This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Aligning DSS study teams with program- and study-level strategies, the role supports governance of assigned programs and studies, both within and outside DSS.
Job listings
This role focuses on data collection to support the model training operations. You will find new audio data sources, build ingestion pipelines, and manage cloud infrastructure on GCP. Collaborate with scientists to enhance data quality and scale to power next-generation models and craft the AI Teamβs dataset roadmap to power Speechifyβs next-generation consumer and enterprise products.
As a Digital Analyst at Twin Health, you will analyze and interpret digital data to drive strategic decisions and enhance the digital experience for our customers. You will leverage various analytics tools, collaborate with cross-functional teams, and deliver actionable insights that shape our digital strategy. If you thrive in a fast-paced, dynamic environment and have a proven track record of turning data into actionable recommendations, we want to hear from you!
The Data Engineer will manage our Azure-based data warehouse, develop and maintain data pipelines, and implement a robust, scalable, and optimized end-state target data model. This role requires a strong foundation in data engineering principles and stakeholder collaboration to align technical solutions with business objectives.
Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety domain. Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates, owning end-to-end analytics workflow.
We are looking for a self-directed, analytical, and curious Senior Data Scientist with 5+ years of hands-on experience to join our team working on the core optimization and bidding logic of the Nexxen Demand-Side Platform (DSP). You will work on problems at the intersection of machine learning, large-scale data processing, and ad delivery performance. Your work will directly impact how we bid, win, and optimize impressions across real-time programmatic advertising exchanges.
As a Business Analyst, you will play a crucial role in delivering transformational data products to support product and pricing innovation. You will collaborate closely with the Product Owner and key stakeholders across the commercial business teams to identify requirements for enhancing, testing, and validating data products.
We are seeking an experienced Lead Engineer β Databases with deep expertise in Elasticsearch, Clickhouse, and other modern data systems. You will lead the design, development, and optimization of scalable, high-throughput database solutions that power key products and internal systems. This role emphasizes performance tuning, efficient data modeling, and the deployment of cloud-native database architectures that can handle both real-time and batch processing at scale.
Design, implement, and optimize data pipelines using DBT, Snowflake, and Python. You will own and manage cloud infrastructure components in AWS for scalable data workflows. Also, you'll collaborate across functions to ensure reliable and efficient deployment of ML models and data systems, and participate in architecture decisions and continuous improvement of our data stack.
As a Data Scientist at Pythian, leverage your expertise in data analysis, machine learning, and statistical modeling to deliver insights and build predictive models. Work on internal IP development and client projects, applying various techniques to solve complex business problems. Additionally, use and fine-tune pre-trained models, such as Large Language Models (LLMs), to accelerate development and enhance model performance.