Senior Data Scientist

Jobtailor; Wilmington (DE); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor is seeking a data engineering professional to develop advanced analytics and ML models, optimize data pipelines, and deliver scalable BI solutions.

You will collaborate with analysts and stakeholders, implement data integration, and ensure data quality and automation across enterprise BI platforms.

Qualifications

• Bachelor's degree or higher.
• 5+ years in data engineering, BI development, or analytics engineering.
• Experience supporting enterprise BI platforms and predictive analytics.
• Experience with Oracle and Microsoft SQL database technologies.
• Extensive experience with R and Python and data modeling concepts.
• Understanding of data pipeline and ETL/ELT technologies.
• Familiarity with Databricks, Snowflake, and Microsoft Fabric.
• SQL performance tuning and automation improvements.
• Strong data visualization knowledge for dashboards/reports.

Responsibilities

• Develop advanced analytics and machine learning models.
• Maintain data pipelines, reporting systems, and DataOps for CI/CD of pipelines and BI infrastructure.
• Collaborate with analysts, business partners, and stakeholders to deliver scalable analytics and data-driven solutions.
• Implement data integration solutions from various data sources.
• Develop data quality, reconciliation, and error-handling frameworks.
• Optimize SQL and data transformation logic for performance and scalability.
• Document data flows, transformations, and dependencies.
• Drive coding and testing best practices and improve reliability.
• Deliver clean, structured datasets for visualization.
• Build predictive and statistical models for forecasting, segmentation, and optimization.
• Implement machine learning and AI into BI processes.
• Validate, test, refine models for accuracy and business relevance.
• Analyze large datasets to identify trends and opportunities.
• Support deployment of analytics outputs into BI solutions.
• Apply metadata management and data logs knowledge.

Skills

Machine Learning Model Development

Data Pipeline Optimization

SQL Performance Tuning

Data Visualization Concepts

R

Python

Data Modeling

ETL/ELT Technologies

Data Quality Frameworks

Metadata Management

Education

Bachelor's degree

Tools

Oracle

Microsoft SQL

Databricks

Snowflake

Microsoft Fabric

Azure

AWS

Alteryx

Job description

• Develop advanced analytics and machine learning models
• Maintain efficient data pipelines, reporting systems, and DataOps practices for CI/CD of pipelines and BI infrastructure
• Collaborate with analysts, business partners, and stakeholders to deliver scalable analytics, reporting, and data-driven decision-making solutions
• Implement data integration solutions for various data sources
• Develop data quality, reconciliation, and error-handling frameworks
• Optimize SQL and data transformation logic for performance and scalability
• Document data flows, transformations, and dependencies
• Drive coding and testing best practices and improve processes and system reliability
• Deliver clean, structured datasets for visualization
• Build predictive and statistical models for forecasting, segmentation, and optimization
• Implement machine learning and AI into Business Intelligence processes
• Validate, test, and refine models for accuracy and business relevance
• Analyze large, complex datasets to identify trends, patterns, and business opportunities
• Support deployment and operationalization of analytics and data science outputs into Business Intelligence solutions
• Apply metadata management and data logs knowledge

Requirements

• Bachelor's degree
• 5+ years of work experience in data engineering, BI development, or analytics engineering
• Experience supporting enterprise BI platforms and predictive analytics
• Experience with Oracle and Microsoft SQL database technologies
• Extensive experience with R, Python, and data modeling concepts
• Understanding of data pipeline and ETL/ELT technologies
• Understanding of Databricks, Snowflake, and Microsoft Fabric
• Proven experience in SQL performance tuning and recommending improvements for automation and maintainability
• Excellent understanding of data visualization concepts for dashboards and reports
• Experience working in Agile/Scrum environments, including sprint planning, standups, reviews, and retrospectives
• Ability to work independently and collaboratively
• Strong problem-solving and analytical thinking skills
• Ability to learn new technologies and prioritize tasks in a high-pressure environment
• Excellent communication and interpersonal skills
• Detail-oriented focus on quality and accuracy
• Preferred: experience with Azure or AWS cloud platforms
• Preferred: experience with Alteryx

Core Competencies

Demonstrates expertise in developing advanced analytics and machine learning models, optimizing data pipelines, and implementing data integration solutions. Proficient in SQL performance tuning and data visualization, with a strong focus on delivering scalable analytics and data-driven decision-making solutions.

Highest-signal resume keywords

• Machine Learning Model Development
• SQL Performance Tuning
• Data Pipeline Optimization
• Data Visualization Concepts
• Experience with R and Python

Hard Skills

• Data Engineering
• Business Intelligence Development
• Predictive Analytics
• Data Modeling
• ETL/ELT Technologies
• Data Quality Frameworks
• Statistical Modeling
• Data Transformation Logic
• Metadata Management
• Data Analysis

Soft Skills

• Problem-Solving
• Analytical Thinking
• Communication
• Interpersonal Skills
• Detail-Oriented

Industry Keywords

• DataOps
• Agile
• Scrum
• Business Intelligence
• Data-Driven Decision-Making

Tools & Technologies

• Oracle
• Microsoft SQL
• Databricks
• Snowflake
• Microsoft Fabric
• Azure
• AWS
• Alteryx