Job type
Temporary
Location
United States - Dover DE
Experience
Mid
Category
Data Science
Posted
Today
Apply by
No deadline
We are looking for a Data Scientist to support advanced data initiatives in Dover, Delaware. This Long-term Contract position focuses on building scalable data solutions, uncovering actionable insights, and helping stakeholders make informed decisions through reliable analysis. The ideal candidate brings strong technical depth across modern data platforms and is comfortable working with large, complex datasets in a collaborative environment.
Responsibilities:
• Design and maintain data pipelines that collect, transform, and prepare large datasets for analytical and operational use.
• Develop statistical models and data-driven solutions that help identify trends, improve forecasting, and support business strategy.
• Use Python and distributed processing tools to analyze high-volume data efficiently and produce meaningful recommendations.
• Work with Spark and Hadoop-based environments to manage large-scale data processing and support advanced analytics workloads.
• Integrate streaming and batch data from multiple sources, including Kafka, to ensure timely and accurate data availability.
• Partner with cross-functional teams to translate business questions into analytical approaches, technical requirements, and measurable outcomes.
• Build ETL workflows that improve data quality, consistency, and accessibility across reporting and analytical platforms.
• Document methodologies, assumptions, and results clearly so that technical and non-technical stakeholders can understand key findings.
• Strong working knowledge of Apache Spark for distributed data processing and large-scale analytics.
• Experience using Apache Hadoop technologies in data-intensive environments.
• Familiarity with Apache Kafka for ingesting and processing streaming data.
• Proven ability to build and support ETL processes for structured and unstructured data sources.
• Background in data science, analytics, or a related technical discipline with the ability to solve complex data problems.
• Ability to communicate technical concepts and analytical insights effectively to diverse stakeholders.
Responsibilities:
• Design and maintain data pipelines that collect, transform, and prepare large datasets for analytical and operational use.
• Develop statistical models and data-driven solutions that help identify trends, improve forecasting, and support business strategy.
• Use Python and distributed processing tools to analyze high-volume data efficiently and produce meaningful recommendations.
• Work with Spark and Hadoop-based environments to manage large-scale data processing and support advanced analytics workloads.
• Integrate streaming and batch data from multiple sources, including Kafka, to ensure timely and accurate data availability.
• Partner with cross-functional teams to translate business questions into analytical approaches, technical requirements, and measurable outcomes.
• Build ETL workflows that improve data quality, consistency, and accessibility across reporting and analytical platforms.
• Document methodologies, assumptions, and results clearly so that technical and non-technical stakeholders can understand key findings.
Requirements
• Hands-on experience with Python for data analysis, modeling, and data engineering tasks.• Strong working knowledge of Apache Spark for distributed data processing and large-scale analytics.
• Experience using Apache Hadoop technologies in data-intensive environments.
• Familiarity with Apache Kafka for ingesting and processing streaming data.
• Proven ability to build and support ETL processes for structured and unstructured data sources.
• Background in data science, analytics, or a related technical discipline with the ability to solve complex data problems.
• Ability to communicate technical concepts and analytical insights effectively to diverse stakeholders.
Requirements
PythonApache SparkApache HadoopApache KafkaETLData AnalysisData ModelingData EngineeringData Pipelinesstatistical models
Market rate — Data Science, United States · based on 27 similar listings, last 90 days
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