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Drives AI adoption across global TechOps processes by building AI fluency, delivering scalable no-code/low-code agentic solutions, and embedding AI-enabled workflows to boost productivity.
Senior Data Scientist leading ML model development and deployment in a distributed data system to maximize weapon system operational effectiveness for Boeing Defense, Space & Security.
Data Scientist II applying machine learning and statistical analysis to large datasets within Amazon's Brazil Payments/Credit business, designing and deploying scalable predictive models and GenAI solutions in production.
Leads a predictive research team of data scientists and biostatisticians, applying advanced machine learning and biostatistics to model biological, clinical, and industrial data for pet nutrition R&D.
Data Scientist building real-time, low-latency AI tools using LLMs and NLP to assist call center agents across voice and messaging channels.
The Data Scientist validates complex financial, risk, and AI models to ensure they meet quality, performance, and governance standards. The role involves using programming languages like Python, SQL, and R to analyze data and advise stakeholders on model robustness and responsible AI use.
Designs and implements fraud-detection models using SQL, Python, and R to analyze banking transaction data and recommend actions that reduce financial losses.
The Staff Data Scientist will lead the development of next-generation AI systems and autonomous agents to improve Walmart's global operations. The role involves architecting end-to-end ML pipelines, mentoring senior talent, and deploying production-grade AI solutions using technologies like PyTorch, LangChain, and cloud-based ML platforms.
This is a one-year part-time internship for university students to support the Institutional division by managing databases, analyzing business requirements, and creating reports. The role involves collaborating with various stakeholders to optimize processes and ensure data quality using tools like Excel and SAP.
The Senior Data Scientist will lead analytical initiatives and develop AI-enabled solutions to support process development and digital transformation at Amgen. The role involves partnering with cross-functional teams to build data products, dashboards, and models using Python, R, and SQL.
The Data Scientist supports Empower's Responsible AI program by embedding with AI teams to ensure GenAI and ML applications are safe, transparent, and measurable. The role involves developing evaluation frameworks, conducting model risk assessments, and prototyping new Responsible AI techniques.
The Senior Director of Data Science Product Management leads a team of product managers to deliver data science products by translating customer needs into technical requirements. The role involves managing product portfolios, prioritizing development, and collaborating with data scientists and engineers in a healthcare environment.
The Data Scientist will design and implement predictive models and algorithms to drive business outcomes and optimize client opportunities. The role involves analyzing large datasets using tools like Python, R, and SQL to provide actionable insights for internal stakeholders and clients.
The Data Scientist Data Product Owner oversees data science initiatives and cross-functional teams to deliver actionable insights and scalable data products. The role involves managing data roadmaps, defining technical requirements, and performing advanced analytics to support business objectives.
8-month Data Scientist Intern in RBC's Group Risk Management developing and tuning AML/ATF transaction monitoring solutions using machine learning, network analysis, and Python/SQL on large datasets.
Build and scale analytical data products for investment teams at iA Global Asset Management, working end-to-end from data ingestion through visualization using Python, dbt, GCP/BigQuery, Power BI, and Streamlit.
The Lead Data Scientist will develop and implement advanced analytics, machine learning, and optimization models to improve supply chain and plant operations. This role involves partnering with business leaders to drive strategic decisions, mentoring team members, and leveraging tools like Python, SQL, and cloud-based AI platforms.
Part-time Data Science internship at Ecolab's Institutional Division in Santiago for final-year students, focusing on data collection, database management, reporting, and supporting accreditation processes using Excel and SAP.
Leads data science team to develop advanced analytics for clinical trial feasibility, protocol optimization, and enrollment forecasting in healthcare. Focuses on predictive modeling, stakeholder collaboration, and improving decision-making across clinical development lifecycle.
Leads strategic data science and AI consulting for TransUnion’s financial services solutions, designing advanced analytics platforms, driving revenue growth, and ensuring operational excellence in a hybrid role.
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