time$50K/yr – $66K/yr

4 days ago

Marketing Project & Operations Lead

Mispro Biotech Services Corporation

South San Francisco, CA (Hybrid)Full time$85K/yr – $95K/yr

4 days ago

Associate Director, SEO

VaynerMedia

New York City, NY (Hybrid)Full time$105K/yr – $125K/yr

4 days ago

Senior Account Manager, Marketing

Agency Eight

New York City, NY (On-site)Full time$90K/yr – $110K/yr

4 days ago

Senior Copywriter

The Mx Group

Burr Ridge, IL (Hybrid)Contract$90K/yr – $105K/yr

4 days ago

Brand Manager (Hybrid)

Beauty Industry Group

Los Angeles, CA (Hybrid)Full time

4 days ago

Senior Marketing & Communications Manager

Thinkery

Austin, TX (On-site)Full time$60K/yr – $62K/yr

4 days ago

Head of Demand Engine

Asiam

San Francisco, CA (Hybrid)Full time$245K/yr – $275K/yr

All marketing roles in the US for senior level marketers

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All marketing roles in the US for senior level marketers

Get alerts for this search

10,000+ jobs

Senior Data Scientist - Media Data Science & Analytics

Microsoft

New York City, NY (Hybrid)

$120K/yr - $261K/yrIn-houseFull-timeSenior level

4 days ago

Senior Marketing and Communications Manager

Hiba Academy Bay Area

San Francisco, CA (On-site)

$140K/yr - $150K/yrIn-houseFull-timeSenior level8+ years exp.

4 days ago

Senior Growth Strategist

Constellation Software, Inc.

New York City, NY (Hybrid)

$82K/yr - $92K/yrIn-houseFull-timeSenior level3+ years exp.

4 days ago

Senior Digital Strategist, Contract

Clear Digital, Inc.

San Jose, CA (Remote)

$90/hr - $140/hrIn-houseContractSenior level5+ years exp.

4 days ago

VP of Marketing

Daisy

New York City, NY (On-site)

$200K/yr - $250K/yrIn-houseFull-timeSenior level15+ years exp.

4 days ago

Senior Marketing Manager, Digital Brand Media (US Remote)

Fanatics Betting & Gaming

Denver, CO (Remote)

$133K/yr - $200K/yrIn-houseFull-timeSenior level7+ years exp.

4 days ago

Customer Marketing Senior Associate

FanDuel

New York City, NY (Hybrid)

$86K/yr - $108K/yrIn-houseFull-timeSenior level3+ years exp.

4 days ago

Senior Account Manager, TikTok Shop

Influencer

New York City, NY (Hybrid)

$85K/yr - $95K/yrAgencyFull-timeSenior level5+ years exp.

4 days ago

Account Director, Retail Media Paid Search

Harvest Group

USA (On-site)

$100K/yr - $125K/yrIn-houseFull-timeSenior level

4 days ago

Public Relations Account Director

Red Lorry Yellow Lorry

Boston, MA (Hybrid)

$95K/yr - $120K/yrAgencyFull-timeSenior level2+ years exp.

4 days ago

Paid Search Supervisor

Publicis Groupe Holdings B.V

Plano, TX (Hybrid)

$75K/yr - $108K/yrAgencyFull-timeSenior level5+ years exp.

4 days ago

Director, Marketing Strategy

TIAA

Chicago, IL (On-site)

$103K/yr - $150K/yrIn-houseFull-timeSenior level5+ years exp.

4 days ago

Senior Associate, National Video Investment

Publicis Groupe Holdings B.V

Chicago, IL (On-site)

$50K/yr - $66K/yrAgencyFull-timeSenior level1+ years exp.

4 days ago

Marketing Project & Operations Lead

Mispro Biotech Services Corporation

South San Francisco, CA (Hybrid)

$85K/yr - $95K/yrIn-houseFull-timeSenior level5+ years exp.

4 days ago

Associate Director, SEO

VaynerMedia

New York City, NY (Hybrid)

$105K/yr - $125K/yrIn-houseFull-timeSenior level5+ years exp.

4 days ago

Senior Account Manager, Marketing

Agency Eight

New York City, NY (On-site)

$90K/yr - $110K/yrAgencyFull-timeSenior level4+ years exp.

4 days ago

Senior Copywriter

The Mx Group

Burr Ridge, IL (Hybrid)

$90K/yr - $105K/yrIn-houseContractSenior level5+ years exp.

4 days ago

Brand Manager (Hybrid)

Beauty Industry Group

Los Angeles, CA (Hybrid)

$98K/yr - $124K/yr (Est.)In-houseFull-timeSenior level5+ years exp.

4 days ago

Senior Marketing & Communications Manager

Thinkery

Austin, TX (On-site)

$60K/yr - $62K/yrIn-houseFull-timeSenior level5+ years exp.

4 days ago

Head of Demand Engine

Asiam

San Francisco, CA (Hybrid)

$245K/yr - $275K/yrIn-houseFull-timeSenior level

4 days ago

Microsoft

Senior Data Scientist - Media Data Science & Analytics

New York City, NY (Hybrid)

$120K/yr – $261K/yrSenior LevelFull time

Posted 4 days ago

Top 1% of applicants do these two things.

The other 99% submit and hope. You're about to do something different.

Job Summary

Own and drive causal measurement of media impact, turning complex analyses into clear, decision-focused guidance for senior partners, while advancing data-driven measurement practices across marketing.

Lead causal inference work to quantify incremental effects of media investments
Translate complex findings into actionable narratives for stakeholders
Advance measurement quality by challenging assumptions and promoting best practices

Job Description

Responsibilities

Causal Measurement & Business Impact
- Design and apply causal inference approaches (e.g., quasi-experimental methods, incrementality testing, observational analysis) to estimate the true impact of media investments in settings where randomized experiments may be limited or infeasible.
- Evaluate the effectiveness of marketing strategies while explicitly accounting for data limitations, confounding, selection bias, and uncertainty.
- Translate complex causal findings into clear, decision-oriented narratives for senior marketing and business stakeholders.
Modeling, Statistics & Analysis
- Apply advanced statistical techniques and machine learning where appropriate, with a bias toward interpretability and causal validity over purely predictive performance.
- Balance methodological rigor with pragmatism, selecting approaches that are fit for purpose given the data and business context.
- Write high-quality analytical code (Python, SQL) to support reproducible research, exploratory analysis, and ongoing measurement efforts.
- Identify opportunities to improve measurement approaches, challenge existing assumptions, and introduce best practices grounded in both academic research and industry experience.
Data Understanding & Stewardship

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Preferred

- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
- 5+ years’ experience building ML models.
- 5+ years’ experience writing SQL to analyze data.
- 5+ years’ experience writing code in Python.
- 3+ years’ communicating complex technical concepts to non-technical partner teams.
- 1+ years’ experience performing causal inference
- 1+ years’ experience with media / marketing data science

Microsoft

Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters. Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.

Founded in 1975

Redmond, Washington, US

237K employees (11,715 in marketing)

news.microsoft.com

Traffic Signals

Monthly Visitors

1.3B

Monthly Google Ads Budget

$5.2M

Traffic Source Mix

33.6%

Direct

56.9%

Referral

7.3%

Social

0.4%

Paid

1.2%

Headcount Trend

Current headcount: ~225.8K

Marketing Team

Marketing Team Size

6,377 (3% of company)

Median Career Experience

21 years

Median Tenure

14.3 years

Marketing Roles Posted (Last 30 Days)

People

Founders / CEO

Sue Henin

Founder-Business Strategy & Marketing Consulting Services

At the company for 20 years 6 months

Marketing Leadership

Takeshi Numoto

Executive Vice President and Chief Marketing Officer

At the company for 29 years

Liza Magee

Chief of Staff for the Consumer Chief Marketing Officer & Executive Vice President, Microsoft

At the company for 18 years 6 months

Paige Johnson (she/her)

Vice President, Education & Media Industry Marketing

At the company for 5 years 5 months

Matt Barlow

Corporate Vice President of Marketing, Windows and Surface Devices

At the company for 26 years 4 months

Funding

Total Funding

$1M

Last Raise

$1M

Post IPO Equity, 3 years ago

Funding History

Dec 2022
Post IPO Equity
Jan 2020
Post IPO Equity
Sep 1981
Series Unknown • $1M

Recent News

Microsoft Elevate Washington: World-class AI for every student and teacher, right here at home

Oct 9, 2025 • The Official Microsoft Blog

Disrupting threats targeting Microsoft Teams

Oct 7, 2025 • Microsoft

Meet Microsoft 365 Premium: Your AI and productivity powerhouse

Oct 1, 2025 • Microsoft

Responsibilities

Causal Measurement & Business Impact
- Design and apply causal inference approaches (e.g., quasi-experimental methods, incrementality testing, observational analysis) to estimate the true impact of media investments in settings where randomized experiments may be limited or infeasible.
- Evaluate the effectiveness of marketing strategies while explicitly accounting for data limitations, confounding, selection bias, and uncertainty.
- Translate complex causal findings into clear, decision-oriented narratives for senior marketing and business stakeholders.
Modeling, Statistics & Analysis
- Apply advanced statistical techniques and machine learning where appropriate, with a bias toward interpretability and causal validity over purely predictive performance.
- Balance methodological rigor with pragmatism, selecting approaches that are fit for purpose given the data and business context.
- Write high-quality analytical code (Python, SQL) to support reproducible research, exploratory analysis, and ongoing measurement efforts.
- Identify opportunities to improve measurement approaches, challenge existing assumptions, and introduce best practices grounded in both academic research and industry experience.
Data Understanding & Stewardship

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

Preferred

- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 6+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
- 5+ years’ experience building ML models.
- 5+ years’ experience writing SQL to analyze data.
- 5+ years’ experience writing code in Python.
- 3+ years’ communicating complex technical concepts to non-technical partner teams.
- 1+ years’ experience performing causal inference
- 1+ years’ experience with media / marketing data science