Required : • A minimum of five years of technical data science experience; U.S. Federal ... Google Data Engineering, Azure AI Engineer Associate, etc.) • Experience building AI pipelines ...
Required : • A minimum of five years of technical data science experience; U.S. Federal ... Google Data Engineering, Azure AI Engineer Associate, etc.) • Experience building AI pipelines ...
Build / manage production-ready data science product lifecycles, continuous delivery and automation ... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ...
Build / manage production-ready data science product lifecycles, continuous delivery and automation ... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ...
A minimum of three years of technical data science experience; U.S. Federal government consulting ... Google Data Engineering, Azure AI Engineering Associate, etc.) is a plus * Ability to travel as ...
A minimum of three years of technical data science experience; U.S. Federal government consulting ... Google Data Engineering, Azure AI Engineering Associate, etc.) is a plus * Ability to travel as ...
NLM Data Scientist
Bethesda, MD · Hybrid
... Google Analytics * Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science ...
NLM Data Scientist
Bethesda, MD · Hybrid
... Google Analytics * Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science ...
NLM Data Scientist
Bethesda, MD · On-site
... Google Analytics * Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science ...
Quick apply
NLM Data Scientist
Bethesda, MD · On-site
... Google Analytics * Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science ...
NLM Data Scientist
Bethesda, MD · On-site
$125 - $150/hr
... Google Analytics * Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science ...
NLM Data Scientist
Bethesda, MD · On-site
$125 - $150/hr
... Google Analytics * Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science ...
NLM Data Scientist
Bethesda, MD · On-site
$100K - $115K/yr
... Google Analytics * Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science ...
NLM Data Scientist
Bethesda, MD · On-site
$100K - $115K/yr
... Google Analytics * Experience with programming languages such as Python, R, or SAS * Knowledge of machine learning and deep learning algorithms Preferred Qualifications: * Ph.D. in data science ...
Senior Data Scientist
Chantilly, VA · On-site
$130K - $160K/yr
... or Google Charts * Understanding of relevant statistical measures, development and evaluation of data sets. * Salary Range: $130,000 - $160,000/Year, DOE Skills Required The Senior Data Science ...
Senior Data Scientist
Chantilly, VA · On-site
$130K - $160K/yr
... or Google Charts * Understanding of relevant statistical measures, development and evaluation of data sets. * Salary Range: $130,000 - $160,000/Year, DOE Skills Required The Senior Data Science ...
Associate Principal Data Scientist
Bethesda, MD · On-site
$150 - $200/hr
Lead and oversee data science initiatives involving large and complex datasets to support business ... Big Data & Cloud: 3 months of experience with big data technologies Hadoop, Spark, Google Cloud ...
Associate Principal Data Scientist
Bethesda, MD · On-site
$150 - $200/hr
Lead and oversee data science initiatives involving large and complex datasets to support business ... Big Data & Cloud: 3 months of experience with big data technologies Hadoop, Spark, Google Cloud ...
AI & ML Engineer
Arlington, VA · On-site
$128K - $292K/yr
Master's degree in Data Science, Computer Science, or ML Engineering * AWS, Google, Data Analytics, Machine Learning Engineer, or Solutions Architect Certifications * ML Engineering, Cloud ...
AI & ML Engineer
Arlington, VA · On-site
$128K - $292K/yr
Master's degree in Data Science, Computer Science, or ML Engineering * AWS, Google, Data Analytics, Machine Learning Engineer, or Solutions Architect Certifications * ML Engineering, Cloud ...
As a thought leader, you will drive innovation, shape data science strategy, and influence the ... Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g ...
As a thought leader, you will drive innovation, shape data science strategy, and influence the ... Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g ...
Data Engineer : Hybrid Role
Washington, DC · On-site
$129K - $155K/yr
... Google Cloud Platform. Support the design, development, and maintenance of RDBMS, data warehouse and data pipeline solutions. Must-Have Qualifications * Bachelor's degree in Computer Science or ...
Quick apply
Data Engineer : Hybrid Role
Washington, DC · On-site
$129K - $155K/yr
... Google Cloud Platform. Support the design, development, and maintenance of RDBMS, data warehouse and data pipeline solutions. Must-Have Qualifications * Bachelor's degree in Computer Science or ...
As a thought leader, you will drive innovation, shape data science strategy, and influence the ... Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g ...
As a thought leader, you will drive innovation, shape data science strategy, and influence the ... Strong knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g ...
Databricks Data Scientist
Washington, DC · On-site
Experience with cloud services, including AWS, Azure, or Google Cloud * Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models
Quick apply
Databricks Data Scientist
Washington, DC · On-site
Experience with cloud services, including AWS, Azure, or Google Cloud * Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models
Senior Data Scientist with Security Clearance
Chantilly, VA · On-site
$130K - $160K/yr
... or Google Charts * Understanding of relevant statistical measures, development and evaluation of data sets. * Salary Range: $130,000 - $160,000/Year, DOE Skills Required The Senior Data Science ...
Senior Data Scientist with Security Clearance
Chantilly, VA · On-site
$130K - $160K/yr
... or Google Charts * Understanding of relevant statistical measures, development and evaluation of data sets. * Salary Range: $130,000 - $160,000/Year, DOE Skills Required The Senior Data Science ...
Data Analyst
Linthicum Heights, MD · On-site
Knowledge of Data Science Concepts Knowledge and/or experience with Machine Learning Algorithms and Analysis. Knowledge and/or experience with Data Visualization and tools (Tableau, Google Data ...
Data Analyst
Linthicum Heights, MD · On-site
Knowledge of Data Science Concepts Knowledge and/or experience with Machine Learning Algorithms and Analysis. Knowledge and/or experience with Data Visualization and tools (Tableau, Google Data ...
Data Scientist
Mclean, VA · On-site
$125K - $160K/yr
Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...
Data Scientist
Mclean, VA · On-site
$125K - $160K/yr
Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...
Data Scientist
Mclean, VA · On-site
$125K - $160K/yr
Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...
Data Scientist
Mclean, VA · On-site
$125K - $160K/yr
Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...
Senior Data Scientist
Vienna, VA · On-site
Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...
Senior Data Scientist
Vienna, VA · On-site
Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...
Senior Data Scientist
Vienna, VA · On-site
$160K - $180K/yr
Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...
Quick apply
Senior Data Scientist
Vienna, VA · On-site
$160K - $180K/yr
Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...
Google Data Science information
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 job categories do people searching Google Data Science jobs in Silver Spring, MD look for?
The top searched job categories for Google Data Science jobs in Silver Spring, MD are:
Lead Specialist, Federal Data Science
Mclean, VA • On-site
KPMG US
Full-time
Re-posted 22 days ago
Job description
Job Summary:
KPMG is a leading advisory firm that offers excellent opportunities for career advancement. They are currently seeking a Lead Specialist to join their Federal Advisory practice, where the role involves leading teams to design and develop machine learning and data science solutions for clients.
Responsibilities:
• Lead multi-disciplinary / cross-functional teams to identify business opportunities, design / develop machine learning, and data science solutions
• Utilize processes / best practices to plan, lead, and execute delivery of artificial intelligence engagements
• Work with clients to understand business requirements, design solutions utilizing data analytics solutions, and work with data engineers to develop / utilize ETL process to ingest structured / unstructured data
• Leverage a variety of data sources such as social media, internal / external documents, images, video, financial data, and operational data to develop cutting-edge data-driven products
• Design / perform explanatory data analysis, develop, manage, and execute data analytics experimentations
• Build / manage production-ready data science product lifecycles, continuous delivery and automation pipelines (MLOps), orchestration / model management in cloud environment; cluster large amount of user generated content / process data in large-scale environments using Amazon EC2, STorm, Hadoop, Spark, etc.
• Design / develop dashboards, UI and interactive tools to support clients to turn their data into actionable insights / reproducible reports
Qualifications:
Required:
• A minimum of five years of technical data science experience; U.S. Federal government consulting experience preferred
• Bachelor's degree from an accredited college/university
• Experience applying artificial intelligence techniques to achieve business goals
• Proficiency with analytics tools and programming languages such as Python, R, Java, Scala, Spark, Hadoop, Alteryx, SQL; data visualization tools such as Tableau / QlikView
• Experience developing Deep Learning models (e.g. - CNN, Recurrent, etc.) and their applications (object detection, text recognition, language modeling etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.)
• Experience leveraging cloud services or Cloud Certification (e.g. - AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate, etc.)
• Experience building AI pipelines, ML development lifecycles, MLOps and containerization (such as Docker, Kubernetes, MLflow, Kubeflow, TFX, etc.)
• Ability to travel as required to support firm engagements
• Applicant must possess a U.S. Government Secret clearance
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.
KPMG is a leading advisory firm that offers excellent opportunities for career advancement. They are currently seeking a Lead Specialist to join their Federal Advisory practice, where the role involves leading teams to design and develop machine learning and data science solutions for clients.
Responsibilities:
• Lead multi-disciplinary / cross-functional teams to identify business opportunities, design / develop machine learning, and data science solutions
• Utilize processes / best practices to plan, lead, and execute delivery of artificial intelligence engagements
• Work with clients to understand business requirements, design solutions utilizing data analytics solutions, and work with data engineers to develop / utilize ETL process to ingest structured / unstructured data
• Leverage a variety of data sources such as social media, internal / external documents, images, video, financial data, and operational data to develop cutting-edge data-driven products
• Design / perform explanatory data analysis, develop, manage, and execute data analytics experimentations
• Build / manage production-ready data science product lifecycles, continuous delivery and automation pipelines (MLOps), orchestration / model management in cloud environment; cluster large amount of user generated content / process data in large-scale environments using Amazon EC2, STorm, Hadoop, Spark, etc.
• Design / develop dashboards, UI and interactive tools to support clients to turn their data into actionable insights / reproducible reports
Qualifications:
Required:
• A minimum of five years of technical data science experience; U.S. Federal government consulting experience preferred
• Bachelor's degree from an accredited college/university
• Experience applying artificial intelligence techniques to achieve business goals
• Proficiency with analytics tools and programming languages such as Python, R, Java, Scala, Spark, Hadoop, Alteryx, SQL; data visualization tools such as Tableau / QlikView
• Experience developing Deep Learning models (e.g. - CNN, Recurrent, etc.) and their applications (object detection, text recognition, language modeling etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.)
• Experience leveraging cloud services or Cloud Certification (e.g. - AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate, etc.)
• Experience building AI pipelines, ML development lifecycles, MLOps and containerization (such as Docker, Kubernetes, MLflow, Kubeflow, TFX, etc.)
• Ability to travel as required to support firm engagements
• Applicant must possess a U.S. Government Secret clearance
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.