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Entry Level Python Data Science Jobs in San Francisco Bay Area, CA

Larus Technologies

Data Scientist

Ottawa, ON · On-site

This is an opportunity to work on various data science problems, while communicating directly with ... Python data analysis and manipulation tools (e.g. pandas, numpy, dask); * Source control-based ...

Targeted Talent

Data Scientist

Ottawa, ON · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Targeted Talent

Data Scientist

Ottawa, ON · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Targeted Talent

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Targeted Talent

Data Scientist

Kitchener, ON · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Qualifications Must-Have * 1+ years of professional data science experience. * Experience at a leading technology, research, or quantitative firm. * Strong command of Python , SQL , statistical ...

Manulife

Data Scientist

Toronto, ON · Hybrid

Minimum of 2 years of applicable experience in data science, advanced analytics, machine learning, or AI solution development. * Strong programming capability in Python, R, or similar analytical ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Qualifications Must-Have * 1+ years of professional data science experience. * Experience at a leading technology, research, or quantitative firm. * Strong command of Python , SQL , statistical ...

Scientific Games

Senior Data Scientist

Toronto, ON

Design, build, and deploy end-to-end decision science systems spanning demand forecasting ... Strong Python proficiency across pandas, scikit-learn, PyTorch, and TensorFlow * Strong SQL and ...

CorGTA

Data Scientist - 12 month contract

Toronto, ON

CA$70/hr

Experience: 58 years of applied industry experience in data science, statistical analysis, and ... Advanced, production-level programming skills in Python (Pandas, Scikit-Learn, Statsmodels) and ...

Mackenzie Financial Corporation

CA$49K - CA$51K/yr

This position is responsible for supporting the Data Science team in Analytics and Data Engineering ... Knowledge of SQL, Python, and Git * Familiarity with Looker, Tableau, Power BI, and/or other BI and ...

Manulife

Associate Data Scientist - GenAI

Toronto, ON · Hybrid

CA$69K - CA$115K/yr

D. in Computer Science, Data Science, Statistics, or a related field. * Proven experience as a Data ... Proficiency in programming languages such as Python and experience with machine learning libraries ...

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Entry Level Python Data Science information

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$69

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How much do entry level python data science jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for entry level python data science in San Francisco Bay Area, CA is $69.07, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 per hour, depending on experience, location, and employer.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in San Francisco Bay Area, CA?

For Entry Level Python Data Science jobs in San Francisco Bay Area, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in San Francisco Bay Area, CA look for?

The top searched job categories for Entry Level Python Data Science jobs in San Francisco Bay Area, CA are:

What cities near San Francisco Bay Area, CA are hiring for Entry Level Python Data Science jobs?

Cities near San Francisco Bay Area, CA with the most Entry Level Python Data Science job openings:

Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in San Francisco Bay Area, CA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $143,658 per year, or $69.1 per hour.

Data Scientist

Larus Technologies

Ottawa, ON • On-site

Full-time

Medical, Dental, PTO

Re-posted 13 days ago

Job description

Job Summary
Full-time: 37.5 Hours per week, Monday to Friday
Location: Ottawa Office (Up to 3 days per week), 70 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 and Ottawa-based Home Office, or, remote if located outside of the National Capital Region.
Reporting To: Director of Technology
Salary Range: $80,000 to 95,000
Type of Vacancy: New
Larus is growing and we are looking for talented and enthusiastic individuals to join our team!  We are in search of self-motivated individuals to join the Larus Labs team as Data Scientists, where we develop end-to-end real-time solutions for the enterprise market. We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. This is an opportunity to work on various data science problems, while communicating directly with enterprise clients to gather requirements, define problems, and develop applied solutions.
Key Responsibilities
  • Design and implement scalable, distributed AI/ML-based systems; 
  • Design, development, integration, and testing of AI/ML models;
  • Advocate high-quality and best practices in software design and development; 
  • Close interaction with other team members on system integration and validation; 
  • Perform data analysis, visualization, and modelling with large datasets;
  • Independently interacting clients, explaining technical concepts to technical and non-technical stakeholders;
  • Perform data acquisition, cleaning, and transformation; 
  • Record and document work;
  • Meet sprint goals with the team and release deliverables to stakeholders and     
  • customers; and,
  • Other duties as assigned. 

Qualifications
Some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies, we welcome motivated individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.  
Expected qualifications include:
  • University undergraduate degree in STEM (e.g., Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Economics, Computer Science, etc.);
  • Master’s or Ph.D. is considered an asset;
  • 2+ years of direct experience in the design, development, deployment, and verification of AI/ML models in production pipelines;
  • Experience in a client facing role, regularly meeting client demands;
  • Passion for learning and solving complex problems;
  • Strong object-oriented programming in Python; 
  • Strong communication skills; 
  • Ability to work in a dynamic, fast-paced work environment; 
  • Organized and focused; and, 
  • Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada).
Technical Skill Requirements, working knowledge of: 
  • Python;
  • Machine Learning and Data Mining;  
  • AI/ML Packages (e.g. Tensorflow, Keras, Scikit-learn, PyTorch, Jax); 
  • Python data analysis and manipulation tools (e.g. pandas, numpy, dask);
  • Source control-based system (e.g. Git);   
  • Trend analysis and predictive modeling; and,
  • Data collection, analysis and reporting. 
Preferred Technical Skills: 
  • MLOps (e.g., Kubeflow); 
  • Distributed Computing (e.g., Coud, Docker, Kubernetes, Dask); 
  • Software Unit Testing (e.g., Python Unittest); 
  • Continuous Integration/Continuous Deployment Systems (e.g., Azure Devops); 
  • Data Visualization (e.g., matplotlib, seaborn, streamlit); 
  • Optimization (e.g., optuna, katib, jmetalpy, GA); and, 
  • Mathematics (e.g., linear algebra, statistics, mathematical programming).
Preferred Client Skills: 
  • Ability to work with client stakeholders across all levels of an organization, from individual contributors to senior executives;
  • Strong interpersonal and relationship-management skills;
  • Strong active-listening skills and the ability to translate business needs into data science solutions;
  • Experience managing client expectations while balancing project scope, timelines, and priorities; and
  • Ability to build trust and credibility with clients through professionalism, responsiveness, and consistent delivery.
Benefits 
  • Competitive compensation package; $80,000-95,000
  • Comprehensive Health and Dental insurance package; 
  • Competitive vacation and paid time off; 
  • Company-sponsored team-building events; and
  • Learning and development opportunities. 

About Larus
Larus Technologies Corporation (http://www.larus.com ) is an Ottawa-based software product and research company capable of developing intelligent systems and engineering simulations primarily for business, Defence and security applications. Larus’ core business areas include Data Analytics and Fusion Solutions, including the Total::Insight™ Decision Support System and the Total::Perception™ Systems Simulation Engine, Software Engineering Services, primarily in the Public Security and Defence sectors; and Research and Engineering, focusing on innovations in Artificial Intelligence, Machine Learning, and Data Science.​ 
We invite enthusiastic and qualified applicants to submit their cover letter and resume through our JazzHR system. 
We thank all applicants; however, only those selected for an interview will be contacted.  
At Larus, we celebrate diversity and are committed to creating an inclusive environment for all employees.  
Larus has an accommodation process and provides accommodation for applicants with disabilities.  If you have specific ergonomic needs or require other accommodation because of a disability or a medical need, please don’t hesitate to contact Larus at hr@larus.com

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