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Senior Data Scientist Jobs in Delaware (NOW HIRING)

Iff

AI & Data Scientist

Wilmington, DE · On-site

Job Summary Are you passionate about using AI, data science and digital innovation to transform quality operations and accelerate scientific decision-making? IFF is a global leader in flavors ...

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All JobsData Scientist JobsSenior Data Scientist JobsSenior Data Scientist Jobs in Delaware

Senior Data Scientist information

See Delaware salary details

$41.5K

$142.6K

$201.2K

How much do senior data scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for senior data scientist in Delaware is $142,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,600.00 and $166,600.00 per year, depending on experience, location, and employer.

What is a senior data scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

What does a senior data scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What are the key skills and qualifications needed to thrive as a senior data scientist, and why are they important?

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What are some of the main challenges senior data scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What is a senior data scientist's salary?

A senior data scientist's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, statistical analysis, and proficiency with tools like Python or R can influence compensation levels.
More about Senior Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Delaware?

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For Senior Data Scientist jobs in Delaware, the most frequently searched job titles are:

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Senior Data Scientist jobs near you
Infographic showing various Senior Data Scientist job openings in Delaware as of August 2026, with employment types broken down into 85% Full Time, 6% Part Time, and 9% Contract. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $142,583 per year, or $68.5 per hour.

Senior Data Scientist

Corporation Service Company

Wilmington, DE • On-site

$110 - $150/hr

Other

Posted 4 days ago

Corporation Service Company rating

8.3

Company rating: 8.3 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

79th of 492 rated business services

Job description

Business Intelligence Senior Data Scientist

Wilmington - HQ, USA

Monday-Friday 8:00 am to 5:00 pm

Hybrid

A Business Intelligence Senior Data Scientist develops advanced analytics and machine learning models, and maintains efficient data pipelines, reporting systems, DataOps practices for CI/CD of pipelines and BI infrastructure. Collaborate with analysts and business partners to deliver scalable solutions that support analytics, reporting, and data-driven decision making. 5+ years of experience in data engineering, BI development, or analytics engineering.

Some of the things you will be doing:
  • Implement data integration solutions for various data sources, ensuring data accuracy, consistency and completeness
  • Develop data quality, reconciliation and error handling frameworks to ensure data integrity
  • Optimize SQL and data transformation logic for performance and scalability
  • Document data flows, transformations and dependencies
  • Drive best practices in coding, testing and identify opportunities to improve processes and system reliability
  • Collaborate with business stakeholders to understand data requirements and translate them to scalable solutions.
  • Support analysts and business teams by delivering clean, structured datasets ready for visualization
  • Build predictive and statistical models to support forecasting, segmentation, and optimization
  • Implement Machine Learning and AI into Business Intelligence processes
  • Validate, test, and refine models to ensure 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
  • Understanding and knowledge of metadata management and data logs
What technical skills, experience and qualifications do you need?
  • Bachelor's degree
  • 5+ years of work experience
  • Experience supporting enterprise BI Platform & Predictive analytics
  • Experience in database technologies Oracle and Microsoft SQL
  • Extensive experience with R & Python and data modeling concepts
  • Understanding of data pipeline and ETL/ELT technologies
  • Understanding of next-gen technologies (Databricks, Snowflake, Microsoft fabric).
  • Proven experience in SQL performance tuning and recommend improvements for automation and maintainability.
  • Excellent understanding of data visualization concepts to support dashboards and reports
  • Ability to work both independently and in a team-oriented, collaborative environment
  • Strong problem solving and analytical thinking skills
  • Flexible and adaptable with respect to learning and understanding new technologies
  • Ability to effectively prioritize and execute tasks in a high-pressure environment
  • Excellent communication and interpersonal skills
  • Detail-oriented with a focus on quality and accuracy
  • Experience working in Agile/Scrum environments, participating in sprint planning, standups, reviews and retrospectives
  • Preferred - Experience working with cloud platforms such as Azure or AWS
  • Preferred - Experience in Alteryx is an added advantage

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