Data Scientist

Job Description:

Hello ,

Greetings from MM Management !! I am krishna kanth from MM Management, MM Management is into global recruitment services providing manpower across the globe.

About company- Company is an adept and reliable technology solutions provider focusing on Enterprise Digital Transformation for Software and Service Innovations and Business Process Management applications. Since our inception in 2000, we have come a long way in serving hundreds of clients across industries and geographies Over the years.

Job type : Full time

Work location: Bangalore

Experience: 7+Years

JOB DESCRIPTION

Key Responsibilities:

• 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.
• 7-8 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. Hands-on experience with building end-to-end ML models and pipelines.
• Experience with Git, Bitbucket, Airflow, MLflow, Kubeflow, GCP Vertex AI, Databricks or equivalents. 
• Experience & Knowledge of large-scale data processing and distributed systems such as Hadoop and SPARK.
• Strong coding skills in Python, Spark and SQL.
• Strong communication and collaboration skills
• Exposure in various statistical modelling, machine learning algorithm/techniques (ML) Experience with optimisations, debugging, fine-tuning existing applications in distributed computing environments for high performance and scalability with Big Data.
• Experience with an agile development environment.
• Exposure in tools/framework to monitor and analyse ML model performance and data accuracy. Technical Skills:
• Time series, SQL, Python Experience in working with large volume data and Pyspark environment
• Experience in working with large volume data and Pyspark environment as mandatory

Must have : Pyspark, Time Series, SQL

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

If interested please fill the details below and revert back with your updated CV on cv@m3consultant.net

1. Total experience
2. How many years of experience do you have as a Data Scientist?
3. How many years of experience do you have in Pyspark?
4. How many years of experience do you have in Time Series?
5. How many years of experience do you have in SQL, Python ?
6. Notice period
7. Current location
8. Current company name
9. Current salary
10. Expected salary