5 Data Analysis jobs in Belmont
Data Analysis Specialist
Posted 9 days ago
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Job Responsibilities:
The ideal candidate will have a foundational understanding of machine learning, data annotation, quality assurance, and natural language processing. They will play a pivotal role in updating our machine learning models and ensuring their efficacy.
MAIN TASKS & RESPONSIBILITIES
Machine Learning Model Updates:
- Update training and test model databases with new or amended synthetic textual and image data.
- Modify and refine machine learning data creation, annotation, and rating guidelines.
- Initiate model training processes using internal tools and command-line interfaces.
- Evaluate the performance of trained models to gauge their efficacy and readiness for deployment.
- Design and develop test and training datasets as per the criteria provided by the project manager and other full-time employees.
- Handle data efficiently, ensuring its integrity throughout the workflow.
- Engage in data relevance tasks, ensuring data sets are aligned with project goals.
- Annotate data accurately, ensuring it adheres to set guidelines.
- Conduct manual quality analysis of model results.
- Recognize error patterns and report anomalies for further investigation.
- Deliver detailed reports on findings, including aspects such as utterance quality, LLM evaluation, ASR bug tracking, and customer pain points to be reviewed by the User Experience Research team.
- Implement basic quality control measures and ensure the reliability of processed data.
- Utilize intermediate data analysis techniques to extract insights and inform decision-making.
- Arbitrate discrepancies effectively, ensuring consistent data quality.
- Apply basic knowledge of natural language processing and linguistics to data processing tasks.
- Ensure linguistic accuracy in all processed and annotated data.
Preferred Qualifications:
- Bachelor's degree in Computer Science, Data Science, Linguistics or Computational Linguistics or a related field.
- Ability to work in a fast-paced, collaborative environment.
- Excellent communication skills
- Familiarity with command-line tools and interfaces.
- Strong analytical skills with the ability to identify patterns and anomalies.
Additional Information:
This role primarily focuses on English US data sets; however, familiarity with translation or multi-lingual data sets can be a plus for future projects.
Additional Job Details:
Data Analysis Engineer (Python/Tableau ON-SITE)
Posted today
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Overview:
Seeking a Data Analysis Engineer. The role involves building Tableau dashboards, Python scripting, and working with hardware-generated data. This role will focus on building interactive Tableau dashboards, developing Python scripts, analyzing datasets, and creating clear visualizations to drive insights for engineering teams.
Responsibilities:
- Design, develop, and maintain Tableau dashboards for hardware and operational data reporting.
- Write and optimize Python scripts for data processing, automation, and analysis.
- Perform data cleaning, transformation, and statistical analysis to extract insights.
- Manage and process large datasets, including uploading and parsing CSV files from hardware systems.
- Build clear and effective data visualizations to communicate trends, anomalies, and key findings to stakeholders.
- Collaborate with cross-functional engineering teams to understand requirements and deliver actionable insights.
- AI/ML knowledge where relevant to support predictive analysis and pattern recognition.
- Leverage exposure to embedded systems to contextualize hardware-generated data and troubleshoot data inconsistencies.
Qualifications:
- Strong experience with Tableau (dashboard design, advanced calculations, performance optimization).
- Proficiency in Python (data analysis libraries such as Pandas, NumPy, Matplotlib/Seaborn).
- Solid background in data analysis, statistics, and visualization best practices.
- Experience with data uploads, ETL workflows, and handling hardware-generated files (CSV, JSON, etc.).
- Understanding of AI/ML concepts and how to apply them to real-world datasets.
- Exposure to embedded systems data or hardware-related analytics is a strong plus.
- Excellent problem-solving, communication, and collaboration skills.
Submit resume to
Location: Cupertino, CA
Type: Contract
Duration : 12+ Months (with possible extension)
Pay Rate Range: $ 60-$80/h (DOE)
Data Analysis Engineer (Python/Tableau ON-SITE) (Cupertino)
Posted 1 day ago
Job Viewed
Job Description
Overview:
Seeking a Data Analysis Engineer. The role involves building Tableau dashboards, Python scripting, and working with hardware-generated data. This role will focus on building interactive Tableau dashboards, developing Python scripts, analyzing datasets, and creating clear visualizations to drive insights for engineering teams.
Responsibilities:
- Design, develop, and maintain Tableau dashboards for hardware and operational data reporting.
- Write and optimize Python scripts for data processing, automation, and analysis.
- Perform data cleaning, transformation, and statistical analysis to extract insights.
- Manage and process large datasets, including uploading and parsing CSV files from hardware systems.
- Build clear and effective data visualizations to communicate trends, anomalies, and key findings to stakeholders.
- Collaborate with cross-functional engineering teams to understand requirements and deliver actionable insights.
- AI/ML knowledge where relevant to support predictive analysis and pattern recognition.
- Leverage exposure to embedded systems to contextualize hardware-generated data and troubleshoot data inconsistencies.
Qualifications:
- Strong experience with Tableau (dashboard design, advanced calculations, performance optimization).
- Proficiency in Python (data analysis libraries such as Pandas, NumPy, Matplotlib/Seaborn).
- Solid background in data analysis, statistics, and visualization best practices.
- Experience with data uploads, ETL workflows, and handling hardware-generated files (CSV, JSON, etc.).
- Understanding of AI/ML concepts and how to apply them to real-world datasets.
- Exposure to embedded systems data or hardware-related analytics is a strong plus.
- Excellent problem-solving, communication, and collaboration skills.
Submit resume to
Location: Cupertino, CA
Type: Contract
Duration : 12+ Months (with possible extension)
Pay Rate Range: $ 60-$80/h (DOE)
Manager, Data and Analysis
Posted 9 days ago
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Job Description
Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by AdAge as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.
Overview
Manager, Data & Analysis
The Data & Analysis team uses data-driven insights to fuel strategic growth for clients. We believe that data should never exist in a vacuum; instead, it should be put to work to bring the best ideas and stories to our clients.
To help with this, we're looking for an outstanding Manager- someone who can lead a team of analysts, provide strategic data-driven recommendations to drive client goals, and collaborate with internal partners to drive cross-functional success. Sound like you? Read on.
As a Manager,you'll drive strategic marketing growth for clients and inspire a team of analysts and senior analysts. You'll work to surpass client goals through brand campaigns, acquisition campaigns, site optimization, and/or online testing strategy.
Day-to-day, your role includes:
- Providing and presenting strategic data-driven recommendations across channels to improve client decision-making and ROI
- Building effective marketing strategies with other internal partners to optimize client budgets and programs
- Leading a team of Analysts and Senior Analysts through regular client reporting, ensuring their growth as they progress through their career
- Serving as a client and internal resource on industry trends and key functional areas such as analytical tools and marketing measurement
- Evaluating new online and offline data opportunities in the form of new sources, new technology, client priorities, partnership, etc.
- Fostering creative thinking around how we use data, and we could use data to solve unique business challenges in support of all Marketing activities (Media, Creative, CRM, and eCommerce).
We're looking for strong, impactful work experience, which typically includes:
- 5-7 years of experience in analytics or strategy with an advertising agency, management consulting company, or ad tech company
- Experience managing a team
- Strong analytical, critical thinking, and problem solving skills
- Experience with modern statistical learning methods (regression techniques, classification models, supervised and unsupervised learning, etc.)
- Knowledge of digital data technologies (DMPs, Google Analytics, digital pixel tracking, site tagging, etc.)
- Data skills including dataset manipulation (SQL/Python), data visualization (Tableau/Looker), and presentation (Powerpoint)
- A four-year college degree; advanced degree is a plus
- Passion for online advertising and emerging trends in the digital landscape
- The ability to thrive in a fast-paced and deadline-driven environment
Got what it takes? We'd love to hear from you!
Additional Information
Digitas is an equal opportunity employer. All your information will be kept confidential according to EEO guidelines.
Compensation Range: $87,210 - $137,195 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. If your requirements fall outside of this range, you are still welcome to apply.
Data Scientist: NLP & Text Analysis
Posted 3 days ago
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Location: Sunnyvale, California
Duration: Contract
Job ID:
Job Overview:
We are seeking a skilled Data Scientist with expertise in Natural Language Processing (NLP) and text analysis to uncover insights from text data and communicate findings effectively. This role focuses on generating actionable insights, not just building and deploying models. The ideal candidate will have a strong background in text analysis, data visualization, and collaboration with stakeholders to present insights in an engaging and interpretable manner.
Responsibilities:
- Analyze and interpret text data using NLP techniques, including traditional machine learning, deep learning, and large language models (LLMs).
- Generate insights that are actionable and understandable by humans, not just algorithms.
- Create visualizations to clearly communicate patterns and findings.
- Collaborate with stakeholders to present insights in engaging and interpretable ways.
- 5+ years of hands-on experience in text analysis and NLP to derive insights from text data.
- 5+ years of experience with Python.
- Strong skills in data visualization (Tableau preferred; Python acceptable).
- Familiarity with SQL is a plus.
- Experience in Artificial Intelligence, Machine Learning, and Data Visualization (5-10 years preferred).
Core Professional Competencies:
- Communication: Clearly communicates technical work to diverse audiences, both verbally and in writing. Participates in peer reviews and team discussions with clarity and purpose.
- Documentation: Maintains clear, structured documentation of project logic, decisions, and maintenance. Contributes to team standards for reproducibility and transparency.
- Collaboration: Works effectively with cross-functional partners. Values shared ownership and ensures continuity through knowledge sharing.
- Initiative: Comfortable in ambiguity; proactively identifies issues and opportunities. Demonstrates curiosity and critical thinking.
- Attention to Detail: Delivers high-quality, consistent code and documentation that supports long-term maintainability and trust in data systems.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit
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Pay Range: $65 - $80
The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.
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