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Data Scientist

Základné informácie

Ref Number

Req_00139627

Posledný deň na podanie prihlášky

25-Nov-2024

Primárna lokácia

IN - Noida 54 - NSEZ

Krajina

Indická republika

Typy zamestnania

Digital Solutions

Work Style

Hybrid, On Site

Opis a požiadavky

  • Lead and execute complex data science projects from inception to completion

  • Develop and implement machine learning models to solve business problems

  • Work with stakeholders to gather requirements and define project scope

  • Collaborate with product managers, engineers, and other stakeholders to define data-driven strategies and deliver actionable insights

  • Explore and analyze data to identify patterns and trends

  • Develop and implement data science solutions to address business challenges

  • Analyze large, complex datasets to uncover trends, patterns, and insights that inform business decisions and present findings to stakeholders in a clear and concise manner

  • Stay abreast of the latest advancements in data science, machine learning, and AI technologies, and apply them to improve existing processes.

  • Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation.

Ďalší popis práce

Qualifications:

  • Master's degree in Data Science, Computer Science, Statistics, or a related field

  • 5+ years of experience in data science

  • Strong understanding of data science principles and techniques

  • Experience with a variety of data science frameworks, such as TensorFlow, PyTorch, and scikit-learn

  • Proven track record of delivering successful data science projects

  • Excellent communication and presentation skills

  • Ability to work independently and as part of a team

  •  Proficient in Python and SQL


Preferred Skills Good to have:

  • Experience with cloud computing platforms, such as AWS, Azure, and GCP

  • Familiarity with big data technologies, such as Hadoop and Spark

  • Experience with data visualization tools, such as Tableau and Power BI

  • Knowledge of statistical methods and machine learning algorithms

  • Exposure to handling very large datasets, NLP, Large Language Models 

  • Exposure to developing Python API 

  • Familiarity with Agile development methodologies.

  • Familiarity with data governance, ethics, and privacy considerations in data science.

EEO Statement

At TELUS International, we enable customer experience innovation through spirited teamwork, agile thinking, and a caring culture that puts customers first. TELUS International is the global arm of TELUS Corporation, one of the largest telecommunications service providers in Canada.   We deliver contact center and business process outsourcing (BPO) solutions to some of the world's largest corporations in the consumer electronics, finance, telecommunications and utilities sectors. With global call center delivery capabilities, our multi-shore, multi-language programs offer safe, secure infrastructure, value-based pricing, skills-based resources and exceptional customer service - all backed by TELUS, our multi-billion dollar telecommunications parent.

Equal Opportunity Employer

At TELUS International, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.
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