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Senior Data Scientist

Senior Data Scientist

InfoCepts

5 years

0 Lacs

pune maharashtra india

Posted:10 hours ago| Platform:

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Skills Required

data model development learning regression forecasting python engineering analysis evaluation reporting metrics reports deployment support numpy preprocessing sql querying aws gcp azure git spark tensorflow pytorch pyspark databricks analytics mathematics statistics communication collaboration adaptability

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role:

Key Result Areas and Activities:

Model Development & Analysis:
Develop machine learning models for classification, regression, and forecasting tasks using Python and relevant libraries.

Data Preparation & Feature Engineering:
Clean, transform, and prepare structured and unstructured data for modeling and analysis.

Business Collaboration:
Work with business stakeholders to understand requirements and translate them into data science solutions.

Model Evaluation & Reporting:
Evaluate model performance using appropriate metrics and present findings through visualizations and reports.

Deployment Support:
Collaborate with engineering and MLOps teams to support model deployment and monitor performance in production.

Work and Technical Experience

Must Have Skills

Proficiency in Python and data science libraries (e.g., Pandas, NumPy, Scikit-learn).
Experience with machine learning techniques and model development.
Knowledge of data preprocessing, feature engineering, and model evaluation.
Familiarity with SQL and data querying.
Exposure to cloud platforms (AWS/GCP/Azure) and version control (Git).
Ability to work with large datasets and distributed computing frameworks (e.g., Spark).
Strong problem-solving and analytical thinking.

Good To Have Skill

Experience with deep learning frameworks (TensorFlow, PyTorch).
Knowledge of PySpark or Databricks.
Understanding of MLOps practices and CI/CD pipelines.
Exposure to GenAI or LLM-based applications.
Experience in supply chain, operations, or financial analytics domains.

Qualification:

Experience:
3–5 years of experience in data science, machine learning, or analytics roles.
Education:
Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Master’s degree is a plus.

Qualities:

Curiosity and eagerness to learn new technologies.
Strong communication and collaboration skills.
Attention to detail and commitment to quality.
Ability to work independently and in teams.
Adaptability in fast-paced environments.

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