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Python Data Science Jobs (NOW HIRING)

TalentOS AI LLC

Python Data Engineer

Houston, TX · On-site

Computer Science, MIS, or related degree * Experience with Data Engineering and building data ... Python, Data Engineering, Data Pipelines, Web Scraping, Oracle, PL SQL, Object-Oriented Design ...

Vitol

Python Data Engineer

Houston, TX · On-site

They are seeking a talented Python Data Engineer to enhance their data assets and support analytical capabilities, working closely with traders, analysts, and data scientists. Responsibilities : • ...

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 ...

Kanak Elite Services Inc

Data Scientist.

Columbus, OH · On-site

Data Science - 7+ yrs * 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 ...

Vitol

Python Data Engineer

Houston, TX · On-site

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Computer Science, MIS or related degree * Experience with Data Engineering and building data ...

Vitol

Python Data Engineer

Houston, TX

Contribute to our developer tools and Python ETL toolkit, including standardization and ... Computer Science, MIS or related degree * Experience with Data Engineering and building data ...

Cynet Systems

Lead Python Data Engineer

Rahway, NJ · On-site

$70 - $75/hr

Lead Python Data Engineer Job Location: Rahway, NJ / WestPoint, PA Job Type: Contract Job Overview ... Bachelor s degree in Information Technology, Computer Science, or a related technology stream.

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Staffingine LLC

AI Engineer

Woodland, 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 ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Requirements: * 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data * Bachelor's degree in Computer Science, Mathematics, or relevant ...

Liberty Mutual

Assistant Director, Data Science

Boston, MA · On-site +1

$161K - $197K/yr

Build out team's geospatial big data infrastructure using geospatial data science techniques & software such as Snowflake, dbt, and Python. * Build geographic risk segmentation models using ...

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How much do python data science jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for python data science in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
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Python Data Science jobs near you

Python Data Scientist / Data Engineer

HRC Global Services

Virginia Beach, VA • Remote

Full-time

Re-posted 27 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.