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Zemoso Technologies - Data Analyst/Machine Learning Engineer - Statistical Modeling
Zemoso Technologies - Data Analyst/Machine Learning Engineer - Statistical ModelingZemoso Technologies • Mumbai
Zemoso Technologies - Data Analyst / Machine Learning Engineer - Statistical Modeling

Zemoso Technologies - Data Analyst / Machine Learning Engineer - Statistical Modeling

Zemoso Technologies • Mumbai
11 days ago
Job description

About the Role :

We are looking for a skilled Data Analyst / ML Engineer to work across data analysis, statistical modeling, and machine learning implementation. This role involves interpreting complex datasets, building ML models, and collaborating with data engineering teams to create actionable business insights.

Key Responsibilities :

1. Data Analysis & Exploration

  • Collect, clean, transform, and analyze structured and unstructured data.
  • Perform exploratory data analysis (EDA) to identify trends, anomalies, and insights.
  • Use Excel and analytical tools to handle large datasets.

2. Statistical Analysis & ML Model Development :

  • Apply statistical methods on large datasets to derive patterns and insights.
  • Build, train, validate, and deploy ML models using suitable algorithms.
  • Implement predictive models for business use cases and performance monitoring.
  • 3. Visualization & Business Intelligence :

  • Create dashboards, charts, and visualizations to communicate insights effectively.
  • Convert raw data into actionable recommendations for business teams.
  • Work with cross-functional teams to understand business needs and define data-driven solutions.
  • 4. Collaboration with Data Engineering :

  • Partner with data engineers to design, build, test, and monitor data pipelines.
  • Ensure high-quality data availability for ongoing ML and analytics operations.
  • Basic Qualifications :

  • 4+ years of experience as a Data Analyst or ML Engineer.
  • Strong practical experience in Python programming.
  • Hands-on experience in data analytics using Excel.
  • Experience in statistical modeling of large datasets.
  • Solid understanding of ML models, supervised / unsupervised algorithms, and model evaluation techniques.
  • Nice-to-Have Skills :

  • Experience with a variety of machine learning tools and frameworks.
  • Exposure to deep learning techniques and libraries.
  • Familiarity with cloud-based ML services (AWS, Azure, GCP) is a plus.
  • Benefits :

  • Competitive salary.
  • Hybrid work model.
  • Rapid learning and rich exposure to real-world product environments.
  • Home working setup reimbursement.
  • Health insurance with COVID coverage top-up.
  • (ref : hirist.tech)

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