Key Responsibilities:

- Data Analysis and Interpretation: Analyzing complex datasets to extract meaningful insights and trends.

- Model Development: Building and refining predictive models using machine learning algorithms.

- Data Cleaning and Preprocessing: Ensuring data quality by cleaning and preprocessing raw data.

- Collaboration: Working closely with cross-functional teams, including engineers, product managers, and business analysts, to understand requirements and deliver data-driven solutions.

- Reporting and Visualization: Creating reports and visualizations to communicate findings to stakeholders.

- Communication: Present findings and recommendations to CS and/or clients in a clear, concise, and impactful manner.

- Insights and Recommendation: Provide strategic and tactical recommendations to clients based on data insights.

- Research and Innovation: Staying updated with the latest industry trends and technologies to improve existing models and processes.

- Mentorship: Guiding junior data scientists and providing technical support.

Key Qualities:

- Analytical Thinking: Ability to break down complex problems and analyze data to find solutions.

- Technical Proficiency: Strong skills in programming languages like Python or R, and familiarity with machine learning frameworks.

- Attention to Detail: Precision in data analysis and model development to ensure accuracy.

- Communication Skills: Ability to clearly convey technical information to non-technical stakeholders.

- Curiosity and Innovation: A drive to explore new techniques and technologies to improve data processes.

- Problem-Solving: Aptitude for identifying issues and developing effective solutions.

- Team Collaboration: Working well with others and contributing to team goals.

- Adaptability: Flexibility to handle changing project requirements and new challenges.

Qualifications:

- Proven experience of 3 to 5 years in a data science or related role with hands-on experience with data analysis, model development, and deployment.

- Proficiency in Python, R, SQL, and other relevant languages.

- Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).

- Has a bachelors degree in a related field (e.g., Business, Economics, Statistics, Computer Science).

- Adept in presentation and communication skills.