Data Scientist - Marketing Job at ElevenLabs

Senior Marketing Data Scientist

The Marketing Data Science team sits within the broader Product Data Science org...

Location

United States; Canada

Salary:

Not provided

Mozilla

Expiration Date

Until further notice

Requirements

2–3 years of experience conducting quantitative analyses, ideally within a marketing or growth environment
Master’s degree or higher in a computer, mathematical, physical, life, or social science discipline (preferred)
Strong SQL skills and experience working with relational databases (e.g., BigQuery, Redshift) to extract, transform, and synthesize data
Proficiency with visualization and reporting tools, such as Python, Looker, or Redash, and experience building clear, actionable reporting solutions
Knowledge of core statistical methods used for hypothesis testing and analytical inference
Strong analytical and problem-solving skills, with the ability to translate data into clear insights, recommendations, and next steps, communicated concisely and transparently
Commitment to our values: Welcoming differences
Being relationship-minded
Practicing responsible participation
Having grit

Job Responsibility

Own marketing tests end-to-end, leveraging and contributing to our Python-based measurement workflows
Collaborate with senior ICs to address critical data infrastructure needs, support org-wide migrations, and develop new analytical and measurement solutions
Develop reporting and monitoring tools that surface business insights and increase visibility into marketing performance and impact
Conduct deep-dive analyses to investigate questions related to performance, audiences, monetization, attribution, and data integrity
Provide flexible analytical support across the team’s project portfolio, taking high-level direction from senior ICs while independently owning specific components of the solution

What we offer

Generous performance-based bonus plans to all eligible employees - we share in our success as one team
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Data Scientist- Marketing Agentic AI

Location

Australia , Sydney/ Melbourne

Salary:

Not provided

Woolworths Supermarkets

Expiration Date

Until further notice

Requirements

Agentic Orchestration: Expert-level experience with LangGraph, LangChain, ADK, or PydanticAI. Proficiency in CoT, ReAct, Tree of Thoughts, and Multi-Agent handoffs
Multi-Modal Expertise: Hands-on experience with long-context RAG, fine-tuning, and audio/video generative models
Engineering Excellence: Expert Python and SQL skills
clean code advocate. Experience with React (prototyping) and PyTest/CI-CD (DevOps)
Modern AI Stack: Familiarity with AI-assisted development (Claude Code, Gemini Copilot) and vector databases (GCP Vector Search, Qdrant)
Solution Architecture: Ability to frame 'big picture' business problems into viable technical roadmaps
Foundational Data Science: Deep understanding of embeddings, non-deterministic output interpretation, and metrics (Gini, Precision/Recall vs. LLM-as-a-judge)
Stakeholder Leadership: High-level communication skills to translate complex logic into clear business recommendations
Proven Delivery: A portfolio of productionised systems (not just POCs or notebooks) deployed in cloud environments
Industry Context (Bonus): Background in Digital Marketing, AdTech, or E-commerce

Job Responsibility

Partner with the Group's marketing teams to accelerate and optimise campaign creation strategies through cutting-edge AI
Architect Agentic Systems: Design autonomous, cyclic loops and multi-step reasoning systems (moving beyond linear prompting) to automate marketing workflows
Deploy Multi-Modal Solutions: Scale GenAI applications across Text (Advanced RAG), Audio (STT/TTS), and Video (e.g., Veo) to enhance creative output
Production-Grade Engineering: Architect scalable solutions and manage the transition from initial concept to formal production release
Advanced Evaluation & Observability: Implement frameworks using LangFuse and custom metrics to track tool-calling accuracy, trajectory, and goal completion
Strategic Problem Framing: Bridge the gap between technical possibilities and commercial outcomes, identifying where Agentic systems add the most value
Collaborative Innovation: Integrate embeddings and vector databases into live systems in collaboration with Product and Engineering

What we offer

Team discounts across our range of Woolworths Group brands
robust rewards program
12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave - eligible from the first day of employment
range of programs to help you prioritise and manage your wellbeing including 24/7 access to the Sonder app
progressive and competitive leave policy

Fulltime

Staff Data Scientist, Marketing

10x Genomics is seeking a Staff Data Scientist - Marketing to lead the developme...

Location

United States , Pleasanton

Salary:

198500.00 - 268500.00 USD / Year

10x Genomics

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Marketing, Business, Statistics, Data Science, or a related field
6+ years of experience in marketing analytics, data science, or a related field, with a proven track record of driving measurable impact
Expert-level proficiency in SQL and either Python or R for data manipulation and statistical analysis
Strong understanding of statistical modeling, marketing attribution, and predictive analytics
Experience with data visualization tools (e.g., Tableau, Power BI) and web analytics platforms (e.g., Google Analytics)
Experience with CRM and marketing automation platforms (e.g., Salesforce, Marketo)
Ability to synthesize complex data into clear, actionable insights for both technical and non-technical stakeholders
Excellent communication, collaboration, and project management skills

Job Responsibility

Serve as a strategic partner to marketing leadership, translating business goals into data-driven strategies and measurable outcomes
Architect and advocate for a unified customer data model, collaborating with data engineering to ensure scalable, high-quality data infrastructure
Lead the development of attribution models and marketing mix analyses to identify high-impact campaigns and optimize spend
Build and maintain executive-level dashboards and operational reporting tools to monitor marketing performance across channels
Conduct deep-dive analyses of customer behavior, campaign effectiveness, and channel ROI to uncover growth opportunities
Define and track key metrics such as Customer Acquisition Cost (CAC), Lifetime Value (LTV), and conversion rates
Design and analyze A/B tests to improve campaign performance and user experience
Partner with marketing operations to enhance automation, segmentation, and targeting strategies using data insights
Improve data accuracy, reporting processes, and analytics workflows across the marketing organization
Analyze digital performance across SEO/SEM, website traffic, social media, and email campaigns

What we offer

Equity grants
Comprehensive health and retirement benefit programs
Annual bonus program or sales incentive program
Competitive and comprehensive health benefits package
Easy-to-use benefits that promote wellbeing
Family friendly policies like parental leave
Generous Time Off

Fulltime

Data Scientist, Marketing

We’re hiring a senior data scientist to partner with our rapidly growing Marketi...

Location

United States , San Francisco; New York City

Salary:

230000.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

At least 10+ years of experience in Data Science roles within dynamic, outcome-driven organizations
Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies
Proficiency in quantitative programming languages, such as Python and R
Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows
Experience using business intelligence tools, such as Mode, Tableau, and Looker
Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks
Ability to build relationships with diverse stakeholders and cultivate strong partnerships
Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact
Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level
Best-in-class attention to detail and unwavering commitment to accuracy

Job Responsibility

Embed with the GTM, User Ops, Marketing, and Partnerships organization as a trusted partner, uncovering new ways to improve the business and drive growth
Manage cross-functional data science projects about revenue, marketing, pricing, usage, and other topics core to the business
Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics
Become an expert in OAI’s data and systems
Through partnership with Data Eng, Finance and other business teams, you should be able to self-serve all the underlying data for our business and derive insights from them
Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way
Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization

What we offer

Offers Equity
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth

Fulltime

Data Scientist, Marketing

You'll directly impact Replit's growth by turning user behavior into actionable ...

Location

United States , Foster City

Salary:

180000.00 - 250000.00 USD / Year

Replit

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles
4+ years of experience in data science or related roles with a focus on marketing, growth, or business analytics
Strong SQL skills and experience working with large datasets, particularly event-level user behavior data, and designing ETL workflows using dbt
Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.)
Experience designing and analyzing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference
Experience building dashboards and visualizations (Looker, Tableau, Mode, or similar tools)
Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders

Job Responsibility

Design and analyze marketing experiments to optimize campaigns, messaging, and channel performance across email, paid ads, social, and content marketing
Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion
Develop predictive models to identify high-intent prospects, optimize lead scoring, and improve targeting for paid acquisition campaigns
Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations
Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams
Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics

What we offer

Competitive Salary & Equity
401(k) Program with a 4% match
Health, Dental, Vision and Life Insurance
Short Term and Long Term Disability
Paid Parental, Medical, Caregiver Leave
Commuter Benefits
Monthly Wellness Stipend
Autonomous Work Environment
In Office Set-Up Reimbursement
Flexible Time Off (FTO) + Holidays

Fulltime

Associate Data Scientist - Marketing

Bumble Inc. is looking for an Associate Data Scientist to join our Core Data Sci...

Location

United States , Austin

Salary:

120000.00 - 140000.00 USD / Year

Bumble Inc.

Expiration Date

Until further notice

Requirements

1–3 years of experience in analytics, data science, marketing analytics, consulting, or a similar role (tech/digital consumer experience a plus)
Strong Python skills for analysis and automation (e.g., pandas, notebooks) and strong SQL for data extraction and transformation
Solid grounding in statistics and measurement concepts (e.g., confidence intervals, bias/confounding, experiment interpretation)
Comfort working with marketing/UA metrics and funnels (e.g., CPI/CAC, conversion rate, payback, retention) or strong interest in learning quickly
Experience with data visualisation/storytelling (e.g., Looker, Tableau) and presenting insights to non-technical audiences
Collaborative mindset, curiosity, and a practical approach to solving ambiguous business problems

Job Responsibility

Partner with Marketing/UA, Product, and Finance teams to define and investigate key questions related to acquisition performance and growth
Support measurement of campaign performance (e.g., efficiency, quality, retention, LTV/ROI), and help improve how results are tracked and reported
Build and maintain dashboards, datasets, and analysis pipelines that make performance data accessible and trusted
Conduct deep-dive analyses to identify patterns, drivers, and opportunities across channels, geos, and audience cohorts
Help develop and operationalise experimentation and incrementality approaches (e.g., A/B tests, geo tests) to evaluate marketing impact
Communicate insights clearly, turning analysis into practical recommendations for stakeholders
Collaborate with Analytics and Data Engineering to improve data quality, definitions, and instrumentation relevant to acquisition and attribution

What we offer

Medical
Dental
Vision
401(k) match
Unlimited Paid Time Off Policy
Maven Fertility: $10,000 lifetime benefit for fertility, adoption, abortion care, and more
26 Weeks Parental Leave: For both primary and secondary caregivers
Family & Compassionate Leave: Inclusive of domestic violence recovery
Unlimited Paid Time Off: Take the time you need
Company-wide Week Off: Annual collective rest for the entire company

Fulltime

Senior Data Scientist, Marketing

We’re hiring a Senior Marketing Data Scientist to partner closely with Harvey’s ...

Location

United States , San Francisco

Salary:

170000.00 - 200000.00 USD / Year

Harvey

Expiration Date

Until further notice

Requirements

6+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or Marketing analyst within a hyper-growth product company or research organization
Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows
Expertise working with Salesforce, Marketo and Ads spent data
Strong experience with modern data stack, such as DBT, Looker and Omni
Proficiency in quantitative programming languages, such as Python and R
Experience defining, implementing, and operationalizing Marketing campaign- and channel-level metrics from the ground up
Strong communication skills, with the ability to effectively partner with leaders across Marketing, GTM and Finance
Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction

Job Responsibility

Embed deeply with the Marketing organization as a trusted partner, identifying opportunities to improve performance and drive growth
Define, track, and evolve core metrics across marketing and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making
Design, implement, and evaluate models (multi-touch attribution, marketing mix modeling, incrementality) for comprehensive Marketing Channel and Campaign performance and contribution
Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization
Translate complex analyses into compelling stories, delivering clear recommendations to cross-functional partners and executives
Partner with Marketing, RevOps and GTM System, to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling
Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business
Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey

What we offer

Offers Equity
Offers Bonus
Comprehensive health, dental and vision coverage
retirement benefits (401k match up to 4%)
flexible PTO

Fulltime

Senior Data Scientist in Marketing Analytics

Join Ekimetrics, a leading data science and AI solutions provider, as a Senior D...

Location

United States , New York

Salary:

110000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

Bachelor or Master's degree in a quantitative discipline (statistics, applied mathematics, computer science, economics, operations research, business/MBA) from a leading academic institution
3+ years of experience in Data Analysis / Modeling / Advanced Analytics / Econometrics in a business setting, preferably in a client-facing consulting-oriented role
Passion for data, extensive knowledge of statistics or applied mathematics, experience using advanced analytical methodologies (e.g., regression analysis)
Digital and Marketing strategy curiosity
Experience with statistical software such as Python, R
Strong knowledge of marketing and media strategy, and the key questions for the modern CMO
Excellent communication skills – especially translating complex technical findings into plain language insights
Demonstrated ability to develop new and lasting client relationships across multiple industries
Team oriented and collaborative working style
Management experience and demonstrated ability to develop talent and build a high performing team

Job Responsibility

Design and scope new projects, ensuring the right analyses are applied to client questions and that the business case is achievable
Lead project teams, ensuring the delivery of highly valuable, effective data science solutions that meet client needs, and driving high client value
Support the development of junior colleagues, actively engaging in transversal topics such as thought leadership, innovation streams, knowledge management, and recruitment
Gather and analyze data, build statistical models, and translate quantitative insights into actionable strategic recommendations
Deliver results as a persuasive story
Support client retention and new business opportunities
Contribute to the development of junior consultants through knowledge sharing and mentorship
Help lead our fast growth by contributing to local and global initiatives such as Thought-Leadership, Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques

What we offer

Medical insurance, dental, and vision
Emphasis on work-life-balance and 20 PTO days per year and holidays
Dynamic environment with a strong culture and great office in FiDi
Close-knit team with friendly environment, bi-monthly team events
Creative and entrepreneurial start-up environment with strong promotion opportunities
Best-in-class methodologies and cutting-edge technologies in marketing analytics
Unique internal training package with 70+ sessions in our Eki.Academy digital platform
Client exposure up to the executive level in different industries and countries
Opportunities for international mobility across our three other offices in Paris, London, Hong Kong and Shanghai
Generous bonus package

Fulltime

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Data Scientist - Marketing

Job Description

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