Seeking a skilled lead Data Ops Engineer with expertise in Data Ops or Data Engineering, SQL, system automation, and Python to join our team. Responsibilities include designing the proper data architecture, implementing automation, and be the mentor and leader for the Data & Analytics team. Enjoy remote work with the option to engage at our Deerfield office. This role offers career growth and leadership opportunities.
Be a Geospatial Data Scientist with expertise in machine and deep learning for geospatial applications and snow remote sensing as part of the growing Earth Intelligence team. The work involves building applied scientific tools for a number of federal agencies, covering the full project lifecycle. The incumbent will work on multiple projects across federal contracts with agencies including: NASA, NOAA, USGS, and the USACE.
As a Data Scientist, you will blend analytics, data mining, machine learning, and software engineering to build solutions that will result in massive improvements to the way the company does business. You will be responsible for developing and improving key decision systems and predictive models to drive maximum business impact and develop a profound understanding of customers, business processes, products, and financials by studying the data.
Drive personalization, recommendation, and product marketplace improvement efforts. Should think like a Grailed user as well as a business owner, understanding how data impacts a fashion-forward user experience. This key role will operate at the intersection of Data, Product, Engineering, and Marketing, working cross functionally to develop compelling data products.
The ideal candidate will have some research experience with either an advanced degree or work experience outside a pure academic context, working with cross-functional teams to define business problems, determine data and methods, build/execute analyses, and present results to stakeholders. Responsibilities include balancing business goals with statistical, technical, and data constraints, and integrating AI into your work.
Manage and enhance the company's data warehouse, ensuring alignment with best practices and internal standards. Translate business requirements into efficient, reliable datasets within the Data Lake and oversee data layer management in Snowflake. Design and implement data models, views, and aggregates using dbt.
As a Staff Data Model Engineer, you will work with a fast-moving, ambitious team, building our data-centric, AI-driven Contract Lifecycle Management software solutions. You will collaborate with product domain experts, application software engineers, and Cloud Ops engineers, to architect, build, maintain and optimize data models, databases, and data centric services.
We're seeking a Bioinformatician with experience in training and applying deep learning models, especially in genomics, transcriptomics, spatial transcriptomics, and related fields. As a member of the Large Quantitative Model (LQM) team, you'll develop new computational tools to reshape drug discovery.
You will engage with stakeholders to translate business problems into technical solutions, design and test personalization solutions, create forecasting models using time series and machine learning, and solve complex optimization problems. You will stay updated on the latest research in personalization techniques and work closely with product managers, MLOps engineers, and software developers to deploy end-to-end solutions.
As a Staff Data Engineer, you will be the most senior individual contributor as well thought leader working mostly independently on a RWE team. You will play a critical role as a technical expert working as an IC, shaping the technical strategy and architecture of our internal Real World Evidence product. This position requires a high degree of independence and the ability to navigate and resolve complex technical challenges with minimal oversight.