Data governance: Defining governance policies and procedures to ensure data quality, security, and compliance throughout the organization, including metadata management, data privacy, and regulatory compliance.

Collaborate closely with the ads business, engineering, and data teams to deploy data-driven solutions using cloud-based technologies such as Snowflake, Databricks, and Azure. As a Senior Data Scientist specializing in Product and Display Ads at Gopuff, you will be entrusted with driving the development of advanced algorithms and models for relevant ad recommendations to ensure good consumer experience and setting smart bidding and budget for advertisers to maximize return on advertiser spend and marketplace efficiency.

The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.

Experience evaluating data quality and maintaining consistently high data standards across new feature releases (e.g., consistency, accuracy, validity, completeness) At People Data Labs, we’re committed to democratizing access to high-quality B2B data and leading the emerging DaaS economy.

We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.

Conduct data quality and gap analysis, develop a maturity plan and collaborate with data source owners on data sets Responsible for delivering Apptio system integration, enhancements, and optimization capabilities for dashboard reporting.

Proactively seek input from team members across different disciplines to enhance the quality and effectiveness of data solutions, recognizing that diverse perspectives lead to better outcomes.

Proactively identify opportunities for process improvement and optimization to enhance data reliability, quality, and accessibility. Azure Integration: Work with Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database for data integration, processing, and storage.

Implement and deliver high quality DevOps solutions for our new state of the art AI model deployment and execution platform using technologies like Gitlab, ADO, Terraform to deliver services such as Databricks, Kubernetes, Postgres, Azure Data Factory, Azure Cognitive Search.

Manage Duke internal and multi-site databases, including data cleaning, transformation, importing, and restructuring to uphold data accuracy, integrity, and compliance with institutional policies, with support from the technical team lead and the Program Manager: 15% Training and Documentation (30.

Use your data and analytics experience to ‘see what’s missing,’ identifying and addressing data gaps, build monitors to detect data quality issues and partner to establish a self-serve environment.

As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.

Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.

Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.

Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. The AI COE is seeking a Senior Data Scientist with experience in Conversational AI, Generative Large Language Models, Natural Language Processing, Machine learning, various deep learning related technologies, predictive and prescriptive analytics.