Junior Data Scientist / ML developer

About NetApp

NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people.

If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. We embrace diversity and openness because it's in our DNA. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond.

"At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization."-George Kurian, CEO

Job Summary

We are looking for a talented Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms. You will work closely with the team to solve complex problems and drive business decisions using data. This role requires strategic thinking, problem-solving skills, and a passion for data.

Job Requirements

Responsibilities

• Analyse large, complex datasets to extract insights and determine appropriate techniques to use.
• Build predictive models, machine learning algorithms and conduct A/B tests to assess the effectiveness of models.
• Present information using data visualization techniques.
• Collaborate with different teams (e.g., product development, marketing) and stakeholders to understand business needs and devise possible solutions.
• Stay updated with the latest technology trends in data science.
• Develop and implement real-time machine learning models for various projects.
• Engage with clients and consultants to gather and understand project requirements and expectations.
• Write well-structured, detailed, and compute-efficient code in Python to facilitate data analysis and model development.
• Utilize IDEs such as Jupyter Notebook, Spyder, and PyCharm for coding and model development.
• Apply agile methodology in project execution, participating in sprints, stand-ups, and retrospectives to enhance team collaboration and efficiency.
• Engage stakeholders to present findings and insights.
  
  
  

Skill Requirements

• Proficiency in scripting languages like Python and R.
• Experience with SQL and familiarity with databases like Snowflake and Oracle.
• Experience with data visualization tools like Tableau or PowerBI.
• Solid understanding of mathematics, statistics, algorithms, and hands-on experience with machine learning/statistical techniques, including regression, classification, and ensemble methods.
• Excellent problem-solving skills and the ability to manage multiple tasks.
• Familiarity with cloud services like AWS, Google Cloud, and Azure.
• Proficiency in relational data modeling.
• Familiarity with version control systems like Git.
• Proficiency in MS Excel.
• Knowledge of machine learning frameworks like TensorFlow and PyTorch.
• Exposure to big data platforms like Hadoop and Spark.
• Strong communication skills to effectively collaborate with teams and explain complex results to non-technical stakeholders.
• Detail-oriented mindset with a passion for accuracy.
• Experience in training, fine-tuning, and deploying open-source LLMs.
• Familiarity with LangChain, RAG, and Vector DBs.
• Familiarity with LLM models like GPT-4, BERT, etc.
• Experience with DataRobot, Azure ML Studio, or other automated machine learning platforms.
  
  
  

Education

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

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.

Did you know...

Statistics show women apply to jobs only when they're 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you.

Why NetApp?

We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.

If you want to help us build knowledge and solve big problems, let's talk.