Data Scientist

4 weeks ago


Surat, Gujarat, India TecQubes Technologies Full time
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.

Key Responsibilities:

• 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 scikit-learn libraries along with Image analysis.
• Enhancing data collection procedures to include information that is relevant for building analytic systems.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• 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.

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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