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Google Data Science Jobs in Alabama (NOW HIRING)

... Science/Information Systems, Engineering - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft ...

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Analytics & Data Science Skills: * Data Quality Standards & Metrics: Define and enforce data ... Google) vTech Solution Inc. is a Managed IT Services firm headquartered in Washington, DC. They ...

DATA SCIENTIST ASSOCIATE

Birmingham, AL · On-site

$77K - $126K/yr

Data Scientist Associate University of Alabama at Birmingham The position leads the administration ... REDCap or abstracted equivalents (Google Forms) * Understanding of PHI handling, deidentification ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

Required : • Requires a bachelor's degree in Computer Science, Information Systems, Data ... Azure, AWS, or Google Cloud. • Strong knowledge of data engineering principles, including ...

... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Senior SEM Specialist

Birmingham, AL · On-site

$73K - $90K/yr

Partner with Analytics, Data Science, Creative, UX, Web, and Marketing teams to improve campaign ... Deep expertise across Google Search, Shopping, Performance Max, Demand Gen, YouTube, and Microsoft ...

Senior SEM Specialist

Montgomery, AL · On-site

$77K - $95K/yr

Partner with Analytics, Data Science, Creative, UX, Web, and Marketing teams to improve campaign ... Deep expertise across Google Search, Shopping, Performance Max, Demand Gen, YouTube, and Microsoft ...

Senior SEM Specialist

Mobile, AL · On-site

$77K - $95K/yr

Partner with Analytics, Data Science, Creative, UX, Web, and Marketing teams to improve campaign ... Deep expertise across Google Search, Shopping, Performance Max, Demand Gen, YouTube, and Microsoft ...

Senior SEM Specialist

Montgomery, AL · On-site

$77K - $95K/yr

Partner with Analytics, Data Science, Creative, UX, Web, and Marketing teams to improve campaign ... Deep expertise across Google Search, Shopping, Performance Max, Demand Gen, YouTube, and Microsoft ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

EDUCATION & EXPERIENCE • Requires a bachelor's degree in Computer Science, Information Systems ... Azure, AWS, or Google Cloud. • Strong knowledge of data engineering principles, including ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience working with cloud platforms (Azure, AWS, Google cloud services) and modern enterprise ...

Senior Palantir Foundry Engineer

Huntsville, AL · On-site

$103K - $141K/yr

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience working with cloud platforms (Azure, AWS, Google cloud services) and modern enterprise ...

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Google Data Science information

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 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.

Infographic showing various Google Data Science job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AI & GenAI Data Scientist-Director

Pwc

Birmingham, AL • On-site

$155K - $410K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Director

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist-Director, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will inspire others by translating vision into action, shaping client engagements, and mentoring future leaders.
In this role, you will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to success. You will create a healthy working environment, maximizing client satisfaction and cultivating potential in others. By actively collaborating across the PwC Network, you will leverage collective strengths to identify market gaps and convert opportunities into success for the firm. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.
Responsibilities
- Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights
- Overseeing the implementation of data infrastructure and integration to support scalable AI systems
- Driving business growth by identifying market opportunities and converting them into successful client engagements
- Mentoring and guiding teams in the application of advanced data analytics and AI techniques
- Promoting technological advancements and fostering an environment where people and technology thrive together
- Collaborating with executive-level clients to shape strategic directions and deliver impactful solutions
- Utilizing programming languages such as Python and C++ to develop and deploy AI models
- Managing complex data analysis and confirming data quality and integrity within analytics frameworks
- Encouraging creativity and innovation in problem-solving and solution development
- Building and maintaining relationships with stakeholders to enhance client satisfaction and project success
What You Must Have
- At least a Bachelor's degree
- At least 12 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing Python and C++ for complex data analysis and modeling
- Leading AI-driven automation projects with strategic mindset and innovation
- Promoting technological advances in data infrastructure and integration
- Cultivating potential in others through coaching and feedback

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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