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Statistics Consulting Jobs in Delaware (NOW HIRING)

State-of-Delawar

Registered Nurse III

Dover, DE · On-site

$70 - $90/hr

Advanced Practice Nurse, Nurse Consultant, Nursing Supervisor, Compliance Nurse, Registered Nurse ... Provide professional nursing care services to clients, prepare reports and statistics, and assist ...

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Statistics Consulting information

What is statistics consulting?

Statistics consulting involves providing expert advice and support in the design, analysis, and interpretation of data for research projects, businesses, or organizations. Consultants help clients choose appropriate statistical methods, analyze datasets, and ensure the validity and reliability of their results. They may also assist with study design, data visualization, and communicating statistical findings to non-experts. This service is commonly used in fields like healthcare, social sciences, engineering, and business to make informed decisions based on data.

What are the key skills and qualifications needed to thrive as a statistics consultant?

To thrive as a Statistics Consultant, you need a strong background in statistical theory, data analysis, and a relevant degree such as statistics, mathematics, or a related field. Proficiency with statistical software tools like R, SAS, SPSS, or Python, and sometimes certifications in data analytics or advanced statistics, are typically required. Excellent communication, problem-solving abilities, and the capacity to explain complex findings to non-experts help distinguish top consultants. These skills ensure accurate data-driven insights, effective client communication, and the ability to address diverse analytical challenges.

What are some typical challenges faced in a statistics consulting role and how can I prepare for them?

Statistics consultants often encounter the challenge of translating complex statistical concepts into actionable insights for clients who may have limited technical backgrounds. Additionally, managing multiple projects with tight deadlines and diverse data sources requires strong organizational and communication skills. To prepare, it's helpful to practice explaining statistical methods in simple terms, stay up-to-date with statistical software, and develop efficient project management habits. Building strong relationships with clients and team members also helps ensure smooth collaboration and successful project outcomes.

What is the difference between Statistics Consulting vs Data Analyst?

AspectStatistics ConsultingData Analyst
Required CredentialsTypically a master's or PhD in statistics, mathematics, or related fieldsBachelor's or master's in data science, statistics, or related areas
Work EnvironmentConsulting firms, client sites, or remote; project-basedIn-house or corporate settings, analyzing company data
Employer & Industry UsageConsulting firms, research organizations, industries needing expert statistical adviceBusinesses, tech companies, finance, healthcare

Statistics Consulting involves providing expert advice on complex statistical problems across various industries, often working on a project basis. Data Analysts focus on interpreting data within a company to inform decisions. While both roles require strong statistical skills, consulting emphasizes advisory and problem-solving skills, whereas data analysis centers on data processing and reporting.

What are popular job titles related to Statistics Consulting jobs in Delaware?

For Statistics Consulting jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Statistics Consulting jobs in Delaware look for?

The top searched job categories for Statistics Consulting jobs in Delaware are:

Statistics Consulting jobs near you
Infographic showing various Statistics Consulting job openings in Delaware as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 11% Part Time, and 6% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Data Science Senior Associate- Card Data & Analytics team

JPMorgan Chase & Co.

Wilmington, DE • On-site

$120 - $170/hr

Other

Re-posted 21 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 175 rated banks

Job description

As a Data Science Senior Associate in the Card Data & Analytics team, you will develop AI/ML solutions that drive the bottom line for our Credit Card business. You will utilize your skills in data analytics, consulting, and programming to support strategic initiatives and deliver actionable insights. Collaborate with partners across the Card business to define problems, scope solutions, and deliver high-quality analytical models. Your work will involve a mix of consulting, data science, and programming, with a focus on driving data science and analytics strategies.

Job Responsibilities
  • Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI.
  • Drive data science and analytics strategies, including recommendations on analytical products and standards.
  • Help partners define business problems and scope analytical solutions.
  • Build an understanding of problem domains and available data assets.
  • Research, design, implement, and evaluate analytical approaches and models, including GenAI-based methods.
  • Perform exploratory statistics and data mining tasks on diverse datasets.
  • Communicate findings and obstacles to stakeholders to drive delivery to market.
  • Develop subject matter expertise in financial and operational domains.
  • Code solutions with strong programming skills.
  • Collaborate across teams to deliver the best solutions for clients.
Required Qualifications, Capabilities, and Skills
  • Bachelor’s degree in a relevant quantitative field and 3+ years of data analytics experience, or advanced degree and 2+ years of experience.
  • Exceptional analytical, quantitative, problem-solving, and communication skills.
  • Intellectual curiosity for solving business problems.
  • Leadership and collaboration skills.
  • Knowledge of statistical software (e.g., Python, R, SAS) and data querying languages (e.g., SQL).
  • Familiarity with GenAI and prompt engineering basics (prompt design, evaluation, guardrails).
  • Experience with modern analytics tools (e.g., SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx).
  • Ability to convey complex information to technical and non-technical audiences.
Preferred Qualifications, Capabilities, and Skills
  • Experience with LLM-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for LLM quality, cost, and latency.
  • Understanding of key drivers within the credit card P&L.
  • Financial services background preferred.
  • M.S. degree or equivalent.
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