Overview
The role of Data Sciences Python requires expertise in applying advanced analytical techniques to complex data sets in order to generate actionable insights for the organization. This position plays a crucial role in developing and implementing machine learning models AI algorithms and data visualization techniques to support business decisionmaking processes.
Key responsibilities
- Develop and deploy machine learning models using Python for various applications such as Gen AI AI/ML data visualization and business analytics
- Conduct exploratory data analysis to identify patterns correlations and trends in large complex data sets
- Create and maintain scalable data pipelines and data processing systems
- Collaborate with crossfunctional teams to understand business requirements and translate them into analytical solutions
- Design and implement data visualization dashboards to effectively communicate insights to stakeholders
- Perform statistical analysis and hypothesis testing to drive datadriven decision making
- Apply advanced algorithms and data science techniques to solve complex business problems
- Conduct research and stay abreast of the latest developments in AI/ML and data sciences
- Optimize and finetune machine learning models for performance and scalability
- Present findings and recommendations to key stakeholders in a clear and concise manner
Required qualifications
- Bachelors or Masters degree in Computer Science Data Science Statistics or related field
- Proven experience in developing machine learning models and AI algorithms using Python
- Expertise in data visualization tools such as Tableau Power BI or similar platforms
- Familiarity with business analytics and the ability to translate data insights into strategic recommendations
- Strong understanding of advanced statistical methods and their application in data analysis
- Proficiency in programming languages such as Python R or Java
- Experience in working with largescale complex data sets and databases
- Ability to work in a fastpaced dynamic environment and manage multiple priorities
- Excellent communication and presentation skills to effectively convey complex findings to nontechnical stakeholders
- Keen attention to detail and the ability to ensure data accuracy and integrity
- Certifications in data science machine learning or related fields would be a plus
- Strong problemsolving and criticalthinking abilities
- Ability to work both independently and collaboratively within a team environment
- Familiarity with cloud platforms such as AWS GCP or Azure is a plus
- Strong organizational and project management skills
python,data visualization,business analytics,data science