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.
As the Senior Data Engineer on our team, you will take ownership of designing and scaling the systems and pipelines that power H1’s data platform. This role involves working cross-functionally with engineers, product managers, and stakeholders to deliver high-performance, reliable, and maintainable data solutions. Play a key role in shaping the future of our data infrastructure while mentoring others and driving best practices.
As the Principal Data Scientist, you’ll spearhead our data science initiatives—designing and deploying advanced machine-learning and statistical solutions. You’ll mentor a growing team of data scientists, set the strategic vision for modeling efforts, and ensure our algorithms deliver real business value for Spring & Bond and our clients.
Transforming data into actionable insights that support strategic decisions and operational improvements. Responsible for building reports, automating workflows, and uncovering trends that drive growth and enhance the customer experience. Requires strong analytical skills, proficiency with tools like Google Sheets and SQL, and the ability to communicate data clearly to both technical and non-technical stakeholders.
The Data Strategist helps organizations leverage their data capabilities effectively to drive business value and achieve strategic objectives. This role requires technical expertise, strategic thinking, problem-solving, adaptability and influence skills to drive organizational change and unlock the full potential of data to drive business success.
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.
Oversees and strategizes the data analytics needs of the organization, including analysis of population health metrics, network clinical, financial, utilization, and patient satisfaction in support of the optimization of Dignity Health MSO's performance relative to value-based contracts. Leads a team to provide and strategize results for hands on data science and analytics functions for Dignity Health MSO leadership. Collaborates with Dignity Health MSO leadership and provider network to achieve organizational goals.
In this role, you will be responsible for designing, developing, and maintaining scalable data pipelines and systems to support a wide range of analytics and business intelligence solutions. You will work closely with cross-functional teams including data scientists, analysts, and engineers to provide data solutions that drive key business decisions.
Provide oversight development of datasets ,Generate and/or review of SDTM mapping specifications, annotated CRFs, ADaM specifications, define.XML documents and reviewers’ guides per CDISC and FDA specifications and guidelines. Accountable for oversight of statistical programming deliverables for inhouse and outsourced projects.
Join our platform engineering team as a Data Engineer, where you will design, build, and maintain data pipelines and infrastructure that power our analytics and product features. This role requires a blend of strategic vision and hands-on technical skills. You will play a key role in shaping the foundation of Prepared’s engineering culture.