Pamata

Staff Data Scientist

catalunya, Spain Uzņēmums: JR Spain Klients / Darba devējs: Heetch
Publicēts: 28.05.2026
Beigu datums: 12.07.2026
Darba atsauce: 471121534642447974432460

Informācija par darbu

Atrašanās vieta
catalunya, Spain
Uzņēmums
JR Spain
Klients / Darba devējs
Heetch
Darba atsauce
471121534642447974432460
Sludinājuma veids
Pamata
Nepieciešama ES darba atļauja
Publicēts
28.05.2026
Beigu datums
12.07.2026

Darba apraksts

About the RoleWe’re looking for a Staff Data Scientist to shape the future of our marketplace through advanced analytics, experimentation, and machine learning. You’ll define the technical direction of data science initiatives, influence product strategy, and mentor other data scientists to elevate our analytical standards and impact.As a Senior Technical Leader, you’ll partner closely with Product, Engineering, and Operations teams to turn data into decisions that improve reliability, growth, and user experience across markets.What You’ll Do- Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods- Define best practices and standards for experimentation, modelling, and analytical excellence across teams- Partner with Product and Engineering leadership to identify and prioritise high-leverage opportunities- Develop and deploy scalable models and data products that drive measurable business outcomes- Mentor and coach other data scientists and analysts, helping them deliver higher-impact work- Communicate insights and recommendations to senior leadership, influencing product and growth strategy- Contribute to Heetch’s data platform evolution, ensuring data quality, reliability, and efficiency at scaleYou’ll Thrive In This Role If You- Have a deep understanding of statistics, experimentation, and causal inference, and know how to apply them pragmatically- Are fluent in Python, SQL, and modern data/ML tooling- Have experience bringing ML models into production and measuring their long-term business impact- Are skilled at translating complex technical findings into actionable business insights- Are a collaborative leader who mentors peers and sets high standards for analytical rigor and impact- Have + years of experience in data science, ideally with – years in a Staff-level or tech-lead capacityNice to Have- Experience in marketplace or pricing systems (supply–demand modelling, matching, or fraud detection)- Experience leading data science guilds, chapters, or communities of practice- Familiarity with MLOps, feature stores, or causal inference frameworksRide with Pride at HeetchWe’re all about building a diverse, inclusive team where everyone feels safe, seen and celebrated. Different backgrounds, perspectives, and vibes? Bring it on. That’s how we grow.And hey — studies show some people (especially women and early-career folks) hold back from applying unless they tick every single box. Don’t do that. If this role sparks something in you, but you’re not sure you match everything — apply anyway. We care about potential, mindset, and energy just as much as experience.Everyone’s welcome on the Ride We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Prasmes

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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