1

Senior Python Data Science Jobs in York, SC (NOW HIRING)

Senior AI Data Scientist Location: Charlotte, NC Contract Length: 12 months Pay Range: $65 to $68 Must Haves * Hands-on experience with LLMs and GenAI concepts * Strong Python (data analysis ...

Sr. Python Web Developer

Charlotte, NC · On-site

$118.70K - $159.70K/yr

Role: Sr. Python Web Developer/Only USC & GC Location: Charlotte, NC Onsite position Fulltime ... Able to integrate multiple data sources and databases into one system. * Understanding of the ...

Sr. Python Web Developer

Charlotte, NC · On-site

$118.70K - $159.70K/yr

Role: Sr. Python Web Developer Location: Charlotte, NC Onsite position Fulltime position JD Skill ... Able to integrate multiple data sources and databases into one system. * Understanding of the ...

Sr. Python Web Developer

Charlotte, NC · On-site

$118.70K - $159.70K/yr

Role: Sr. Python Web Developer Location: Charlotte, NC Onsite position Fulltime position *****NO ... Able to integrate multiple data sources and databases into one system. * Understanding of the ...

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 ...

Python developer

Charlotte, NC · On-site

$49 - $67.75/hr

Sr Python developer Work Location : Charlotte NC Face to Face interview needed in charlotte NC 12 ... Bachelor's degree in Computer Science, Information Technology, or related field. * 10+ years of ...

Sr. Analyst, Data Science

Fort Mill, SC · On-site

$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 ...

The Senior Data Scientist is a key role within the Data Science team that involves leading complex ... data science role, showcasing solid abilities in SQL and Python. * Excellent data analysis ...

next page

Showing results 1-20

Senior Python Data Science information

See York, SC salary details

$51K

$131.7K

$180.8K

How much do senior python data science jobs pay per year?

As of May 30, 2026, the average yearly pay for senior python data science in York, SC is $131,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $151,600.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Senior Python Data Science jobs in York, SC? For Senior Python Data Science jobs in York, SC, the most frequently searched job titles are:
Infographic showing various Senior Python Data Science job openings in York, SC as of May 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $131,654 per year, or $63.3 per hour.
Senior Python Data Engineer #3606832

Senior Python Data Engineer #3606832

Axiom Path

Charlotte, NC • Hybrid

$75 - $80/hr

Full-time

Posted 2 days ago


Job description

Be Part Of A High-Performing Team:

Join a technology team supporting a leading financial services environment where data-driven systems, scalable applications, and reliable engineering practices are critical to business operations. This team works across technical and business groups to build solutions that collect, process, and deliver large volumes of data for analysis, reporting, and downstream application needs. The environment is collaborative, fast-moving, and suited for a senior engineer who can work independently while partnering closely with cross-functional stakeholders.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a hybrid opportunity based in Charlotte, NC, supporting a long-term technical initiative within a financial services technology group. The role offers exposure to back-end engineering, ETL development, APIs, cloud data tooling, and enterprise-scale data workflows.

How You Will Make An Impact

  • Build and maintain scalable data pipelines that gather, transform, store, and process large volumes of data.
  • Develop server-side applications, APIs, scripts, and back-end components using Python and C#.
  • Support ETL development, data quality checks, and optimization of data storage and processing workflows.
  • Integrate databases, third-party services, cloud data tools, and internal APIs into reliable application solutions.
  • Write clean, efficient, well-documented code and participate in unit testing, debugging, and code reviews.
  • Collaborate with business and technical teams to gather requirements, implement solutions, and support CI/CD delivery practices.

Are you an experienced Python data engineering professional ready to make an impact?

  • 10+ years of senior-level software engineering, data engineering, or back-end development experience.
  • Strong hands-on Python development experience, ideally in data-heavy, API-driven, or enterprise back-end environments.
  • Strong SQL skills with experience working across relational databases and large datasets.
  • Experience developing ETL pipelines and supporting data quality, transformation, and storage optimization.
  • Hands-on experience with cloud data tools such as AWS Glue, Azure Data Factory, or comparable platforms.
  • C# development experience for server-side applications, APIs, or enterprise integrations.
  • Experience writing unit tests, debugging applications, participating in code reviews, and supporting CI/CD workflows.
  • Strong analytical thinking, documentation discipline, and ability to work independently or within Agile teams.
  • Financial services or capital markets experience is a plus.

#dice