Data Scientist-Advanced Analytics

IBM
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Job Description

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

As a Data Scientist, you will deliver high quality and impactful business solutions, furthering the use of AI at enterpriselevel for our clients. You will work together face to face with clients, supporting our gotomarket team in getting new projects and managing projects. The main responsibilities will be:

  • Help our clients solve AI challenges (Predictive Analytics, Statistical Analysis, Machine Learning & Deep Learning) through active listening and bringing solutions to problems
  • Lead analytics projects and manage client’s expectations and deliver results
  • Translate analytical solutions into recommendations
  • Build/improve datadriven models using statistical and machine learning techniques
  • Advice and guide our clients on how to implement AI at an enterprise level
  • Prototype, put to production, integrate machine learning models in business processes and enable automated, intelligent, and datadriven decision making
  • Communicate results and ideas to critical decisionmakers using effective data visualization techniques
  • Write productionlevel code and build scalable data science pipelines in multicloud environments (IBM, Azure, AWS, GCP) or onprem

Required Technical and Professional Expertise

  • We are looking for experienced candidates from all backgrounds with more than 3 years of Data Science experience to become fulltime (senior) data scientists.
  • Strong analytical and problemsolving skills, proven by previous work and other relevant (online) courses or certifications
  • You are curious and eager to learn new technologies and methods continuously
  • Ability to adapt to fastpaced and changing environments and contexts
  • 3+ years of working experience
  • Experience in leading projects and small teams
  • Expertise in translating business requirements into a technical framework
  • Ability to explain complex analysis to a nontechnical audience with your storytelling and data visualization skills
  • Knowledge of machine learning frameworks and concepts like regression and classification and supervised and unsupervised learning methods
  • Expertise with programming languages such as Python and R
  • Practical experience in solving complex challenges using data analysis and modelling

Preferred Technical and Professional Expertise

  • Applied experience working with deep learning frameworks like TensorFlow, Keras, PyTorch or Caffe
  • Applied experience with software engineering principles like versioning, CI/CD, packaging and distribution
  • Applied experience using one or more of the following software/tools: Hadoop, Spark, Kafka, Mongo, SparkStreaming

Company Info.

IBM

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.

  • Industry
    Information Technology,Computer software,Computer hardware
  • No. of Employees
    292,500
  • Location
    New Orchard Road, Armonk, New York, NY 10504, USA
  • Website
  • Jobs Posted

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