Company

Accenture

Released at

2023-Jan-30

Close at

2023-Mar-31

Job Type

FULLTIME

Salary

SGD 8000 per MONTH

Location

, , Singapore

Company Description

Our commitment to you With more than 411,000 people serving clients in more than 120 countries, we offer infinite opportunities to progress as fast and as far as you want to go. Training and development is highly personalized, combining multi-disciplinary digital resources, on-the-job experience and education programs. You can upskill rapidly, continuously improve your expertise and stay ahead of the curve. In addition, we offer a highly competitive rewards and benefits package. And, as part of an ethical organization that actively engages corporate citizenship, you can apply your specialist skills to make a difference and help change the way people work and live.

Job Description

  • Analyzes raw information through statistical analysis to discover trends or patterns that can be used for building data products to extract valuable business insights.

  • Synthesizes data and methodologies into actionable business strategies.

  • Enhances data collection procedures for building analytical systems.

  • Uses predictive modeling to increase and optimize customer experiences, revenue generation and other business outcomes.

  • Utilizes machine learning algorithms and models and presents them using data visualization techniques.

Requirements

  • Has strong familiarity with statistical software packages such as R, Python, SAS and Scala as well as different end-to-end data science and advanced analytics tools such as Microsoft Azure Machine Learning.

  • Has an exceptional understanding of the different software utilities for data and computation such as Hadoop, Apache Spark and Impala.

  • Collaborates with the company’s business clients to identify gaps and structure problems as well as to propose solutions and strategies to business challenges.

  • Develops processes and tools to monitor and analyze model performance and data accuracy.

  • Leads trainings and informational sessions on statistics.

  • Min. 6 months - 3 years of relevant experience

  • Strong background in statistical concepts and calculations

  • Experience in handling real data

  • Innovative and strong analytical and algorithmic problem solvers

  • Experience with scripting languages (e.g., Python, Ruby, Perl, Bash) for orchestration and data manipulation and statistical computing tools like R, SAS, and SPSS

  • Data engineering experience, including SQL and experience manipulating structured and unstructured data sources for analysis. Preferred Skills

  • Experience with MapReduce/Hadoop and related technologies (e.g., Pig, Hive, Cascading).

  • Familiarity with Amazon Web Services and Elastic MapReduce a plus.

  • Familiarity with Hadoop based commercial packages (e.g. Cloudera, Hortonworks)

  • Experience in text mining/NLP

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