Senior Analyst, Data Science - Temporary Worker

dentsu

San Francisco (CA)

Hybrid

USD 63,000 - 84,000

Full time

5 days ago
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Job summary

Dentsu’s Data Science team seeks a Senior Analyst experienced in advanced statistical methods and data engineering to lead analytics for marketing and customer insights across campaigns. This role is based in San Francisco Bay Area or New York with a hybrid work pattern and ASAP start for ~12 months.

You will collaborate with marketing, media, research, growth, product, and data engineering teams to define goals, own measurement, design experiments, and translate findings into actionable

Qualifications

  • Bachelor’s degree in a quantitative field or equivalent practical experience.
  • 3+ years of experience in data science, analytics, or related role.
  • Advanced SQL skills and experience querying large datasets.
  • Python or R with relevant libraries (pandas, NumPy, statsmodels, scikit-learn, Matplotlib).

Responsibilities

  • Define marketing goals, success metrics, learning agendas, and measurement strategies that translate business questions into analysis plans.
  • Own campaign measurement from pre-launch planning through in-flight monitoring and post-campaign evaluation; identify performance issues and optimize.
  • Design, execute, and analyze A/B tests, holdout tests, geo experiments, and brand lift studies with hypothesis development and sample-size calculations.
  • Integrate sentiment, survey, and behavioral data to develop audience insights for targeting and messaging.
  • Translate findings into recommendations on campaign strategy, media optimization, and investment for leadership.
  • Develop scalable models, dashboards, reporting tools, AI-enabled automations, and measurement infrastructure for multiple campaigns.
  • Drive analytical tool development from scoping to deployment.
  • Collaborate with marketing, media, research, growth, product, and data engineering to align delivery and present recommendations.
  • Lead research and knowledge-sharing to improve analytical quality and marketing effectiveness.

Skills

Advanced SQL
Python or R
Statistical methods
A/B testing design

Education

Bachelor’s degree in a quantitative field

Tools

SQL
Python
R
Claude AI

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.

Location:

New York

Brand:

Ugam

Time Type:

Full time

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.

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 usknow the nature of your accommodation request and your contact information.

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