Data Scientist with Machine Learning Expertise
1 week ago
Job Title: Data Analyst with Machine Learning
This role is ideal for someone who enjoys working with data and has a passion for leveraging cloud technologies to drive business insights and solutions.
Education: Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.
Preferred Experience: 7 years of relevant experience.
Work Model: Hybrid
Responsibilities:
Data Analysis and Modelling:
- Analyze large datasets to identify trends and insights.
- Develop predictive models using machine learning algorithms.
- Design experiments and analyze results to measure the impact of product changes.
- Work closely with software engineers to integrate data science solutions into products.
- Create visualizations to communicate findings to stakeholders.
- Present complex data insights in a clear and concise manner.
Technical Skills:
- Excellent programming skills with Python. Experience and knowledge of deep learning frameworks such as TensorFlow, PyTorch, matplotlib, numpy, and scikitlearn libraries along with Image analysis.
- Enhancing data collection procedures to include information that is relevant for building analytics systems.
- Processing, cleansing, and verifying the integrity of data used for analysis.
- Doing ad-hoc analysis and presenting results in a clear manner.
- Creating automated anomaly detection systems and constant tracking of its performance.
- Design, develop, and implement scalable machine learning solutions leveraging deep learning and graph databases.
- Strong communication and presentation skills and experience with working in a cross-geo setup.
- Strong background in machine learning and data analysis.
- Experience with big data technologies like Hadoop, Spark, and NoSQL databases.
- Experience in designing and integrating RESTful APIs.
- Experience with DevOps tools and practices.
- Excellent debugging and optimization skills.
- Experience in unit/integration testing.
- Excellent problem-solving and analytical skills.
- Work closely with software engineers to integrate data science solutions into products.
- Visualization and Communication.
- Create visualizations to communicate findings to stakeholders.
- Present complex data insights in a clear and concise manner.
Collaboration and Mentorship:
- Collaborate with cross-functional teams to ensure successful project implementation.
- Mentor junior team members and provide technical guidance.
Continuous Improvement:
- Research new technologies and techniques to improve existing processes.
- Monitor the performance of models in production and suggest improvements.
Soft Skills:
- Excellent communication and problem-solving skills.
- Ability to work independently and collaboratively.
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