Data Scientist
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. Do you have the right skills and experience for this role Read on to find out, and make your application.
Responsibilities:
Analyze raw data: assessing quality, cleansing, structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with engineering team to bring analytical prototypes to production
Generate actionable insights for business improvements
Qualifications:
Bachelor's degree or equivalent experience in quantative 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)
Qualifications:
Bachelor’s or Master’s degree inData Science, Computer Science, Statistics, Mathematics, or related field.
3+ years (mid-level) / 5+ years (senior)experience in data science or analytics roles.
Strong understanding ofmachine learning algorithms and statistical modeling.
Hands-on experience withreal-world datasets and production-level models. xsgimln
Experience working inAgile/Scrum environments.
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