Tulip Groupe IT Jobs in Accra
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The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Analyse raw data: assessing quality, cleansing, and structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with the engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
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Qualifications
- Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 1 - 2 years of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, C, C++, Java, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
1. Patiently scroll down and read the job description below.
2. Scroll down and find how to apply or mode of application for this job after the job description.
3. Carefully follow the instructions on how to apply.
4. Always apply for a job by attaching CV with a Cover Letter / Application Letter.
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
- Analyse raw data: assessing quality, cleansing, and structuring for downstream processing
- Design accurate and scalable prediction algorithms
- Collaborate with the engineering team to bring analytical prototypes to production
- Generate actionable insights for business improvements
ADVERTISEMENT - CONTINUE READING BELOW
Qualifications
- Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
- At least 1 - 2 years of experience in quantitative analytics or data modeling
- Deep understanding of predictive modeling, machine learning, clustering and classification techniques, and algorithms
- Fluency in a programming language (Python, C, C++, Java, SQL)
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
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