Translate unstructured business problems into well-defined machine learning projects. Collaborate with a cross-functional team to identify and manage high leverage opportunities for modeling work. Design and implement highly generalizable models for predicting various outcomes. Take responsibility for modeling implementation in real world settings.

As a Data Onboarding Manager, you will own the end-to-end process of acquiring and automating district data within our system. This role requires strong project and client management skills, as you will be the primary point of contact for clients during the data onboarding process. This role also requires a deep understanding of data structure, technical expertise in SQL and Python, and the ability to develop plug-ins when needed.

The Snowflake Data Developer is responsible for designing, developing, and maintaining scalable data solutions within our cloud-based data warehouse, collaborating with business stakeholders, data analysts, and external vendors to analyze requirements and build efficient ETL/ELT pipelines that enable data ingestion, transformation, and integration.

As a Data Scientist II, you will extract and analyze data and contribute to business problem solutions using data science analysis, coding, technical tools, and automation techniques. You will work autonomously on tasks and components of projects and professionally mentor other teammates. You will also develop and apply statistical, logical, and/or machine-learning-based data science algorithms.

The Lead Bioinformatician participates in the development and validation of cutting-edge technologies for analysis of genetic data, designing and implementing algorithms of varying complexity. They provide technical leadership, develop models for data analysis, and produce high-quality documentation for various audiences.

The Senior Data Engineer will contribute to data analytics, data operations, and software product development. They will support existing data operations and contribute to the development of new products through data analysis and creation of APIs. The candidate will work with healthcare data formats such as CMS LDS files and X12/EDI claims processing.

The Data Consultant role, within the Professional Services department, is a consultant and analyst role responsible for making strategic data-related decisions by analyzing, manipulating, tracking, managing, and reporting data. This role will provide consultative guidance for data management, assess data quality, and collaborate with stakeholders to address data gaps.

Create and maintain ELT/ETL processes for existing and new systems. Collaborate with development and business teams to understand requirements and define source system data flows. Develop and maintain ETL/ETL specifications for data integration development. Define and deliver consistent data modeling and data architecture standards, methodologies, guidelines and techniques. Document, implement and maintain the data pipeline architecture and related business processes.

Build and maintain a scalable data platform that supports multiple business functions, including engineering, legal, sales, marketing, and governance. This platform enables real-time and batch data processing, ensuring high data quality and compliance with privacy regulations.

The Solutions Engineer works closely with customers to ensure they get the most value from the entire Allium platform. This role is technical, customer-facing, and involves designing custom solutions to meet specific blockchain data needs. Responsibilities include engaging with customers, designing tailored data analytics solutions, and offering technical support.