Data Scientist - Media Optimization
Remote
⚠️ We'll shut down after Aug 1st - try foo🦍 for all jobs in tech ⚠️
Applications have closed
Haus
Measure incrementality and allocate budget efficiently with Haus - your marketing science & experimentation platform to maximize growth.
About HausHaus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus uses frontier causal inference based econometric models to run experiments and help brands understand how the actions they take in marketing, pricing and promotions impact the bottom line. Our team is comprised of former product managers, economists and engineers from Google, Netflix, Amazon and Meta who saw how costly it is to support high-quality decision science tooling and incrementality testing. Our mission is to make this technology available to all businesses, where all the heavy lifting of experiment design, data cleaning, and analysis/insights are taken care of for you. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions. We are backed by top VCs like Insight Partners, 01 Advisors, Baseline Ventures, and Haystack.
What You'll DoYou will work on research and development with our Media Optimization team, building the next generation of causal marketing measurement tools. You will work directly with customers to drive meaningful change in their businesses. You will also be an active contributor to the full product life cycle, collaborating with engineers, product managers, and designers to produce high-quality experiences for our customers.
The ideal candidate will be a hands-on data scientist, excited to implement and deploy new models via scalable software solutions and use those solutions to drive value for customers. You thrive on execution and are able to use strong judgment and clear, succinct communication to drive the right decisions to deliver on our ambitious roadmap.
What You'll DoYou will work on research and development with our Media Optimization team, building the next generation of causal marketing measurement tools. You will work directly with customers to drive meaningful change in their businesses. You will also be an active contributor to the full product life cycle, collaborating with engineers, product managers, and designers to produce high-quality experiences for our customers.
The ideal candidate will be a hands-on data scientist, excited to implement and deploy new models via scalable software solutions and use those solutions to drive value for customers. You thrive on execution and are able to use strong judgment and clear, succinct communication to drive the right decisions to deliver on our ambitious roadmap.
Responsibilities
- Partner with engineering teams to build and deploy causal models into production
- Apply novel models to new customers and data
- Help drive product roadmap by clearly advocating for rigorous scientific solutions to customer pain points
- Support customers using new products post-launch by establishing requirements and communicating technical concepts/results
Qualifications
- MSc in a quantitative field (Statistics, Economics, Data Science, etc.) or equivalent industry/academic experience
- 3+ years working in an Economist / Data Scientist / Applied Scientist role generating insights for stakeholders/customers using causal models and/or building science models for production environments
- Expert in Python and SQL
- Experience in the modern marketing measurement stack (incrementality testing, MMM, MTA)
- Experience in causal inference and machine learning
- Experience coding and troubleshooting models built for deployment
About you
- Done is better than perfect - you take small exploratory steps rather than large precise leaps toward solutions.
- Act like an owner - you share responsibility with the team and do what you can to achieve success. You thrive in ambiguity and find ways to structure unstructured problems.
- Experiment - you try new ideas rather than repeat known formulas.
What we offer
- Competitive salary and startup equity
- Top of the line health, dental, and vision insurance
- 401k plan
- Tools and resources you need to be productive (new laptop, equipment, you name it)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
5
6
0
Category:
Data Science Jobs
Tags: Causal inference Economics Engineering Haystack Machine Learning Privacy Python Research SQL Statistics Testing
Perks/benefits: 401(k) matching Competitive pay Equity / stock options Gear Health care Insurance Startup environment
Region:
Remote/Anywhere
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Business Intelligence Developer jobsSr. Data Engineer jobsData Scientist II jobsBI Developer jobsPrincipal Data Engineer jobsStaff Data Scientist jobsStaff Machine Learning Engineer jobsPrincipal Software Engineer jobsDevOps Engineer jobsData Science Intern jobsJunior Data Analyst jobsSoftware Engineer II jobsData Manager jobsData Science Manager jobsStaff Software Engineer jobsAI/ML Engineer jobsLead Data Analyst jobsBusiness Data Analyst jobsData Analyst Intern jobsSr. Data Scientist jobsData Specialist jobsBusiness Intelligence Analyst jobsData Engineer III jobsData Governance Analyst jobsSenior Backend Engineer jobs
Consulting jobsMLOps jobsAirflow jobsOpen Source jobsEconomics jobsKafka jobsLinux jobsGitHub jobsKPIs jobsTerraform jobsJavaScript jobsPrompt engineering jobsRAG jobsPostgreSQL jobsBanking jobsStreaming jobsScikit-learn jobsClassification jobsRDBMS jobsNoSQL jobsData Warehousing jobsComputer Vision jobsPhysics jobsdbt jobsGoogle Cloud jobs
Hadoop jobsPandas jobsLangChain jobsScala jobsR&D jobsGPT jobsBigQuery jobsData warehouse jobsMicroservices jobsDistributed Systems jobsReact jobsScrum jobsELT jobsCX jobsOracle jobsLooker jobsIndustrial jobsPySpark jobsOpenAI jobsRedshift jobsJira jobsSAS jobsRobotics jobsTypeScript jobsUnstructured data jobs