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 ...
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 ...
Certifications in data science or machine learning (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer) Why Join INTECON? At INTECON, we are at the forefront of defense, security ...
Certifications in data science or machine learning (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer) Why Join INTECON? At INTECON, we are at the forefront of defense, security ...
Certifications in data science or machine learning (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer) Why Join INTECON? At INTECON, we are at the forefront of defense, security ...
Certifications in data science or machine learning (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer) Why Join INTECON? At INTECON, we are at the forefront of defense, security ...
Certifications in data science or machine learning (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer) Why Join INTECON? At INTECON, we are at the forefront of defense, security ...
Quick apply
Certifications in data science or machine learning (e.g., AWS Machine Learning Specialty, Google Professional ML Engineer) Why Join INTECON? At INTECON, we are at the forefront of defense, security ...
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 ...
Experience and Education Bachelor's degree in a quantitative field such as Computer Science ... Power BI Data Analyst Associate Google Data Analytics Professional Certificate Certified Analytics ...
Experience and Education Bachelor's degree in a quantitative field such as Computer Science ... Power BI Data Analyst Associate Google Data Analytics Professional Certificate Certified Analytics ...
Associate Director, Media Data Science
Washington, DC · On-site +1
$66K - $67K/yr
Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic ... About You * 6+ years of experience in data science, advanced analytics, media measurement, or ...
Associate Director, Media Data Science
Washington, DC · On-site +1
$66K - $67K/yr
Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic ... About You * 6+ years of experience in data science, advanced analytics, media measurement, or ...
Battleground Alliance -- Data Director
Washington, DC · Remote
$90K - $135K/yr
Bachelor's degree in data science, political science, statistics, mathematics, computer science, or ... Experience with Google Workspace (Sheets, Docs, Drive) and collaborative data management
Quick apply
Battleground Alliance -- Data Director
Washington, DC · Remote
$90K - $135K/yr
Bachelor's degree in data science, political science, statistics, mathematics, computer science, or ... Experience with Google Workspace (Sheets, Docs, Drive) and collaborative data management
Data Analyst
Mclean, VA · On-site
Experience and Education Bachelor's degree in a quantitative field such as Computer Science ... Power BI Data Analyst Associate • Google Data Analytics Professional Certificate • Certified ...
Data Analyst
Mclean, VA · On-site
Experience and Education Bachelor's degree in a quantitative field such as Computer Science ... Power BI Data Analyst Associate • Google Data Analytics Professional Certificate • Certified ...
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 ...
SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL ... Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI ...
SynergisticIT is seeking candidates interested in junior data science roles involving Python, SQL ... Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI ...
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 ...
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
Data Scientist
$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
$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 - Crystal City (DC Area)
$76K - $142K/yr
Familiarity with cloud platforms including Azure, AWS, and Google Cloud. * Experience with data analytics, data science operations, and deployment of models on cloud environments. * Knowledge of ...
Data Scientist - Crystal City (DC Area)
$76K - $142K/yr
Familiarity with cloud platforms including Azure, AWS, and Google Cloud. * Experience with data analytics, data science operations, and deployment of models on cloud environments. * Knowledge of ...
Data Scientist
$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
$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 - Crystal City (DC Area)
Falls Church, VA · On-site
$76K - $142K/yr
Familiarity with cloud platforms including Azure, AWS, and Google Cloud. * Experience with data analytics, data science operations, and deployment of models on cloud environments. * Knowledge of ...
Data Scientist - Crystal City (DC Area)
Falls Church, VA · On-site
$76K - $142K/yr
Familiarity with cloud platforms including Azure, AWS, and Google Cloud. * Experience with data analytics, data science operations, and deployment of models on cloud environments. * Knowledge of ...
Data Scientist - Crystal City (DC Area)
$76K - $142K/yr
Familiarity with cloud platforms including Azure, AWS, and Google Cloud. * Experience with data analytics, data science operations, and deployment of models on cloud environments. * Knowledge of ...
Data Scientist - Crystal City (DC Area)
$76K - $142K/yr
Familiarity with cloud platforms including Azure, AWS, and Google Cloud. * Experience with data analytics, data science operations, and deployment of models on cloud environments. * Knowledge of ...
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 ...
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 ...
Google Data Science information
Can a Data Scientist work in Google?
How much do data scientists make at Google?
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?
Is 40 too late for data science?
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.

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 20 hours ago
Job description
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory.
KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice.
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
- 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
KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.