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.
[Applicants: Over 200 applicants | Industry: Insurance | Type: Full-time | Level: Mid-Senior level] Position SummaryThe AI Senior Data Analyst supports advanced analytics and AI initiatives by preparing, analyzing, and…
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[Applicants: Over 200 applicants | Industry: Insurance | Type: Full-time | Level: Mid-Senior level] Position SummaryThe AI Senior Data Analyst supports advanced analytics and AI initiatives by preparing, analyzing, and optimizing data used for machi
[Applicants: Be among the first 25 applicants | Industry: Home Health Care Services | Type: Full-time | Level: Entry level] We are seeking a detail-oriented Accounting Data Entry Specialist – Healthcare Revenue to…
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[Applicants: Be among the first 25 applicants | Industry: Home Health Care Services | Type: Full-time | Level: Entry level] We are seeking a detail-oriented Accounting Data Entry Specialist – Healthcare Revenue to support our Accounting team with ac
Cross-Team Coordination Serve as the liaison between technical configuration teams, data teams, and program stakeholders to ensure alignment on scope, timelines, and handoffs. Work closely with Data Program Managers to…
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Cross-Team Coordination Serve as the liaison between technical configuration teams, data teams, and program stakeholders to ensure alignment on scope, timelines, and handoffs. Work closely with Data Program Managers to ensure data sequencing and readiness activities are integrated into program plans.
Role Summary The Principal, Data Solutions Architect is a senior, technically credible pre-sales role that sits at the intersection of engineering expertise, solution architecture, and go-to-market execution. This role…
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Role Summary The Principal, Data Solutions Architect is a senior, technically credible pre-sales role that sits at the intersection of engineering expertise, solution architecture, and go-to-market execution. This role exists to ensure MathCo brings strong, delivery-grounded technical leadership into enterprise sales conversations across data, analytics, cloud, and AI.
Responsibilities Providing quantitative analytical support to produce country papers and perform data quality checks to ensure integrity of the data. Experience designing data visualizations to demonstrate data trends.
What You’ll Do About the Team The Sales Operations & GTM Analytics team empowers our Sales, Revenue Operations, Marketing, and Finance organizations with the data, insights, and frameworks required to accelerate growth.…
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What You’ll Do About the Team The Sales Operations & GTM Analytics team empowers our Sales, Revenue Operations, Marketing, and Finance organizations with the data, insights, and frameworks required to accelerate growth. Partner with data engineering/analytics teams to ensure data integrity, governance, and readiness for advanced analytics; uphold bes...
We're looking for an experienced Data Scientist to join our Rides Safety team and help build our predictive and automated safety and risk systems - from ...Read more
Scale is looking for a Senior Data Analyst to help advance AI development in the Generative AI sector. You will: Build scalable data assets (dashboards and underlying data models and workflows) to unlock reliable data…
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Scale is looking for a Senior Data Analyst to help advance AI development in the Generative AI sector. You will: Build scalable data assets (dashboards and underlying data models and workflows) to unlock reliable data analytics and insights for growth leads Add contextual layer to data to enable and educate stakeholders on leveraging new data assets that you create Be a proactive partner to your business stakeholders and provide insights and conclusions rather than just data outputs Be a thought partner with the broader Growth organization to simplify and improve existing data assets Deploy AI agents to streamline analytics, creating self serve capabilities Tackle business critical questions by developing hypotheses and testing and iterating on interim results Partner with Data Engineers, Data Scientists, and cross-functional stakeholders to develop business metrics to understand our current performance and influence our roadmaps Ideally You'd Have: 3+ years of industry experience in a highly analytical role Degree in a quantitative field (e.g., Math, Stats, Engineering) Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets.
vor 4 Tagen — This position will be consulting with users to help build solutions that use Python, SQL, Databricks, Snowflake, Azure Synapse, Azure Data Factory, ETL/ ELT and ...
Produce and quality check monthly and quarterly report books for clients from our internal pharmacy data warehouse Review data for reasonableness, and validate data against key performance indicators collected from the…
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Produce and quality check monthly and quarterly report books for clients from our internal pharmacy data warehouse Review data for reasonableness, and validate data against key performance indicators collected from the Pharmacy Benefit Manager vendor (PBM) Learn to perform pharmacy pricing guarantee reconciliations for clients on both a quarterly and annual basis Learn to navigate Lockton’s internal pharmacy data warehouse and reporting. Work with internal data operations team to maintain client data quality.
Easy Apply now by clicking the "Easy Apply" button and sending us your resume.Salary $140,000 - $170,000 per yearA Bit About UsWe’re a global leader in data and AI/ML services and one of the fastest-growing companies in…
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Easy Apply now by clicking the "Easy Apply" button and sending us your resume.Salary $140,000 - $170,000 per yearA Bit About UsWe’re a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. You’ll work alongside some of the brightest minds in data engineering and AI/ML — all driven by a shared passion to solve the toughest data challenges for leading global enterprises.Why join us?Competitive Compensation $140,000 – $190,000+ base salary (depending on experience)Remote-First Work from anywhere in the US with occasional customer-site travel nationwideMassive Growth Be part of a company growing 40% YOY, creating career advancement opportunitiesCutting-Edge Tech Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and moreAward-Winning Culture Collaborative, inclusive, and committed to professional developmentLearning & Development Accelerated training, advanced certifications, and exposure to AI/ML innovationTime Off & Benefits 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perksJob DetailsWe’re seeking a Solutions Architect who thrives at the intersection of data engineering solutions.
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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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