You will be responsible for developing and implementing data science projects analyzing large and complex data sets and driving datadriven decisionmaking across the organization. The ideal candidate will have a strong background in data science machine learning and statistical analysis.
Responsibilities:
Develop and implement data science projects including machine learning models statistical analysis and data visualization
Analyze large and complex data sets to identify trends insights and opportunities
Collaborate with crossfunctional teams to understand data needs and translate them into data science solutions
Ensure data quality and accuracy by implementing data validation testing and monitoring processes
Stay uptodate with the latest data science trends and technologies
Contribute to the development of datadriven solutions and products
Present data science findings and recommendations to stakeholders
Requirements:
2 years of experience in data science with a Masters or PhD degree in a related field
Strong knowledge of machine learning statistical analysis and data visualization tools and technologies
Experience with big data processing frameworks such as Spark or Hadoop
Strong analytical and problemsolving skills with the ability to analyze complex data sets and identify trends and insights
Excellent communication and collaboration skills with the ability to work with crossfunctional teams and stakeholders
Strong data security and privacy knowledge and experience
Experience with agile development methodologies is a plus
data science,machine learning,statistical analysis