Top Remote Data & Analytics Jobs in Pittsburgh, PA
The Data Engineer will design, develop, and maintain ETL pipelines, ensure data quality, collaborate with various teams to support Machine Learning and Analytics, and engage with customers to understand data needs. The role requires proficiency in data engineering and coding, particularly with Python and Typescript, along with hands-on experience with SQL.
The Insight Analyst will analyze subscription data to provide actionable insights, create visualizations and dashboards, and collaborate with Customer Success, Sales, and Marketing teams. The role requires expertise in data analysis and clear communication of findings to clients and stakeholders.
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The Data Analyst will support Axios Intelligence by providing audience and advertising insights through data analysis and visualization. Responsibilities include pulling reports, creating presentations, and collaborating with internal teams to develop insights for client strategies. The role requires strong analytical and communication skills, along with proficiency in data visualization tools.
As a Fraud Analyst, you will develop policies and processes to mitigate fraud losses for Mudflap’s products. Responsibilities include enhancing fraud strategies, developing detection models, evaluating tools, assessing KPIs, and maintaining performance reports.
The Senior Data Reporting and Development Consultant will implement data solutions for clients, focusing on business reporting needs using Power BI and SSRS. This role requires scoping, designing, and delivering reports while interacting with C Suite clients and using various cloud and on-prem solutions.
Seeking a Head of Data Science at Competera to lead the ML strategy, collaborate with stakeholders, mentor DS/ML teams, and drive innovation. Must have experience in a scale-up company, retail industry, and Python stack for ML. Desired skills include experience in Causal Inference, Probabilistic Programming, XAI development, and cloud architecture.
Lead a team of data engineers to develop and implement high-quality data solutions and architectures, while driving a data-driven culture within the organization. Collaborate with cross-functional stakeholders, build data pipelines and products, and manage the development of a world-class data lake, ensuring compliance with healthcare industry standards.
Seeking a Senior Provisioner with 3-5 years of telecom experience to manage telecom orders, coordinate service installations, and communicate with clients and vendors for timely and accurate service delivery of Voice and Data telecom services.
The Sr. Data Scientist will manage projects involving clinical data analysis, develop algorithms for real-world data insights, and collaborate with various teams to drive advancements in cancer care. Responsibilities include data wrangling, pipeline engineering, and supporting product development.
As a Machine Learning Engineer, you will design and develop AI and machine learning applications for clients, conducting experiments and collaborating with engineers to create scalable solutions while engaging in client-facing activities and staying updated on machine learning advancements.
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