Overview
Job Requirements: Collect, clean, and preprocess structured and unstructured data from multiple sources Perform exploratory data analysis (EDA) to identify trends and patterns Develop, validate, and deploy machine learning and predictive models Design and implement data pipelines and automation workflows Translate business problems into analytical solutions Collaborate with cross-functional teams including engineering, product, operations, and leadership Communicate findings through reports, dashboards, and data visualizations Monitor model performance and continuously improve algorithms Ensure data integrity, quality, security, and governance compliance Requirements Qualifications & Skills Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field 2+ years of experience in data analysis, machine learning, or related role Stron
Full job description
Description
Full Job Description
Job Requirements:
- Collect, clean, and preprocess structured and unstructured data from multiple sources
- Perform exploratory data analysis (EDA) to identify trends and patterns
- Develop, validate, and deploy machine learning and predictive models
- Design and implement data pipelines and automation workflows
- Translate business problems into analytical solutions
- Collaborate with cross-functional teams including engineering, product, operations, and leadership
- Communicate findings through reports, dashboards, and data visualizations
- Monitor model performance and continuously improve algorithms
Ensure data integrity, quality, security, and governance compliance
Requirements
Qualifications & Skills
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
- 2+ years of experience in data analysis, machine learning, or related role
- Strong programming skills in Python or R
- Proficiency in SQL and working with relational databases
- Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
- Strong understanding of statistics and probability
- Experience with data visualization tools (Power BI, Tableau, Matplotlib, etc.)
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Knowledge of big data tools such as Spark or Hadoop
- Understanding of MLOps concepts and model deployment processes
- Strong analytical thinking and problem-solving skills
- Excellent communication skills
- Ability to work independently and collaboratively
Benefits
-Social and Medical Insurance
-Learning and Development opportunities
-Annual Profit Share
Qualifications And Requirements
Mid-Senior level
Requirements & qualifications
Mid-Senior level
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