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Summer Python Developer Google Jobs in Menifee, CA

Esri

Product Engineer II - Cloud Infrastructure

Redlands, CA · On-site

$56 - $75/hr

... Azure, or Google Cloud, including services like EC2, S3, SQS, Azure Virtual Machines, Storage ... Java, Python, or other scripting languages Company : Esri is a software company that devolops ...

CACi

Data Analyst

Riverside, CA · On-site

$142K/yr

Collaborate with data engineers to integrate Python-based solutions into existing data ... Experience with cloud platforms (e.g., AWS, Google Cloud, Azure). This position is contingent on ...

CACI International, Inc.

Data Analyst

Riverside, CA · On-site

$142K/yr

Collaborate with data engineers to integrate Python-based solutions into existing data ... Experience with cloud platforms (e.g., AWS, Google Cloud, Azure). This position is contingent on ...

San Manuel Casino

Serrano Language Instructor

Highland, CA · On-site

$45K - $60K/yr

... Day, Waa't, Summer Academy; Spring and Fall celebrations. 5.Individually and as part of ... Working proficiency with online and in-person educational platforms and technologies (i.e., Google ...

All JobsSummer Python Developer Google JobsSummer Python Developer Google Jobs in Menifee, CA

Summer Python Developer Google information

See Menifee, CA salary details

$13

$62

$91

How much do summer python developer google jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for summer python developer google in Menifee, CA is $62.03, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $70.43 per hour, depending on experience, location, and employer.

What is the difference between Summer Python Developer Google vs Summer Data Analyst Google?

AspectSummer Python Developer GoogleSummer Data Analyst Google
Required SkillsPython, programming, data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis teams, reporting tasks
Industry UsageTech, software, AI projectsBusiness, marketing, product insights

Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.

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Senior Data Scientist / ML Analytics / BI & Reporting / SQL / Python / Irvine CA

Motion Recruitment Partners, LLC

Lake Forest, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Our client is a global leader in the iOT space for retail loss prevention, operations management, and analytics, with our headquarters based in South OC, California. They maintain a strong presence across the globe, with offices in the UK, Australia, China, Hong Kong, Germany, France, and Canada
They are urgently seeking a Sr. level Data Scientist & Analytics / ML Engineer with strong SQL, Python, Business Intelligence, Reporting Dashboars and Predictive Models.
This individual will play a key role in advancing the company's analytics capabilities beyond traditional business intelligence by developing predictive models, operational analytics, customer intelligence frameworks, and scalable reporting solutions that support proactive decision-making and measurable business impact.
The ideal candidate combines strong technical and analytical expertise with the ability to understand business operations, communicate insights effectively, and partner cross-functionally to solve complex operational and customer challenges.
Role & Responsibilities
Customer & Operational Analytics:
  • Analyze customer, operational, monitoring, video classification, and theft-related data to identify trends, risks, opportunities, and actionable insights.
  • Develop analytical frameworks to measure customer utilization, operational effectiveness, subscription adoption, and customer value realization.
  • Support proactive customer engagement strategies through data-driven insights and trend analysis.
  • Partner with leadership teams to improve visibility into operational and customer performance metrics.
Predictive Modeling & Data Science:
  • Design, build, and maintain predictive models related to theft trends, customer behavior, operational risks, service utilization, and escalation indicators.
  • Develop forecasting and trend analysis models that support operational planning and customer success initiatives.
  • Apply statistical analysis, machine learning, and advanced analytics techniques where appropriate to improve business outcomes.
  • Continuously evaluate and refine model performance and business relevance.
Business Intelligence & Visualization:
  • Develop dashboards, KPI reporting, and analytics tools using Power BI, Tableau, or similar platforms.
  • Create executive-level reporting and operational scorecards that support strategic decision-making.
  • Automate reporting and improve scalability of analytics and data visualization capabilities.
  • Translate complex analytical findings into clear, business-oriented recommendations.
Cross-Functional Collaboration:
  • Partner closely with Operations, Customer Success, Sales, Product Management, IT, Engineering, and Finance teams to identify business opportunities and analytics priorities.
  • Support initiatives involving AI-driven analytics, workflow automation, and operational optimization.
  • Collaborate with technical teams to improve data quality, accessibility, integration, and governance across systems and platforms.
Must Have Skills:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or related field.
  • 4-8 years of experience in data science, predictive analytics, customer analytics, operational analytics, or related analytical roles.
  • Strong experience developing predictive models and performing advanced data analysis in business environments.
  • Advanced proficiency in SQL and experience with Python or similar analytics/programming languages.
  • Experience with Power BI, Tableau, or similar business intelligence and visualization tools.
  • Experience working with large, complex operational and customer datasets.
  • Strong analytical, problem-solving, and critical-thinking capabilities.
  • Excellent communication and presentation skills with the ability to explain technical concepts to business stakeholders.
  • Ability to operate independently and manage multiple priorities in a fast-paced environment.
  • Education And/Or Experience : BSEE, MSEE, BSCS, or MSCS
Nice to have / Preferred Skills:
  • Experience in SaaS, retail technology, video analytics, loss prevention, IoT, subscription-based services, or service-oriented organizations.
  • Familiarity with machine learning, AI-driven analytics, and operational optimization techniques.
  • Experience with cloud-based data platforms such as Azure, AWS, or Google Cloud.
  • Experience supporting executive-level operational reporting and KPI development.
The Offer
  • Attractive total compensation package between 130-160k
  • Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options
  • 401(k) Plan with employer match
  • Generous paid time off policy
  • Observance of 11 paid company holidays

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