Introduction
As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it’s investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.
Your Role and Responsibilities
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 revenues and/or increasing 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 apply 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 Technical and Professional Expertise
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Data analytics tools, like SPSS Modeler, SAS, Watson Studio, Cognos Analytics, Tableau and MS Power BI
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Programming languages, like Python, R, QMF, J.Node, Java/C/C++
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Finance Domain expertise, including Finance Planning, Variance Analysis and Accounting workflows
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Project management concepts, including Agile, CRISP-DM and Lean or Lean Six Sigma
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Bachelor’s degree in Analytics, Applied Mathematics, Data Science, Statistics, Finance, MIS, or closely related program
Preferred Technical and Professional Expertise
N/A
About Business UnitIBM Services is a team of business, strategy and technology consultants that design, build, and run foundational systems and services that is the backbone of the world's economy. IBM Services partners with the world's leading companies in over 170 countries to build smarter businesses by reimagining and reinventing through technology, with its outcome-focused methodologies, industry-leading portfolio and world class research and operations expertise leading to results-driven innovation and enduring excellence.
Your Life @ IBMWhat matters to you when you’re looking for your next career challenge?
Maybe you want to get involved in work that really changes the world? What about somewhere with incredible and diverse career and development opportunities – where you can truly discover your passion? Are you looking for a culture of openness, collaboration and trust – where everyone has a voice? What about all of these? If so, then IBM could be your next career challenge. Join us, not to do something better, but to attempt things you never thought possible.
Impact. Inclusion. Infinite Experiences. Do your best work ever.
About IBMIBM’s greatest invention is the IBMer. We believe that progress is made through progressive thinking, progressive leadership, progressive policy and progressive action. IBMers believe that the application of intelligence, reason and science can improve business, society and the human condition. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 380,000 IBMers serving clients in 170 countries.
Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.
Being You @ IBMIBM 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, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.