Entry Level Sales

2 weeks ago

Toronto, Ontario, Canada IBM Full time

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


A Data Scientist on the Client Engineering team covers all stages of the data model lifecycle from Data Engineering to Model Building, Machine Learning Operations and AI Governance to create a trusted end-to-end AI solution.

A 'Day-in-the Life' of a Data Scientist that is focused on the Hybrid Data & AI management may include, but not be limited to:

  • Key contributor to a presales Client Engineering team, partnering with clients to understand business problems and propose solutions using IBM technologies.
  • Involvement in the cocreation of rapid proofs of concept and Minimal Viable Solutions that demonstrate business value.
  • Translates business problems into leadingedge analytics solutions using consulting skills, industry expertise, and technical knowledge.
  • Delivers meaningful insights and predicts emerging trends to inform business solutions that optimize client value.
To be successful in this role, you will need:

  • Confidence to engage new customers and deliver an elevated experience.
  • Motivation to achieve sales, business objectives, and high client satisfaction.
  • Experience in data solutions such as data architecture, governance, and observability; and building data pipelines; and performing data acquisition and cleansing that are focused on addressing realworld business challenges.
  • A growth mindset and continuous learning; motivated to stay current on IBM strategies and products with hands on technical growth in data science and cloud native computing
  • Strong analytic, problem solving, and troubleshooting skills combined with an agile process.

Opportunities are available in:
Toronto

Required Technical and Professional Expertise

  • B.S./M.S. in Computer Science, Data Science, Math, Statistics, Engineering or equivalent technical degree/experience.
  • At least 1 year experience in:data solutions such as data architecture, governance, and observability; and building data pipelines; and performing data acquisition and cleansing.
  • At least 1 year experience with Database System (SQL and NoSQL) and Big Data/Distributed systems with technologies such as Spark, Hive, HDFS and Data API Design.
  • At least 1 year of experience with Extract-TransformLoad (ETL) tools
  • Strong verbal, written, and interpersonal skills.
  • Proven team collaboration and leadership.
  • Readiness to travel up to 30% annually.
  • Must be able to travel to the U.S

Preferred Technical and Professional Expertise

  • At least 2 years of experience in:data solutions such as data architecture, governance, and observability; and building data pipelines; and performing data acquisition and cleansing.
  • Experience with data science libraries and frameworks, such as, Jupyter Notebooks, scikitlearn, Pandas, Spark.
  • Experience with using any of the following data technologies Amazon SageMaker, Databricks, Azure Machine Learning, Dataiku, Microsoft Power BI, Collibra is an asset
  • Specialization in areas such as NLP/NLU, prescriptive analytics and optimization, MLOps, AI solutions, machine vision and/or data visualization

About Business Unit
IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue.

The company's Global Markets organization is a strategic sales business unit that manages IBM's global footprint, working closely with dedicated country-based operating units to serve clients locally.

These country teams have client relationship managers who lead integrated teams of consultants, solution specialists and delivery professionals to enable clients' growth and innovation.

By complementing local expertise with global experience and digital capabilities, IBM builds deep and broad-based client relationships. This local management focus fosters speed in supporting clients, addressing new markets and making investments in emerging opportunities.

Additionally, the Global Markets organization serves clients with expertise in their industry as well as through the products and services that IBM and partners supply.

IBM is also expanding its reach to new and existing clients through digital marketplaces.


In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself

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