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Google Data Science Jobs in Alabama (NOW HIRING)

Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to ... Bachelor's degree in Business, Economics, Data Science, or a related field (Data Analytics ...

Network Data Analyst

Huntsville, AL · On-site

$55K - $73K/yr

Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to ... Bachelor's degree in Business, Economics, Data Science, or a related field (Data Analytics ...

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 ...

New

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

Support existing data science and modeling teams by aligning platform capabilities to business and ... Google Cloud Platform cloud services and infrastructure architecture * 8+ years of experience in ...

... 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 ...

New

Support data science and model teams with platform needs, environment enablement, and deployment ... or Google Cloud Platform, including integrations * Experience with Databricks MLOps or ...

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Google Data Science information

Can data scientists make $300k?

Data scientists, including those working at Google, can earn $300,000 or more annually, especially with senior roles, extensive experience, advanced skills in machine learning and big data tools, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which contribute to total earnings at this level.

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 tools being highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success in data science depends on skills, experience, and continuous learning of tools like Python, R, and SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities with relevant certifications and a strong portfolio.

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 is the average salary for a Data Scientist at Google?

The average salary for a Data Scientist at Google is approximately $120,000 to $150,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and data analysis can earn higher compensation, often including bonuses and stock options.
What are popular job titles related to Google Data Science jobs in Alabama? For Google Data Science jobs in Alabama, the most frequently searched job titles are:
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 June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Network Data Analyst

Network Data Analyst

LG Electronics

Huntsville, AL • On-site

Other

Posted 24 days ago


LG Electronics rating

7.5

Company rating: 7.5 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

72nd of 139 rated electronics manufacturers


Job description

What we can offer: 

A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. 

 We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill-and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! 

 The Opportunity:

The Network Data Analyst will act as the primary point of contact for managing and optimizing data from LG Field Service systems. This role focuses on building and automating data structures to improve field operations and enhance territory mapping analysis.

A key responsibility is visualizing Field Service performance through dynamic dashboards and automated reporting. The analyst will partner closely with cross-functional teams to develop, calculate, and analyze Field Service KPIs, identify trends and improvement opportunities, and deliver clear, actionable insights to leadership.

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.

Education / Experience (Requirements):

  • 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 Qualifications:

  • 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).

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