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Data Science And Analytics Jobs in Fort Mill, SC

IFab Corporation

Data Scientist

Gastonia, NC · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) * Proven experience in data analysis, machine learning, or predictive modeling

Industrial Fabricators

Data Scientist

Gastonia, NC · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master's preferred) * Proven experience in data analysis, machine learning, or predictive modeling

Bank of America

Data Scientist II

Charlotte, NC · On-site

The data science team (within GPS) is working on more than five projects that are driving/will ... Business Analytics * Data Visualization * Presentation Skills * Risk Management * Adaptability

Truist

Decision Scientist III

Charlotte, NC

... data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. ...

Truist

Decision Scientist III

Charlotte, NC

... data-driven insights powered by analytics in support of enhanced decision-making. Focus on continuous improvement in decision science delivery and outcomes in pursuit of business optimization. 5. ...

Td

Data Scientist III - FCRM Risk Modeling

Charlotte, NC · On-site

$96K - $155K/yr

Analytical thought leadership and stays current on developments in data mining and the application of data science * Solicits and offers ideas for improving business processes through insights with ...

Td

Data Scientist III - FCRM Risk Modeling

Charlotte, NC · On-site

$96K - $155K/yr

Analytical thought leadership and stays current on developments in data mining and the application of data science * Solicits and offers ideas for improving business processes through insights with ...

Td

Data Scientist II (US) FCRM Modeling

Charlotte, NC · On-site

Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that ...

Truist

Data Scientist I - Fraud Reporting

Charlotte, NC · On-site

Bachelor's degree and zero to four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education ...

Guidehouse

Data Engineer Lead

Charlotte, NC · On-site

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust What You Will Do: Guidehouse is seeking a Data Engineer Lead to lead the design, development, and ...

MM International

Data scientist

Charlotte, NC · On-site

... optimizing Data science solutions and help the business to address complex problems. Candidate ... the Data analysis libraries like pandas Experience in web API calls Strong problem solving ...

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All JobsData Science And Analytics JobsData Science And Analytics Jobs in Fort Mill, SC

Data Science And Analytics information

See Fort Mill, SC salary details

$33K

$107.9K

$172.7K

How much do data science and analytics jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science and analytics in Fort Mill, SC is $107,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,600.00 and $119,500.00 per year, depending on experience, location, and employer.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.

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

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology, with opportunities for advancement and specialization.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, data visualization tools, and statistical analysis, often with certifications or experience in big data platforms and SQL. Job responsibilities include interpreting complex data, building predictive models, and supporting data-driven decision-making.
Data Science And Analytics jobs near you
Infographic showing various Data Science And Analytics job openings in Fort Mill, SC as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $107,857 per year, or $51.9 per hour.

Data Scientist

IFab Corporation

Gastonia, NC • On-site

Full-time

Re-posted 23 days ago

Job description

IFAB Corp is seeking a highly analytical and results-driven Data Scientist to transform data into actionable insights that support strategic decision-making. The role involves working closely with cross-functional teams to analyze complex datasets, develop predictive models, and optimize business processes.

Key Responsibilities

  • Collect, clean, and analyze structured and unstructured data from multiple sources
  • Develop and implement machine learning models to solve business problems
  • Generate insights and present findings to stakeholders in a clear and actionable manner
  • Build dashboards and visualizations to track key performance indicators (KPIs)
  • Collaborate with business units (e.g., operations, marketing, finance) to identify opportunities for data-driven improvements
  • Conduct A/B testing and statistical analysis to evaluate business initiatives
  • Automate data processes and improve data pipelines for efficiency
  • Ensure data quality, integrity, and governance standards are maintained

Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field (Master’s preferred)
  • Proven experience in data analysis, machine learning, or predictive modeling
  • Strong proficiency in Python, R, or SQL
  • Experience with data visualization tools (e.g., Tableau, Power BI)
  • Knowledge of statistical methods and data mining techniques
  • Familiarity with big data tools (e.g., Hadoop, Spark) is a plus
  • Strong problem-solving and critical thinking skills

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