Data Scientist 2024-06-14

2 weeks ago

Toronto, Ontario, Canada C5i Full time

OVERVIEW
C5i


C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence.

The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases.

At the core, C5i's focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world's largest enterprises, including many Fortune 500 companies. The company's clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors.

C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Global offices

United States | Canada | United Kingdom | United Arab of Emirates| India

Job Responsibilities

As a Data Scientist, you will be part of C5i's Advanced Analytics and Applied AI team, responsible for:

  • Work with the Analytics team and Client stakeholders to define key questions, translate business problem into an analytical problem and prioritize project work streams and initiatives.
  • Clearly understand the business requirements, objectives, and market before developing and implementing data science and technical analysis strategies, tools, and solutions
  • Apply domain expertise in technology to develop datadriven solutions that address complexchallenges in the industry.
  • Develop, test, and deliver data science solutions to enhance supply chain operations via descriptive, predictive, and prescriptive analytics (through proof of concepts and enterprise grade solutions)
  • Experience with largescale algorithms extracting and analyzing data from multiple and complex data sets and ability to convert complex analysis into easytounderstand insights and action plans.
  • Build data science and analytics work streams working closely with internal teams together with colleagues within the department (Data Engineers, Analysts, etc.) and other client teams.
  • Present datadriven insights from multiple data sources (structured or unstructured) and help test and implement data science and analytics solutions.
  • Researching and applying multidisciplinary techniques and tools, findings, algorithms, and optimization approaches to solutions driving the business understanding of its market and data
  • Building, validating, and prioritizing data science solution pipeline to improve demand plans, service levels, reduce inventory, optimize routing, and other supply chain KPIs.
  • Collaborating with Data, Digital and IT teams, and other Client groups to access required data sources, preprocess available data, build, train, test, and validate models, and scale across business units.
  • Collaborate with crossfunctional teams to identifybusiness problems and opportunities wheredata science can providevaluable insights and solutions.
  • Utilize Python for data manipulation, analysis, and model development, demonstrating proficiency in creating efficient and welldocumented code.
  • Stay up to date with the latest advancements in data science, machine learning, and AI technologies to provide innovative insights and solutions.
  • Conduct openended data mining and analysis for medium to large datasets from disparate sources.

Requirements & Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, IT, or other technical discipline
  • A graduate degree (Masters/PhD in a technical considered a plus
  • Candidates with minimum 49 years' experience as a data scientist with a strong focus on supply chain
  • Advanced knowledge on supply chain operations, experience in consumer electronics industry a big plus
  • Ability to understand ETL processes, and extract data from large and complex data sets and convert them into easytounderstand insights and action plans.
  • Strong statistical skills and proficient database & programming skills to quickly prototype experimental solutions and develop robust, scalable, and maintainable production systems.
  • Project management and time management skills. PMP certification considered a plus.
  • Effective communication, presentation, and strong interpersonal skills, with capacity to interact with all levels in the organization (including regular exposure to leadership)
  • Expert knowledge of advanced analytics, machine learning methods and market leading data analysis tools and platforms
  • Proficiency with tools used to analyse data and develop algorithms and statistical analytics solutions such as SQL, Python, R, Java, or SAS
  • Expertise in Python programming, including libraries such as NumPy, Pandas, scikitlearn, and others commonly used in data analysis and machine learning.
  • Intermediatelevel experience with MLOps practices and on prem platforms for model deployment.
  • Showcase a strong portfolio of successfully deployed machine learning projects that highlight expertise in predictive modeling, classification, regression, clustering, and more.
  • Handson experience in deep learningtechniques related to computer vision and/or Natural Language Processing (NLP).
  • Exhibit knowledge of MLOps practices, enabling smooth integration of machine learningmodels into production systemsand maintaining their lifecycle.
  • Demonstrate an intermediate level of proficiency in onprem platforms (e.g., AWS, Azure, GCP) to ensure efficient and scalable deployment of machine learningsolutions.
  • Experience using data visualization tools such as Microsoft Power BI, Qlik or Tableau
  • Proficiency in MS Office tools such as Word, Excel, and PowerPoint
  • Strong problem solving and analytical capability to tackle complicated issues.
  • Bias for action, drive for results while demonstrating positive attitude and enthusiasm.
  • Experience working at a global enterprise is a plus.
C5i is proud to be an equal opportunity employer.

We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc.

If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.

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