Data Science (Lead Analyst) 3.5 7yrs
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Job Location:
Monthly Salary:
Posted on:
23 hours ago
Vacancies:
1 Vacancy
Job Summary
Summary:
Responsibilities:
- Design develop and deploy deep learning models tailored for time series forecasting and analysis.
- Lead end-to-end model lifecycle managementfrom data preprocessing and experimentation to production deployment and monitoring.
- Collaborate with cross-functional teams to translate business challenges into scalable data science solutions.
- Optimize model performance using distributed computing frameworks and cloud platforms (AWS preferred).
- Work with large-scale datasets using tools such as EMR and Snowflake to ensure efficient data processing and analysis.
- Maintain and enhance ML pipelines ensuring reliability scalability and reproducibility.
- Communicate technical findings and strategic recommendations clearly to both technical and non-technical stakeholders.
- Stay ahead of emerging trends in machine learning and data science to drive continuous innovation.
Requirements
- 3.5 to 7 years of hands-on experience in data science or machine learning roles.
- Demonstrable experience in building and deploying deep learning models for time series data.
- Proficient in Python and SQL; experience with ML frameworks such as TensorFlow/Keras PyTorch/NeuralForecast or aeon.
- Solid experience with cloud platforms (AWS) and distributed computing environments.
- Proven track record working with large datasets using EMR and/or Snowflake.
- Strong understanding of model deployment practices and production-grade ML systems.
- Excellent communication and stakeholder management skills with the ability to influence across levels.
- Bachelors degree in Computer Science & Engineering or a related technical field.
Required Skills:
Requirements: 3.5 to 7 years of hands-on experience in data science or machine learning roles. Demonstrable experience in building and deploying deep learning models for time series data. Proficient in Python and SQL; experience with ML frameworks such as TensorFlow/Keras PyTorch/NeuralForecast or aeon. Solid experience with cloud platforms (AWS) and distributed computing environments. Proven track record working with large datasets using EMR and/or Snowflake. Strong understanding of model deployment practices and production-grade ML systems. Excellent communication and stakeholder management skills with the ability to influence across levels. Bachelors degree in Computer Science & Engineering or a related technical field.
Required Education:
any graduate or post graduate
Company Industry
IT Services and IT Consulting
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
