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PureSpectrum makes it easy for researchers to find and source survey takers with speed and confidence.
The Role
The Senior Data Scientist will architect real-time fraud detection systems, process large data sets, mentor teams, communicate findings, and innovate using AI technologies for effective risk management.
Summary Generated by Built In
Who We Are:
PureSpectrum is a rapidly growing market research and insights platform that simplifies technology, allowing researchers to gather and activate consumer data without disruption. As the go-to solution for high-quality multi-sourcing and fully automated research, PureSpectrum is helping to shape the future of insights.
Our Marketplace facilitates over 65 million online interviews annually, and our proprietary respondent-level scoring system—PureScore—continues to set the industry standard for data quality and reliability.
Recognized globally for both innovation and culture, PureSpectrum has been named one of Newsweek’s Global Most Loved Workplaces (2023–2025), included in Inc.’s Best Workplaces (2024-2025), certified as a Great Place to Work (2022–2025), and featured on Built In’s Best Places to Work list (2023–2025). PS is rapidly becoming the leading solution for quality multi-sourcing and end-to-end automated research solution.
The Opportunity:
We are looking for a Data Scientist to join our Data Science & AI team in Hyderabad. In this role, you will bring your deep expertise in fraud detection and threat mitigation, into the dynamic ecosystem of Market Research. We need a highly technical, hands-on builder who can architect real-time anomaly detection systems and isn't afraid to get into the weeds of feature engineering and distributed computing.
Beyond core fraud detection, you will act as a technical leader and trusted advisor. You will design Agentic AI systems to automate process workflows, build core product analytics, and guide cross-functional teams (PMs and engineering) through modeling choices. You understand that deploying ML is as much a people and business challenge as it is a technical one, and you thrive in a high-velocity, dynamic environment.
Location: Hyderabad, India - 3 days in office requirement
What You’ll Do
- Architect Real-Time Risk & Fraud Systems: Design, train, and deploy high-throughput machine learning models to detect identity spoofing, survey fraud, and bot nets. Expand these capabilities into broader cybersecurity risk scoring, threat intelligence, and vendor risk assessments.
- Process large scale transaction data: Build robust, distributed data pipelines to ingest massive transaction volumes. Perform deep exploratory data analysis (EDA) to identify complex behavioral patterns and anomalies.
- Lead Technical Groundwork & Best Practices: Take ownership of the end-to-end ML lifecycle. Drive engineering excellence by actively contributing to code reviews, system design discussions, and establishing robust data science methodologies across the team.
- Cross-Functional Prototyping & Expansion: Translate ambiguous customer and business needs into concrete ML solutions. Design and build prototypes across varied platform use cases, optimizing data quality and sample delivery. Design and interpret back tests or offline evaluations for ML and rules-based systems.
- Drive Agentic AI Innovation: Build autonomous AI agents (leveraging LLMs and RAG) to monitor external channels (e.g., scraping online forums for threat intelligence), enforce data quality, and automate operational overhead like code documentation.
- Advise & Communicate: Effectively communicate modeling choices, trust, and interpretability while delivering demos, executive presentations, and clear rollout plans.
What You Bring (Must-Haves)
- Education: Advanced degree (Master’s) in a quantitative STEM field (Computer Science, Statistics, Mathematics, Engineering, Physics) or equivalent professional experience solving complex analytical problems.
- Experience: 5+ years of hands-on, production-level experience applying data science to real-world challenges, ideally within a high-growth tech, cybersecurity, or product-driven startup environment.
- Advanced ML & Stats Fundamentals: Deep theoretical and practical knowledge of statistical modeling, anomaly detection, evaluation metrics, and experimentation frameworks.
- Programming Mastery: Production-level coding proficiency in Python and advanced SQL.
- Cloud & ML Frameworks: Deep expertise with traditional ML libraries (Scikit-learn, XGBoost) and modern cloud-based MLOps pipelines (AWS, GCP, Databricks, MLFlow).
- Domain Expertise: A proven track record in fraud detection, cybersecurity, threat intelligence, or risk scoring.
- Communication & Leadership: Excellent stakeholder-management skills. You are comfortable navigating diverse teams, partnering with product management, and communicating complex findings to non-technical audiences.
Nice-to-Haves
- GenAI & LLMs: Genuine enthusiasm and hands-on exposure to modern LLMs, modern modeling approaches, and deploying Agentic AI for business workflows.
- Intellectual Curiosity: A visible track record of your craft via GitHub profile showcasing personal ML/AI projects, open-source contributions, research publications, hackathon participation or strong rankings in Kaggle competitions (especially in fraud or anomaly detection tracks).
PureSpectrum Perks:
PureSpectrum is continuously focused on our culture, which is rooted in innovation, connection, and providing a great experience at all business levels —what we like to call PSX. Our team enjoys a creative and collaborative environment with plenty of opportunities for fun, connection, and team celebrations.
- We foster a modern, collaborative and inclusive culture that values flexibility, creativity, and open communication.
- Our team enjoys a competitive compensation and benefits package, including comprehensive health insurance, Provident Fund (PF), and other perks that support overall well-being.
- We offer a robust leave policy covering casual, sick, and vacation leaves, along with special leaves for key life events.
- Regular team events, celebrations, and engagement activities strengthen our sense of community and belonging.
- At PureSpectrum, you’ll find a relaxed yet high-performing workplace where you can grow professionally, build meaningful connections, and truly be yourself.
We’re committed to supporting our team both personally and professionally—empowering every team member to thrive inside and outside of work.
Diversity & Inclusion
PureSpectrum is proud to be an equal opportunity employer. We welcome candidates from all backgrounds and do not discriminate based on race, colour, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other characteristic protected by law.
Skills Required
- Advanced degree in a quantitative STEM field or equivalent professional experience
- 5+ years of hands-on production-level experience in data science
- Deep knowledge of statistical modeling and anomaly detection fundamentals
- Production-level coding proficiency in Python and advanced SQL
- Expertise with ML libraries and cloud-based MLOps pipelines
- Proven track record in fraud detection or cybersecurity
- Excellent stakeholder-management skills
PureSpectrum Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PureSpectrum and has not been reviewed or approved by PureSpectrum.
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Healthcare Strength — Employer-paid PPO medical coverage, low copays, mental health access via health plans and EAP, and disability/life insurance indicate strong core health benefits. Wellness stipends and group fitness options reinforce a comprehensive health focus.
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Leave & Time Off Breadth — Unlimited PTO, unlimited sick days, paid holidays, bereavement leave, and paid volunteer time provide broad flexibility to step away from work as needed. Flexible/hybrid work options further support practical time-off usage.
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Parental & Family Support — Paid maternal and paternal leave, FMLA job-protected leave, Dependent Care FSA, and family-friendly company events reflect meaningful support for families. Childcare and dependent-care provisions help reduce family-related financial strain.
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The Company
What We Do
Built on the ethos of making researchers’ jobs easier, PureSpectrum offers a research marketplace with global supportOur customers are always at the forefront of our minds as we push the industry’s data quality standards forward. Proud to be awarded MR Supplier of the Year in 2021, PureSpectrum continues to provide industry-leading data quality. PureSpectrum developed PureScore™ which monitors survey takers' long-term behavior on our platform and blocks poor respondents from participating, ensuring high-quality data for our clients. PureSpectrum is a simple yet innovative research experience from project inception to final reporting. Our sample Marketplace Platform gives researchers the ability to quickly access the highest quality respondents. With PureSpectrum, you get the best of everything: agile research with high-quality data you can trust. On the PureSpectrum Marketplace, researchers are empowered to run projects at whatever cadence their research demands. Our users have the power to access one of the largest consumer datasets available and only pay for the research they need. In the few years since its inception, PureSpectrum has been named one of the Fastest Growing Companies in North America on Deloitte’s Fast 500 since 2020 and ranked for four years in a row on the GRIT Top 50 Most Innovative List and the Inc. 5000 lists.
Why Work With Us
PureSpectrum has created an environment where every employee feels seen, heard, and cared for. We encourage “candor with kindness” across all departments and empower our employees at every level with opportunities for professional growth.
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