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Qatar -Senior Data Scientist


K20s - Kinetic Technologies


Location

Mumbai | India


Job description

*Responsibilities:*

1. *Data Analysis and Modeling:*

- Lead the development and implementation of advanced machine learning models and algorithms.

- Perform in-depth analysis on large and complex datasets to derive actionable insights.

2. *Collaboration and Leadership:*

- Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.

- Mentor junior team members and provide technical leadership in data science initiatives.

3. *Model Evaluation and Optimization:*

- Evaluate model performance, identify areas for improvement, and implement optimizations.

- Stay abreast of industry trends and incorporate best practices into the data science workflow.

4. *Data Visualization and Communication:*

- Present findings and insights to both technical and non-technical stakeholders.

- Develop intuitive data visualizations to effectively communicate complex concepts.

5. *Data Quality and Governance:*

- Ensure data quality and integrity throughout the data science process.

- Adhere to data governance policies and industry standards.

*Additional Requirements:*

6. *Project Management:*

- Oversee end-to-end data science projects, ensuring timely delivery and meeting business objectives.

- Coordinate with project stakeholders and prioritize tasks to meet project timelines.

7. *Continuous Learning:*

- Stay updated on the latest advancements in data science and technology.

- Encourage a culture of continuous learning within the data science team.

8. *Collaborative Innovation:*

- Collaborate with other data scientists, analysts, and stakeholders to foster innovation and creative problem-solving.

*Qualifications:*

- Masters or Ph.D. in a quantitative field such as Computer Science, Statistics, or a related discipline.

- Proven experience as a Senior Data Scientist, demonstrating successful completion of complex data science projects.

- Expertise in machine learning, statistical modeling, and data analysis techniques.

- Proficiency in programming languages such as Python or R.

- Strong leadership and communication skills.

*Preferred Skills:*

- Experience with big data technologies (e.g., Hadoop, Spark).

- Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch).

- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).


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