Job Description

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\xe2\x80\x99s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field.Preferred Experience: 7+ years of relevant experience.Work Model - HybridLocation - Hazira ,Surat GujaratResponsibilities:Data Analysis and Modelling:Analyse 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 analytic 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.

TecQubes Technologies