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Data Scientist

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Avanade

Sep 10

  • Job
    Full-time
    Junior & Mid Level
  • Toronto

AI generated summary

  • You need proficiency in Python and SQL, data cleaning skills, knowledge of Azure ML Studio or Databricks, and understanding of statistics. Familiarity with Azure OpenAI and RAG is essential.
  • You will analyze client needs, design data-driven analytics solutions, and integrate data science with technology and business processes to meet those requirements.

Requirements

  • Proficiency in Python for data analysis and modeling.
  • Familiarity with SQL for querying databases
  • Ability to clean, preprocess, and transform raw data.
  • Understanding of Azure ML Studio or Azure Databricks (Pyspark)
  • Knowledge of statistical concepts (hypothesis testing, confidence intervals).
  • Basic knowledge of prompt engineering and fine tuning & Azure OpenAI
  • Experience with Azure AI Search & Vector Indexes
  • Experience working with RAG (Retrieval Augmented Generation)

Responsibilities

  • Assess client requirements and design analytics solutions based on data analysis, data science, technology, and business process design

FAQs

What qualifications are needed to apply for the Data Scientist position?

Applicants should have proficiency in Python for data analysis, familiarity with SQL, experience with Azure ML Studio or Azure Databricks, and knowledge of statistical concepts, among other skills.

Is experience in machine learning required for this role?

Yes, experience with a variety of machine learning concepts and applications, particularly in NLP, Computer Vision, IoT, AI, and Deep Learning, is key for this position.

What industries will I be working with as a Data Scientist at Avanade?

You will be working across a range of industries, collaborating with some of the world’s leading businesses to build advanced data science solutions.

How much training and development does Avanade provide to its employees?

Avanade offers a minimum of 80 hours of training and paid certifications each year to support employee development.

What soft skills are important for a Data Scientist in this role?

Characteristics such as being consultative, collaborative, resilient, adaptable, intellectually curious, and possessing strong storytelling skills are essential.

Will I be expected to assess client requirements and design analytics solutions?

Yes, assessing client requirements and designing analytics solutions based on data analysis, data science, and business process design is a key part of the job.

Does Avanade promote an inclusive and diverse workplace culture?

Yes, Avanade is dedicated to fostering a diverse and inclusive culture with a deep sense of belonging for all employees.

What type of projects does Avanade's Analytics team work on?

The Analytics team tackles a variety of cutting-edge projects, utilizing technologies in areas like machine learning, advanced analytics, and AI to drive client success.

Are there opportunities for career progression within Avanade?

Yes, Avanade provides dedicated career advisors and opportunities for growth, ensuring employees can advance in their careers.

Is previous experience with Azure AI Search and Vector Indexes necessary for this role?

While experience with Azure AI Search and Vector Indexes is preferred, it may not be strictly required if candidates can demonstrate similar skills or expertise in relevant areas.

Leading provider of digital, cloud and advisory services, industry solutions and design-led experiences via Microsoft

Consulting
Industry
10,001+
Employees
2000
Founded Year

Mission & Purpose

Avanade is the leading provider of innovative digital, cloud and advisory services, industry solutions and design-led experiences across the Microsoft ecosystem. Every day, our 59,000 professionals in 26 countries do what matters to make a genuine human impact for our clients, their employees and their customers.​ With the most Microsoft certifications (60,000+) and 18 (out of 18) Gold-level Microsoft competencies, we are uniquely positioned to help businesses grow and solve their toughest challenges.​ As a responsible business, we are building a sustainable world and helping young people from underrepresented communities fulfill their potential.​