Data Scientist
Schneider Electric
Cavite, 40, PH
1d ago

Job Description

Data Scientist-006VO8

The Professional Services team within Data & Performance works hand in hand with the various entities of Schneider Electric, to :

  • Understand SE entities demands provide guidance, prioritize and orchestrate delivery in the Data & Performance Porfolio based on use case;
  • Deliver Reusable Data Objects that can be leveraged at global and local levels for any BI & Analytics needs;
  • Deploy the Data Franchise program to increase data maturity of all SE entities and operate under one common governance;
  • Within this team, you would work with internal business to define data critical elements, run data quality tasks like data profiling & analyze the results in order to report to business / agile team any findings and ensure global database enhancement.

    Main missions

    1 / Analyze complex datasets from multiple sources

    2 / Compose reports and analysis

    3 / Crunch data to detect potential issues

    4 / Work closely with Analytics Team to ensure our data warehouse fits the business requirements

    5 / Follow-up data quality issue resolution with accountable teams.

    Education :

  • MSC degree in IT Management, Mathematics, Statistics, Management Engineering, Applied Mathematics, Economics, Computer Science, Computer Engineering or Information Systems
  • Master’s degree with a minimum of 2 years of relevant experience (OR Bachelor's degree with a minimum of 5 years of relevant experience) in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
  • Technical Field :

    Good working knowledge of Microsoft Office, especially Excel. Basic knowledge of technical databases (e.g. SQL language, Oracle, Amazon Redshift).

    Knowledge and experience with the following tools is a plus : Alteryx / Tableau / Power BI / / ERP / CRM

    Qualifications (Required) :

  • At least 1 years work experience in Business Analysis, Predictive Analytics and Data Visualization (2 years preferred)
  • Must be familiar with Statistical Analysis, Modeling and machine learning methods (time series analysis, experiment design regression, classification,and clustering, etc.)
  • A strong knowledge of statistics and data analysis with experience in machine learning techniques.
  • SQL experience which includes database design, manipulation, and querying
  • Familiarity with large datasets, understanding of data analysis workflows and frameworks
  • Fluency in a programming language (Python, C, C++, Java, SQL)
  • Proficient with common data science toolkits, such as Alteryx, TensorFlow, Rapid Miner
  • Working knowledge of statistics, machine learning algorithms such as Random Forest, Support Vector Machine, Neural Networks, etc.
  • and / or Natural Language Processing techniques.

  • Experience with visualization software / tools such as Spotfire, Tableau, Power BI, etc.
  • Knowledge in Big Data Platforms such as Hadoop, Spark, Hive, Redshift and NoSQL systems
  • Familiarity with cloud technologies such as AWS, Microsoft Azure, etc.
  • Proven project management skills
  • Excellent communication, presentation, and writing skills to effectively relate technical terms to business terms
  • Strong logical, problem solving, and decision-making skills
  • Qualifications (Preferred) :

  • Implemented projects using Statistical Analysis and / or Advanced Analytics modeling
  • Implemented projects using Big Data Platforms such as Hadoop, Spark, Hive, Redshift and NoSQL systems
  • Alteryx Certification
  • Certified Analytics Professional
  • Experience with software engineering, database administration and cloud technologies
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