As our Senior Data Engineer, you'll lead the creation and execution of our data models and strategies that feed our product. You'll work collaboratively with other members of the engineering team to design, develop, implement, and evolve our data pipeline and API strategies and approaches. You will own data sourcing pipelines, design and implement ETL solutions, and drive operational efficiency.
Drive causal inference capabilities across complex biological systems using multi-modal datasets. Design and build causal machine learning systems that enable a deeper understanding of biological mechanisms and accelerate scientific discovery. Bring expertise in probabilistic graphical models, large-scale graph algorithms, and deep learning techniques for causal discovery.
This role leads Hungryroot’s centralized data function, responsible for data engineering, data governance, and business intelligence infrastructure and owns the foundation that enables data-driven decision making across the organization, ensuring data integrity, accessibility, and security while building scalable platforms for analytics consumption. This position represents a critical component of our consolidated analytics strategy.
As a Data Engineer, you will own our Finance Data Warehouse and the tooling we use to get financial data from transactional systems into our finance automation stack, and ensure the results reach the hands of users, business applications, and other analytics tools. You will shape long-term projects aimed at marshaling data from across the organization, improving performance and utility, and ensuring data is represented in the clearest, most usable form possible.
The Senior Analytics Engineer at Jane Technologies designs, develops, and supports data pipelines and business intelligence applications. You will serve as the subject matter expert for business intelligence products and metrics for our entire data team and build data models in dbt and utilize that data to develop BI dashboards that drive data-driven business decisions.
We are seeking a highly analytical and results-driven team member to join our growing data science team in the financial services sector. You will play a key role in developing and implementing predictive machine learning /AI models, leading data-driven decision-making processes, and managing data science projects. This role requires a strong foundation in statistics, machine learning, and financial domain knowledge.
In this role, you will contribute to building the future of personalized apparel shopping by thoughtfully combining algorithms with product innovation. A key area of focus is the continued improvement of the quality of recommended assortments along various dimensions, including seasonality, diversity, and freshness. A secondary area is the ability to deliver high-quality recommendations in real time to engage and delight new clients and therefore expand our total addressable market.
You will architect and implement robust data pipelines and modern analytics platforms, working in close collaboration with cross-functional teams across the US and Brazil. You will be responsible for building scalable data solutions leveraging modern cloud-native tools. Fluent English communication is essential for engaging with our global stakeholders and ensuring alignment across distributed teams.
As a Senior Casual Inference Data Scientist you will lead data science initiatives that drive improvements in customer experience, operational efficiency and recovery. You will own the modeling cycle through scoping, development, deployment and after-sale, and monitoring, with a keen focus on business outcomes and stakeholder management.
Lynker Corporation is searching for a talented Data Analyst, with a knack for customer service, to support NOAAs, Southeast For-Hire Integrated Electronic Reporting (SEFHIER) program. The Data Analyst will provide professional and scientific services to provide analyses for fisheries management actions and design new approaches for data collection surveys.