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Scientist Python Jobs in Long Beach, CA (NOW HIRING)

Senior Python Engineer

Ontario, CA · On-site +1

$123K - $166K/yr

Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks * Have practical experience with AI/ML frameworks and technologies in Python, including large ...

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 ...

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages such as Python or R • Experience with machine learning algorithms and statistical modeling techniques ...

Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search, Vector DB, GenAI, SQL Qualifications: * Bachelors in Statistics, Economics, Computer Science, Engineering ...

Data Scientist

Los Angeles, CA · On-site

$120 - $160/hr

Overview - add details here Summary We're looking for a Senior Data Scientist with a strong ... Strong skills in Python and common ML libraries (e.g., scikit-learn, XGBoost, pandas) * Familiarity ...

New

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages such as Python or R • Experience with machine learning algorithms and statistical modeling techniques ...

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Scientist Python information

See Long Beach, CA salary details

$39.4K

$129.1K

$206.6K

How much do scientist python jobs pay per year?

As of Aug 7, 2026, the average yearly pay for scientist python in Long Beach, CA is $129,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

How does a Scientist Python typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

How much does a scientist Python make?

A Python scientist, often called a data scientist or machine learning engineer, typically earns between $80,000 and $130,000 annually, depending on experience, location, and industry. Advanced skills in Python, data analysis, and machine learning tools can lead to higher salaries, especially in tech hubs or specialized sectors.

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

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

Which scientist Python job is in demand?

Data scientist and machine learning engineer roles that require Python skills are currently in high demand across various industries. These positions often seek proficiency in libraries like Pandas, NumPy, and TensorFlow, along with experience in data analysis, modeling, and visualization. Strong programming skills, relevant certifications, and knowledge of cloud platforms can enhance job prospects in this field.
What are popular job titles related to Scientist Python jobs in Long Beach, CA? For Scientist Python jobs in Long Beach, CA, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Long Beach, CA look for? The top searched job categories for Scientist Python jobs in Long Beach, CA are:
What cities near Long Beach, CA are hiring for Scientist Python jobs? Cities near Long Beach, CA with the most Scientist Python job openings:

Senior Python Engineer

MongoDB

Ontario, CA • On-site, Remote

$123K - $166K/yr

Full-time

Re-posted 7 days ago


Job description

Our Database Experience (DBX) Team

A great MongoDB experience starts with great tools.

The Database Experience team builds the libraries and tools that developers use day-to-day working with MongoDB. Our mission is to increase developer adoption, satisfaction and retention by providing a reliable, enjoyable interface for developers and other end-users.

Our senior engineers are typically specialists in a particular programming language, but are capable of contributing to projects in other languages as well.

For this role, we're looking for someone who will enjoy designing, writing, and supporting open source libraries for the Python ecosystem developers that use MongoDB. This is an opportunity to make a major impact at MongoDB as Python is one of the most popular runtimes for MongoDB users, and our driver has over 3 million daily pypi downloads.

You might be right for this role if you...
  • Have substantial experience writing high-quality software in Python
  • Have extensive knowledge in Python tools and frameworks, scientific python and web development frameworks
  • Have practical experience with AI/ML frameworks and technologies in Python, including large language models and agentic tools are a plus
  • Have an interest in learning and staying up-to-date with Python ecosystem trends and best practices and incorporating them into your work
  • Can make pragmatic design decisions, balancing tradeoffs such as usability, maintainability and delivery time
  • Want to, or already do, participate in open source software development and communities, both online via e.g. GitHub and optionally through conferences and speaking engagements
  • Communicate well, internally and externally, both verbally and in writing
  • Enjoy collaborating with teammates, and mentoring junior engineers and interns
  • Are self-motivated, organized, and have strong time management skills
You'll be on the team responsible for...
  • Developing and supporting the MongoDB Python drivers and subsidiary libraries (PyMongo, Django MongoDB Backend, PyMongoArrow, LangChain MongoDB) and related software, collaborating with peers in our distributed world-wide engineering team
  • Writing and maintaining open source specifications defining common behavior and APIs shared across all of our drivers
  • Investigating bugs and support requests from commercial customers, open source users, and internal users for the libraries our team maintains
  • Working with our Product and Server teams on designs and specifications for new user-facing MongoDB features
Success in this role means...
  • Within one month, you will understand the high-level architecture of the drivers and how MongoDB works, and will have completed a few small bug fixes and/or feature tickets
  • Within three months, you will be contributing effectively day-to-day, fixing bugs, implementing features, investigating and responding to open source user and customer issues, and reviewing your peers' code
  • Within six months, you'll have implemented major, planned new features, contributed to our common driver specifications, shipped a major feature in an open source library, and will be collaborating with the Product team to help craft our roadmap
  • Within twelve months, you'll have significantly improved the quality, performance and maintainability of our codebase, and will be taking the lead in designing and specifying major new features
About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB's unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we're powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It's what makes us MongoDB.

To drive the personal growth and business impact of our employees, we're committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees' wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it's like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273396098