Responsibilities:
Identify and analyze complex data sets to extract meaningful insights
Collaborate with cross-functional teams to understand business needs and provide data-driven
solutions
Develop and implement statistical models and machine learning algorithms to solve business
problems
Evaluate and optimize the performance of machine learning models using techniques such as
cross-validation and hyperparameter tuning
Apply natural language processing techniques to extract information from unstructured text data
Communicate findings and insights to both technical and non-technical stakeholders
Continuously improve and innovate on data analysis and modeling techniques to enhance the
accuracy and usefulness of insights
Requirements:
5+ years of proven experience as a Data Scientist
Strong knowledge of statistics and programming languages such as Python or R
Experience with machine learning algorithms such as linear regression, decision trees, and neural
networks
Familiarity with natural language processing techniques such as text classification, sentiment
analysis, and entity recognition
Excellent communication and presentation skills, with the ability to explain complex technical
concepts to non-technical stakeholders
Strong problem-solving skills and the ability to work independently and as part of a team
Bachelor's or master s degree in a related field such as Computer Science, Mathematics, Statistics
or Engineering
Keyskills: sql data analysis machine learning analytics science decision trees python
IRIS SOFTWARE Inc Iris is a professional software services organization offering high-quality, cost-effective solutions to businesses. It has helped meet the IT requirements of companies ranging from those among the Fortune 100 to medium-sized firms by utilizing best-of-breed technologies, rapid...