1

Associate Data Scientist Jobs in Delaware (NOW HIRING)

Showing results 21-40

Associate Data Scientist information

See Delaware salary details

$57.5K

$68.1K

$129.1K

How much do associate data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for associate data scientist in Delaware is $68,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,600.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

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

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

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

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

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

The most popular types of Data Scientist jobs in Delaware are:

What are popular job titles related to Associate Data Scientist jobs in Delaware?

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

What cities in Delaware are hiring for Associate Data Scientist jobs?

Cities in Delaware with the most Associate Data Scientist job openings:

What are popular job titles related to Associate Data Scientist jobs in DE?

For Associate Data Scientist jobs in DE, the most frequently searched job titles are:

Infographic showing various Associate Data Scientist job openings in Delaware as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $68,097 per year, or $32.7 per hour.

Data Visualization Senior Associate

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks


Job description

As a Data Visualization Senior Associate on the CCB Finance Data & Insights Auto Team, you will be part of an agile product team focused on developing, producing, and transforming financial data and reporting for the Auto product. Leveraging your analytical skills and passion for turning raw data into actionable insights, you will create impactful data visualizations and intelligence solutions that support key strategic initiatives across the organization.

You will assist in identifying and evaluating opportunities to streamline manual processes and implement automation tools such as Alteryx, Tableau, and/or ThoughtSpot to deliver efficient, automated solutions. Your responsibilities will include extracting, analyzing, and summarizing data for ad hoc stakeholder requests, as well as contributing to the ongoing modernization of our data environment, including migration to cloud platforms.

Job Responsibilities

  • Responsible for end-to-end preparation of intelligent solutions by development of dashboards using Tableau, Alteryx, ThoughtSpot and SQL. Your work will support analysis delivered to senior management and various stakeholders for the LOB.

  • Develop and enhance Alteryx workflows, collecting data from disparate data sources and summarizing the data as defined in requirements gathering with the stakeholders. Follow best practices to ensure that data is sourced from authoritative data sources.

  • Develop and enhance data visualizations utilizing Tableau/Thoughtspot to provide intuitive insights and help with decision support to our key stakeholders.

  • Conduct thorough validation of each component of the intelligence solution providing evidence that all data and visualizations are reporting accurate insights and evidence in the control process

  • Engage in testing and meetings for related server upgrades, data source changes, and other technology components that we source data from.

  • Leverage firm-supported AI and GenAI tools such as Copilot, LLM Suite, and other approved AI platforms to enhance productivity, accelerate analytics development, improve documentation quality, automate repetitive tasks, and support data-driven decision making.
  • Become a subject matter expert in these responsibilities and mentor team members in becoming more proficient themselves

Required qualifications, capabilities, and skills 

  • Bachelor's degree in MIS or Computer Science, Mathematics, Engineering, Statistics or other quantitative subjects, or Financial subjects
  • Minimum 3 years' experience working with data analytics projects, preferably related to financial services domain.
  • Minimum 3 years' experience developing advanced data visualization and presentations, preferably with Tableau.
  • Experience with business intelligence analytic and data wrangling tools such as Alteryx, Tableau Prep, or other data preparation tool. 
  • Experience with relational databases optimizing SQL to pull and summarize large datasets, report creation and ad-hoc analyses.
  • Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data.
  • Self-starter who can provide thought leadership and drive results in a dynamic and fast evolving environment.

Preferred qualifications, capabilities and skills

  • Experience with Spark SQL, Databricks, Snowflake or other big-data query tools
  • Strong written and oral communication skills; ability to communicate effectively with all levels of management and partners from a variety of business functions
  • Experience in reporting development and testing, and ability to interpret unstructured data and draw objective inferences given known limitations of the data
  • Experience with other data wrangling tools such as SAS or Python.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom