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Senior Python Data Science Jobs in South Carolina

LPL Financial

Sr. Analyst, Data Science

Fort Mill, SC · On-site

$80.40K - $101.40K/yr

S. seeking a Senior Analyst in Data Science to uncover insights that drive strategic decisions and ... in Python for data manipulation, statistical analysis, and machine learning, that goes beyond ...

LPL Financial

Sr. Analyst, Data Science

Fort Mill, SC

$85.90K - $143.17K/yr

Job Overview We are seeking a curious and analytically rigorous Senior Analyst, Data Science to ... Proficiency in Python for data manipulation, statistical analysis, and machine learning, that goes ...

Varsity Tutors

Data Science Tutor

Greenville, SC · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Data Science Tutor

Mount Pleasant, SC · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Data Science Tutor

Charleston, SC · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Data Science Tutor

Florence, SC · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

Varsity Tutors

Data Science Tutor

Columbia, SC · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

The Jacobson Group

$175K - $200K/yr

Our client, a regional property and casualty insurance company, is seeking a Data Science Director ... Expert-level proficiency in SQL, Python, R or other data interrogation tools * Strong data ...

Varsity Tutors

Python Tutor

Columbia, SC · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Florence, SC · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Charleston, SC · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Greenville, SC · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

Varsity Tutors

Python Tutor

Mount Pleasant, SC · Remote

$40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

DetaPent

Junior Data Scientist

Columbia, SC · On-site +1

$60K - $90K/yr

Strong proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow). Solid understanding of Data Science with a heavy focus ...

Artefact

Senior Data Scientist - Canada

North, SC

Strong knowledge of data science algorithms and at least one proven experience in developing Statistical and ML algorithms * Proficient in Python (preferred) and/or R Preferred: * Financial sector ...

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Senior Python Data Science information

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

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Senior Python Data Science jobs near you
Infographic showing various Senior Python Data Science job openings in South Carolina as of May 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.
Sr. Analyst, Data Science

Sr. Analyst, Data Science

LPL Financial

Fort Mill, SC • On-site

$80.40K - $101.40K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

LPL Financial rating

7.6

Company rating: 7.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services

Job description

Job Summary:
LPL Financial is a leading wealth management firm in the U.S. seeking a Senior Analyst in Data Science to uncover insights that drive strategic decisions and product development. This role involves collaborating with teams to frame analytical problems, executing analyses, and translating results into actionable recommendations.
Responsibilities:
• Design and execute end-to-end analyses that surface meaningful business insights, from data extraction and cleaning through modeling and interpretation.
• Apply statistical methods—including hypothesis testing, regression, and causal inference—to answer business questions with rigor and clarity.
• Translate complex analytical outputs into clear narratives and visualizations for business stakeholders and senior leadership.
• Build, validate, and deploy supervised and unsupervised machine learning models to support segmentation, prediction, and optimization use cases.
• Evaluate model performance using appropriate metrics and communicate trade-offs and assumptions to both technical and non-technical audiences.
• Stay current on advances in applied ML and bring emerging methods to bear on relevant business problems.
• Design and analyze A/B tests and observational studies to identify causal relationships and measure the impact of business initiatives.
• Apply quasi-experimental methods when randomized experiments are not feasible.
• Partner with business teams to build a culture of evidence-based decision-making.
• Work closely with data engineers, product managers, and business stakeholders to access, understand, and leverage data assets across the enterprise.
• Document analytical workflows, assumptions, code and findings to ensure reproducibility and knowledge sharing across the team.
• Contribute to building a scalable data science practice by identifying opportunities to improve tools, processes, and methodologies.
Qualifications:
Required:
• 2–4 years of experience in a data science, quantitative analysis, or applied research role in a business setting.
• Proficiency in Python for data manipulation, statistical analysis, and machine learning, that goes beyond Jupyter notebooks; strives for clean, Git version-controlled code.
• Solid grounding in statistics, probability, and machine learning fundamentals.
• Hands-on experience with causal inference methods and experimental design.
• Experience working with large-scale data in SQL & Snowflake; comfortable building and maintaining clean, reproducible data pipelines as needed to support modeling and analysis work.
• Data visualization skills and ability to communicate findings clearly to non-technical stakeholders; note this role will not be focused on developing dashboards.
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field required.
Preferred:
• Financial services experience is a plus but not required.
• Master’s degree preferred.
Company:
LPL Financial provides investment solutions and tools for independent financial advisors. Founded in 1968, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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