As a Data Scientist, you’ll be integral in finding patterns and extracting valuable insights from large amounts of raw data.
Ikasi.ai is an innovative technology company specializing in artificial intelligence solutions. We are committed to building advanced AI technologies to solve real-world problems, streamline processes, and enhance the user experience in various industries.
Job Summary
As a Data Scientist, you’ll be integral in extracting valuable insights from large amounts of raw data, finding patterns, and extracting valuable business insights, and will:
Role Overview
- Algorithm Development:
- Design and implement advanced data models and algorithms.
- Perform statistical analysis and predictive modeling to support various business needs.
- Continuously improve existing models based on evolving data sets and business requirements.
- Data Analysis & Insights:
- Conduct comprehensive data analysis to extract actionable insights.
- Develop and maintain dashboards and reports for internal teams, especially for sales and operations.
- Effectively communicate complex data concepts and insights to non-technical stakeholders.
- Collaborate with different teams (Sales, Engineering, Operations) to integrate data science into business processes.
- Use data insights to drive sales strategies.
- Analyze customer data to inform sales and marketing strategies.
- Leverage data insights in client pitches and presentations.
- Educate the sales team on leveraging data tools and insights.
- Operational Support:
- Work closely with the Data Operations team to ensure the smooth deployment of models.
- Provide existing client support in the execution of campaigns and ad-hoc enhancements.
- Monitor the performance of data science applications in production, making adjustments as necessary.
Minimum Qualifications
- Experience as a data scientist or data analyst
- 2+ years with Data mining
- A clear understanding of machine learning and operations research
- Exceptional technical writing skills
- The ability to communicate complex data in a simple, actionable way
- Excellent attention to detail
Preferred Qualifications
- Proficiency in data science languages such as Python or R.
- Experience with SQL and database management.
- Familiarity with machine learning frameworks and statistical analysis methods.
- Experience in developing and deploying machine learning models.
- Competitive salary and equity options.
- Comprehensive health, dental, and vision insurance.
- Flexible working hours and remote work options.
- A dynamic and supportive work environment.
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Interested? Please send your cover letter, resume, and LinkedIn profile as well aswhy you want to join our team .
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