Role Description LexisNexis Risk Solutions is seeking a strategic and business-oriented Senior Data Scientist to drive Fraud Prevention Score initiatives across Brazil, LATAM, EMEA, and APAC. This role is responsible for advancing analytical capabilities, accelerating fraud prevention innovation, and delivering scalable, governance-driven solutions that support digital identity, risk intelligence, and next-generation fraud strategies. The ideal candidate combines strong technical expertise with business acumen, stakeholder management, and the ability to translate complex analytical initiatives into measurable business impact. - Lead the design, development, validation, and monitoring of fraud prevention models, machine learning solutions, and analytical frameworks. - Drive analytical initiatives supporting Fraud Next Generation strategies, aligning data science capabilities with product, technology, and commercial objectives. - Partner cross-functionally with Product, Technology, Sales, Pre-Sales, Content Acquisition, and Global Analytics teams to deliver scalable business solutions. - Identify opportunities to enhance fraud detection, entity resolution, identity verification, and data intelligence capabilities. - Support the expansion of Decision Trust solutions through customized analytics, proof of concepts, customer engagements, and production-ready implementations. - Provide technical leadership and mentorship to other data scientists, promoting analytical best practices and knowledge sharing. - Ensure alignment with enterprise governance standards, Responsible AI principles, and regulatory requirements. - Communicate analytical findings and recommendations to technical and non-technical stakeholders, including senior leadership. - Contribute to the long-term analytical roadmap, supporting innovation, product development, and scalable growth initiatives. - Evaluate new data assets, analytical methodologies, and emerging technologies that can improve fraud prevention performance. Qualifications - Advanced experience in Data Science, Advanced Analytics, Machine Learning, or related quantitative fields. - Strong background in fraud analytics, digital identity, risk modeling, or financial crime prevention. - Expertise in predictive modeling, machine learning, statistical analysis, and large-scale data environments. - Experience developing and deploying analytical solutions in production environments. - Strong stakeholder management and communication skills, with the ability to influence decision-making across technical and business teams. - Experience working within global and matrixed organizations. - Ability to balance strategic thinking with hands-on analytical execution. - Advanced English communication skills required. - Experience with identity intelligence, contributory data ecosystems, fraud prevention platforms, or risk decisioning solutions is highly preferred. Professional Profile - Strategic and business-oriented problem solver. - Strong technical leader and trusted analytical advisor. - Collaborative, proactive, and results-driven. - Comfortable operating in fast-paced, cross-functional, and international environments. - Passionate about innovation, continuous learning, and delivering measurable business outcomes. Benefits We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. Company Description We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Role Description LexisNexis Risk Solutions is seeking a strategic and business-oriented Senior Data Scientist to drive Fraud Prevention Score initiatives across Brazil, LATAM, EMEA, and APAC. This role is responsible for advancing analytical capabilities, accelerating fraud prevention innovation, and delivering scalable, governance-driven solutions that support digital identity, risk intelligence, and next-generation fraud strategies. The ideal candidate combines strong technical expertise with business acumen, stakeholder management, and the ability to translate complex analytical initiatives into measurable business impact. - Lead the design, development, validation, and monitoring of fraud prevention models, machine learning solutions, and analytical frameworks. - Drive analytical initiatives supporting Fraud Next Generation strategies, aligning data science capabilities with product, technology, and commercial objectives. - Partner cross-functionally with Product, Technology, Sales, Pre-Sales, Content Acquisition, and Global Analytics teams to deliver scalable business solutions. - Identify opportunities to enhance fraud detection, entity resolution, identity verification, and data intelligence capabilities. - Support the expansion of Decision Trust solutions through customized analytics, proof of concepts, customer engagements, and production-ready implementations. - Provide technical leadership and mentorship to other data scientists, promoting analytical best practices and knowledge sharing. - Ensure alignment with enterprise governance standards, Responsible AI principles, and regulatory requirements. - Communicate analytical findings and recommendations to technical and non-technical stakeholders, including senior leadership. - Contribute to the long-term analytical roadmap, supporting innovation, product development, and scalable growth initiatives. - Evaluate new data assets, analytical methodologies, and emerging technologies that can improve fraud prevention performance. Qualifications - Advanced experience in Data Science, Advanced Analytics, Machine Learning, or related quantitative fields. - Strong background in fraud analytics, digital identity, risk modeling, or financial crime prevention. - Expertise in predictive modeling, machine learning, statistical analysis, and large-scale data environments. - Experience developing and deploying analytical solutions in production environments. - Strong stakeholder management and communication skills, with the ability to influence decision-making across technical and business teams. - Experience working within global and matrixed organizations. - Ability to balance strategic thinking with hands-on analytical execution. - Advanced English communication skills required. - Experience with identity intelligence, contributory data ecosystems, fraud prevention platforms, or risk decisioning solutions is highly preferred. Professional Profile - Strategic and business-oriented problem solver. - Strong technical leader and trusted analytical advisor. - Collaborative, proactive, and results-driven. - Comfortable operating in fast-paced, cross-functional, and international environments. - Passionate about innovation, continuous learning, and delivering measurable business outcomes. Benefits We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. Company Description We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Role Description You will own Anyone AI’s data initiatives and proposals to AI labs, from the data proposal or responding to requests, through pilot delivery. You own how we build proposals and develop the sample packages and benchmarks: frontier-grade packages across reasoning, coding, agents, and tool use, multi-modal and others, produced in collaboration with subject-matter experts, with expert-verified ground truth, multi-model headroom results, and QC that survives buyer-side scrutiny. You are the person who designs the sample that demonstrates our quality, converts pilots into production engagements. On a small team, this is the operational center of the Human Data Division. Responsibilities - Proposals & requests: - Study public benchmarks and eval targets, and turn them into proposals and sample packages that demonstrate capability and win the work. - Respond to lab data requests and pilots. - Sample & benchmark development: - Design and build the sample packages, working with subject-matter experts. - Every package meets the bar of our current sample set: - Expert-verified, exact-match-checkable ground truth and gold reasoning trajectories. - Multi-model evaluation showing real headroom, and proof the task discriminates the model, not just that it's hard. - Rigorous QC structure: calibration layers, severity-weighted rubrics, deterministic verifiers, evidence maps, etc. - Subject-matter experts: - Recruit, brief, calibrate, and review a pool of experts across coding, agentic/tool-use, and STEM/reasoning. - Raise their output to our standard and keep it there; be the arbiter of what "correct" and "frontier-difficulty" mean. - Lab relationships: - Be a direct point of contact for lab partners on Slack and calls, with support from the CEO and the wider team. - Keep senior lab contacts informed, surface what they actually need, and pull in the CEO and subject-matter experts when the conversation calls for it. - Pilot delivery: - Own pilots end to end: scoping, SOW, staffing, production, QC, and delivery. - Nothing ships before it's lab-ready, and nothing comes back rejected as "not frontier-level" without us already knowing why. Qualifications - 5+ years in technical delivery, quality, or program management, with recent experience in AI/ML data, model evaluation, or benchmarking. - Hands-on experience delivering data or evaluation work to AI labs or enterprise ML teams, scoping through delivery. - Working fluency with how frontier models are evaluated: benchmarks, rubrics, pass rates, headroom, and what makes a task discriminate a model. - Proven people/vendor leadership, you've recruited, calibrated, and held a team or expert pool to a quality standard. - Fluent English. Spanish is a nice to have. Experience - Originated data or benchmark proposals for AI labs, translated eval targets into sample tasks that demonstrate capability, and owned the engagement through delivery. - Deep evaluation and quality expertise: LLM benchmarking, with real strength in code-model evaluation. - Built QC processes and artifact standards that met enterprise or lab requirements, and set a quality bar a team of experts was held to. - Thrives in ambiguous, fast-moving environments where the rules are still being written, and delivers under pressure.

Role Description - Review and correct annotations for approximately 50 golf videos, each around 20 minutes long. - Focus on quality control, error detection, and correction of existing annotations. - Ensure accurate, consistent, and high-quality annotations through a maker-checker process. - Work independently and under tight deadlines to meet project requirements. - Collaborate with other experts to maintain consistency and quality across annotations. Qualifications - Strong familiarity with golf, including rules, scoring, shot types, player actions, and on-course events. - Prior experience with sports data annotation, QA, or labeling review. - High attention to detail and consistency. - Comfortable working under tight deadlines. Requirements - Contract position. - Compensation: $30/hour. - Location: Remote. - Start Date: 17th June. Application Process - Upload resume. - AI interview based on your resume. - Submit form. Resources & Support - For details about the interview process and platform information, please check: Interview Process . - For any help or support, reach out to: support@mercor.com .