Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
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 an 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.
DECICPK
Required Technical and Professional Expertise
Preferred Technical and Professional Expertise
IBM is a leading cloud platform and cognitive solutions company. Restlessly reinventing since 1911, we are the largest technology and consulting employer in the world, with more than 290,000 employees serving clients in 177 countries. IBM Research provides unparalleled insight into business, industry and society by leveraging advanced computing architectures and methodologies to solve some of the world’s most pressing challenges.
Los Angeles, CA, USA
2-4 year
Philadelphia, PA, USA
2-4 year
San Antonio, TX, USA
2-4 year
San Diego, CA, USA
2-4 year
San Jose, CA, USA
2-4 year
Research Triangle Park, Durham, NC, USA
2-4 year
Research Triangle Park, Durham, NC, USA
2-4 year
New York, NY, USA
2-4 year
Cambridge, MA, USA
2-4 year
San Jose, CA, USA
2-4 year
Mountain View, CA, USA
2-4 year
Rio de Janeiro, Brazil
0-2 year
Hortolândia, State of São Paulo, Brazil
0-2 year
Rio de Janeiro, Brazil
0-2 year
Hortolândia, State of São Paulo, Brazil
0-2 year
Yorktown Heights, NY, USA
0-2 year
Yorktown Heights, NY, USA
0-2 year
Cambridge, MA, USA
0-2 year
Toronto, ON, Canada
0-2 year
Calgary, AB, Canada
0-2 year
Montreal, QC, Canada
0-2 year
Givatayim, Israel
0-2 year
Cluj-Napoca, Romania
2-4 year
Research Triangle Park, Durham, NC, USA
4-6 year
Givatayim, Israel
0-2 year
Givatayim, Israel
0-2 year
Givatayim, Israel
0-2 year
Givatayim, Israel
0-2 year
São Paulo, State of São Paulo, Brazil
2-4 year
Rio de Janeiro, State of Rio de Janeiro, Brazil
2-4 year
São Paulo, State of São Paulo, Brazil
2-4 year
Rio de Janeiro, State of Rio de Janeiro, Brazil
2-4 year
Rio de Janeiro, State of Rio de Janeiro, Brazil
0-2 year
Frankfurt, Germany
4-6 year
Ehningen, Germany
4-6 year