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Data Science Jobs in Mount Pleasant, SC (NOW HIRING)

Experience with data engineering, data management, or scientific data systems. * Proficiency in SQL and at least once scripting language (Python or R preferred) to build data pipelines, visualize ...

Experience with data engineering, data management, or scientific data systems. * Proficiency in SQL and at least once scripting language (Python or R preferred) to build data pipelines, visualize ...

Data Scientist

Charleston, SC · On-site

$70 - $90/hr

Experience with data engineering, data management, or scientific data systems. * Proficiency in SQL and at least one scripting language (Python or R preferred) to build data pipelines, visualize data ...

Experience with data engineering, data management, or scientific data systems.Proficiency in SQL and at least once scripting language (Python or R preferred) to build data pipelines, visualize data ...

Data Analyst

Charleston, SC · On-site

$105K/yr

Bachelor's Degree in Computer Science, Information Technology, Data Science, other related field * Active DoD SECRET security clearance * Experience with DoW/NAVWAR business practices, data ...

Collaborate with data scientists and AI teams to operationalize models and data products. * Support enterprise AI initiatives through governed, trusted, high-quality data pipelines. * Establish ...

Collaborate with data scientists and AI teams to operationalize models and data products. * Support enterprise AI initiatives through governed, trusted, high-quality data pipelines. * Establish ...

Senior Data Engineer

Charleston, SC · On-site

$99K - $134K/yr

In this role, the Senior Data Engineer will collaborate closely with data analysts, scientists, software engineers, and business stakeholders to improve data accessibility, performance, and ...

Showing results 21-40

Data Science information

See Mount Pleasant, SC salary details

$35.8K

$117.3K

$187.8K

How much do data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data science in Mount Pleasant, SC is $117,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $130,000.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Mount Pleasant, SC?

The most popular types of Data Science jobs in Mount Pleasant, SC are:

What are popular job titles related to Data Science jobs in Mount Pleasant, SC?

For Data Science jobs in Mount Pleasant, SC, the most frequently searched job titles are:

What job categories do people searching Data Science jobs in Mount Pleasant, SC look for?

The top searched job categories for Data Science jobs in Mount Pleasant, SC are:

What cities near Mount Pleasant, SC are hiring for Data Science jobs?

Cities near Mount Pleasant, SC with the most Data Science job openings:

Infographic showing various Data Science job openings in Mount Pleasant, SC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $117,315 per year, or $56.4 per hour.

Senior Data Scientist - Marketing & Customer Analytics

PNC Financial Services Group, Inc.

Charleston, SC • On-site

$100 - $186/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


PNC Bank rating

7.8

Company rating: 7.8 out of 10

Based on 347 frontline employees who took The Breakroom Quiz

89th of 171 rated banks


Job description

Position Overview

At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Senior Data Scientist within PNC's Data, Modeling & Analytics organization specifically within our Marketing & Customer Analytics group, you will be based in Pittsburgh, PA, Tysons Corner or Vienna, VA or Wilmington, DE. The Senior Data Scientist - Marketing Valuations will play a critical role in accelerating profitable growth by developing, scaling, and applying valuation analytics and statistical models to enable decision‑making across marketing strategies. This role focuses on translating customer, offer, and channel economics into actionable valuation frameworks that inform prioritization, optimization, and investment decisions. The ideal candidate combines expertise in statistical modeling and advanced analytics with business acumen to deliver analytical solutions for Marketing Valuations.

Key Responsibilities
  • Valuation model development & Financial Forecasting: Design and develop valuation and forecasting models such as: Net Present Values, Customer Lifetime Value and Offer Economics to guide marketing budget optimization and investment decisions.
  • Apply advanced statistical and causal modeling to quantify incremental impact, uncertainty and trade-offs.
  • Strategic Decision Support: Analyze large datasets to understand customer behavior and translate insights into clear business cases with measurable outcomes.
  • End-to-End Analytical Ownership: Own the full analytical lifecycle, from problem framing and data exploration to model development and validation.
  • Cross-functional collaboration: Partners with marketing strategy, finance, and data teams to drive adoption of valuation outputs, advise on their application, and present findings clearly to senior executives to support strategic decisions.
Preferred Skills and Experience
  • Advanced degree in a quantitative field (e.g., mathematics, statistics, economics etc.) is preferred.
  • Progressive experience in data science, advanced analytics, or quantitative modeling, preferably in financial services or marketing analytics.
  • Demonstrated expertise in marketing valuation concepts, including customer lifetime value, incremental or causal value and offer or channel economics.
  • Intermediate proficiency in Python and SQL. Knowledge of cloud platforms and big data technologies (Spark, Hadoop).
  • Excellent communication skills with the ability to explain complex approaches to non-technical and executive stakeholders.
  • Strong attention to detail.

PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.

Job Description

Leads the implementation of analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights. Directs the data gathering, data processing and data mining of large and complex datasets. Leads the development of algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Leads analytical experiments in a methodical manner to find opportunities for product and process optimization. Presents business insights to management using visualization technologies and data storytelling. Partners with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML) Competencies Data Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access Tools

Work Experience Roles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

Education Masters Certifications No Required Certification(s) Licenses No Required License(s)

Pay Transparency

Base Salary: $100,100.00 – $185,900.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window Generally, this opening is expected to be posted for two business days from 04/09/2026, although it may be longer with business discretion.

Benefits
  • medical/prescription drug coverage (with a Health Savings Account feature)
  • dental and vision options
  • employee and spouse/child life insurance
  • short and long-term disability protection
  • 401(k) with PNC match
  • pension and stock purchase plans
  • dependent care reimbursement account
  • back-up child/elder care
  • adoption, surrogacy, and doula reimbursement
  • educational assistance, including select programs fully paid
  • a robust wellness program with financial incentives

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)

PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Company Culture

For nearly 160 years, PNC has strived to make a meaningful impact for our employees, customers, communities, and shareholders. We believe our success and positive reputation are built on open and honest dialogue, an unwavering focus on smart risk management, relationship-based customer service and community investments. Our inclusive workplace allows our employees to be heard, valued, and developed to do their best work. Being a great place to work means we are making a lasting difference for everyone we serve. Check out the top reasons to join PNC. PNC’s total rewards package includes things like time off, benefits, learning and career development, wellness programs, recognition and much more. The benefits and programs highlighted below are just a sampling of what PNC offers its employees. To learn more, visit our Total Rewards page.

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