3 weeks ago

Senior.Analyst-Data Science (SQL, Python, Gen AI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Drive customer acquisition for Paid Search by building data-driven measurement and analytics solutions that improve targeting accuracy, audience activation, and campaign efficiency. Use structured and unstructured data to generate actionable insights and enhance acquisition efficiency and customer quality. Apply AI and GenAI techniques, run experimentation and performance measurement, and analyze bidding algorithms and auction dynamics to optimize outcomes. Partner with marketing, product, technology, and platform teams to translate findings into scalable growth initiatives.

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop analytical solutions, measurement frameworks, and data products to improve targeting accuracy, audience activation, and digital acquisition performance across Paid Search.
•Leverage structured and unstructured data to generate actionable insights and identify opportunities to improve acquisition efficiency and customer quality.
•Apply AI and GenAI techniques (e.g., automated insights generation, semantic analysis, customer intent modeling, search intelligence) to improve decision-making and analytical productivity.
•Drive experimentation and performance measurement by designing tests, evaluating results, and turning findings into actionable recommendations.
•Analyze Paid Search bidding algorithms and auction dynamics, monitor evolving search/AI experiences, and recommend strategies to enhance visibility and acquisition effectiveness.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid Leave

Key Requirements

•Master’s degree in a quantitative field (e.g., engineering, mathematics, finance, computer science, statistics, economics).
•1-3 years of professional experience in the Data Science and Analytics domain.
•Experience working with LLMs and building ML models such as XGBoost and K-Means, with proficiency in SQL, Python, or similar tools.
•Strong analytical and conceptual thinking to solve unstructured, complex business problems.
•Excellent written and oral communication skills.

Experience:1-3 yearsData scienceAnalyticsDigital marketing analyticsExperimentationPaid search

Education:Bachelor's

Skills:Analytical thinkingCommunicationPartner influenceConceptual thinking

Tech Stack:SQLPythonLLMsGenAIXGBoostK-Means

Company Brief

American Express

Industry: Payments

Website

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American Express

3 weeks ago

Senior.Analyst-Data Science (SQL, Python, Gen AI)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Gurugram

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Develop analytical solutions, measurement frameworks, and data products to improve targeting accuracy, audience activation, and digital acquisition performance across Paid Search.
•Leverage structured and unstructured data to generate actionable insights and identify opportunities to improve acquisition efficiency and customer quality.
•Apply AI and GenAI techniques (e.g., automated insights generation, semantic analysis, customer intent modeling, search intelligence) to improve decision-making and analytical productivity.
•Drive experimentation and performance measurement by designing tests, evaluating results, and turning findings into actionable recommendations.
•Analyze Paid Search bidding algorithms and auction dynamics, monitor evolving search/AI experiences, and recommend strategies to enhance visibility and acquisition effectiveness.

Pay and Benefits

Perks:Health InsuranceDentalVisionLife InsuranceDisabilityRetirementPaid Leave

Key Requirements

•Master’s degree in a quantitative field (e.g., engineering, mathematics, finance, computer science, statistics, economics).
•1-3 years of professional experience in the Data Science and Analytics domain.
•Experience working with LLMs and building ML models such as XGBoost and K-Means, with proficiency in SQL, Python, or similar tools.
•Strong analytical and conceptual thinking to solve unstructured, complex business problems.
•Excellent written and oral communication skills.

Experience:1-3 yearsData scienceAnalyticsDigital marketing analyticsExperimentationPaid search

Education:Bachelor's

Skills:Analytical thinkingCommunicationPartner influenceConceptual thinking

Tech Stack:SQLPythonLLMsGenAIXGBoostK-Means

Company Brief

American Express

Industry: Payments

Website