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Python Data Scientist Jobs (NOW HIRING)

Kanak Elite Services Inc

Data Scientist.

Columbus, OH · On-site

SAS - 5+ * Python -5+ * SQL * Jupyter, Data Robot preferred * AI tools preferred * BS w/financial svcs or auto industry exp. required Required: • Bachelor's degree (Major in statistics, computer ...

Staffingine LLC

Senior Data Scientist

Los Angeles, CA · On-site

Design develop and deploy machine learning models and algorithms using Python Lead data science projects from concept to implementation ensuring timely delivery and quality outcomes * Perform ...

VC5 Consulting

Python Data Engineer

Houston, TX

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to ... Interface directly with traders, analysts, researchers, and data scientists to gather, refine, and ...

Nalley Consulting

Data Scientist - Sr

Washington, DC · On-site

Data Scientist LCAT: Sr Location: Pentagon Shift: No Required clearance: Active TS/SCI clearance ... Python and Tableau experience. * 7+ years of experience with data exploration, data cleaning, data ...

Nalley Consulting

Data Scientist - Sr

Arlington, VA · On-site

Data Scientist LCAT: Sr Location: Pentagon Shift: No Required clearance: Active TS/SCI clearance ... Python and Tableau experience. * 7+ years of experience with data exploration, data cleaning, data ...

Motion Recruitment

GenAI Data Scientist

Charlotte, NC · Hybrid

Python (data analysis, ML libraries) * SQL and data manipulation at scale * Advanced analytics and ... The GenAI Data Scientist supports GenAI initiatives through advanced analytics, model evaluation ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Data Scientist LCAT: Mid Location: Reston, Virginia This position is contingent upon award ... Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Data Scientist LCAT: Mid Location: Reston, Virginia This position is contingent upon award ... Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis ...

Nalley Consulting

Data Scientist - Sr

Reston, VA · On-site

Data Scientist LCAT: Senior Location: Reston, Virginia This position is contingent upon award ... Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis ...

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Python Data Scientist information

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How much do python data scientist jobs pay per year?

As of Jun 11, 2026, the average yearly pay for python data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

What are some common challenges faced by Python Data Scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

What is a Python Data Scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

What are the key skills and qualifications needed to thrive as a Python Data Scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.
More about Python Data Scientist jobs
What cities are hiring for Python Data Scientist jobs? Cities with the most Python Data Scientist job openings:
What states have the most Python Data Scientist jobs? States with the most job openings for Python Data Scientist jobs include:
What job categories do people searching Python Data Scientist jobs look for? The top searched job categories for Python Data Scientist jobs are:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in the United States as of June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Python Data Scientist / Data Engineer

HRC Global Services

Virginia Beach, VA • Remote

Full-time

Posted 23 days ago

Job description

Python Data Scientist / Data Engineer

Python Data Scientist / Data Engineer (PySpark, ETL, Notebooks, Databricks) Summary We're hiring a versatile Python Data Scientist / Data Engineer to design, implement, and productionize scalable data pipelines and analytics workflows.

The role requires deep PySpark experience, strong ETL design, experience with interactive notebooks, and familiarity with Databricks or similar managed Spark platforms.

Key responsibilities

* Design and build robust ETL/ELT pipelines using PySpark for batch and near-real-time workflows.

* Develop, optimize, and schedule Spark jobs on Databricks (or equivalent Spark environment).

* Work with data scientists and product teams to transform business requirements into data models, features, and dashboards.

* Implement data validation, monitoring, and lineage to ensure data quality and reliability.

* Create reproducible notebooks for exploration, prototyping, and handoff to production pipelines.

* Tune performance of Spark jobs (memory, partitioning, shuffle reduction) and optimize cluster usage.

* Collaborate on building CI/CD for data workflows, including tests for data transformations and schema changes.

* Document architecture, ETL processes, and best practices.

Required qualifications

* 3+ years experience in data engineering, data science, or analytics engineering roles.

* Strong Python programming and hands-n PySpark experience developing data transformations at scale.

* Experience with Databricks (jobs, clusters, Delta Lake) or equivalent managed Spark platforms.

* Solid understanding of ETL/ELT patterns, data modeling, and data warehousing concepts.

* Comfortable using Jupyter or Databricks notebooks for exploration and prototyping.

* Experience with SQL and working knowledge of cloud data storage systems (S3, ADLS) and databases.

* Familiarity with orchestration tools (Airflow, Prefect, Dagster) and awareness of CI/CD for data pipelines.