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Sr. Data Scientist

Sr. Data Scientist

ConfidentialPune, Ahmedabad
30+ days ago
Job description

Must have skills required :

Pyspark, Python, Databricks, MLFlow, Pytorch, TensorFlow

Good to have skills :

AWS Sagemaker, Azure ML, Healthcare Industry, MosaicML

Inferenz (One of Uplers' Clients) is Looking for :

Sr. Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description

We are looking for an experienced and results-driven Sr. Data Scientist with 5+ years of professional experience to join our data team. You will be responsible for analyzing large datasets, building predictive models, and providing actionable insights that drive strategic decision-making. This is an exciting opportunity to make a real impact by applying machine learning, statistical analysis, and business intelligence in a fast-paced environment.

Responsibilities :

  • Extract insights & build models to understand / predict Key metrices
  • Work closely with stakeholders to identify business challenges and translate them into data science problems.
  • Collect, clean, and preprocess structured and unstructured data from various sources.
  • Focuses on Research Analysis, model development.
  • Building models (regression, classification, clustering. Etc.) validate and deploy machine learning models to solve real-world business problems.
  • Perform statistical analysis and generate data-driven insights and recommendations.
  • Collaborate with engineering and product teams to implement data solutions.
  • Automate monitoring model performance and retraining.

Requirements :

  • Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience in a data science or machine learning role.
  • Strong Python (PySpark, pandas, scikit-learn, TensorFlow / PyTorch).
  • Hands-on with MLflow for model tracking & deployment.
  • Expertise in Databricks for scalable ML workflows.
  • Expertise in handling data issues including data gaps, duplicates, data drifts etc.
  • Strong SQL skills and experience working with large databases.
  • Solid understanding of statistical modelling, A / B testing, and predictive analytics.
  • Strong grasp of supervised / unsupervised learning, deep learning, and optimization techniques.
  • Experience with A / B testing and model performance monitoring.
  • Experience with cloud platforms (AWS, GCP, or Azure) and working knowledge of MLOps is a plus.
  • Excellent problem-solving skills, communication skills, and attention to detail.
  • Experience deploying models to production using CI / CD pipelines.
  • Preferred Skills (Good to Have)

    MosaicML / Azure ML / AWS Sagemaker experience is plus. Healthcare Industry-specific experience.

    Healthcare Industry-specific experience.

    Skills Required

    Testing, Databricks, Sql, Communication Skills, Aws

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