This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a Data Science Engineer to join our Revenue Intelligence team at Veeam Software. This role is ideal for someone who thrives in a fast-paced environment, enjoys building scalable data solutions, and is passionate about driving business impact through analytics, machine learning, and AI. - Design and implement data science, ML, and AI solutions to support strategic decision-making. - Conduct deep-dive ad hoc analyses—both quantitative and qualitative—to inform business hypotheses and guide improvements. - Contribute to cross-functional projects involving data science, ML, and AI use cases. - Collaborate with Data Quality and Data Warehouse teams to reconcile data discrepancies and integrate new data sources. - Support data analysis needs for QBRs, Summits, and All Hands meetings. - Help develop and refine processes to ensure business solutions align with strategic goals. - Partner with stakeholders to deliver actionable insights and recommendations. - Continuously improve existing processes and identify opportunities for efficiency gains. Qualifications - Minimum 5+ years of professional experience as a data scientist or similar role. - Bachelor’s Degree required (a combination of education and experience will be considered). - English Advanced. - Proficiency in Python and SQL. - Experience building scalable data science solutions (feature engineering, model training/testing, evaluation, deployment, ML operations). - Familiarity with data engineering concepts (data modeling, ETL/ELT, pipelines, storage optimization, governance). - Understanding of software development practices (version control, APIs, testing, deployment). - Experience integrating LLMs into code (prompt engineering, RAG systems, MCP). - Familiarity with data visualization tools (Tableau, Power BI, Qlik, or equivalent). - Strong problem-solving, communication, and analytical skills. - Technical writing experience. - Hands-on experience with Databricks or PySpark. - Familiarity with project management tools (Jira, Trello, Confluence). Requirements - Builder mindset—excited to create solutions from the ground up. - Ability to collaborate with both technical and non-technical stakeholders. - Strong organizational skills and proactive communication. - Proven success in managing abstract, cross-functional projects. - Analytical reasoning and data-driven problem-solving capabilities. - Ability to manage multiple priorities and meet tight deadlines. Benefits - 18 paid vacation days, plus three global VeeaMe Days for self-care and 24 volunteer hours annually. - Private medical coverage for you and up to four dependents. - Life, accident, and disability insurance with enhanced coverage. - Wellbeing allowance for physical and mental wellness. - Free confidential counselling and coaching via Employee Assistance Programme (EAP). - Meal, fuel, and transportation benefits based on work arrangement. - Daycare reimbursement and safe cab facility for eligible employees. - Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program.

Opportunity Overview Handshake is looking for skilled QGIS users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with geographic information systems, spatial data analysis, or environmental mapping to evaluate AI-generated content and provide feedback that helps AI better understand GIS tasks and spatial data workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced QGIS user who has worked in or around roles like: - Spatial Data Scientist or GIS Analyst - Environmental Scientist or Conservation Ecologist - Urban Planner or Environmental Analyst You should have solid experience with one or more of the following: - Spatial analysis, environmental mapping, or geospatial data workflows using QGIS or ArcGIS - Remote sensing, urban planning data, or conservation mapping workflows - Annotating or labeling spatial datasets and geographic assets - Reviewing maps and spatial outputs for accuracy, data integrity, or scientific consistency What You'll Do You'll use your experience with QGIS to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world GIS and spatial data workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have: - At least 3+ years of hands-on experience with QGIS, whether through professional work or freelance projects - A working knowledge of GIS concepts, spatial analysis, and geospatial data workflows - Strong written communication skills and attention to detail - The ability to work independently and follow written guidelines Application Process - Create a Handshake account - Upload your resume and verify your identity - Get matched and onboarded into relevant projects - Start working and earning Work Model and Project Details - Status: Independent contractor (not a full-time employee role) - Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer - Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active project - Duration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become available Work Authorization F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

Opportunity Overview Handshake is looking for skilled ParaView users to support AI research through flexible, hourly contract work. This is not a traditional job. You'll draw on your hands-on experience with scientific visualization, fluid dynamics simulation, or large dataset analysis to evaluate AI-generated content and provide feedback that helps AI better understand computational science tasks and HPC workflows. This is an ongoing, project-based opportunity you can take on alongside anything else you have going on. Who This Is For This is a good fit if you're an experienced ParaView user who has worked in or around roles like: - Computational Fluid Dynamics Engineer or Research Scientist - Aerospace Engineer or Applied Mathematician - HPC Specialist or Computational Scientist You should have solid experience with one or more of the following: - Scientific visualization, CFD post-processing, or large dataset analysis using ParaView - Fluid dynamics simulation, VTK workflows, or HPC data pipelines - Annotating or labeling simulation outputs and scientific datasets - Reviewing visualization results for accuracy, performance, or scientific consistency What You'll Do You'll use your experience with ParaView to create tool-related questions and review AI-generated responses for accuracy and relevance to real-world CFD and scientific visualization workflows. No prior AI or technical experience is required. Qualifications We're looking for people who have: - At least 3+ years of hands-on experience with ParaView, whether through professional work or freelance projects - A working knowledge of CFD post-processing, scientific visualization concepts, and HPC workflows - Strong written communication skills and attention to detail - The ability to work independently and follow written guidelines Application Process - Create a Handshake account - Upload your resume and verify your identity - Get matched and onboarded into relevant projects - Start working and earning Work Model and Project Details - Status: Independent contractor (not a full-time employee role) - Location: Fully remote; work from anywhere with a reliable internet connection and access to a desktop or laptop computer - Schedule: Flexible and asynchronous, with no minimum hour requirement. Many contributors work approximately 5–20 hours per week when assigned to an active project - Duration: The Handshake AI program runs year-round, with projects opening periodically across different areas of expertise. Placement depends on current project needs, with opportunities to be considered for future projects as they become available Work Authorization F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school's requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to safeguard platform integrity and protect users from fraud, abuse, and harmful behavior by leveraging advanced data science and analytics. You will design and implement robust data foundations, predictive models, and measurement frameworks that inform and shape safety strategies across the organization. - Analyze large-scale, complex datasets to detect fraud, abuse, and harmful behavior trends. - Design, build, and evaluate statistical models, heuristics, and machine learning systems for proactive fraud and abuse detection. - Develop predictive risk scoring, anomaly detection, and behavioral profiling systems. - Lead experimentation (A/B testing, causal inference) to assess product or policy changes and guide decision-making. - Define and track core safety metrics, dashboards, and reporting frameworks to monitor platform health and performance. - Collaborate cross-functionally to influence strategy, standardize analytical approaches, and ensure scalable data-driven decisions. - Communicate insights and recommendations effectively to technical and non-technical stakeholders. Qualifications - Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field. - 5+ years of experience in Data Science with large-scale data analysis; at least 1 year in fraud prevention, moderation, or risk. - Strong analytical and problem-solving skills with experience leading projects from concept to execution. - Proficiency in SQL and at least one scripting language (Python or R). - Hands-on experience with standard ML and statistical methods (prediction, classification, anomaly detection, time series). - Expertise in experimentation and causal inference to evaluate product or policy changes. - Strong cross-functional collaboration and influence skills without direct authority. - Excellent communication skills to translate technical concepts for non-technical stakeholders. Requirements - 2+ years in fraud prevention, moderation, or risk on a social platform. - Experience with anomaly detection and building/deploying ML models. - Experience working with text, image, or behavioral datasets. Benefits - Competitive base salary range of $175,000—$234,000 USD, with equity grants and potential for higher based on experience. - Comprehensive healthcare options and flexible benefits. - Retirement savings and income protection programs. - Paid time off, including flexible vacation and volunteer opportunities. - Inclusive, hybrid work environment with collaboration across multiple offices. - Professional development and recognition programs.