plans, processes and standards of Credit Decision Science (Collections, Recoveries, Account Management)
plans, processes and standards of Credit Decision Science (Collections, Recoveries, Account Management) To Experience 4 years' relevant experience in data science Experience must include the following (within the Data Science Qualifications (Ideal or Preferred) Master's Degree in Mathematics or Data Science Knowledge
Requirements: Sound knowledge in Python and Java Data Science concepts and principles Experience in tools like
career opportunity for a Senior Scientist: Mineral Science position within the Mineralogy Division. The candidate contributions. Minimum: MSc / MEng in Data Science, Computer Science, Engineering (Electronic/electrical) or
ideal candidate will require a background in Life Sciences with a solid understanding of databases including databases such as ENA & NCBI, have knowledge of biological sequence formats such as FASTQ, understand S3-buckets of software applications. REQUIREMENTS: A Life Sciences background. Strong understanding of databases Databases (i.e., ENA, NCBI etc.). Knowledge of biological sequence formats (FASTQ etc.). Understanding
Education (Minimum)
BSc (Computer Science, Information Technology, or similar)
BEng (Electrical Engineering, or similar)
BSc Applied Mathematics
BIT
Skill set
Eng./ BSc. in Electronics Engineering,
g>Requirements:
Qualification:
just of requirements - Education (Minimum) BSc (Computer Science, Information Technology, or similar) BEng BEng (Electrical Engineering, or similar) BSc Applied Mathematics BIT Skill set Go PostgreSQL Vue.js Docker