Data Scientist - Bengaluru, India - Kaapro Management Solutions

Kaapro Management Solutions
Kaapro Management Solutions
Verified Company
Bengaluru, India

1 week ago

Deepika Kaur

Posted by:

Deepika Kaur

beBee Recuiter
Description
Opening: 2 Nos


  • Job ID:

Employment Type:

Full Time- Reference:
Work Experience: 7.0 Year(s)

To 8.0 Year(s)- CTC Salary: 15.00 LPA TO 20.

00 LPA- Function: IT Software - Client Server- Industry: IT-Software/Software Services- Location:


  • Bengaluru/bangalore
Posted On: 08th May, 2023

**- Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy. Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions. Research and stay abreast of state-of-the-art machine learning technologies. Follow code standards and best practices.

  • 78 years' experience in data science or 3 years direct experience building forecasting solution. Familiar with forecasting algorithms, such as Time Series (Arima, Prophet), ML (GLM, XgBoost), Hierarchical model (Top Down, Bottom Up), DL (Seq2Seq, Transformer), and Ensemble methods. Handson experience with building endtoend ML models and pipelines.
  • Experience with Git, Bitbucket, Airflow, MLflow, Kubeflow, GCP Vertex AI, Databricks or equivalents. Experience & Knowledge of largescale data processing and distributed systems such as Hadoop and SPARK.
  • Strong coding skills in Python, Spark and SQL.

EXPERTISE AND QUALIFICATIONS Technical Skills:

  • Machine Learning/Time series, SQL, Python Experience in working with large volume data and Hadoop /Pyspark environment is mandatory.

Preferred Qualifications:


  • Bachelor's degree in computer science, Data Science, Mathematics, or related technical field. Master/ PhD degree in Computer Science, Software Engineering, Mathematics, or related field

Key Skills:


  • Git
  • Bitbucket
  • Airflow
  • Mlflow
  • Kubeflow
  • Gcp Vertex Ai

Company Profile:

reliable technology solutions provider focusing on Enterprise Digital Transformation for Software and Service.
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