Data Scientist

2 weeks ago

Singapore beBeeDataScientist Full time $80,000 - $120,000
SAS Data Scientist

We are seeking an experienced data scientist to lead our data analysis and reporting efforts. As a key member of our team, you will be responsible for developing, modifying, and optimizing SAS programs for data analysis, reporting, and visualization.

Key Responsibilities:

  • Data Analysis and Reporting: Develop, modify, and optimize SAS programs for data analysis, reporting, and visualization.
  • ETL Data Integration: Extract, transform, and load (ETL) data from multiple sources into SAS environments.
  • Statistical Analysis and Machine Learning: Conduct statistical analysis, predictive modeling, and machine learning using SAS.
  • Collaboration and Solution-Driven Approach: Collaborate with business teams to understand requirements and provide data-driven solutions.
  • Dashboards and Reports Development: Develop and maintain SAS-based dashboards and reports.
  • Data Quality and Compliance: Ensure data quality, accuracy, and compliance with organizational standards.
  • Process Optimization: Optimize SAS processes for improved efficiency and performance.
  • Training and Support: Provide support and training to teams on SAS best practices and analytics.

Required Skills & Qualifications:

  • Educational Background: Bachelor's/Master's degree in Statistics, Computer Science, Data Science, Mathematics, or a related field.
  • SAS Programming Experience: Hands-on experience in SAS programming (SAS Visual Investigator, SAS Macros, SAS SQL, SAS Enterprise Guide, SAS Viya 3.5 with SAS Studio, SAS Data Integration Studio, SAS 9 Programming).
  • Data Manipulation and Validation: Strong expertise in data manipulation, cleansing, and validation.
  • Statistical Modeling and Machine Learning: Experience with statistical modeling, regression analysis, and machine learning in SAS.
  • Database Management Systems: Familiarity with database management systems (SQL, Oracle, Teradata, Hadoop, etc.).
  • Complex Data Analysis: Ability to analyze complex datasets and provide actionable insights.
  • BI Tools Experience: Experience with BI tools (Tableau, Power BI, or SAS Visual Analytics) is a plus.
  • Problem-Solving and Communication Skills: Strong problem-solving, analytical, and communication skills.

PREFERRED QUALIFICATIONS:

  • SAS Certifications: SAS certifications (e.g., SAS Certified Advanced Programmer, SAS Data Scientist, etc.).
  • Industry Experience: Experience in financial services, healthcare, retail, or other data-driven industries.

Tell employers about your relevant experience and qualifications.

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