Senior Analyst, Data Science - Temporary Worker

Dentsu International Americas

New York (NY)

Hybrid

USD 63,000 - 84,000

Full time

3 days ago
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Benefits offered by this job

Paid holidays
Sick time
Temporary contract

Job summary

Dentsu International Americas seeks a Senior Analyst to apply advanced statistical and data engineering methods to customer analytics. Lead analyses end-to-end, design experiments, and translate findings into actionable business recommendations.

Location options include San Francisco Bay Area or New York with a Hybrid arrangement (3 days in-office). ASAP start for approximately 12 months; strong SQL, Python or R, and data-pipeline experience required.

Qualifications

  • Bachelor's degree in a quantitative field or equivalent practical experience.
  • 3+ years in data science, analytics or related field.
  • Advanced SQL skills and experience querying large datasets.
  • Proficiency in Python or R with relevant libraries.
  • Strong statistics knowledge including regression, hypothesis testing, and experimental design.
  • Experience building data pipelines and automated reporting with SQL and Python.
  • Ability to translate complex findings for non-technical leadership and stakeholders.
  • Experience using AI tools to support coding, analysis and automation with validation.

Responsibilities

  • Define marketing goals, metrics, and measurement strategies.
  • Own campaign measurement from pre-launch to post-campaign evaluation.
  • Design and analyze A/B tests, holdout tests, geo experiments, and brand lift studies.
  • Integrate consumer sentiment, survey responses, and behavioral data for audience insights.
  • Translate findings into recommendations for campaign strategy and investment.
  • Develop scalable models, dashboards, and automation to support multiple campaigns.
  • Drive analytical tool development from scoping to deployment.
  • Collaborate with marketing, media, research, growth, product, and data teams to align delivery.

Skills

Advanced SQL
Python or R
A/B testing
Data pipelines
Cross-functional collaboration
Results communication
AI tools Claude

Education

Bachelor's degree in Statistics/Math/CS/Data Science

Tools

pandas
NumPy
statsmodels
scikit-learn
Matplotlib
Claude

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.
Compensation & Benefits

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.

Additional Information
  • Location: New York
  • Brand: Ugam
  • Time Type: Full time
  • Contract Type: Temporary
Equal Employment Opportunity

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

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