Causal Inference Data Jobs

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Today

Data Scientist III, Rapid & Rural Logistics (R2L) Science & AI

Amazon.com Services LLC New York, NY

New York, NY

Today

$159k - $237k/yr Full time Amazon Quicksight Analytics Business Analytics

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Job Description

Based onsite in New York, NY, this Data Scientist III role supports Amazon's Rapid & Rural Logistics (R2L) Science & AI with data-driven insights, ML models, and causal inference to inform the team charter and enable cross-functional impact.

Responsibilities

Shape and refine the team's data science charter.
Explore data assets and identify opportunities to delight customers through data-driven insights and machine learning models.
Provide rapid analytics support to multiple stakeholders across business and technical domains.
Proactively identify high-potential opportunities using data-driven insights and apply various machine learning techniques and causal inference methods to develop solutions.
Dive deeply into data and deliver timely analyses with clear findings and actionable recommendations.
Balance uncertainty with delivering customer-focused results when opportunities may be uncertain.

Requirements

5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.).
4+ years of hands-on data science experience.
Experience with statistical models, including multinomial logistic regression.

Technologies

SQL
Python
R
SAS
Matlab
AWS QuickSight
Tableau
R Shiny

Benefits

Medical, dental, and vision coverage
Maternity and parental leave options
Paid time off
401(k) plan with company matching
Health insurance (medical, dental, vision, prescription)
Basic Life and AD&D insurance
Supplemental life plans
Employee Assistance Program (EAP)
Mental health support
Medical Advice Line
Flexible Spending Accounts
Adoption and surrogacy reimbursement coverage

Preferred Qualifications

2+ years of data visualization experience using AWS QuickSight, Tableau, R Shiny, or similar tools
Experience managing data pipelines
Experience as a leader and mentor on a data science team

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Today

Data Scientist

Amazon.com Services LLC Seattle, WA

Seattle, WA

Today

$136k - $213k/yr Full time Marketing Ai Ml Analyst

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Job Description

Onsite in Seattle, WA, this Data Scientist role on Amazon Music's DISCO M&G team centers on building models and data products that power customer identity, acquisition, and retention. You will collaborate with Marketing, Growth, Product, and Engineering to design experiments and measure impact that informs business decisions. A Master’s degree and at least two years of data science experience are required, with a salary range of USD 136,000 to 212,800 per year.

Responsibilities

Lead the research and development of models and science products that enable identity, acquisition, and retention strategies for Amazon Music.
Collaborate with Marketing and Growth leadership to craft science-driven growth plans, including subscriber segmentation, lifecycle programs, and upsell initiatives.
Develop predictive models such as propensity, uplift, and causal inference to support targeted marketing, quantify incremental impact, and automate deep-dive analyses into key metric variances.
Work with product, engineering, and marketing teams to assess the impact of growth campaigns, features, and algorithmic interventions through rigorous experimentation.
Interpret experiment results and deliver data-driven recommendations to optimize subscriber acquisition and retention outcomes.
Partner with Senior Data Scientists and Product Managers to define, propose, and validate success and guardrail metrics for identity and growth programs.
Educate marketing and growth teams on analytics, measurement frameworks, and experimentation best practices to foster evidence-based decision making.

Requirements

At least two years of data science experience.
Three or more years of experience with data querying languages (SQL), scripting languages (Python), or statistical/mathematical software (R, SAS, Matlab, etc.).
Three or more years applying machine learning or statistical modeling techniques and evaluating their performance parameters.
At least one year of experience with or evaluating AI systems.
Experience translating theoretical models into practical, applied contexts.
Education: Bachelor's degree with five or more years of relevant experience or Master's degree with two or more years of relevant experience.

Technologies

SQL
Python
R
SAS
Matlab
Perl

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)

About the team

The DISCO team accelerates Amazon Music's customer growth by equipping product teams with data and insights to make customer-centric decisions. We build data pipelines, self-service analytics, and predictive models that enable acquisition, engagement, and retention at scale, delivering personalized experiences across touchpoints.

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