Leading Data Scientist

2 days ago

Noida, Uttar Pradesh, India beBeeDataScientist Full time ₹ 21,84,000 - ₹ 26,12,000

We are seeking a Data Science Engineer to design, build and optimize scalable data and machine learning systems.

Key responsibilities:

  • Design, implement and maintain data science pipelines from data ingestion to model deployment.
  • Collaborate with data scientists to operationalize ML models and algorithms in production environments.
  • Develop robust APIs and services for ML model inference and integration.
  • Build and optimize large-scale data processing systems using Spark, Pandas or similar tools.
  • Ensure data quality and pipeline reliability through rigorous testing, validation and monitoring.
  • Work with cloud infrastructure (AWS) for scalable ML deployment.
  • Manage model versioning, feature engineering workflows and experiment tracking.
  • Optimize performance of models and pipelines for latency, cost and throughput.

Required skills and qualifications:

Education

Bachelor's or Master's degree in Computer Science, Data Science, Engineering or a related field.

  • 5+ years of experience in a data science, ML engineering or software engineering role.
  • Proficiency in Python (preferred) and SQL; knowledge of Java, Scala or C++ is a plus.
  • Experience with data science libraries like Scikit-learn, XGBoost, TensorFlow or PyTorch.
  • Familiarity with ML deployment tools such as ML flow, Sage Maker or Vertex AI.
  • Solid understanding of data structures, algorithms and software engineering best practices.
  • Experience working with databases (SQL, NoSQL) and data lakes (e.g., Delta Lake, Big Query).
Preferred Qualifications
  • Experience with containerization and orchestration (Docker, Kubernetes).
  • Experience working in Agile or cross-functional teams.
  • Familiarity with streaming data platforms (Kafka, Spark Streaming, Flink).
Soft Skills
  • Strong communication skills to bridge technical and business teams.
  • Excellent problem-solving and analytical thinking.
  • Self-motivated and capable of working independently or within a team.
  • Passion for data and a curiosity-driven mindset.

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