• Sr. Manager Data Science- Machine Learning , NLP Jobs in United States Of America - 25673607

  • United States Of America, Usa
  • Save Job
  • 6 - 9 Years
  • Posted : above 1 month

Job Description:

At Capital One, were building a leading information-based technology company Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking We measure our efforts by the success our customers enjoy and the advocacy they exhibit We are succeeding because they are succeeding

Guided by our shared values, we thrive in an environment where collaboration and openness are valued We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results We elevate each other and obsess about doing the right thing Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams Together, we are on a quest to change banking for good

Sr Manager Data Science- Machine Learning, NLP

Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small business and commercial clients Ranked #127 on the Fortune 500, Capital One has one of the most widely recognized brands in America As one of the nations top 10 banks, we offer a broad spectrum of financial products and services to consumers, small businesses and commercial clients We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared Values, come together to make Capital One a great company and a great place to work

At Capital One, data is at the center of everything we do When we launched 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

Department Summary

The Card ML team is working to transform every corner of our business with machine learning To accomplish this goal, we use the latest techniques in machine learning - deep learning, reinforcement learning, genetic algorithms, and natural language processing - and marry them with real-time streaming data in the cloud, to create best-in-class enterprise-scale ML products We tackle a huge variety of business problems and work with vast quantities of data of every kind

Role Summary

As an ML Scientist at Capital One, youll be joining a research group thats part of driving the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and difficulty in their financial lives We do machine learning research and product development differently at Capital One ML scientists arent siloed in the lab, but instead partner closely with Software Engineers, Product Managers, and business stakeholders, to discover, invent, and build at the largest scale Ideas may come from internal projects as well as from academic partnerships with world-class institutions NLP Scientists work on building state of the art speech recognition in noisy environments, building models and deriving insights from customer interactions, and enabling products that help customers complete tasks via natural language conversation In this role, you will apply your expertise in NLP (extraction, summarization, classification, understanding, generation), machine learning or speech processing, to inform a research groups agenda and drive critical business outcomes You stay connected to the wider research community as an active contributor

The Ideal Candidate will be

-Technical You are independent and can develop your own algorithms and experiments You have hands-on experience developing NLP solutions, from concept to production, and selecting the right tool for the job at hand You understand modern cloud computing Lots of data do not frighten you, they present a challenge you are eager to take on You know R, Scala, and/or Python

-Innovative You continually research and evaluate emerging technologies You stay current on published state-of-the-art ML methods, technologies, and applications You ask why, explore and openly share your disruptive ideas

-Business-Minded You can analyze customer needs and drive towards impactful business outcomes

-Leader You challenge conventional thinking and traditional ways of operating and you work with stakeholders to identify and improve the status quo

Basic Qualifications

- Masters Degree plus 6 years of experience in machine learning, or PhD

- At least 3 years coding experience with open source programming languages (eg R, Python, or Scala)

- At least 3 years experience in natural language processing, speech recognition, or computational linguistics

- At least 3 year experience developing solutions that leverage one or more of the following operations research, natural language processing, machine learning, deep learning, video analysis, image analysis, or time-series analysis

Preferred Qualifications

- PhD in a Machine Learning discipline plus 3 years of experience in Machine Learning

-At least 2 years experience working with cloud platform like AWS or Azure

-At least 5 years experience developing solutions in Python, Scala, or R-Top-tier peer-reviewed publications on NLP research

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

No agencies please Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law 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 Citys Fair Chance Act; Philadelphias 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 RecruitingAccommodationcapitalonecom 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 Ones recruiting process, please send an email to Careerscapitalonecom

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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Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Others - other Industry
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 15th Jul 2020

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