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Python Data Scientist Jobs in San Diego, CA (NOW HIRING)

Python, R, SQL, and Spark for data analysis and modeling * Machine learning libraries such as ... Ability to mentor junior data scientists and lead cross-disciplinary technical teams

Python, R, SQL, and Spark for data analysis and modeling โ€ข Machine learning libraries such as ... data scientists and lead cross-disciplinary technical teams Company : Kros-Wise, Inc. is a ...

The Senior Data Scientist will provide data analytics for the afloat network system design ... Python or similar programming languages โ€ข Experience using version control systems (e.g., Git ...

The Clinical Data Scientist (CDS) turns Exagen's clinical, serologic, and laboratory data into ... Develop and maintain reproducible data preparation and quality-control pipelines in Python and SQL ...

The Clinical Data Scientist (CDS) turns Exagen's clinical, serologic, and laboratory data into ... Develop and maintain reproducible data preparation and quality-control pipelines in Python and SQL ...

The Clinical Data Scientist (CDS) turns Exagen's clinical, serologic, and laboratory data into ... Develop and maintain reproducible data preparation and quality-control pipelines in Python and SQL ...

New

Overview Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network ... Expert-level proficiency in SQL as well as Python or R Demonstrated success integrating ML models ...

Data Scientist

La Jolla, CA ยท On-site

$74K/yr

Contributing to the development of automated workflows using Python R or SQL.; and * Maintaining ... Coordinating fishery data efforts with managers or scientists; and * Working across teams to define ...

Senior Data Scientist

San Diego, CA ยท On-site

$149K - $202K/yr

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this ... Expert-level proficiency in SQL as well as Python or R Demonstrated success integrating ML models ...

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this ... Expert-level proficiency in SQL as well as Python or R Demonstrated success integrating ML models ...

Senior Data Scientist

San Diego, CA ยท On-site

$125 - $150/hr

Join the Intuit Customer Success team as a Senior Data Scientist within our Expert Network. In this ... Expert-level proficiency in SQL as well as Python or R. * Demonstrated success integrating ML ...

Data Ops Engineer

San Diego, CA ยท On-site

$121K - $145K/yr

You should possess deep expertise in Python, data science libraries, and visualization/BI tools to lead advanced analytics initiatives supporting mission-critical objectives. The ideal candidate ...

Mathematics, statistics, computer science, data science or field directly related to the position ... Modifying software using Python, R or SQL. OR SUBSTITUTION OF EDUCATION: One full year of graduate ...

Showing results 21-40

Python Data Scientist information

See San Diego, CA salary details

$39.8K

$130.3K

$208.6K

How much do python data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for python data scientist in San Diego, CA is $130,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $144,400.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

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 specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.

What are popular job titles related to Python Data Scientist jobs in San Diego, CA?

For Python Data Scientist jobs in San Diego, CA, the most frequently searched job titles are:

What job categories do people searching Python Data Scientist jobs in San Diego, CA look for?

The top searched job categories for Python Data Scientist jobs in San Diego, CA are:

What cities near San Diego, CA are hiring for Python Data Scientist jobs?

Cities near San Diego, CA with the most Python Data Scientist job openings:

Infographic showing various Python Data Scientist job openings in San Diego, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,313 per year, or $62.7 per hour.

Senior Data Scientist

Kros-Wise

San Diego, CA โ€ข On-site

Full-time

Re-posted 28 days ago


Job description

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning model development, and data-driven decision support within a Department of Defense (DoD) program environment. This role involves architecting and deploying end-to-end data solutions that enhance operational effectiveness, readiness forecasting, and mission-critical insights for Navy enterprise systems.

Key Responsibilities

  • Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms
  • Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources
  • Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences
  • Collaborate with cross-functional teams including software engineers, data engineers, and subject matter experts
  • Translate mission needs into analytical frameworks, model requirements, and implementation strategies
  • Validate and tune models for performance, explainability, and operational relevance
  • Author technical reports, white papers, and decision briefings for stakeholders and senior leadership

Minimum Qualifications

  • U.S. Citizenship with an active or interim Secret clearance
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred)
  • 10+ years of professional experience in data science and leadership or senior technical role
  • Security+ Certification
  • Proven experience with:
    • Python, R, SQL, and Spark for data analysis and modeling
    • Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost
    • Data visualization tools like Power BI, Tableau, or Plotly
    • Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows
  • Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI)

Additional Preferred Qualifications

  • Experience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analytics
  • Familiarity with DoD data governance, data labeling, and ethical AI guidelines
  • Strong understanding of model operationalization, A/B testing, and production monitoring
  • Knowledge of data engineering concepts including ETL pipelines, data lakes, and data mesh architectures
  • Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)
  • Ability to mentor junior data scientists and lead cross-disciplinary technical teams