Data Science Analyst – Customer & Product Intelligence

Nasdaq

Data Science Analyst utilizing large datasets to inform product strategy and enhance customer experience. Designing analytical frameworks and deploying AI/ML models to drive business impact.

Posted 6/26/2026full-timeSan Francisco • California, Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $95,000 - $166,000 per yearWebsite

ATS Keywords

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Hard Skills

data analysismachine learningnatural language processingsentiment analysisdata visualizationdashboardingdata aggregationdata harmonizationstatistical analysiscustomer insight modeling

Soft Skills

clear communicationactionable insightscollaborationproduct prioritizationstakeholder engagementproblem-solvingadaptabilitycritical thinkingteamworkbusiness impact translation

Tools & Technologies

cloud-based data platformsdata infrastructureanalytics toolsSaaS environmentsdashboard toolsdata modeling toolsAI/ML frameworksdata processing toolsbusiness intelligence toolsdata management systems

Certifications & Qualifications

Bachelor's degree in Data ScienceBachelor's degree in AnalyticsBachelor's degree in StatisticsBachelor's degree in Computer Science

Industry Keywords

product analyticscustomer experiencereal-time visibilitycustomer trendsexperience metricsdata-driven decision makingunified customer insightscomplex datasetsstructured dataunstructured data

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Design scalable analytical frameworks to evaluate diverse datasets across customer, product, and operations domains.
Aggregate and harmonize structured and unstructured data into unified customer insight models.
Build, deploy, and maintain AI/ML models to identify patterns in sentiment, feature demand, and churn risk.
Translate data findings into clear, actionable insights that inform product prioritization and roadmap decisions.
Partner with Product, UX, and Customer Success teams to define key experience metrics and develop dashboards that provide real-time visibility into customer trends.

Requirements

What you’ll need

Bachelor's degree in Data Science, Analytics, Statistics, Computer Science, or a related field, or equivalent practical experience.
Strong experience analyzing large, complex datasets (structured and unstructured).
Proven ability to develop and apply machine learning models in a product or customer analytics context.
Expertise in data visualization and dashboarding tools.
Clear communicator with the ability to translate technical insights into business impact for diverse audiences.
Experience in product analytics, customer experience, or SaaS environments (preferred).
Familiarity with natural language processing (NLP) and sentiment analysis techniques (preferred).
Exposure to cloud-based data platforms and modern data infrastructure (preferred).

Benefits

Comp & perks

Generous annual bonus/commission (short-term incentive)
Equity (long-term incentive)
Comprehensive benefits
401(k) program with 6% employer match
Employee Stock Purchase Program with 15% discount
Student loan repayment program up to $10k
Company paid life and disability plans
Generous paid time off
Comprehensive medical, dental and vision coverage
Health spending account with employer contribution
Paid flex days to support mental wellbeing
Gym membership discounts
Hybrid home/office schedule (for most positions)
Paid parental leave
Fertility benefits
Paid bereavement leave
Company gift matching program
Employee resource groups
Paid volunteer days
Education Assistance Program
Robust job skills training and Professional development opportunities