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Associate Data Scientist Jobs in Easley, SC (NOW HIRING)

Regional Finance

Senior Associate, Data Analyst

Greer, SC · On-site

$82K - $104K/yr

As a Senior Associate, Data Analyst, you'll play a key role in transforming data into meaningful ... Bachelor's degree in Computer Science, Information Systems, Mathematics/Statistics, Data Science ...

Regional Finance

Senior Associate, Data Analyst

Greer, SC · On-site

$82K - $104K/yr

As a Senior Associate, Data Analyst, you'll play a key role in transforming data into meaningful ... Bachelor's degree in Computer Science, Information Systems, Mathematics/Statistics, Data Science ...

AFL

Senior BI & Data Analyst

Duncan, SC · On-site

Minimum of an Associate's degree in Computer Science, MIS, Computer Engineering, Mathematics, Science or Business Administration * 7-10 years of in-depth data analysis experience * Good handle on ...

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$54K

$63.8K

$121K

How much do associate data scientist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for associate data scientist in Easley, SC is $63,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,400.00 and $55,800.00 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.

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The most popular types of Data Scientist jobs in Easley, SC are:

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Associate Data Scientist jobs near you
Infographic showing various Associate Data Scientist job openings in Easley, 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 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $63,845 per year, or $30.7 per hour.

Senior Associate, Data Analyst

Greer, SC • On-site

Regional Finance
Finance and Insurance • 1 - 5K employees

6.4

Company rating: 6.4 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

142nd of 151 rated financial services

People enjoy working here

Recommended by parents

Respectful managers

Learn more about Regional Financeexternal

$82K - $104K/yr

Full-time

Posted 12 days ago

Job description

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times.
We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team.
If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!
Ready to make an impact with data? As a Senior Associate, Data Analyst, you'll play a key role in transforming data into meaningful insights that support every area of the business. Using modern analytics, reporting, and AI-powered tools, you'll help drive smarter decisions and operational success.
Duties and responsibilities
  • Build new, informative dashboards and enhance existing dashboards
  • Enhance reporting capabilities by incorporating forecasting, trend analysis, and forward-looking performance indicators where applicable
  • Partner with business stakeholders to gather requirements, translate business questions into analytical solutions, and ensure reporting outputs are actionable and aligned with business objectives
  • Reconcile data from source to reporting presentation layer
  • Analyze company metrics, both methodologies and calculations, and produce recommendations for management to standardize where needed
  • Become SME on current and future data infrastructures
  • Perform ad hoc data and reporting analyses
  • Develop proposals for fully automated data and reporting solutions and present to management/stakeholders
  • Support data ownership and governance activities for the Data & Analytics team, including data definition alignment, data quality rule creation, documentation, and issue resolution for reporting assets
  • Support the ongoing Enterprise Data Warehouse development effort, inclusive of technical requirements analysis and user acceptance testing, as needed
  • Present convincing arguments to improve business processes backed by sound data and analytical methods

Minimum Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Mathematics/Statistics, Data Science, Finance/Economics or equivalent work experience
  • Proven business experience in a reporting or analytics role for at least 5 years
  • Experience building reports using modern Business Intelligence tools
  • Experience using AI-enabled productivity or analytics tools to improve reporting, documentation, automation, or analytical workflows, inclusive of building skills, markdown files, and agents
  • Fluency in SQL
  • Financial Services experience

Preferred Qualifications
  • Master's Degree in Data Science, Data Analytics, or Statistics
  • Experience with Snowflake
  • Consumer finance experience
  • Advanced coding experience in using programming languages like Python, R, Spark, and Scala
  • Experience using Sigma

Critical Competencies
  • Experience working with complex data sets
  • Understanding of loan amortization methods and schedules
  • Naturally curious, challenges status quo
  • Keen attention to detail, ability to resolve issues through root cause analysis
  • Ability to manage multiple, competing priorities
  • Excellent communication skills across various levels of the organization
  • Self-directed, demonstrated ability to effectively work remotely

Working conditions
Regular day job. Hybrid work environment, primarily involving computer-based analytical, reporting, and stakeholder communication activities.
If you are a job applicant who resides in the state of California, please review our California Employee Privacy Policy at the following link: https://regionalfinance.com/wp-content/uploads/2022/11/UPDATED-Employee-Privacy-Policy-11.2022.pdf
#LI-onsite
Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law ("Protected Characteristics"). Regional's policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.

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