NetApp Junior Data Scientist / ML developer 

India, Karnataka, Bengaluru 

555267084

Responsibilities
1. Analyse large, complex datasets to extract insights and determine appropriate techniques to use.
2. Build predictive models, machine learning algorithms and conduct A/B tests to assess the effectiveness of models.
3. Present information using data visualization techniques.5. Stay updated with the latest technology trends in data science.
6. Develop and implement real-time machine learning models for various projects.
7. Engage with clients and consultants to gather and understand project requirements and expectations.
8. Write well-structured, detailed, and compute-efficient code in Python to facilitate data analysis and model development.
9. Utilize IDEs such as Jupyter Notebook, Spyder, and PyCharm for coding and model development.11. Engage stakeholders to present findings and insights.
Skill Requirements
1. Proficiency in scripting languages like Python and R.
2. Experience with SQL and familiarity with databases like Snowflake and Oracle.
3. Experience with data visualization tools like Tableau or PowerBI.
4. Solid understanding of mathematics, statistics, algorithms, and hands-on experience with machine learning/statistical techniques, including regression, classification, and ensemble methods.
5. Excellent problem-solving skills and the ability to manage multiple tasks.
6. Familiarity with cloud services like AWS, Google Cloud, and Azure.
7. Proficiency in relational data modeling.
8. Familiarity with version control systems like Git.
9. Proficiency in MS Excel.
10. Knowledge of machine learning frameworks like TensorFlow and PyTorch.
11. Exposure to big data platforms like Hadoop and Spark.13. Detail-oriented mindset with a passion for accuracy.
14. Experience in training, fine-tuning, and deploying open-source LLMs.
15. Familiarity with LangChain, RAG, and Vector DBs.
16. Familiarity with LLM models like GPT-4, BERT, etc.
17. Experience with DataRobot, Azure ML Studio, or other automated machine learning platforms.

1. Bachelor's degree in computer science, Mathematics, Statistics, or a related field.
2. 1-2 years of experience in data analysis or data science-related field.
3. Overall experience of 3-5 years in data science or a related field.