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Senior Data Scientist / Analytic Consultant 5

Company name
Wells Fargo

Location
San Francisco, CA

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\u003Cstrong\u003EJob Description\u003C/strong\u003E\u003Cbr\u003E\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan roman=\\\u003EAt Wells Fargo, we have one goal: to satisfy our customers' financial needs and help them achieve their dreams. We're looking for talented people who will put our customers at the center of everything we do. Join our diverse and inclusive team where you'll feel valued and inspired to contribute your unique skills and experience. \u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cp\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan roman=\\\u003EHelp us build a better Wells Fargo. It all begins with outstanding talent. It all begins with you.\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cp\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cb\u003EWells Fargo's Chief Administrative Office (CAO)\u003C/b\u003E\u003Cspan\u003E consists of enterprise functions that work together to promote and protect the Wells Fargo culture and brand, and support our team members. Groups within CAO work to protect our reputation, tell our story, bolster team member engagement, connect with our customers, and bring new and innovative solutions to life.\u003C/span\u003E CAO functions include Commitment to Customer, Corporate Responsibility \u0026amp; Community Relations, Data Management \u0026amp; Insights, Human Resources, Marketing, and Stakeholder Relations.\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAs a senior data scientist in Wells Fargo's Enterprise Analytics group, you will be responsible for pushing the state of the art in organization-wide natural language processing (NLP) and speech analytics applications. As an in-house expert in NLP and speech analytics, this position involves working across Wells Fargo lines of business to determine useful ways in which NLP and speech analytics can solve critical business problems and satisfy customers' financial needs. We are looking for individuals who are intellectually curious, self-motivated and have advanced knowledge of NLP, speech, machine learning and artificial intelligence tools and techniques.\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cstrong\u003E\u003Cspan\u003EKey Responsibilities Include:\u003C/span\u003E\u003C/strong\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cul\u003E
\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EBuilding, testing and validating machine learning models for production use with open source tools\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EUsing cutting edge Natural Language Processing techniques to extract useful information from unstructured text data in various data sources, such as customer complaints, social media comments, financial documents and web activity\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EMentoring a team of junior data scientists and collaborating on new research\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003Econtributing to and managing an enterprise-level code base for NLP and Machine Learning tasks\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EScaling analytics solutions to Big Data with Hadoop, Spark/PySpark and other Big Data tools\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E
\u003C/ul\u003E\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAs a \u003Cstrong\u003E Team Member Manager\u003C/strong\u003E , you are expected to achieve success by leading yourself, your team, and the business. Specifically you will: \u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cul\u003E
\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003ELead your team with integrity and create an environment where your team members feel included, valued, and supported to do work that energizes them.\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003EAccomplish management responsibilities which include sourcing and hiring talented team members, providing ongoing coaching and feedback, recognizing and developing team members, identifying and managing risks, and completing daily management tasks.\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E
\u003C/ul\u003E\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003ERequired Qualifications\u003C/strong\u003E\u003Cbr\u003E\u003Cp\u003E\u003Cspan\u003E\u003Cul\u003E
\u003Cli\u003E8 years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Masters degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 5 years of experience in one or a combination of the following: reporting, analytics, or modeling\u003C/li\u003E
\u003Cli\u003E3 years of Python experience\u003C/li\u003E
\u003Cli\u003E3 years of SQL experience\u003C/li\u003E
\u003Cli\u003E3 years of experience using quantitative machine learning techniques\u003C/li\u003E
\u003Cli\u003E3 years of Natural Language Processing (NLP) experience\u003C/li\u003E
\u003C/ul\u003E\u003C/span\u003E\u003C/p\u003E\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EDesired Qualifications\u003C/strong\u003E\u003Cbr\u003E\u003Cp\u003E\u003Cspan\u003E\u003Cul\u003E
\u003Cli\u003EExtensive knowledge and understanding of research and analysis\u003C/li\u003E
\u003Cli\u003EStrong analytical skills with high attention to detail and accuracy\u003C/li\u003E
\u003Cli\u003EExcellent verbal, written, and interpersonal communication skills\u003C/li\u003E
\u003Cli\u003EBig Data experience\u003C/li\u003E
\u003Cli\u003EExperience with Tensorflow, Theano or Keras\u003C/li\u003E
\u003Cli\u003EExperience with design, implementation and governance with Artificial Intelligence, Natural Language Processing or Machine Learning Architecture\u003C/li\u003E
\u003C/ul\u003E\u003C/span\u003E\u003C/p\u003E\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EOther Desired Qualifications\u003C/strong\u003E\u003Cbr\u003E\u003Cul\u003E
\u003Cli\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Strong ability to retrieve, combine and transform data from numerous information systems \u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Experience working with big data infrastructure with tools such as Hive, Spark and h2o\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Ability to think creatively to find innovative solutions to complex analytical questions \u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Reading, understanding and implementing algorithms and other techniques from academic papers\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Proven ability to take initiatives and drive each project to completion with minimal guidance while effectively managing multiple projects at a time \u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Ability to translate and summarize complex analysis into understandable, actionable insights and recommendations that directly drive effective business strategy\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E 2 years' experience operationalizing ML or NLP solutions \u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003C/ul\u003E\u003Cp\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cb\u003E\u003Cspan\u003E Text Analytics:\u003C/span\u003E\u003C/b\u003E\u003Cb\u003E\u003Cspan\u003E\u003C/span\u003E\u003C/b\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003Cul\u003E
\u003Cli\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E 2 years of text analytics experience \u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Experience using GitHub for version control and collaboration\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Knowledge and/or experience with the following:\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli\u003E\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Implementing solutions with common NLP frameworks and libraries in Python (NLTK, spaCy, gensim) or Java (Stanford CoreNLP, NLP4J)\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli\u003E
\u003Cp align=\left\\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Common NLP techniques, such as\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E
\u003Cul\u003E
\u003Cli calibri font-size: font-style: normal font-weight:\u003E\u003Cp align=\left\ arial narrow font-size: font-style: normal font-weight: margin-top: margin-bottom: mso-list: l1 level2 lfo2 mso-add-space: auto\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Pre-processing (tokenization, part-of-speech tagging, parsing, stemming)\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli calibri font-size: font-style: normal font-weight:\u003E\u003Cp align=\left\ arial narrow font-size: font-style: normal font-weight: margin-top: margin-bottom: mso-list: l1 level2 lfo2 mso-add-space: auto\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Semantic analysis (named entity recognition, sentiment analysis)\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
\u003Cli calibri font-size: font-style: normal font-weight:\u003E\u003Cp align=\left\ arial narrow font-size: font-style: normal font-weight: margin-top: margin-bottom: mso-list: l1 level2 lfo2 mso-add-space: auto\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Modeling and word representations (TF-IDF, LSA, LDA, word2vec)\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/p\u003E\u003C/li\u003E
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\u003Cli align=\left\ arial narrow font-size: font-style: normal font-weight: margin-top: margin-bottom: mso-list: l1 level2 lfo2 mso-add-space: auto\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Data engineering skills (deploying analytical solutions across an organization in a production format)\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E
\u003Cli align=\left\ arial narrow font-size: font-style: normal font-weight: margin-top: margin-bottom: mso-list: l1 level2 lfo2 mso-add-space: auto\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Serving as an in-house expert on NLP and speech analytics, teaching others advanced techniques and using state-of-the-art methods\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E
\u003Cli align=\left\ arial narrow font-size: font-style: normal font-weight: margin-top: margin-bottom: mso-list: l1 level2 lfo2 mso-add-space: auto\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E\u003Cspan\u003E Experience with design, implementation and governance with Artificial Intelligence, Natural Language \u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/span\u003E\u003C/li\u003E
\u003C/ul\u003E\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\u003Cbr\u003E\u003Cstrong\u003EDisclaimer\u003C/strong\u003E\u003Cbr\u003E\u003Cp\u003E\u003Cspan font-size:\u003E\u003Cbr\u003EAll offers for employment with Wells Fargo are contingent upon the candidate having successfully completed a criminal background check. Wells Fargo will consider qualified candidates with criminal histories in a manner consistent with the requirements of applicable local, state and Federal law, including Section 19 of the Federal Deposit Insurance Act.\u003Cbr\u003E\u003Cbr\u003ERelevant military experience is considered for veterans and transitioning service men and women.\u003Cbr\u003EWells Fargo is an Affirmative Action and Equal Opportunity Employer, Minority/Female/Disabled/Veteran/Gender Identity/Sexual Orientation.\u003C/span\u003E\u003Cbr\u003E\u003C/p\u003E,datePosted:2018-05-13,employmentType:FULL_TIME,industry:Other,hiringOrganization:{@type:Organization,name:Wells Fargo},identifier:{@type:PropertyValue,name:Wells Fargo,value:5398649-8},jobLocation:{@type:Place,address:{@type:PostalAddress,addressCountry:US,streetAddress:,addressLocality:San Francisco,addressRegion:CA,postalCode:94102}}}

Company info

Wells Fargo
Website : https://www.wellsfargo.com/

Company Profile
Wells Fargo & Company provides retail, commercial, and corporate banking services to individuals, businesses, and institutions. The company’s Community Banking segment offers checking and market rate accounts, savings and time deposits, individual retirement accounts, and remittances; and lines of credit, auto floor plan lines, equity lines and loans, equipment and transportation loans, education and residential mortgage loans, and credit and debit cards. This segment also provides equipment leases, real estate and other commercial financing, small business administration financing, venture capital financing, cash management, payroll services, retirement plans, health savings accounts, and merchant payment processing and private label financing solutions, as well as purchases retail installment contracts. Its Wholesale Banking segment offers commercial loans and lines of credit, letters of credit, asset-based lending, equipment leasing, international trade facilities, trade financing, collection, foreign exchange, treasury management, investment management, institutional fixed-income sales, interest rate, commodity and equity risk management, insurance, corporate trust fiduciary and agency, and investment banking services, as well as online/electronic products. This segment also provides construction, and land acquisition and development loans; secured and unsecured lines of credit; interim financing arrangements; rehabilitation loans; affordable housing loans and letters of credit; loans for securitization; commercial real estate loan servicing; and real estate and mortgage brokerage services. The company’s Wealth, Brokerage, and Retirement segment offers financial advisory, wealth management, brokerage, retirement, trust, and reinsurance services. As of March 7, 2014, it operated through 9,000 locations and 12,000 ATMs, and offices in 36 countries, as well as through wellsfargo.com. The Company was founded in 1852 and is headquartered in San Francisco, California.

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