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Google Data Science Jobs in Alabama (NOW HIRING)

Required : • Bachelor's degree in Business, Economics, Data Science, or a related field (Data ... Google Data Studio) • Strong analytical and problem-solving skills with the ability to ...

Required : • Bachelor's degree in Business, Economics, Data Science, or a related field (Data ... Google Data Studio). • Strong analytical and problem-solving skills with the ability to ...

Required : • Bachelor's degree in Business, Economics, Data Science, or a related field (Data ... Google Data Studio). • Strong analytical and problem-solving skills with the ability to ...

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 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 ...

Senior SEM Specialist

Birmingham, AL

$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

$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

Birmingham, AL

$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 ...

... 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

Mobile, AL

$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

$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

$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 ...

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Google Data Science information

Can a Data Scientist work in Google?

Yes, Data Scientists can work at Google, where they analyze large datasets, develop machine learning models, and use tools like Python and TensorFlow. Google typically requires relevant experience, strong analytical skills, and a background in computer science or related fields for data science roles.

How much do data scientists make at Google?

Data scientists at Google typically earn a median salary ranging from $120,000 to $160,000 per year, depending on experience, location, and level. Total compensation often includes bonuses, stock options, and other benefits, reflecting the company's competitive pay structure for technical roles requiring skills in machine learning, programming, and data analysis.

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.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, and many professionals successfully transition into the field at age 40 or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, and building a strong portfolio. Employers value experience and problem-solving ability, making it possible to start a data science career at any age with dedication.

What is a Google Data Science job?

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 job categories do people searching Google Data Science jobs in Alabama look for? The top searched job categories for Google Data Science jobs in Alabama are:
Infographic showing various Google Data Science job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
Network Data Analyst

Network Data Analyst

LG Electronics

Huntsville, AL • On-site

Full-time

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


LG Electronics rating

7.1

Company rating: 7.1 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

113th of 156 rated electronics manufacturers


Job description

Job Summary:
LG Electronics is a global leader in technology dedicated to creating innovative solutions for a better life. The Network Data Analyst will manage and optimize data from LG Field Service systems, focusing on building automated data structures and visualizing performance through dashboards.
Responsibilities:
• Design, build, and maintain automated dashboards and performance trackers to support business visibility.
• Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to develop impactful data visualizations.
• Prepare accurate operational reports and forecasts using BI platforms and ERP systems to help drive performance against goals.
• Streamline and automate planning processes in partnership with analytics teams, leveraging key insights to support continuous improvement.
• Gather, consolidate, and analyze data from multiple sources, transforming it into clear, actionable insights for leadership.
• Support the development and execution of strategies to optimize LG’s preferred network coverage.
• Perform detailed analyses of current processes, systems, and data flows to identify inefficiencies and recommend enhancements.
• Partner with cross-functional stakeholders to design and implement data-driven solutions.
• Develop geographic and territory map visualizations in Tableau to analyze network coverage.
Qualifications:
Required:
• Bachelor’s degree in Business, Economics, Data Science, or a related field (Data Analytics, Business Analytics, Computer Science, etc.)
• Advanced proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, etc.) is required
• Experience with business intelligence tools and dashboard development (e.g., Tableau, Google Data Studio)
• Strong analytical and problem-solving skills with the ability to collaborate effectively across cross-functional teams
• Travel requirement: Typically less than 10%
Preferred:
• Bilingual proficiency in both Korean and English
• Experience using SQL for data querying
• Experience with programming languages such as Python
• Familiarity with cloud platforms, specifically Google Cloud Platform (GCP)
Company:
LG Electronics manufactures a wide range of products including televisions, smartphones, and home appliances. Founded in 1958, the company is headquartered in Seoul, KOR, with a team of 10001+ employees. The company is currently Late Stage.

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