Role Description As a Senior Data Scientist at Cint, you will play a pivotal role in developing next-generation AI solutions that power our product portfolio. Collaborating closely with Product and Engineering teams, you will bridge the gap between traditional research data and synthetic intelligence. You will focus on the research, validation, and delivery of models—including Large Language Models (LLMs)—that augment high-quality human signals across the Cint Exchange. This role involves advanced data mining, robust data validation, and the development of sophisticated statistical and machine learning methodologies. The ideal candidate can independently research, develop, and maintain high-impact solutions that align Cint’s AI capabilities with market research trends, directly influencing strategic decisions for Cint’s proprietary synthetic data platform. Responsibilities - Lead the research, discovery, and development of machine learning models - specifically focused on synthetic row generation, open-ended text generation, and data augmentation. - Design and drive advanced statistical methods and complex experiments to validate LLM performance and synthetic modeling hypotheses. - Develop logic for on-demand and dynamic boosting capabilities, collaborating with Engineering to integrate these models into Cint Exchange fielding workflows. - Design and refine sophisticated profiling taxonomies, leveraging large-scale datasets to create syndicated audiences. - Independently manage complex project planning, development, and maintenance end-to-end with minimal supervision. - Partner with Product, Engineering and Strategy teams to align technical AI delivery with business goals, ensuring a seamless transition from MVP to scaled integration. - Create clear, effective prototypes and deliverables that explain and defend complex Generative AI concepts to both technical and non-technical audiences. Qualifications - Minimum 5 years of experience in a Data Science capacity, with a track record of leading complex projects. - A Master's degree (or equivalent) in Statistics, Data Science, or a related quantitative field. - Deep understanding of Generative AI and LLMs, particularly for applications in text generation and data synthesis. - Advanced knowledge of statistical techniques: hypothesis testing, sampling theory, experimental design, and causal inference. - Strong knowledge of a variety of ML techniques (e.g., clustering, regression, neural networks, etc.) and their real-world trade-offs. - Expert proficiency in Python (DS/ML stack) and experience with frameworks used for LLM development and fine-tuning. - Advanced SQL skills and experience working with large-scale databases. - Ability to research and adopt new methods while mentoring junior colleagues on their application. Essential Qualities - Highly accountable self-starter and quick learner, consistently motivated to deliver high-quality, impactful results. - Strong data-driven mindset with the ability to translate abstract business requests into actionable AI initiatives and solutions. - Excellent written and verbal communication skills, with the ability to explain and defend complex AI concepts to non-experts. Nice to Have - Direct experience with Synthetic Data Generation techniques and the evaluation of synthetic data quality/utility. - Experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), or fine-tuning open-source LLMs for open-end generation. - Experience with probabilistic modeling, or advanced profiling techniques. - Familiarity with online market research or survey exchange platforms. - Experience using Databricks, Spark, or PySpark for large-scale workflows. Company Description Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours. We’re proud to be recognised in Newsweek’s 2025 Global Top 100 Most Loved Workplaces®, reflecting our commitment to a culture of trust, respect, and employee growth. In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries. Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)

• Define and execute the enterprise data management strategy aligned with AI and Innovation initiatives • Design foundational data architecture including cloud data platforms, data warehouses or lakehouses, and integration layers • Build and scale the enterprise data function, including hiring and developing data architects, engineers, analysts, and stewards • Establish and operationalize data governance, data quality, privacy, security, and compliance frameworks • Integrate data from ERP, CRM, MES, WMS, and other systems into a unified, trusted analytics platform • Evaluate and implement modern data platforms and tools including cloud infrastructure, integration tools, and data management systems • Partner with business and technology teams to translate data into actionable insights and operational value • Ensure data is structured and accessible to support AI, machine learning, and advanced analytics use cases • Define KPIs to measure data quality, adoption, and business impact of data initiatives • Promote data literacy and foster a culture of data-driven decision-making across the organization • Develop disaster recovery, business continuity, and data protection strategies • Lead and promote healthy and safe work practices as required by regulatory agencies and Company policy.

Utilize data science expertise to analyze complex datasets, develop algorithms, and guide teams in delivering actionable insights. Collaborate with clients to address their data needs and support informed decision-making.

Title: Data Scientist (PhD) Location: New York - New York time type Full time Hybrid job requisition id R-01307 Job Description: Data Scientist New York, NY Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate an environment of continuous growth and collaboration. Our work impacts what millions of people read, watch, and buy, and we're looking for people to help us tackle that responsibility with creativity and focus. Magnite (NASDAQ: MGNI) is the world's largest independent sell-side advertising platform. Publishers use our technology to monetize their content across all screens and formats including CTV / streaming, online video, display, and audio. Our tech fuels billions of transactions per day! In this role you will: - Transition from academia to industry. - Make sense of complex marketplace data at webscale and perform noncommoditized data work. - Develop scalable statistical algorithms and predictive models to support real-time decision making in a high frequency ad marketplace. - Collaborate cross functionally with product managers, and engineers to define KPI's, evaluate A/B tests, perform casual inference, and use data to inform product decisions. - Apply the creative problem solving skills you learned in academia to business problems. - Work in a collaborative team environment with high personal accountability. We're looking for someone with: - Python fluency. - A PhD in a STEM field with a computational focus. (Both physical and social scientists are encouraged to apply.) - Mathematical and statistical fluency. (Should be comfortable with calculus, linear algebra, statistics, and numerical analysis.) - Familiarity with both llm's and classical machine learning techniques. - Excellent written and verbal communication skills. In NY, the base salary range for this role is $125,000 - $135,000. Actual compensation will be determined based on location, experience, skills, and internal equity. This role is also eligible for: - Annual performance-based bonus - Equity (NASDAQ: MGNI) - Comprehensive benefits package During the interview process, candidates will receive more specific information about the salary range applicable to their experience and location. Perks and Benefits: - Comprehensive Healthcare Coverage from Day One - Generous Time Off - Holiday Breaks and Quarterly Wellness Days - Equity and Employee Stock Purchase Plan - Family-Focused Benefits and Parental Leave - 401k Retirement Savings Plan with Employer Match - Disability and Life Insurance - Cell Phone Subsidy - Monthly Fitness and Reimbursement Career Growth: We support internal mobility, skill development, and leadership pathways through structured career frameworks and learning programs. Company Culture: Magnite's culture is rooted in collaboration and connection, recognizing that both are essential to success. Our hybrid schedule includes two remote workdays (Monday and Friday) and three in-office days (Tuesday through Thursday), where employees can take advantage of catered lunches, beverages, snacks, training opportunities, and engaging office events that enhance the work experience. In addition, we support our team through meaningful benefits and programs, including community service and volunteer opportunities, company-matched charitable contributions, access to mental health resources, structured career development initiatives and growth frameworks, culture and inclusion programs, and our Bonusly peer-to-peer recognition platform. About Us The world's leading agencies and brands trust our platform to access brand-safe, high-quality ad inventory and execute billions of advertising transactions each month. Anchored in bustling New York City, sunny Los Angeles, mile-high Denver, historic London, and down under in Sydney, Magnite has offices across North America, EMEA, LATAM, and APAC. Magnite is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation or any other federal, state or local protected class. Our Commitment: We aim to incorporate a wide range of voices into our Magnite culture, cultivating an environment where employees feel welcomed, cared for, and encouraged to freely share ideas. We are committed to employee growth, collaboration, inclusion, and innovation. We invest in Magnite's local communities. We seek talent from all backgrounds to champion corporate values of seeing the big picture and being catalysts of change.