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Avanade

Digital transformation, cloud, and IT consulting.

Advanced Analytics Consultant

Applied Machine LearningUpdated on Nov 12
Full-timeNo salary listed

About the Job

Requirements

  • Experience proposing and delivering customer-facing data science solutions.
  • At least three years of professional experience building data analysis models for business use with Python or R, including exploratory data analysis, data preprocessing, evaluation, retraining, and continuous integration.
  • At least three years of professional experience generating, extracting, and visualizing data for analysis and reporting using SQL, Python, R, or similar tools.
  • At least three years of professional experience building and deploying data science solutions on Azure, AWS, or Google Cloud Platform.
  • Business-level Japanese proficiency equivalent to JLPT N1.
  • Ability to commit to the expected outcomes as a team lead of a team of four or more in a solution area where the candidate's ideas can provide an optimal solution.
  • Ability to lead the cycle of hypothesis development, technology selection, analytical model implementation, and validation for client challenges.
  • Ability to represent Avanade in client-facing work at project sites.

Responsibilities

  • Consult on data science using Microsoft technologies and design and build systems for core client business and service IT systems and outsourcing.
  • Develop solutions using machine learning, artificial intelligence, and statistical models with Python or R.
  • Use current data analytics technologies and present analysis results to stakeholders.
  • Handle client engagement end-to-end, from upstream activities, on analytics projects.
  • Participate in presales activities and present prospective clients with business advantages delivered through data science and statistical models.
  • Develop solution prototypes and provide them to the business development team.
  • Validate and improve analytics solution architectures from a practical perspective.
  • Travel domestically and internationally depending on project requirements.

Desired Qualifications

  • Interest in developing skills related to Microsoft's latest data platform, Fabric.
  • Knowledge of applied mathematics, including mathematical optimization, graph theory, and statistics.
  • Academic knowledge in analytics, such as experience writing papers or presenting at conferences.
  • Knowledge of data engineering, data modeling, or big data analytics.
  • Experience using deep learning, including TensorFlow, PyTorch, Keras, or Microsoft CNTK.
  • Experience with distributed machine learning, including Hadoop, Spark, or MLlib.
  • Engineering development experience using Java, C, C++, C#, or Scala.
  • Understanding and experience with DevOps or MLOps in software engineering.
  • Experience analyzing manufacturing data using statistical methods for forecasting, classification, or anomaly detection.
  • Experience implementing machine learning models for manufacturing data analysis, including natural language processing, time-series analysis, or image processing.
  • Experience with agile or Scrum development.
  • Experience using Git or Azure DevOps.
  • Microsoft certifications such as Fabric Analytics Engineer Associate, Fabric Data Engineer Associate, Azure AI Fundamentals, Azure Data Scientist Associate, or Azure AI Engineer Associate.
  • Data Scientist Examination Literacy Level or G-Test certification.
  • Presales experience in the data solutions domain.
  • Business-level English proficiency.

About the Company

Avanade

Digital transformation, cloud, and IT consulting.

Avanade helps large organizations move to digital operations using Microsoft-based solutions. It combines consulting, implementation, and managed services to deliver digital transformation, cloud migration, and optimized business processes. Its offerings are built around the Microsoft ecosystem, with partnerships with Microsoft and Accenture enabling tailored, enterprise-grade deployments. Avanade differentiates itself by aligning technology delivery with business outcomes for enterprise and public sector clients, focusing on long-term service contracts and customized design-led experiences. The company's goal is to drive efficiency, improve customer experiences, and support sustainable growth for clients through technology-enabled transformation.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2000

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