Senior Director, Data Science (Remote-Eligible) Data is at the center of everything we do. As a ... You have experience with clustering, classification, sentiment analysis, time series, and deep ...
Senior Director, Data Science (Remote-Eligible) Data is at the center of everything we do. As a ... You have experience with clustering, classification, sentiment analysis, time series, and deep ...
Senior Director, Data Science (Remote-Eligible) Data is at the center of everything we do. As a ... You have experience with clustering, classification, sentiment analysis, time series, and deep ...
Senior Director, Data Science (Remote-Eligible) Data is at the center of everything we do. As a ... You have experience with clustering, classification, sentiment analysis, time series, and deep ...
Senior Director, Marketing, Global
Ashburn, VA · On-site +1
The department also leads public and analyst relations to ensure constituents are educated on ... sentiment and promote the company as an employer of choice. Position Overview This role can be ...
Senior Director, Marketing, Global
Ashburn, VA · On-site +1
The department also leads public and analyst relations to ensure constituents are educated on ... sentiment and promote the company as an employer of choice. Position Overview This role can be ...
USA Pubic Sector Solution Engineer Strategy & Planning Manager - Remote USA
Arlington, VA · On-site +1
... overall sentiment to continuously shape our plans and priorities. Location: Anywhere in the USA ... Strong quantitative and analytical skills * Meticulous attention to detail and accuracy Preferred ...
New
USA Pubic Sector Solution Engineer Strategy & Planning Manager - Remote USA
Arlington, VA · On-site +1
... overall sentiment to continuously shape our plans and priorities. Location: Anywhere in the USA ... Strong quantitative and analytical skills * Meticulous attention to detail and accuracy Preferred ...
New
Senior Manager, Content Strategy
Richmond, VA · On-site +1
$152K - $191K/yr
Brand sentiment monitoring across social and community platforms, and actively shaping Mission Lane ... Proficiency with analytics tools such as SEMrush, Ahrefs, or Google Search Console * Experience ...
Quick apply
Senior Manager, Content Strategy
Richmond, VA · On-site +1
$152K - $191K/yr
Brand sentiment monitoring across social and community platforms, and actively shaping Mission Lane ... Proficiency with analytics tools such as SEMrush, Ahrefs, or Google Search Console * Experience ...
Senior Manager, Content Strategy
Arlington, VA · On-site +1
$152K - $191K/yr
Brand sentiment monitoring across social and community platforms, and actively shaping Mission Lane ... Proficiency with analytics tools such as SEMrush, Ahrefs, or Google Search Console * Experience ...
Quick apply
Senior Manager, Content Strategy
Arlington, VA · On-site +1
$152K - $191K/yr
Brand sentiment monitoring across social and community platforms, and actively shaping Mission Lane ... Proficiency with analytics tools such as SEMrush, Ahrefs, or Google Search Console * Experience ...
Remote Sentiment Analysis information
What are some common challenges faced by professionals working in remote sentiment analysis roles, and how can they be managed?
One of the main challenges in remote sentiment analysis roles is maintaining accuracy across diverse datasets, especially when interpreting nuanced language or cultural context. Working remotely can also make collaboration with team members and quick feedback loops more difficult. To overcome these issues, professionals often use collaborative platforms for regular communication, participate in ongoing training to stay updated on language trends, and rely on standardized annotation guidelines to ensure consistency. Being proactive in seeking feedback and sharing insights with the team greatly enhances both individual and project performance.
What are the key skills and qualifications needed to thrive as a Remote Sentiment Analyst, and why are they important?
To thrive as a Remote Sentiment Analyst, you need a background in linguistics, data analysis, and a strong understanding of natural language processing (NLP), often supported by a degree in a related field. Familiarity with sentiment analysis tools, machine learning platforms, and data visualization software is typically required. Strong attention to detail, critical thinking, and effective written communication help analysts interpret nuanced data and present findings clearly. These skills are essential for accurately assessing sentiment in large data sets and driving actionable insights for business or research objectives.
What is remote sentiment analysis?
Remote sentiment analysis is the process of evaluating and interpreting the emotional tone behind text data, such as social media posts, customer reviews, or emails, while working from a remote location. Professionals in this field use natural language processing (NLP) tools and machine learning algorithms to identify opinions, attitudes, or emotions expressed in written content. This information helps businesses understand customer feelings, improve products, and enhance marketing strategies. Remote sentiment analysts often collaborate with teams online and use cloud-based platforms to access and analyze large datasets. The role requires strong analytical skills, attention to detail, and proficiency with relevant software.
What is the difference between Remote Sentiment Analysis vs Remote Data Labeling Specialist?
| Aspect | Remote Sentiment Analysis | Remote Data Labeling Specialist |
|---|---|---|
| Required Credentials | Basic data analysis, NLP knowledge | Data annotation, labeling tools familiarity |
| Work Environment | Remote, tech companies, AI/ML projects | Remote, AI/ML, data preparation teams |
| Industry Usage | AI, NLP, customer feedback analysis | Machine learning training data creation |
| Common Search Intent | Understanding sentiment analysis roles | Comparing data labeling jobs |
Remote Sentiment Analysis involves evaluating text data to determine sentiment, often requiring NLP skills. Remote Data Labeling Specialists focus on annotating data for machine learning models, including sentiment labels. While both roles support AI development, sentiment analysis emphasizes interpreting data, whereas data labeling involves preparing data. Candidates should consider their skills and career goals when choosing between these roles.
What are the most commonly searched types of Sentiment Analysis jobs in Virginia? The most popular types of Sentiment Analysis jobs in Virginia are:
What are popular job titles related to Remote Sentiment Analysis jobs in Virginia? For Remote Sentiment Analysis jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Sentiment Analysis jobs in Virginia look for? The top searched job categories for Remote Sentiment Analysis jobs in Virginia are:
What cities in Virginia are hiring for Remote Sentiment Analysis jobs? Cities in Virginia with the most Remote Sentiment Analysis job openings:
Full-time
Posted 5 days ago
Capital One rating
7.7
Based on 145 frontline employees who took The Breakroom Quiz
91st of 170 rated banks
Job description
Senior Director, Data Science (Remote-Eligible)
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Science Leader at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
The Intelligent Foundations and Experiences (IFX) group is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering. The Emerging AI Patterns team within IFX group is a new strategic initiative to explore and operationalize cutting-edge AI paradigms like Agentic frameworks, multi-agent collaboration. We are specifically focused on revolutionizing how Capital One develops, deploys, and manages a large number of machine learning models through Agentic AI systems.
In this role, you will:
Partner with a cross-functional team of software engineers, distinguished researchers, and solutions architects to drive great decisions through modeling
Define and drive towards an end state that is based on simplicity and the adoption of digital technologies, cloud hosting, and open source software.
Distill the details of complex interconnected modeling systems to influence senior business leaders on model strategy, business use, and risks
Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners
Shape our practice of building machine learning models, from design through training, evaluation, validation, and implementation
Oversee development of benchmark and challenger models to stress test critical modeling decisions
The Ideal Candidate is:
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo.
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea.
Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
Basic Qualifications:
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date :
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 11 years of experience performing data analytics
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 9 years of experience performing data analytics
A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics
At least 6 years of experience leveraging open source programming languages for large scale data analysis
At least 6 years of experience working with machine learning
At least 6 years of experience utilizing relational databases
Preferred Qualifications:
PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics
At least 6 years of experience in Python, Scala, or R for large scale data analysis
At least 6 years of experience with machine learning
At least 2 year of experience working with AWS
At least 6 years of experience with complex architectural patterns (SOA), building APIs, microservices, and event streams
At least 6 years of experience with DevOps or DevSecOps and building CI/CD pipelines using Jenkins, Artifactory, Chef, Ansible, AWS CloudFormation templates, GitHub, and Sonar
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One is open to hiring a Remote Employee for this opportunity.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Remote (Regardless of Location): $286,200 - $326,700 for Sr Dir, Data ScienceCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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