• Design, develop, and deploy machine learning models, including LLMs, transformer-based models, and traditional ML approaches • Build and optimize NLP, recommendation systems, and predictive analytics solutions to address complex business problems • Develop and implement RAG (Retrieval-Augmented Generation), prompt engineering strategies, and emerging agentic AI workflows • Conduct rigorous model evaluation using appropriate statistical methods and performance metrics • Acquire, integrate, and preprocess structured and unstructured data from diverse sources (e.g., relational databases, NoSQL systems, logs, external datasets) • Perform feature engineering and data preparation to ensure high-quality inputs for ML models • Ensure data quality, validation, and governance compliance for AI/ML use cases • Design and maintain scalable data and ML pipelines to support model training, evaluation, deployment, and monitoring • Deploy models into production using cloud-native architectures and APIs • Implement model monitoring, drift detection, and retraining strategies to ensure sustained performance • Contribute to CI/CD pipelines and ML lifecycle automation • Contribute to system architecture decisions across data, ML, and cloud platforms • Provide technical leadership in selecting tools, frameworks, and design patterns for AI/ML solutions • Mentor junior team members and promote best practices in data science and ML engineering • Partner with stakeholders, product owners, and subject matter experts to translate business needs into AI/ML solutions • Communicate findings, insights, and recommendations clearly to both technical and non-technical audiences • Deliver solutions that drive measurable improvements in efficiency, quality, and business outcomes.

• Define and implement a multi-year enterprise data strategy aligned to business, clinical, and technology objectives. • Serve as the executive owner for data platforms, data governance, metadata strategy, and enterprise data quality. • Oversee modern, scalable data platform architecture (e.g., ingestion, transformation, consumption layers). • Modernize workloads using platforms such as Databricks and improve data orchestration, monitoring, observability, and automation. • Ensure standardized, business-ready “gold‑layer” datasets to support analytics and data science. • Consolidate enterprise reporting under a unified model with consistent definitions, governed metrics, and repeatable processes. • Partner with business leaders to deliver actionable analytics insights tied to operational, clinical, and financial KPIs. • Maximize performance, consistency, and usability of dashboards and analytical assets. • Establish and lead a data governance framework covering quality, lineage, security, and stewardship. • Ensure compliance with regulatory, privacy, and security standards, including evolving AI-related governance expectations. • Provide platforms, standards, and data quality foundations required for scalable, trustworthy machine‑learning and AI adoption. • Partner with Data Science leadership to ensure strong alignment on data needs and lifecycle processes. • Build and develop a high-performing team across data engineering, analytics, governance, and architecture. • Foster a culture of accountability, innovation, and continuous improvement. • Provide clear operating models for how data teams partner with technology and business units.

• Work with partner ML and Annotation engineers and TPMs to specify data and training requirements • Ensure that datasets are correctly curated, filtered, and processed to meet the rigorous standards of production-level machine learning • Act as a technical translator, turning high-level project goals into actionable data specifications for engineering and annotation teams • Maintain high standards for data integrity, ensuring that the media datasets used for training are representative and accurate

Role Description As a Data Scientist III at Indeed, you will leverage your expertise in data science, statistics, AI, and machine learning to take on complex product, marketing, and business challenges. You will design and implement analytical solutions that guide decisions, optimize product performance or marketing campaigns, and create measurable impact across the organization. - Oversee the design and execution of advanced analyses, experiments, and machine learning models to address complex questions. - Translate data into actionable insights to guide product, marketing, and business decisions. - Develop and maintain scalable, robust data pipelines and models for large-scale product data. - Collaborate with engineering and product teams to integrate data science solutions into product workflows. - Mentor and support other data scientists, promoting knowledge sharing and best practices. - Contribute to the development of AI agents and skills, methodologies, and processes that improve the efficiency and impact of the data science team. - Communicate findings clearly through presentations, visualizations, and documentation for diverse audiences. Qualifications - Requires a Bachelor’s degree in Computer Science, Mathematics, or Statistics, and a minimum of 8 years of related experience; or a Master’s degree with a minimum of 6 years of experience; or a PhD with 3 years experience. - Expertise in A/B testing and experimentation is required. - Solid foundation in data science methods and technologies. - Able to influence technical direction and contribute to long-term planning. - Able to work effectively with other teams and mentor colleagues. - Focused on delivering high-quality, impactful solutions that contribute to business goals. - Excellent written and verbal communication in English, effective with technical and business audiences. Salary Range Disclaimer The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job-related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets. - Tier 1 - United States of America: 150,000 - 224,000 USD per year - Tier 2 - United States of America: 166,000 - 250,000 USD per year - Tier 3 - United States of America: 182,000 - 274,000 USD per year - Tier 5 - United States of America: 207,000 - 311,000 USD per year EEO and Accommodations Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We’re proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit this link . If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. Inclusion & Belonging Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we’re committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. - We value diverse experiences, including those who have had prior contact with the criminal legal system. - We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. - Those with military experience are encouraged to apply. - Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. Reference ID 47084 The deadline to apply to this position is 6/12/2026. Job postings may be extended at the hiring team’s discretion based on applicant volume.