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.
We turn raw security data into strategic business decisions. Create role-based views: Executive Summary, Technical Operations, and Compliance dashboards.
Build integrated Power Platform solutions (Power Automate workflows, Power Apps applications, Power Query data transformations) to streamline processes and enhance user experience. Work cross-functionally with the Data…
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Build integrated Power Platform solutions (Power Automate workflows, Power Apps applications, Power Query data transformations) to streamline processes and enhance user experience. Work cross-functionally with the Data Solutions team and other technical teams on data integration, quality assurance, problem resolution, and implementing data-driven operational solutions.
Build integrated Power Platform solutions (Power Automate workflows, Power Apps applications, Power Query data transformations) to streamline processes and enhance user experience. Work cross-functionally with the Data…
Read full description
Build integrated Power Platform solutions (Power Automate workflows, Power Apps applications, Power Query data transformations) to streamline processes and enhance user experience. Work cross-functionally with the Data Solutions team and other technical teams on data integration, quality assurance, problem resolution, and implementing data-driven operational solutions.
Build integrated Power Platform solutions (Power Automate workflows, Power Apps applications, Power Query data transformations) to streamline processes and enhance user experience. Work cross-functionally with the Data…
Read full description
Build integrated Power Platform solutions (Power Automate workflows, Power Apps applications, Power Query data transformations) to streamline processes and enhance user experience. Work cross-functionally with the Data Solutions team and other technical teams on data integration, quality assurance, problem resolution, and implementing data-driven operational solutions.
You will work closely with data scientists, analysts, and stakeholders to ensure data availability, reliability, and security for our data-driven applications. Roles & Responsibilities We are seeking an experienced AWS…
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You will work closely with data scientists, analysts, and stakeholders to ensure data availability, reliability, and security for our data-driven applications. Roles & Responsibilities We are seeking an experienced AWS Data Solutions Lead to join our data team and play a crucial role in designing, implementing, and maintaining scalable data solutions on Amazon Web Services (AWS).
Translate business requirements to Data Science solutions leveraging strong business acumen. Provide directional guidance and recommendations around data technology, data models, data storage and data analytics.
Responsibilities In this role you will: Work with a strong group of data scientists as we advance our core data artifacts to the next level (Tableau, Redash, etc.) functionally, aesthetically and operationally Develop…
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Responsibilities In this role you will: Work with a strong group of data scientists as we advance our core data artifacts to the next level (Tableau, Redash, etc.) functionally, aesthetically and operationally Develop strong collaborative partnerships with business and operations leaders Provide technical expertise in data visualization, deep business acumen, stakeholder engagement and operational insights via analysis Work with a cross functional team to drive improvement and efficiency in a rapidly scaling and dynamic customer support environment, bringing analytic capabilities and insights to bear Address business challenges, performance bottlenecks and growth opportunities with analytic solutions Playing the role of analytic visualization expert in cross functional teams, focused on measurement of new strategies or initiatives, sizing of opportunities, and understanding of complex systems; always with a mind towards actionable insights and business impact Some Skills And Tools You'll Use Are Analytics: Data visualization, Statistics, data distributions, summary/aggregation methods, operational metric development, ongoing OKR measurement Tools: Tableau, SQL, Redash, R / Python, Excel, etc. statistics, mathematics, physics, econometrics, or computer science) 2+ Years of Experience in Data Science or related fields Proficiency in SQL or another data manipulation programming language (e.g.
This Program is seeking a data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon…
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This Program is seeking a data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows Who You Are Proven past experience as a Data Scientist with programming experience, statistical analysis, machine learning, data wrangling, database management, and data visualization skills. And more Desired Skills Significant MLOPS and Data Science background.
Join our Data & Analytics Operations team, whose mission is to develop, support, and improve analytics operations by delivering data-driven applications that drive efficiencies across the Research, Insights & Analytics…
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Join our Data & Analytics Operations team, whose mission is to develop, support, and improve analytics operations by delivering data-driven applications that drive efficiencies across the Research, Insights & Analytics group in Disney Entertainment (DE). What You Will Do As a Data Science Intern on the Disney Entertainment (DE) Research, Insights & Analytics team, you’ll support the development, evaluation, and ongoing improvement of predictive models that inform advertising and audience dynamics across Disney’s television networks and DTC streaming services (Disney+, Hulu, ESPN+).
Salary tags blend employer provided ranges with Catalitium estimates. We mark ranges with Est. labels, note any missing data, and never inflate compensation to boost clicks.
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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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