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.
Senior Analyst, Data Science - Temporary Worker
- Pay
$45.61–61/hour — pay source
Familiarity with geo experiments, brand lift studies, survey analysis, or marketing mix modeling. The hourly pay range for this position is ($45.61 - $61.00). The hourly pay rate for the successful candidate is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Temporary employees are eligible for paid holidays in accordance with dentsu policy, as well as safe and sick time. This position is not eligible for any other benefits or other compensation. To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.
Read the full posting- Work setting
- Not stated
- Employment
Full-time · Temporary — employment source
Time Type: Full time Contract Type:
Contract Type: Temporary Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingFor this role, we are looking for a Senior Analyst who is deeply experienced in the application of advanced statistical and data engineering methodologies in both theory and practice for a variety of customer analytics applications.
Location: San Francisco/Bay Area or New York
Design, run and analyze A/B tests, holdout tests, geo experiments and brand lift studies
Own campaign measurement from pre-launch planning through post-campaign evaluation
Build scalable models, dashboards, reporting tools and measurement infrastructure
Turn findings into campaign, media and investment recommendations for leadership
Integrate survey, sentiment and behavioral data into audience insights
From the employer’s posting
For this role, we are looking for a Senior Analyst who is deeply experienced in the application of advanced statistical and data engineering methodologies in both theory and practice for a variety of customer analytics applications. Candidates should be intellectually curious and pragmatic self-starters who possess demonstrable experience leading projects through to completion.
Location: San Francisco/Bay Area or New York
Design, execute, and analyze A/B tests, holdout tests, geo experiments, and brand lift studies
Own campaign measurement from pre-launch planning through in-flight monitoring and post-campaign evaluation
Develop scalable models, dashboards, reporting tools, AI-enabled automations, and measurement infrastructure
Translate findings into recommendations on campaign strategy, media optimization, and investment
Integrate consumer sentiment, survey responses, and behavioral data to develop audience insights
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, or Data Science, or equivalent practical experience.
- 3+ years of experience in data science, analytics, or a related quantitative role.
- Proficiency in Python or R, with experience using relevant analytical and visualization libraries.
- Python examples include pandas, NumPy, statsmodels, scikit-learn, and Matplotlib.
- Strong knowledge of statistical methods, including regression, hypothesis testing, experimental design, and causal inference, with hands-on experience designing and analyzing A/B tests and measuring marketing impact.
- Experience building and maintaining data pipelines and analytical datasets using SQL and Python, including data integration, transformation, validation, and automated reporting.
Preferred experience
- Familiarity with geo experiments, brand lift studies, survey analysis, or marketing mix modeling.
Qualification wording
Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, or Data Science, or equivalent practical experience.
3+ years of experience in data science, analytics, or a related quantitative role.
Proficiency in Python or R, with experience using relevant analytical and visualization libraries. Python examples include pandas, NumPy, statsmodels, scikit-learn, and Matplotlib.
Strong knowledge of statistical methods, including regression, hypothesis testing, experimental design, and causal inference, with hands-on experience designing and analyzing A/B tests and measuring marketing impact.
Experience building and maintaining data pipelines and analytical datasets using SQL and Python, including data integration, transformation, validation, and automated reporting.
Familiarity with geo experiments, brand lift studies, survey analysis, or marketing mix modeling.
Education & alternatives
Requirements - Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, or Data Science, or equivalent practical experience. - 3+ years of experience in data science, analytics, or a related quantitative role.
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 28, 20267 days ago
- Recorded sightings
- 11
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 7
Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
Dentsu Group is hiring
35 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down at a usual pace
See how this role fits your experience
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.
- Python
- R
- SQL
- Matplotlib
- NumPy
- pandas
- scikit-learn
Where the posting names them
- Advanced SQL skills and experience querying, analyzing, and validating large datasets. - Proficiency in Python or R, with experience using relevant analytical and visualization libraries. Python examples include pandas, NumPy, statsmodels, scikit-learn, and Matplotlib. - Strong knowledge of statistical methods, including regression, hypothesis testing, experimental design, and causal inference, with hands-on experience designing and analyzing A/B tests and measuring marketing impact.
- Strong knowledge of statistical methods, including regression, hypothesis testing, experimental design, and causal inference, with hands-on experience designing and analyzing A/B tests and measuring marketing impact. - Experience building and maintaining data pipelines and analytical datasets using SQL and Python, including data integration, transformation, validation, and automated reporting. - Demonstrated ability to independently manage cross-functional stakeholder relationships, communicate progress and risks proactively, and translate complex findings into clear recommendations for non-technical audiences and leadership.
- 3+ years of experience in data science, analytics, or a related quantitative role. - Advanced SQL skills and experience querying, analyzing, and validating large datasets. - Proficiency in Python or R, with experience using relevant analytical and visualization libraries. Python examples include pandas, NumPy, statsmodels, scikit-learn, and Matplotlib.
Your next step
Complete your application on dentsuaegis.wd3.myworkdayjobs.com. The employer’s form will show what is required.
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Already applied? Track this application
About the role
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.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Job Description:
About the Team:
The primary focus of dentsu’s Data Science team is to devise robust yet simple, actionable solutions to drive our clients’ business goals. Our clients see us as trusted advisors and depend on our subject matter expertise to enhance decision-making through our constantly evolving customer analytics capabilities.
About the Role:
For this role, we are looking for a Senior Analyst who is deeply experienced in the application of advanced statistical and data engineering methodologies in both theory and practice for a variety of customer analytics applications. Candidates should be intellectually curious and pragmatic self-starters who possess demonstrable experience leading projects through to completion.
Location: San Francisco/Bay Area or New York
Work Arrangement: Hybrid - 3 days in-office
Start Date: ASAP
Duration: ~12 months
Responsibilities
- Define marketing goals, success metrics, learning agendas, and measurement strategies that translate business questions into clear analysis plans.
- Own campaign measurement from pre-launch planning through in-flight monitoring and post-campaign evaluation, proactively identifying performance issues and recommending optimizations.
- Design, execute, and analyze A/B tests, holdout tests, geo experiments, and brand lift studies, including hypothesis development, success metrics, sample-size and power calculations, test validation, and actionable recommendations.
- Integrate consumer sentiment, survey responses, and behavioral data to develop audience insights that inform targeting and messaging.
- Translate findings into recommendations on campaign strategy, media optimization, and investment; guide stakeholders in interpreting results and applying insights to business decisions.
- Develop scalable models, dashboards, reporting tools, AI-enabled automations, and measurement infrastructure that support multiple campaigns and evolving business needs.
- Drive analytical tool development from scoping and brainstorming through prototyping and deployment.
- Partner with marketing, media, research, growth, product, and data engineering teams to prioritize opportunities, align delivery plans, and present recommendations to leadership.
- Lead focused research and knowledge-sharing initiatives, evaluating new methodologies and tools that improve analytical quality, efficiency, and marketing effectiveness.
Requirements
- Bachelor's degree in a quantitative field, such as Statistics, Mathematics, Computer Science, or Data Science, or equivalent practical experience.
- 3+ years of experience in data science, analytics, or a related quantitative role.
- Advanced SQL skills and experience querying, analyzing, and validating large datasets.
- Proficiency in Python or R, with experience using relevant analytical and visualization libraries. Python examples include pandas, NumPy, statsmodels, scikit-learn, and Matplotlib.
- Strong knowledge of statistical methods, including regression, hypothesis testing, experimental design, and causal inference, with hands-on experience designing and analyzing A/B tests and measuring marketing impact.
- Experience building and maintaining data pipelines and analytical datasets using SQL and Python, including data integration, transformation, validation, and automated reporting.
- Demonstrated ability to independently manage cross-functional stakeholder relationships, communicate progress and risks proactively, and translate complex findings into clear recommendations for non-technical audiences and leadership.
- Experience using AI tools such as Claude to support coding, analysis, automation, and analytical tool development, with careful validation of generated outputs.
Preferred Qualifications
- Familiarity with geo experiments, brand lift studies, survey analysis, or marketing mix modeling.
The hourly pay range for this position is ($45.61 - $61.00). The hourly pay rate for the successful candidate is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Temporary employees are eligible for paid holidays in accordance with dentsu policy, as well as safe and sick time. This position is not eligible for any other benefits or other compensation.
To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.
Location:
New YorkBrand:
UgamTime Type:
Full timeContract Type:
TemporaryDentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to ApplicantAccommodations@dentsu.com by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Familiarity with geo experiments, brand lift studies, survey analysis, or marketing mix modeling. The hourly pay range for this position is ($45.61 - $61.00). The hourly pay rate for the successful candidate is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Temporary employees are eligible for paid holidays in accordance with dentsu policy, as well as safe and sick time. This position is not eligible for any other benefits or other compensation. To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.
- Location & working pattern
New York
Location: San Francisco/Bay Area or New York Work Arrangement: Hybrid - 3 days in-office Start Date: ASAP
- Work authorization
Temporary Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to ApplicantAccommodations@dentsu.com by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.