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AWM-Marcus by Goldman Sachs, Marketing Analytics, Associate/Analyst Richardson, TX,
Hdpc Fa Us2 Oraclecloud Com CX 3002 · Richardson, TX, United States · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Hdpc Fa Us2 Oraclecloud Com CX 3002 |
| Title | AWM-Marcus by Goldman Sachs, Marketing Analytics, Associate/Analyst Richardson, TX, |
| Normalized title | - |
| Department / team | Associate |
| Location | Richardson, TX, United States |
| Work model | - |
| Employment type | - |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-11 / 2026-06-11 |
| Changed / last seen | 2026-06-19 / 2026-06-21 |
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| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hdpc Fa Us2 Oraclecloud Com CX 3002. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Richardson. | Open |
| Department jobs | Active postings in Associate. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hdpc Fa Us2 Oraclecloud Com CX 3002 |
| Source | 6c2fc4b4-b977-4fca-ad16-3207bde507b7 |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Opportunity Overview
As a Marketing Analytics, Associate/Analyst within the Commercial Strategy team, you will sit at the intersection of data science and business growth. You will be responsible for deciphering complex consumer behaviors to optimize marketing spend, improve customer acquisition, and drive the long-term profitability of our digital banking products. This role requires a deep understanding of modern, privacy-centric measurement frameworks and the ability to translate technical findings into commercial strategies.
Asset & Wealth Management
The Asset & Wealth Management Division include Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) and Marcus Savings business (MS). We provide asset management, wealth management and banking expertise to consumers and institutions around the world. AWM partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives.
Marcus by Goldman Sachs
As the online consumer banking business of Goldman Sachs, Marcus operates as a digital bank, providing high-yield savings accounts and Certificates of Deposit (CDs) directly to individual consumers. Marcus combines Goldman Sachs' 150+ years of expertise with intuitive digital experiences, focusing on value, transparency, and simplicity for its millions of customers, and is recognized as the largest pure online bank, delivering a fully digital experience without physical branches.
Responsibilities:
Advanced Marketing Measurement & Attribution: Develop and maintain measurement frameworks to evaluate the effectiveness of multi-channel marketing campaigns (Search, Social, Display, Email, CTV, Audio/Radio). Join first-party customer data with event-level ad data for deep-dive attribution and audience analysis.
Privacy-First Identity Resolution: Utilize data clean rooms (e.g. Liveramp, Snowflake, InfoSum) to perform privacy-safe data collaboration and identity stitching across fragmented touchpoints.
Incrementality & Causal Analysis: Design and execute randomized controlled tests (RCTs) and geo-testing using frameworks like GeoLift to measure the true incremental impact of marketing investments.
Marketing Mix Modeling (MMM): Conduct Marketing Mix Modeling (MMM) using open-source libraries (e.g., Meta’s Robyn or Google’s LightweightMMM) to estimate marketing contribution and inform marketing budget planning and optimization.
Causal Inference: Apply advanced statistical techniques and Python libraries (e.g., EconML, CausalML) to move beyond correlation and understand the drivers of customer behavior.
Automated Reporting: Build and automate high-impact dashboards (e.g. Tableau, PowerBI) to provide real-time insights into marketing ROI, channel performance, campaign double-clicks/deep-dives, promotion effectiveness , and prospect/customer cohort analysis.
Cross-Functional Collaboration: Work closely with technology and modeling teams to evaluate new data sources and analytical tools, ensuring the marketing stack remains cutting-edge.
Growth Strategy & Optimization: Use data and statistical testing to identify opportunities for improving conversion rates across the customer acquisition funnel and optimizing Customer Acquisition Cost (CAC).
A/B Testing & Experimentation: Design, execute, and monitor "test and learn" strategies for marketing creative, landing pages, and promotional offers, ensuring results meet statistical significance.
Automated Dashboards: Build and automate high-impact visualizations in Tableau to provide real-time insights into marketing ROI and channel performance for senior leadership.
Cross-Functional Collaboration: Partner with the Modeling, Engineering, and Product teams to integrate new data sources and refine the marketing tech stack.
Qualifications:
Education: Advanced degree (Master's preferred) in a quantitative field such as Statistics, Applied Mathematics, Engineering, Computer Science, Finance or Economics.
Experience: 1–2 years of experience in marketing analytics, data science, or commercial strategy, preferably within consumer banking, financial services or a high-growth consumer tech environment.
Technical Skills:
Programming: Expert-level SQL and Python (specifically for data science and statistics).
Marketing Tech: Hands-on experience with LiveRamp, Google Ads Data Hub, and/or Data Clean Rooms.
Measurement Methodologies: Proven track record in conducting MMM, Geo-testing, and Causal Inference.
Visualization: Proficiency in Tableau and Advanced Excel.
Analytical Rigor: Strong understanding of statistical concepts (e.g., regression, hypothesis testing, significance levels).
Communication: Demonstrated ability to present complex analytical results to non-technical stakeholders, highlighting commercial and strategic impacts.
Project Management: Self-driven with the ability to manage multiple workstreams independently in a fast-paced environment.
Technical Competency Requirements
Specific Tools & Frameworks
Identity & Privacy
LiveRamp , Snowflake Data Clean Rooms, InfoSum
Measurement Platforms
Google Ads Data Hub (ADH) , Amazon Marketing Cloud (AMC)
Advanced Analytics
Meta Robyn (MMM) , GeoLift
Causal Inference
Microsoft EconML , CausalML, Propensity Score Matching
Data Stack
SQL, Python, Snowflake, Alteryx, BigQuery, Tableau/ PowerBI
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2026. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Full job record
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| Board ID | 6c2fc4b4-b977-4fca-ad16-3207bde507b7 |
| Provider | oracle_hcm |
| Provider Job Key | 174478 |
| Title | AWM-Marcus by Goldman Sachs, Marketing Analytics, Associate/Analyst Richardson, TX, |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Richardson, TX, United States |
| Department | Associate |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | TX |
| City | Richardson |
| Salary Raw | Description Opportunity Overview As a Marketing Analytics, Associate/Analyst within the Commercial Strategy team, you will sit at the intersection of data science and business growth. You will be responsible for deciphering complex consumer behaviors to optimize marketing spend, improve customer acquisition, and drive the long-term profitability of our digital banking products. This role requires a deep understanding of modern, privacy-centric measurement frameworks and the ability to translate technical findings into commercial strategies. Asset & Wealth Management The Asset & Wealth Management Division include Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) and Marcus Savings business (MS). We provide asset management, wealth management and banking expertise to consumers and institutions around the world. AWM partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives. Marcus by Goldman Sachs As the online consumer banking business of Goldman Sachs, Marcus operates as a digital bank, providing high-yield savings accounts and Certificates of Deposit (CDs) directly to individual consumers. Marcus combines Goldman Sachs' 150+ years of expertise with intuitive digital experiences, focusing on value, transparency, and simplicity for its millions of customers, and is recognized as the largest pure online bank, delivering a fully digital experience without physical branches. Responsibilities: Advanced Marketing Measurement & Attribution: Develop and maintain measurement frameworks to evaluate the effectiveness of multi-channel marketing campaigns (Search, Social, Display, Email, CTV, Audio/Radio). Join first-party customer data with event-level ad data for deep-dive attribution and audience analysis. Privacy-First Identity Resolution: Utilize data clean rooms (e.g. Liveramp, Snowflake, InfoSum) to perform privacy-safe data collaboration and identity stitching across fragmented touchpoints. Incrementality & Causal Analysis: Design and execute randomized controlled tests (RCTs) and geo-testing using frameworks like GeoLift to measure the true incremental impact of marketing investments. Marketing Mix Modeling (MMM): Conduct Marketing Mix Modeling (MMM) using open-source libraries (e.g., Meta’s Robyn or Google’s LightweightMMM) to estimate marketing contribution and inform marketing budget planning and optimization. Causal Inference: Apply advanced statistical techniques and Python libraries (e.g., EconML, CausalML) to move beyond correlation and understand the drivers of customer behavior. Automated Reporting: Build and automate high-impact dashboards (e.g. Tableau, PowerBI) to provide real-time insights into marketing ROI, channel performance, campaign double-clicks/deep-dives, promotion effectiveness , and prospect/customer cohort analysis. Cross-Functional Collaboration: Work closely with technology and modeling teams to evaluate new data sources and analytical tools, ensuring the marketing stack remains cutting-edge. Growth Strategy & Optimization: Use data and statistical testing to identify opportunities for improving conversion rates across the customer acquisition funnel and optimizing Customer Acquisition Cost (CAC). A/B Testing & Experimentation: Design, execute, and monitor "test and learn" strategies for marketing creative, landing pages, and promotional offers, ensuring results meet statistical significance. Automated Dashboards: Build and automate high-impact visualizations in Tableau to provide real-time insights into marketing ROI and channel performance for senior leadership. Cross-Functional Collaboration: Partner with the Modeling, Engineering, and Product teams to integrate new data sources and refine the marketing tech stack. Qualifications: Education: Advanced degree (Master's preferred) in a quantitative field such as Statistics, Applied Mathematics, Engineering, Computer Science, Finance or Economics. Experience: 1–2 years of experience in marketing analytics, data science, or commercial strategy, preferably within consumer banking, financial services or a high-growth consumer tech environment. Technical Skills: Programming: Expert-level SQL and Python (specifically for data science and statistics). Marketing Tech: Hands-on experience with LiveRamp, Google Ads Data Hub, and/or Data Clean Rooms. Measurement Methodologies: Proven track record in conducting MMM, Geo-testing, and Causal Inference. Visualization: Proficiency in Tableau and Advanced Excel. Analytical Rigor: Strong understanding of statistical concepts (e.g., regression, hypothesis testing, significance levels). Communication: Demonstrated ability to present complex analytical results to non-technical stakeholders, highlighting commercial and strategic impacts. Project Management: Self-driven with the ability to manage multiple workstreams independently in a fast-paced environment. Technical Competency Requirements Specific Tools & Frameworks Identity & Privacy LiveRamp , Snowflake Data Clean Rooms, InfoSum Measurement Platforms Google Ads Data Hub (ADH) , Amazon Marketing Cloud (AMC) Advanced Analytics Meta Robyn (MMM) , GeoLift Causal Inference Microsoft EconML , CausalML, Propensity Score Matching Data Stack SQL, Python, Snowflake, Alteryx, BigQuery, Tableau/ PowerBI ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html © The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3002/job/174478 |
| Apply URL | https://hdpc.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_3002/job/174478 |
| First Seen At | 2026-06-11 11:28:06Z |
| Last Seen At | 2026-06-21 12:41:08Z |
| Last Checked At | 2026-06-21 12:41:08Z |
| Last Changed At | 2026-06-19 11:39:49Z |
| Inactive At | — |
| Source Posted At | 2026-06-11 14:47:49Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=hdpc.fa.us2.oraclecloud.com|CX_3002/date=2026-06-21/2026-06-21T12-39-37-434Z-39cb0b5ddbbac5db24e3b23039fdda1e0c7e6252c71b3be2d4a18f21ca5fa0c5.json |
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"ExternalDescriptionStr": "<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <div style=\"margin:0px; padding:0px\">\n <p><span><b>Opportunity Overview</b> </span></p>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <p><span>As a Marketing Analytics, Associate/Analyst within the Commercial Strategy team, you will sit at the intersection of data science and business growth. You will be responsible for deciphering complex consumer behaviors to optimize marketing spend, improve customer acquisition, and drive the long-term profitability of our digital banking products. This role requires a deep understanding of modern, privacy-centric measurement frameworks and the ability to translate technical findings into commercial strategies. </span></p>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <p><span><b>Asset & Wealth Management</b> </span></p>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <p><span>The Asset & Wealth Management Division include Goldman Sachs Asset Management (GSAM), Private Wealth Management (PWM) </span><span>and Marcus Savings business (MS). </span><span>We provide asset management, wealth management and banking expertise to consumers and institutions around the world. AWM partners with various teams across the firm to help individuals and institutions navigate changing markets and take control of their financial lives. </span></p>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <p><span><b>Marcus by Goldman Sachs</b> </span></p>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <p><span>As the online consumer banking business of Goldman Sachs, Marcus operates as a digital bank, providing high-yield savings accounts and Certificates of Deposit (CDs) directly to individual consumers. Marcus combines Goldman Sachs' 150+ years of expertise with intuitive digital experiences, focusing on value, transparency, and simplicity for its millions of customers, and is recognized as the largest pure online bank, delivering a fully digital experience without physical branches. </span></p>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <p><span><b>Responsibilities:</b> </span></p>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Advanced Marketing Measurement & Attribution:</b> Develop and maintain measurement frameworks to evaluate the effectiveness of multi-channel marketing campaigns (Search, Social, Display, Email, CTV, Audio/Radio). Join first-party customer data with event-level ad data for deep-dive attribution and audience analysis. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Privacy-First Identity Resolution:</b> Utilize data clean rooms (e.g. Liveramp, Snowflake, InfoSum) to perform privacy-safe data collaboration and identity stitching across fragmented touchpoints. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Incrementality & Causal Analysis:</b> Design and execute randomized controlled tests (RCTs) and geo-testing using frameworks like <b>GeoLift</b> to measure the true incremental impact of marketing investments. </span></li>\n </ul>\n </div>\n</div>\n<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Marketing Mix Modeling (MMM):</b> Conduct Marketing Mix Modeling (MMM) using open-source libraries (e.g., Meta’s Robyn or Google’s LightweightMMM) to estimate marketing contribution and inform marketing budget planning and optimization. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Causal Inference:</b> Apply advanced statistical techniques and Python libraries (e.g., EconML, CausalML) to move beyond correlation and understand the drivers of customer behavior. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Automated Reporting:</b> Build and automate high-impact dashboards (e.g. Tableau, PowerBI) to provide real-time insights into marketing ROI, channel performance, campaign double-clicks/deep-dives, promotion effectiveness , and prospect/customer cohort analysis. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Cross-Functional Collaboration:</b> Work closely with technology and modeling teams to evaluate new data sources and analytical tools, ensuring the marketing stack remains cutting-edge. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Growth Strategy & Optimization:</b> Use data and statistical testing to identify opportunities for improving conversion rates across the customer acquisition funnel and optimizing Customer Acquisition Cost (CAC). </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>A/B Testing & Experimentation:</b> Design, execute, and monitor \"test and learn\" strategies for marketing creative, landing pages, and promotional offers, ensuring results meet statistical significance. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Automated Dashboards:</b> Build and automate high-impact visualizations in Tableau to provide real-time insights into marketing ROI and channel performance for senior leadership. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Cross-Functional Collaboration:</b> Partner with the Modeling, Engineering, and Product teams to integrate new data sources and refine the marketing tech stack. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <p><span><b>Qualifications:</b> </span></p>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Education:</b> Advanced degree (Master's preferred) in a quantitative field such as Statistics, Applied Mathematics, Engineering, Computer Science, Finance or Economics. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Experience:</b> 1–2 years of experience in marketing analytics, data science, or commercial strategy, preferably within consumer banking, financial services or a high-growth consumer tech environment. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Technical Skills:</b> </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Programming:</b> Expert-level SQL and Python (specifically for data science and statistics). </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Marketing Tech:</b> Hands-on experience with LiveRamp, Google Ads Data Hub, and/or Data Clean Rooms. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Measurement Methodologies:</b> Proven track record in conducting MMM, Geo-testing, and Causal Inference. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Visualization:</b> Proficiency in Tableau and Advanced Excel. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Analytical Rigor:</b> Strong understanding of statistical concepts (e.g., regression, hypothesis testing, significance levels). </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Communication:</b> Demonstrated ability to present complex analytical results to non-technical stakeholders, highlighting commercial and strategic impacts. </span></li>\n </ul>\n </div>\n <div style=\"margin:0px; padding:0px\">\n <ul>\n <li><span><b>Project Management:</b> Self-driven with the ability to manage multiple workstreams independently in a fast-paced environment. </span></li>\n </ul>\n </div>\n</div>\n<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <p> </p>\n</div>\n<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <p><span> <b>Technical Competency Requirements</b> </span></p>\n</div>\n<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <p> </p>\n <table>\n <tbody>\n <tr>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><span> </span></p>\n </div>\n </div></td>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><span><b>Specific Tools & Frameworks</b> </span></p>\n </div>\n </div></td>\n </tr>\n <tr>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><span><b>Identity & Privacy</b> </span></p>\n </div>\n </div></td>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><a href=\"https://liveramp.com/\" target=\"_blank\" rel=\"nofollow\"><span><u>LiveRamp</u></span></a><span>, Snowflake Data Clean Rooms, InfoSum </span></p>\n </div>\n </div></td>\n </tr>\n <tr>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><span><b>Measurement Platforms</b> </span></p>\n </div>\n </div></td>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><a href=\"https://developers.google.com/ads-data-hub\" target=\"_blank\" rel=\"nofollow\"><span><u>Google Ads Data Hub (ADH)</u></span></a><span>, Amazon Marketing Cloud (AMC) </span></p>\n </div>\n </div></td>\n </tr>\n <tr>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><span><b>Advanced Analytics</b> </span></p>\n </div>\n </div></td>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><a href=\"https://facebookexperimental.github.io/Robyn/\" target=\"_blank\" rel=\"nofollow\"><span><u>Meta Robyn (MMM)</u></span></a><span>, </span><a href=\"https://facebookincubator.github.io/GeoLift/\" target=\"_blank\" rel=\"nofollow\"><span><u>GeoLift</u></span></a><span> </span></p>\n </div>\n </div></td>\n </tr>\n <tr>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><span><b>Causal Inference</b> </span></p>\n </div>\n </div></td>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><a href=\"https://www.microsoft.com/en-us/research/project/econml/\" target=\"_blank\" rel=\"nofollow\"><span><u>Microsoft EconML</u></span></a><span>, CausalML, Propensity Score Matching </span></p>\n </div>\n </div></td>\n </tr>\n <tr>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><span><b>Data Stack</b> </span></p>\n </div>\n </div></td>\n <td>\n <div style=\"margin:0px; padding:1px\">\n <div style=\"margin:0px; padding:0px\">\n <p><span>SQL, Python, Snowflake, Alteryx, BigQuery, Tableau/ PowerBI </span></p>\n </div>\n </div></td>\n </tr>\n </tbody>\n </table>\n</div>\n<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <p><span> </span></p>\n</div>\n<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <p><span>ABOUT GOLDMAN SACHS </span></p>\n</div>\n<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <p><span>At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. </span></p>\n</div>\n<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <p><span>We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. </span></p>\n</div>\n<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <p><span>We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: </span><a href=\"https://www.goldmansachs.com/careers/footer/disability-statement.html\" target=\"_blank\" rel=\"nofollow\"><span><u>https://www.goldmansachs.com/careers/footer/disability-statement.html</u></span></a><span> </span></p>\n</div>\n<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <p><span>© The Goldman Sachs Group, Inc., 2026. All rights reserved. </span></p>\n</div>\n<div style=\"font-style:normal; font-weight:400; margin:0px; padding:0px\">\n <p><span>Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. </span></p>\n</div>",
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