Data science roles bridge statistics, programming, and business intelligence. Demand is strong across all sectors (from fintech to e-commerce), with Python, SQL, and cloud data platforms (Snowflake, BigQuery, dbt) as the core stack.
As a Statistical Data Scientist, you will embed yourself within the product development team as a trusted partner to prepare for product releases, measure outcomes, and uncover new opportunities for growth. This role…
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As a Statistical Data Scientist, you will embed yourself within the product development team as a trusted partner to prepare for product releases, measure outcomes, and uncover new opportunities for growth. This role focuses on using data to enhance user experience and improve product performance through thoughtful experimentation, measurement, and analysis.
3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Preferred qualifications: 5 years of work…
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3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Preferred qualifications: 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Design and develop robust data architecture solutions using Snowflake Collaborate with data engineers and analysts to optimize data pipelines Implement data migration strategies and best practices Enhance performance…
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Design and develop robust data architecture solutions using Snowflake Collaborate with data engineers and analysts to optimize data pipelines Implement data migration strategies and best practices Enhance performance tuning and query optimization for Snowflake environments Ensure data governance, security, and compliance within Snowflake Conduct code reviews and ensure adherence to standards Provide technical guidance and mentorship to junior team members Work with stakeholders to understand data requirements and deliver solutions Show less
Data Architect with Snowflake Location - Los Angeles, CA (Onsite) Key Skills Data Architecture and Modelling Snowflake & DBT Kafka Airflow Data & Insights Platform Architecture AWS Cloud Familiarity Nice to have skills…
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Data Architect with Snowflake Location - Los Angeles, CA (Onsite) Key Skills Data Architecture and Modelling Snowflake & DBT Kafka Airflow Data & Insights Platform Architecture AWS Cloud Familiarity Nice to have skills Stardust, Debezium, Estuary -- Warm Regards! Dheeraj Patel US IT Recruiter ID: - https://www..com/in/dheeraj-patel-8b451825b/ Email: dheeraj.patel@quantumworldit.com “Together we can build a Better Tomorrow” Show less
Quick Interview Data Architect C2C Los Angeles, CA( onsite ) Data Architect Location - Los Angeles, CA( onsite ) C2C Key Skills Data Architecture and Modelling Snowflake & DBT Kafka Airflow Data & Insights…
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Quick Interview Data Architect C2C Los Angeles, CA( onsite ) Data Architect Location - Los Angeles, CA( onsite ) C2C Key Skills Data Architecture and Modelling Snowflake & DBT Kafka Airflow Data & Insights Platform Architecture AWS Cloud Familiarity Nice to have skills Stardust, Debezium, Estuary Harsh Jain Sr.Technical Recruiter harsh.jain@quantumworldit.com .com/in/harsh-jain-a7b541b0 18059094497 Show less
Data Engineering Fundamentals: Expertise in ETL/ELT processes, data pipelines, data modeling, schema design, and data warehousing. Data Governance: Strong understanding of RBAC/ABAC, Data Lineage, Data leak prevention,…
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Data Engineering Fundamentals: Expertise in ETL/ELT processes, data pipelines, data modeling, schema design, and data warehousing. Data Governance: Strong understanding of RBAC/ABAC, Data Lineage, Data leak prevention, Data security, and compliance.
Job Title: Product and Subscription Data Analyst, Scientific American Location: New York or Washington DC (Hybrid Working Model) Reports to: Manager, Data & Insight, Scientific American About Springer Nature Springer…
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Job Title: Product and Subscription Data Analyst, Scientific American Location: New York or Washington DC (Hybrid Working Model) Reports to: Manager, Data & Insight, Scientific American About Springer Nature Springer Nature is one of the leading publishers of research in the world. Scientific American is published by Springer Nature.
Team Description The AI Foundations – AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. You have…
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Team Description The AI Foundations – AI Software Engineering Data Science team designs, builds, and delivers state-of-the-art, scalable AI architectures that transform how software is developed at Capital One. You have hands-on experience developing data science solutions using open-source tools and cloud comp...
JOB DESCRIPTION Can design, develop, implement and maintain database systems to support business needs Experience in: -Database creation and maintenance -Database testing -Problem resolution -Management of database…
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JOB DESCRIPTION Can design, develop, implement and maintain database systems to support business needs Experience in: -Database creation and maintenance -Database testing -Problem resolution -Management of database integration activities. Expertise as database engineer/administrator for any of the relational database management systems: MongoDB and PostgreSQL #LI-CGTS #TS-2942 Show less
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Yes. Remote-friendly AI and ML roles in the EU have grown over 30% year-on-year. Germany, France, the Netherlands, and Spain lead in volume. Use the AI and EU filters together to surface them quickly, and check the salary estimate badge to ensure the range meets your expectations.
How fresh are the job postings?
Listings are refreshed continuously from employer feeds and normalised daily. Each card shows a posted date pill so you can see exactly how old a listing is. Jobs posted within the last 7 days receive a green New badge. Listings older than 30 days receive a May be filled warning.
Do roles include salary estimates?
Yes. Most listings show an Est. salary pill derived from Catalitium's location-based salary database, blended with any employer-disclosed range. Senior and lead roles receive an automatic seniority uplift. If a salary range is genuinely unknown we leave the field blank rather than show a misleading estimate.
What is a ghost job and how do I spot one?
A ghost job is a listing that has been live for 30+ days and is likely already filled, on hold, or was never a real opening. Research suggests up to 40% of active listings at any time are ghost jobs. Catalitium flags every listing older than 30 days with a triangle May be filled badge so you can prioritise your energy on fresh openings.
What are the highest-paying tech roles right now?
AI and ML engineer roles currently command the highest median salaries on Catalitium, around $150k–$200k USD in the US and EUR 100k–EUR 160k in Europe. Principal and Staff Engineer roles come close, followed by senior full-stack and cloud infrastructure engineers. Use the >100k filter to see only high-compensation listings.
How do I negotiate a higher salary offer?
Reference Catalitium's salary data when negotiating: show the employer the market range for your role and region. Studies show engineers who negotiate receive 10–20% more than the initial offer on average. If base salary is fixed, push on equity, signing bonus, remote allowance, and learning budget. See our Salary Negotiation Guide in the Resources section.
Which European cities pay the most for tech?
Zurich and Geneva (Switzerland) consistently top European tech salaries, followed by London, Amsterdam, Berlin, Paris, and Stockholm. Swiss salaries are typically quoted in CHF and translate to EUR 100k–160k for mid-senior roles. London follows at GBP 70k–110k. Berlin and Amsterdam are competitive at EUR 70k–100k for comparable experience levels.
Can I track my job applications on Catalitium?
Yes. Our free Application Tracker lets you move roles through a Kanban pipeline: Applied, Phone Screen, Interview, Offer, and Closed. It requires no account and stores everything privately in your browser. Hit the Track button on any job card to add it. You can also export your full pipeline as a CSV.
How does Catalitium differ from LinkedIn Jobs?
LinkedIn optimises for engagement and premium upgrades. Catalitium is built exclusively for tech candidates who want signal over noise: every listing shows salary estimates, ghost jobs are flagged, AI-powered summaries save you time reading descriptions, and the application tracker replaces the black-hole Easy Apply experience. No premium paywall, no recruiter spam.
Can I filter to remote-only jobs?
Yes. Choose Remote in the location/country field or tap a Remote shortcut chip. Results are limited to roles that advertise remote or hybrid where the listing text supports it, and remote-friendly rows show a Remote badge.
Which tech stacks are most in demand?
Across Catalitium tech listings, Python, TypeScript/JavaScript, Go, Java, and cloud platforms (AWS, GCP, Azure, Kubernetes) recur most often; AI and data roles add PyTorch, TensorFlow, and LLM tooling. Title and AI summary chips reflect the employer's stated stack.
Which Swiss cities pay the most for software roles?
Zurich and Geneva typically lead Switzerland for software, data, and platform engineering compensation; smaller hubs follow at a discount. Swiss ranges often sit above neighbouring EU markets for comparable seniority—check Est. salary on each card when you filter by Switzerland.
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