Introduction
As a Data Scientist at IBM, you will help transform our clients\xe2\x80\x99 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\xe2\x80\x99s 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
In this role, you\xe2\x80\x99ll be the go-to subject matter expert, collaborating with colleagues from various roles to define solutions and lead the way in how they get built in the age of cloud and AI. This role is hands-on and client-facing; co-creating using data science, machine learning, and programming skills in approximately 4 \xe2\x80\x93 6 week client engagements where you will get the opportunity to show clients how we can address their data priorities and challenges by using IBM\xe2\x80\x99s technolgoies.

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 pre-sales Client Engineering team, partnering with clients to understand business problems and propose solutions using IBM technologies.

• Involvement in the co-creation of rapid proofs of concept and Minimal Viable Solutions that demonstrate business value.
• Translates business problems into leading-edge 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.
• Applying data engineering techniques which include data governance and building data pipelines to gather, prepare, cleanse, and transform client data for analysis and AI automation.

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 real-world 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 using data analytics tools / languages such as Python, R, SQL or language in similar discipline and applying them to address customer business challenges.
• 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-Transform-Load (ETL) tools
• Demonstrate a growth mindset; current on technical growth in the data science space and willingness to apply data skills across 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 that will address a wide array of real-world business challenges
• 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 analytics tools / languages such as Python, R, SQL, or similar disciplines and applying them to address customer business challenges.
• 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, scikit-learn, 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
• Experience includes internships and work experience that demonstrates applying these skills to lead to a business result or achievement.

About Business Unit IBM has a global presence, operating in more than 175 countries with a broad-based geographic distribution of revenue. The company\xe2\x80\x99s Global Markets organization is a strategic sales business unit that manages IBM\xe2\x80\x99s 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\xe2\x80\x99 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.


Your Life @ IBM 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\xe2\x80\x99ll be able to learn and develop yourself and your career, you\xe2\x80\x99ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer?


About IBM IBM\xe2\x80\x99s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we\xe2\x80\x99re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it\xe2\x80\x99s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.


Location Statement Must have the ability to work in Canada without sponsorship.

For additional information about location requirements, please discuss with the recruiter following submission of your application.


Being You @ IBM 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, pregnancy, disability, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.