Top Remote Data & Analytics Jobs in Pittsburgh, PA
As a Senior Data Engineer, you will design and optimize data infrastructure, collaborate with teams to ensure data flow across marketing technology platforms, and influence strategy and technical roadmaps. You will work on innovative projects using cutting-edge technologies.
The Senior Data Quality Analyst will enhance data quality through automation and collaboration with data operations and reporting teams, applying statistical methods and tools to ensure accuracy, completeness, and reliability of data for government health programs, particularly for CMS. Responsibilities include analyzing data, developing quality policies, and presenting findings to stakeholders.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
The Epic Analyst role involves creating architectural diagrams to illustrate interactions between Epic systems using FHIR and HL7 standards, focusing on EMR records related to appointments, scheduling, orders, and incident management.
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.
As a Lead Compliance Analyst, you will conduct branch office inspections using risk-based testing methodologies to ensure compliance with FINRA and state insurance laws. Responsibilities include developing inspection plans, analyzing data, and delivering results to partners, while maintaining compliance and identifying risk exposures.
The Data Scientist will develop the data analytic and research functions, build data operations systems, maintain ETL processes, and collaborate with technology and product teams to support organizational priorities. This role focuses on enhancing college admissions access and equity through data-driven insights and products.
As a Data Engineer at Nascent, you will manage the entire data pipeline that supports trading models, ensuring data cleanliness and access for researchers. You'll automate data collection, build and maintain APIs, and develop tools for efficient data querying in a high-stakes environment, while collaborating closely with Portfolio Managers.
The Senior Data Scientist will architect, design, and implement generative AI models for ASR and TTS applications, leveraging LLMs. Responsibilities include training and optimizing models, collaborating with cross-functional teams, and innovating existing models while staying updated on the latest advancements in generative AI.
Top remote Companies in Pittsburgh, PA Hiring Data + Analytics Roles
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