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.
About The Strategic Data Scientist Role As a Strategic Data Scientist at Keystone, you will design and deploy analytical models, machine learning systems, and investigative workflows that support expert testimony,…
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About The Strategic Data Scientist Role As a Strategic Data Scientist at Keystone, you will design and deploy analytical models, machine learning systems, and investigative workflows that support expert testimony, litigation strategy, and regulatory advisory in areas such as AI, cybersecurity, and platform governance. Key Responsibilities Work with an interdisciplinary team on litigation cases spanning AI, data analytics, digital risk, emerging technology governance, and regulatory compliance Build analytical models, investigative workflows, and technology assessments Build, test and operationalize machine learning models, large language models (LLMs), and analytical pipelines that scale across projects Contribute to the development of internal tools, libraries, and frameworks that enhance analytical consistency and scalability What You’ll Bring Advanced graduate degree in Computer Science, Engineering, Mathematics, Statistics, or related technical field 4+ years of relevant professional experience analyzing large volumes of qualitative and quantitively data (JSON, CSV) to support complex strategic initiatives Fluency in Python and SQL for data analysis Advanced knowledge of many core technologies and programming paradigms Specific domain expertise in a field such as AI/ML, Cybersecurity, Data Science, Distributed Computing, NLP, or Blockchain Desire to work in a fast-paced, self-directed entrepreneurial environment Analytical skills with a keen understanding of financial and operational levers Ability to manage multiple complex work streams and work across organizationa...
Junior Data Analyst Worksite Location: Washington, DC 9:00am -3:00pm onsite 5 days a week Job Duration: 12 Months with extension or convert Must Haves: 1-2+ years of Experience in Data Analytics, Data Science, or…
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Junior Data Analyst Worksite Location: Washington, DC 9:00am -3:00pm onsite 5 days a week Job Duration: 12 Months with extension or convert Must Haves: 1-2+ years of Experience in Data Analytics, Data Science, or related field (internship) Python scripting experience Experience utilizing python for data cleansing Experience working as a consultant to a government customer Strong Excel experience (pivot tables and v look ups) Strong communication, professionalism, and the ability to work with end users to gather data Active Top Secret clearance Bachelor's degree or higher (will consider experience in lieu of degree for a total of 7 YOE) Pluses: Experience building dashboards with PowerBI, PowerAutomate, or MS Forms Higher education in a Business or Math related field Experience supporting DOJ Day to Day: A client in the DC area is looking to add a Junior Data Analyst to join their team. In this position you will be responsible for working with the end client to gather data and information and putting this data into readable dashboards and reports.
The Junior Data Analyst will work closely with the data management team to collect, analyze, and interpret data to support business needs. Day-to-day responsibilities include preparing reports, maintaining data systems,…
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The Junior Data Analyst will work closely with the data management team to collect, analyze, and interpret data to support business needs. Day-to-day responsibilities include preparing reports, maintaining data systems, generating data insights, and troubleshooting data-related issues.
Citizen, L2s, L2-EAD, or J2-EAD. Supports Enterprise Payments and Enterprise Fraud Protection platforms, ensuring solutions align with enterprise architecture standards and future business needs.
we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. Roles/Responsibilities: Developing, supporting, and monitoring end-to-end data pipelines using…
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we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. Roles/Responsibilities: Developing, supporting, and monitoring end-to-end data pipelines using Microsoft Azure data services (including Azure Data Factory) across SaaS, PaaS, and IaaS solutions.
Description: The Data Platform Engineering team supports CI/CD and infrastructure for our integrated Data Fabric platform. The Data Platform Engineer will work with cloud engineers, data engineers, system…
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Description: The Data Platform Engineering team supports CI/CD and infrastructure for our integrated Data Fabric platform. The Data Platform Engineer will work with cloud engineers, data engineers, system administrators, data administrators and architects to find opportunities to leverage DevOps technologies to process large volumes of data.
Key Responsibilities: Database Development & Optimization: Design, develop, and maintain complex database systems using Oracle, SQL, and PL/SQL. Proficiency in database design, optimization, and performance tuning.
Role: Senior Data Scientist Location: Boston MA (5 days onsite) Duration: Long Term Contract Responsibilities: Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, or a related…
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Role: Senior Data Scientist Location: Boston MA (5 days onsite) Duration: Long Term Contract Responsibilities: Bachelor's or master's degree in data science, Statistics, Mathematics, Computer Science, or a related field. 8+ years of experience in data science, with a strong focus on forecasting and predictive analytics.
Strong work experience - Agile environment preferred Data Engineer (Big Data – Hadoop, Green Plum, etc. Implement data quality checks, monitoring, and orchestration workflows for timely and accurate data delivery.
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.
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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?
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Do roles include salary estimates?
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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.
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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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