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Temporary Google Data Science Jobs in Illinois (NOW HIRING)

Lead the development and implementation of advanced data science models. Develop cutting edge ... Hands on experience with tools like Big query, Google Cloud Platform, Jupyter notebook for to ...

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or ... Experience with GA4, Google Tag Manager & Optimizely. Soft Skills : Excellent problem-solving and ...

New

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or ... Experience with GA4, Google Tag Manager & Optimizely. Soft Skills : Excellent problem-solving and ...

New

Lead the development and implementation of advanced data science models. Extract, analyze, and ... Google BigQuery. (1 year) (5) Experience in data visualizations and reporting similar to Tableau ...

... with Google Cloud's Vertex Platform. * Experience with SQL, NoSQL, Python, Java, or data modeling techniques. Preferred qualifications: * Master's degree in Computer Science, related engineering ...

Posted today

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

... scienceData visualization • Understanding of the healthcare industry • Azure, Google, AWS or other cloud-platform experience • SDLC Tools & Processes: JIRA, Docker, Git-flow, Puppet, or ...

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

... AWS, Google Cloud Platform, Azure, and approved ecosystems. * Collaborate with Product, Data Science, Security, Privacy, and Platform Engineering to deliver privacy-preserving attribution ...

Showing results 21-40

Temporary Google Data Science information

What is a temporary Google data scientist?

Temporary Google data science jobs are short-term positions at Google where professionals work on data-driven projects, such as analyzing large datasets, building predictive models, and providing actionable insights. These roles often last from a few months up to a year and can be part of contract work, internships, or project-based assignments. Temporary data scientists at Google collaborate with teams across the company to solve complex problems, improve products, and support decision-making. These positions usually require strong analytical skills, experience with programming languages like Python or R, and familiarity with machine learning techniques.

What are some typical challenges faced by data scientists in temporary roles at Google?

Temporary data scientists at Google often face the challenge of quickly onboarding to new projects and adapting to the company's fast-paced environment. Since assignments are time-bound, there’s a need to rapidly understand existing data infrastructure, collaborate with diverse teams, and deliver actionable insights within tight deadlines. Additionally, building rapport with permanent staff and accessing proprietary data or tools can require extra initiative. However, these challenges provide valuable exposure to Google’s cutting-edge practices and can significantly enhance your professional network and skill set.

What are the key skills and qualifications needed to thrive as a temporary Google data scientist, and why are they important?

To thrive as a Temporary Google Data Scientist, you need strong analytical skills, expertise in statistics, and a solid foundation in programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks, big data tools like SQL and TensorFlow, and experience with data visualization platforms such as Tableau are highly valuable. Strong problem-solving abilities, adaptability, and effective communication skills are crucial for collaborating on fast-paced projects and presenting findings to diverse stakeholders. These competencies enable data-driven decision-making and ensure impactful contributions within a dynamic, innovative environment.

What are the most commonly searched types of Google Data Science jobs in Illinois?

The most popular types of Google Data Science jobs in Illinois are:

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For Temporary Google Data Science jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Temporary Google Data Science jobs in Illinois look for?

The top searched job categories for Temporary Google Data Science jobs in Illinois are:

What cities in Illinois are hiring for Temporary Google Data Science jobs?

Cities in Illinois with the most Temporary Google Data Science job openings:

Staff Data Scientist

PayPal, Inc.

Chicago, IL • On-site

Full-time

Medical, PTO

Re-posted 4 days ago


PayPal rating

6.9

Company rating: 6.9 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

18th of 21 rated payment service providers


Job description

The Company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities.
Job Summary:
Job Description:
PayPal, Inc. seeks Staff Data Scientist in Chicago, IL
Job Duties: Lead the development and implementation of advanced data science models. Develop cutting edge, scalable and safe products to enhance the experience for PayPal's global customers. Automate manual processes and introduce AI solutions to replace manual work and reduce dependency on human resources. Maintain and enhance data-driven authentication risk strategies to support PayPal's global financial business goals. Identify new and emerging fraud trends and partner with key stakeholders to effectively mitigate those. Partner with ML (Machine Learning) modelers to develop and validate new risk detection models and adopt those into the decision layer. Establish and measure performance against KPIs (Key Performance Indicators) and goals. Serve as subject matter expert in communication with legal and compliance partners. Partial telecommuting permitted from within a commutable distance.
Minimum Requirements: Master's degree, or foreign equivalent, in Economics, Finance, Computer Science, Statistics, Business Analytics, or Engineering with a Data Science specialization, or a closely related field plus five years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree, or foreign equivalent, in Economics, Finance, Computer Science, Statistics, Business Analytics, or Engineering with a Data Science specialization or a closely related field plus eight years of experience in the job offered or a related occupation.
Special Skill Requirements:
1. Data Analytics using SQL: Experience analyzing and interpreting complex datasets to extract actionable insights and support business decision-making, proficient in writing and optimizing complex SQL queries (5 years)
2. Dashboarding and Visualization (Tableau/Power BI): Experience building comprehensive reporting modules and visualizations to monitor KPIs, identify behaviour trends and create alerts for anomalies to support leadership in strategic decision-making (5 years)
3. Big data tools and cloud platforms: Hands on experience with tools like Big query, Google Cloud Platform, Jupyter notebook for to create reproducible and scalable analysis (5 years)
4. A/B testing and statistical experimentation: Proficient in designing and executing experiments, hypothesis testing, KPI measurement and scenario validation to support business decisions (3 years)
5. Python programming for data analysis: Strong practical coding experience using Python for large-scale data processing and statistical analysis in enterprise environments (5 years)
6. Machine learning: Experience with interpreting and assessing machine learning models (classification, regression, feature engineering) to understand model accuracy and alignment with business goals (5 years)
7. Behavioral data analysis: Expertise extracting and analyzing customer behavior signals to identify patterns and generate predictive indicators (2 years)
8. Automation and scripting: Practical experience designing and automating workflows, reports and dashboards using python and enterprise tools (5 years)
9. Statistical analysis: Experience in regression methods, segmentation analysis and exploratory analysis (5 years)
10. Unstructured data processing: Experience processing unstructured text data, extracting keywords and sentiment by applying natural language processing and Gen AI techniques (2 years)
Additional Responsibilities & Preferred Qualifications:
EOE, including disability/vets.
The base pay for this role will depend on where you work and the relevant experience and expertise you bring. The expected range of pay for this role by location is:
Primary Location | Pay Range:
Chicago, IL | Salary: $160,500.00-$273,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. For benefits summary please visit: https://www.paypalbenefits.com.
Additional compensation for this role may include an annual performance bonus, equity, or other incentive compensation, as applicable.
Must be legally authorized to work in the U.S. without sponsorship.
Subsidiary:
PayPal
Travel Percent:
0
PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we're committed to building an equitable and inclusive global economy. And we can't do this without our most important asset-you. That's why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing-physical, emotional, and financial-delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
Who We Are:
Click Here to learn more about our culture and community.
Commitment to Diversity and Inclusion
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

What PayPal employees say

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Benefits

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Workplace

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PayPal logo

About PayPal

Sourced by ZipRecruiter

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1998

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