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Data Scientist - Predictive Modeling

Data Scientist - Predictive Modeling

One Degree North HR ServicesHyderabad
6 days ago
Job description

We are seeking a highly skilled and analytical Data Scientist with 5+ years of experience in building and deploying advanced machine learning models and delivering actionable business insights. The ideal candidate will have a strong foundation in statistics, machine learning, and data engineering, and the ability to work with large-scale datasets to solve real-world problems.

Key Responsibilities :

  • Analyze large datasets to extract meaningful insights and develop predictive and prescriptive models using machine learning algorithms.
  • Design, develop, and validate ML models for classification, regression, clustering, and recommendation systems.
  • Perform data wrangling, cleaning, transformation, and feature extraction to prepare datasets for modeling.
  • Work closely with product, engineering, and business teams to understand problems and translate them into data-driven solutions.
  • Create dashboards, reports, and data visualizations to communicate findings clearly and effectively.
  • Deploy models into production environments and monitor performance, retraining when necessary.
  • Stay current with the latest research in AI / ML and apply cutting-edge techniques to business use cases.

Required Skills & Qualifications :

  • 5+ years of experience in data science, machine learning, or advanced analytics.
  • Strong proficiency in Python or R, along with libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, etc.
  • Proficiency in SQL and experience with data querying in relational and non-relational databases.
  • Experience working with big data platforms (e.g., Spark, Hadoop) is a plus.
  • Solid understanding of statistics, probability, and model evaluation techniques.
  • Experience with data visualization tools like Tableau, Power BI, Plotly, or Skills :
  • Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow).
  • Exposure to NLP, deep learning, or time series forecasting.
  • Familiarity with Git, Docker, and CI / CD for model deployment.
  • Prior experience in domains such as finance, retail, healthcare, or telecom is advantageous.
  • ref : hirist.tech)

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