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Contract Google Data Science Jobs (NOW HIRING)

A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis. * Proficiency in Python or R for ...

A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis. * Proficiency in Python or R for ...

A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis. * Proficiency in Python or R for ...

Google Data Engineering

Atlanta, GA

$110.10K - $132.20K/yr

... and data science workloads. - Strong SQL, Python/Java, CI/CD (GitHub/Jenkins), and cloud-native engineering experience required; retail domain exposure is a plus. Diverse Lynx LLC is an Equal ...

Bachelors degree in Data Science, Statistics, Computer Science, Business Analytics, or a related ... Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio.

Position- Data Science Duration-Contract Location- Cupertino, CA JD * Data Scientist with strong Statistical Fundamentals learning Python with Pandas and NumPy Experience Strong Visualization

Staff Data Scientist

$180K - $220K/yr

Requirements * 7+ years of experience in a data science or machine learning role * Experience with at least one dashboarding tool, such as: Tableau, Power BI, Looker, Google Data Studio, Streamlit ...

Proven experience with data visualization tools such as Tableau, Power BI, or Google Data Studio ... Bachelor's degree in Statistics, Data Science, Computer Science, Business Analytics, or a related ...

... google, Paypal, western union, bankofamerica, visa, etc to name a few. We have an excellent ... data analysts/data scientists. Who Should Apply: * Recent IT graduates looking to make their ...

Data Science Job Location: Los Angeles, CA 90025 Contract: 12 Months Must Have Skills (Top 3 technical skills only) * Natural language processing * Machine Learning * Python Nice to have skills (Top ...

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Contract Google Data Science information

What are the key skills and qualifications needed to thrive as a Contract Google Data Scientist, and why are they important?

To thrive as a Contract Google Data Scientist, you need strong expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with Python, SQL, data visualization tools (like Tableau), and Google Cloud Platform is essential, and certifications in data science or cloud technologies can be advantageous. Strong problem-solving skills, effective communication, and adaptability help you translate complex data insights into actionable business strategies. These skills and qualities ensure you can deliver high-impact, data-driven solutions in a dynamic, project-based environment.

What are some common challenges faced by contract data scientists working with Google technologies, and how can they be addressed?

Contract Google Data Science professionals often face challenges such as rapidly adapting to new project domains, integrating with existing teams, and mastering proprietary Google tools and workflows. To address these, it's important to proactively communicate with team members, leverage Google's extensive documentation and training resources, and stay organized with clear project milestones. Building strong collaborations and seeking feedback regularly can also help contract data scientists quickly align with the team's goals and deliver impactful results.

What are Contract Google Data Science jobs?

Contract Google Data Science jobs refer to temporary positions where professionals are hired on a contractual basis to work on data science projects at Google. These roles typically involve analyzing large datasets, building predictive models, and generating insights to support decision-making within Google’s business units. Contractors may work on short- or long-term projects, often collaborating with full-time employees. The nature of contract positions means that benefits and job security may differ from permanent roles, but they offer valuable experience and exposure to cutting-edge technologies.

What is the difference between Contract Google Data Science vs Contract Data Analyst?

AspectContract Google Data ScienceContract Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related field; experience with machine learning and programming languages like Python or RBachelor's in Statistics, Data Analysis, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentProject-based, often in tech or digital companies, with focus on predictive modeling and data-driven solutionsBusiness or marketing environments, focusing on reporting, data cleaning, and descriptive analysis
Employer & Industry UsageTech giants, consulting firms, and startups hiring for data science projectsRetail, finance, healthcare, and other industries requiring data reporting and insights

Contract Google Data Science roles typically involve advanced analytics, machine learning, and programming, whereas Contract Data Analyst positions focus on data reporting, cleaning, and visualization. Both roles require strong analytical skills but differ in technical complexity and project scope.

More about Contract Google Data Science jobs
What cities are hiring for Contract Google Data Science jobs? Cities with the most Contract Google Data Science job openings:
What are the most commonly searched types of Google Data Science jobs? The most popular types of Google Data Science jobs are:
What states have the most Contract Google Data Science jobs? States with the most job openings for Contract Google Data Science jobs include:
Infographic showing various Contract Google Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 27% Full Time, 39% Part Time, 1% Temporary, 31% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.
Network Data Analyst

Other

Posted 18 hours ago


LG Electronics rating

7.5

Company rating: 7.5 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

74th of 138 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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