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Google Data Science Jobs in Philadelphia, PA (NOW HIRING)

Honeywell

Advanced Data Scientist

Hamilton, NJ · On-site

This role combines deep data science expertise with significant Salesforce platform experience ... Knowledge of cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform.

New

Honeywell

Advanced Data Scientist

Hamilton, NJ · On-site

This role combines deep data science expertise with significant Salesforce platform experience ... Knowledge of cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform.

New

Honeywell

Advanced Data Scientist

Hamilton, NJ · On-site

This role combines deep data science expertise with significant Salesforce platform experience ... Knowledge of cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform.

Lincoln Financial

Lead Data Scientist

Radnor, PA · On-site

$120K/yr

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field ... Google Vertex AI). * Advanced degree (Master's or Ph.D.) in a quantitative field. * Domain ...

Lincoln Financial

Lead Data Scientist

Radnor, PA · On-site +1

$120K/yr

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field ... Google Vertex AI). * Advanced degree (Master's or Ph.D.) in a quantitative field. * Domain ...

Bridgetown Consulting Group Inc

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

This role will collaborate closely with business stakeholders, analysts, data scientists, and data ... Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform . * Experience with ...

New

Audacy, Inc.

Senior Data Engineer

Philadelphia, PA

$107K - $145K/yr

Collaborate with business analysts, data scientists, and stakeholders to understand complex data ... BigQuery or Snowflake), and Google Data tools (DataFlow, DataForm, Pub/Sub, GCS). * 3+ years of ...

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All JobsGoogle Data Science JobsGoogle Data Science Jobs in Philadelphia, PA

Google Data Science information

See Philadelphia, PA salary details

$24.7K

$116.7K

$201.8K

How much do google data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for google data science in Philadelphia, PA is $116,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,481.00 and $146,446.00 per year, depending on experience, location, and employer.

What is a Google data science?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google data science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

What are popular job titles related to Google Data Science jobs in Philadelphia, PA?

For Google Data Science jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Philadelphia, PA look for?

The top searched job categories for Google Data Science jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Google Data Science jobs?

Cities near Philadelphia, PA with the most Google Data Science job openings:

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $116,688 per year, or $56.1 per hour.

Senior Director of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Re-posted 29 days ago

Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
Our Data & Analytics organisation builds the products, platforms and intelligence that power every marketing, product and commercial decision across the business. We're looking for a Data Science leader who believes machine learning only creates value when it changes business decisions.
This is an opportunity to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term business growth.
You'll lead a growing team of Data Scientists while partnering closely with Engineering, Analytics, Product and Commercial teams to ensure predictive models become trusted, production-ready products that drive measurable commercial outcomes. As we continue investing in first-party data, AI, machine learning and advanced marketing measurement, we're looking for an experienced Data Science leader to help shape the next phase of our commercial Data Science capability.
Responsibilties:
  • Commercial Data Science: Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. You'll shape capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting and value-based bidding, ensuring every model is linked to measurable business outcomes.
  • Marketing Science & Decision Science: Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. You'll help define how predictive analytics, experimentation and AI improve campaign performance, customer understanding and strategic decision making across platforms including Google and Meta.
  • Production Data Science: Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products rather than one-off analyses. You'll champion reproducible experimentation, scalable deployment, model monitoring, retraining strategies and continuous improvement throughout the model lifecycle.
  • Leadership & Stakeholder Management: Lead and develop a growing team of Data Scientists while building trusted relationships across the business. You'll translate complex modelling into clear commercial recommendations, influence senior stakeholders through evidence, and help establish Data Science as a trusted driver of business strategy and commercial growth.
  • Innovation & Industry Leadership: Represent Forbes in strategic conversations with technology partners including Google and Meta while staying connected to advances in AI, machine learning and marketing science. You'll evaluate emerging technologies, bring new ideas into the organisation and help ensure our Data Science capability remains commercially relevant and technically leading.

Qualifications:
  • Experience leading commercial Data Science, Marketing Science or Decision Science teams.
  • Strong expertise in predictive analytics, customer analytics, machine learning and statistical modelling.
  • Experience applying Data Science to marketing performance, customer acquisition, lifetime value or value-based bidding.
  • Experience productionising machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams.
  • Strong understanding of SQL, Python and modern machine learning frameworks.
  • Experience working with Google Ads, Meta or other major advertising platforms.
  • Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences.
  • Experience building and developing high-performing Data Science teams.
  • Strong commercial judgement, balancing technical excellence with measurable business impact.
  • A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value.

Nice to Have
  • Experience within affiliate marketing, digital publishing or lead-generation businesses.
  • Experience working in financial services, insurance or regulated industries.
  • Experience working directly with Google or Meta Data Science teams.
  • Experience with attribution modelling and marketing measurement.
  • Experience building optimisation algorithms for DSPs or advertising platforms.
  • Experience with causal inference, experimentation frameworks or incrementality testing.
  • Experience forecasting marketing or commercial performance.
  • Experience with Vertex AI or equivalent cloud-based machine learning platforms.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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