Principal Data Scientist - Ibm Finance And Operations

job - full time, paid

IBM
Armonk, NY
Closed
Posted 42 Days ago
IBM
Armonk, NY
job - full time, paid
Posted 42 Days ago
Closed

Description

Principal Data Scientist - IBM Finance and Operations. Armonk, New York - USD Full Time Posted: Friday, 5 July 2019 Introduction Your Role and Responsibilities Do you want to cutting-edge data science techniques to solve real-life business problems? IBM Finance and Operations is looking for experienced data scientist to provide thought leadership and guidance on applying innovative analytical techniques to drive improved key business outcomes, process simplification, and automation. The ideal candidate will be an accomplished professional, who is comfortable operating in a highly unstructured environment to define and structure initiatives, mentor and manage teams, and work closely with executive clients to ensure initiatives lead to a quantifiable impact. The Candidate will leverage fact-based analytics and strategic insights to help drive cross-business unit initiatives focused primarily on increasing IBM revenues and/or increasing IBM efficiencies. The candidate must be experienced in all six dimensions of data science: Business acumen : Ability to work with domain experts; can quickly grasp the underlying business process and gain an understanding of how it works. Understanding of business strategy and execution; experience in business transformation; expertise converting a business problem into an analytical solution. Broad skill in analytics disciplines : Ability to determine the appropriate analytics technique for addressing classes of business problems; understanding of data mining techniques and machine learning algorithms (regression analysis, cluster analysis, decision trees, neural networks and deep learning, SVMs, Bayesian methods), optimization algorithms and natural language processing Experience using analytical tools to solve business problems : Proficiency in using SPSS Modeler and Python (NumPy, Pandas, Scikit-learn, XGBoost, StatsModels, Gensim, Keras, Tensorflow, NLTK, corenlp, SpaCy, Matplotlib, Bokeh, Scrapy, beautifulsoup4, PySpark) in both desktop and cloud environments; ability to design and develop and appropriate computational techniques to solve business problems; create repeatable, automated processes. Experience in marshalling and analyzing large amounts of data : An understanding of key external and internal data sources and how they are gathered, stored and retrieved; experience manipulating large volumes of data; familiarity with both structured and unstructured data; working knowledge of SQL (IBM DB2, Netezza) and NoSQL, including Hadoop, Spark/PySpark and ElasticSearch. Working knowledge of cloud containerization environments: Docker, Kubernetes. Communication and collaboration : Effective executive communication: proficiency delivering actionable quantitative insights to a non-technical audience utilizing data visualization techniques and dashboards (Cognos or Tableau), charts and graphs. Mentoring/teaching and knowledge transfer of analytics skills to other staff. Experience with collaborative and agile management tools: GitHub, JIRA, Box, Trello. Deployment driving value : Ability to engage with leadership to drive data availability and to embed analytics into systems and processes, to create value. Required Professional and Technical Expertise MS Degree in Data Science, or Doctorate Degree in a discipline that uses applied quantitative analysis/statistics as a research method, such as Data Science, Statistics, Operations Research, Computer Science. At least 3 years of professional experience extracting, integrating, transforming, analyzing and modeling real-world structured and unstructured data in a high-tech industry. Applied knowledge of tools listed above Preferred Professional and Technical Expertise None About Business Unit Your About IBM Location Statement Being IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Location Armonk, New York, United States of America Industry IT Rate USD Employment Agency IBM Contact IBM Reference JS2365_819E952895A9083D41CFD1AFB18112DD/727214630 Posted Date 7/5/2019 5:42:53 AM Permalink http://www.jobshark.com/HD4mt if ($('#qrcodeMainPanel').length 0) { jQuery('#qrcodeMainPanel').qrcode({ text: "http://www.jobshark.com/us/en/HD4mt" }); } We strongly recommend that you should never provide your bank account details to an advertiser during the job application process. Should you receive a request of this nature please contact support giving the advertiser's name and job reference. {"@context":"http://schema.org","@type":"JobPosting","@id":"https://www.jobshark.com/us/en/search-jobs-in-New-York,-NewYork,-USA/PRINCIPAL-DATA-SCIENTIST-IBM-FINANCE-AND-OPERATIONS-7ACB34CC31B50002BC/","title":"Principal Data Scientist - IBM Finance and Operations.","employmentType":"FULL_TIME","image":null,"description":"BIntroduction/BBR/ BYour Role and Responsibilities/BBR/ Do you want to cutting-edge data science techniques to solve real-life business problems? IBM Finance and Operations is looking for experienced data scientist to provide thought leadership and guidance on applying innovative analytical techniques to drive improved key business outcomes, process simplification, and automation.BR/ The ideal candidate will be an accomplished professional, who is comfortable operating in a highly unstructured environment to define and structure initiatives, mentor and manage teams, and work closely with executive clients to ensure initiatives lead to a quantifiable impact.BR/ The Candidate will leverage fact-based analytics and strategic insights to help drive cross-business unit initiatives focused primarily on increasing IBM revenues and/or increasing IBM efficiencies.BR/ BThe candidate must be experienced in all six dimensions of data science:/BULLI BBusiness acumen/B : Ability to work with domain experts; can quickly grasp the underlying business process and gain an understanding of how it works. Understanding of business strategy and execution; experience in business transformation; expertise converting a business problem into an analytical solution./LILI BBroad skill in analytics disciplines/B : Ability to determine the appropriate analytics technique for addressing classes of business problems; understanding of data mining techniques and machine learning algorithms (regression analysis, cluster analysis, decision trees, neural networks and deep learning, SVMs, Bayesian methods), optimization algorithms and natural language processing/LILI BExperience using analytical tools to solve business problems/B : Proficiency in using SPSS Modeler and Python (NumPy, Pandas, Scikit-learn, XGBoost, StatsModels, Gensim, Keras, Tensorflow, NLTK, corenlp, SpaCy, Matplotlib, Bokeh, Scrapy, beautifulsoup4, PySpark) in both desktop and cloud environments; ability to design and develop and

Skills

python, sql, machine learning, data mining, statistics, data science, hadoop, algorithm development, tableau, data visualization, natural language processing, optimization, agile methodologies, computer science, quantitative analytics

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