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: Research Services | Type: Full-time | Level: Mid-Senior level] About The TeamThe Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and…
Read full description
[Applicants: Over 200 applicants | Industry: Research Services | Type: Full-time | Level: Mid-Senior level] About The TeamThe Intelligence and Investigations team seeks to rapidly identify and mitigate abuse and strategic risks to ensure a safe onli
[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] As a Data Scientist at Meta, you will shape the future of people-facing and business-facing…
Read full description
[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our ent
[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] As a Data Scientist at Meta, you will shape the future of people-facing and business-facing…
Read full description
[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our ent
[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] As a Data Scientist at Meta, you will shape the future of people-facing and business-facing…
Read full description
[Applicants: Over 200 applicants | Industry: Technology, Information and Internet | Type: Full-time | Level: Not Applicable] As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our ent
[Applicants: Over 200 applicants | Industry: Financial Services | Type: Full-time | Level: Mid-Senior level] Join Us!Take the next step in your journey at Inspira Financial. You will help businesses and individuals…
Read full description
[Applicants: Over 200 applicants | Industry: Financial Services | Type: Full-time | Level: Mid-Senior level] Join Us!Take the next step in your journey at Inspira Financial. You will help businesses and individuals thrive today, tomorrow, and into r
This is a hands-on role involving large-scale industrial datasets and modern open-source tools to build forecasting, anomaly detection, predictive maintenance, generative, and agentic AI solutions. Key Responsibilities…
Read full description
This is a hands-on role involving large-scale industrial datasets and modern open-source tools to build forecasting, anomaly detection, predictive maintenance, generative, and agentic AI solutions. Key Responsibilities Translate manufacturing, quality, supply chain, and service challenges into clear ML and analytics problem statements Select appropriate modeling approaches (statistical, ML, deep learning) aligned with KPIs such as OEE, FTR, downtime, scrap, rework, and cost Analyze large datasets including time-series sensor data, quality inspection data, maintenance, and warranty data Develop: Demand forecasting models (Prophet, ARIMA) Propensity-to-buy models Anomaly detection and predictive maintenance solutions Experiment with Generative AI for: Synthetic data generation Private RAG systems Agentic AI workflows Build agentic AI solutions to automate and enhance operational processes Collaborate with AI Engineering and MLOps teams for production deployment Ensure model explainability, bias mitigation, monitoring, and performance validation Promote an innovation-driven culture through experimentation and knowledge sharing Required Skills & Experience 5+ years of experience as a Data Scientist Mandatory: Experience working in a new-age startup environment Strong hands-on expertise in: Regression, classification, clustering Time-series modeling Tree-based models and deep learning Experience with model monitoring, retraining strategies, and root cause analysis Strong exposure to Generative AI, including: Fine-tuning LLMs (e.g., Meta Llama) Synthetic data creation Agentic systems Demonstrated AI-led innovation mindset Ability to showcase code or projects (GitHub, notebooks, prototypes) Experience handling unstructured data (sensor logs, PDFs) Knowledge of ethical and responsible AI practices Preferred Qualifications Experience preparing data for computer vision or agentic AI systems Public GitHub portfolio or open-source contributions Interest and hands-on exposure to emerging trends such as: Multimodal models Autonomous agents Real-time analytics Show less [{"type":"people_also_viewed","href":"https://in..com/jobs/view/sr-manager%E2%80%93-data-science-at-tata-play-ltd-4360598041","jobId":"4360598041","label":"Sr.
[Applicants: Sii tra i primi 25 candidati] Your missionYou will be in charge of developing next-generation fraud prevention systems by applying advanced analytics, machine learning, and pattern recognition techniques.…
Read full description
[Applicants: Sii tra i primi 25 candidati] Your missionYou will be in charge of developing next-generation fraud prevention systems by applying advanced analytics, machine learning, and pattern recognition techniques. Rather than having a predetermi
[Applicants: Be among the first 25 applicants | Industry: Architecture and Planning and Civil Engineering | Type: Full-time | Level: Not Applicable] What We're Looking ForAt HNTB, you can create a career that is…
Read full description
[Applicants: Be among the first 25 applicants | Industry: Architecture and Planning and Civil Engineering | Type: Full-time | Level: Not Applicable] What We're Looking ForAt HNTB, you can create a career that is meaningful to you while building comm
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.
Currency harmonized to USD/EUR/GBP/CHF to avoid surprises.
Outliers are reviewed manually before they appear on a card.
Sponsored employers follow the same disclosure and pay rules.
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.
Save this search and get a weekly digest of top matches.
Includes salary signal. No spam.
