August 5, 2023
- Nimble Gravity is in search of a talented and passionate Data Scientist to join our growing data science team. The selected individual will play a key role in handling, analyzing, and visualizing complex data, collaborating in the creation of innovative solutions that drive our success in the industry. - Additionally, they must participate in meetings with clients, understand and gather requirements, and be able to communicate technical findings to non-technical business people, ensuring that our solutions are relevant and comprehensible. - Responsibilities: • Data Analysis and Processing: Apply advanced statistical techniques and machine learning to analyze, interpret, and visualize large data sets. • Predictive Model Development: Design, build, and deploy predictive models and algorithms that meet business needs, using tools such as Python, SQL, etc. • Communication with Stakeholders: Participate in meetings with clients and internal stakeholders to understand and define business requirements, and communicate technical results in accessible language. • Interdepartmental Collaboration: Work closely with engineering, product, and business teams to implement data-based solutions and improvements. • Optimization and Automation of Processes: Create and maintain efficient and automated data workflows, using cloud technologies like AWS or GCP. • Monitoring and Improvement of Models: Evaluate and monitor model performance, making continuous adjustments and improvements. • Compliance with Regulations: Ensure compliance with regulations and ethical practices related to data handling and processing. • Continuous Learning: Stay up to date with the latest trends and technologies in data science, participating in training and workshops as necessary. • Documentation and Reporting: Create detailed technical documentation and reports that facilitate understanding and replication of processes and results.
- Experience: At least 2 years of experience working as a Data Scientist or in a related role. - Language: Fluent English, both spoken and written, is essential. - Technical Skills: • Experience with programming languages such as Python. • Experience with SQL and relational databases. • Knowledge in statistical models and machine learning. • Familiarity with cloud technologies like AWS or GCP. • Knowledge in data visualization libraries like Matplotlib, Seaborn, etc. - Soft Skills: • Ability to work autonomously and in a team. • Excellent communication and presentation skills. • Critical thinking and problem-solving abilities.
- Opportunity to work remotely. - Competitive salary and benefits package. - Dynamic work environment and continuous learning culture. - Education and Wellness Program.
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