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Business Science Jobs in Delaware (NOW HIRING)

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Present findings through clear reports, visualizations, or dashboards that inform business ...

Manager, Data Science

Wilmington, DE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A successful candidate will expand competencies and grow business and industry acumen, as well as ... Science) * 4+ years of model development experience in a large institution preferred; PHD degrees ...

Manager, Data Science

Wilmington, DE · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A successful candidate will expand competencies and grow business and industry acumen, as well as ... Science) * 4+ years of model development experience in a large institution preferred; PHD degrees ...

Showing results 41-60

Business Science information

See Delaware salary details

$28K

$85.3K

$179.2K

How much do business science jobs pay per year?

As of Aug 14, 2026, the average yearly pay for business science in Delaware is $85,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $111,600.00 per year, depending on experience, location, and employer.

What are the typical projects or responsibilities for a business science professional?

A Business Science professional typically works on projects involving business process optimization, forecasting, market analysis, and identifying data-driven strategies to improve company performance. Responsibilities often include gathering and analyzing large datasets, developing predictive models, and collaborating closely with cross-functional teams such as marketing, finance, and operations. You may also be tasked with presenting actionable insights to stakeholders and contributing to strategic business initiatives. The role provides a dynamic environment that blends technical analysis with real-world business impact, making every day both challenging and rewarding.

What is a business science?

A Business Science job involves using data science, analytics, and business strategy to drive decision-making and improve business performance. Professionals in this field analyze large datasets, develop predictive models, and use statistical methods to provide insights that support organizational goals. They often work in roles such as business analysts, data scientists, or strategy consultants, applying analytical techniques to solve real-world business challenges. The role requires a mix of technical skills, such as programming and machine learning, along with business acumen and problem-solving abilities.

What are the key skills and qualifications needed to thrive in the business science position, and why are they important?

To thrive in a Business Science role, you need strong analytical, data management, and problem-solving skills, often supported by a degree in business analytics, data science, or a related field. Familiarity with analytical tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI, along with relevant certifications, is highly beneficial. Excellent communication, teamwork, and the ability to translate complex data into actionable business strategies are key soft skills. These abilities enable professionals to effectively leverage data insights to drive decision-making and deliver measurable business value.

What can you do with a business science degree?

A business science degree prepares individuals for roles in data analysis, business consulting, financial analysis, marketing, and management. Graduates often work with tools like Excel, SQL, and data visualization software, and may pursue certifications such as CFA or PMP to enhance their career prospects.

What are popular job titles related to Business Science jobs in Delaware?

For Business Science jobs in Delaware, the most frequently searched job titles are:

Infographic showing various Business Science job openings in Delaware as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $85,252 per year, or $41 per hour.

Data Science Intern

Athenago

Wilmington, DE

Part-time

Re-posted 6 days ago


Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.

We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.

Role Overview

The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.

Responsibilities
  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.

  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.

  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.

  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.

  • Support continuous model optimization and validation efforts.

Qualifications
  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.

  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.

  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.

  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.

  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications
  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.

  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.

  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).

  • Previous internship or project experience demonstrating practical data science applications.

  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits
  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.

  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.

  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.

  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.