Top Data & Analytics Jobs
The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.
The Data Engineer will design and implement data pipelines and analytics infrastructure, develop Python and SQL components, maintain cloud infrastructure, and create data models. They will collaborate with customers to enhance data exploration and improve technical practices while coordinating project objectives.
As a Data Scientist at LeaseLock, you'll develop machine learning models to predict property risk, deliver data-driven strategies, and ensure data consistency for enhanced analytics. You will work independently on impactful projects that align with business needs.
Featured Jobs
As a Data Engineer at Prophecy, you will develop data engineering workflows using Apache Spark and Apache Airflow. You will be responsible for solving complex customer problems, educating users on best practices, and building reusable Spark packages to enhance data transformation processes.
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As a Senior Data Engineer at CrowdStreet, you will build and influence the architecture of a new data platform, handle the full lifecycle of software development, and work with various teams to translate data needs into actionable initiatives. Responsibilities include optimizing data ingestion and modeling, maintaining data pipelines, and collaborating to enhance data operations.
As a Data Engineering Consultant at CompassX, you will solve complex data challenges for clients using modern tools. Your role involves designing and implementing data solutions including ETL and reporting while leveraging your experience in data warehousing. You will consult with clients to understand their business needs and collaborate closely with the leadership team.
As Head of Data Feeds, you will lead the Product Management team, prioritize customer needs for alternative data feeds, and oversee product development and delivery. Collaborate with stakeholders across multiple departments to enhance investment processes and ensure team operations align with strategic goals.
As a Senior Data Scientist, you will analyze complex datasets to optimize product performance, create data visualizations, collaborate with product teams, and communicate insights for strategic decision-making. Your role includes working closely with engineering to ensure data integrity and analyzing customer behavior to drive product improvements.
The Data Scientist will design and deliver Customer Experience solutions by utilizing machine learning techniques and data analysis to solve business problems and automate processes. Responsibilities include extracting insights from customer data, implementing ML algorithms, and conducting data analysis.
The Information Architect at MathWorks will lead data architecture practices, focusing on developing data solutions that align with business strategy. The role involves managing risks, ensuring data governance, designing solution architectures, and collaborating across teams to implement effective data strategies and technology solutions.
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