Phd -Interns, Data Scientist

Company Description

The future. It’s on you. You & Western Digital.

We’ve been storing the world’s data for more than 50 years. Once, it was the most important thing we could do for data. Now we’re helping the world capture, preserve, access and transform data in a way only we can.

The most game-changing companies, consumers, professionals, and governments come to us for the technologies and solutions they need to capture, preserve, access, and transform their data.

But we can’t do it alone. Today’s exceptional data challenges require your exceptional skills. It’s You & Us. Together, we’re the next big thing in data. 
 
Western Digital® data-centric solutions are found under the G-Technology™, HGST, SanDisk®, Tegile™, Upthere™, and WD® brands.

Job Description

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Develop data science solutions using Python and deep learning frameworks like Tensorflow and PyTorch
• Perform fast-paced analytical and data mining tasks to investigate all facets of a business problem
• Work alongside domain experts and get relevant knowledge about the core engg process involved in HDD design and manufacturing
• Create high quality presentations to communicate technical output to senior stakeholders
• You'll be part of a niche team embedded in factory operations working to optimize manufacturing processes for lower cost and higher revenue
• Deliver on cutting-edge data science algorithms and cloud architecture for production deployment
• Work with cross functional teams to develop ML capabilities in HDD products
• Self-motivated to work both unsupervised and as part of an agile team. Collaborate to develop self and others within group.
• Participate in planning and coordinating significant technical investigations from problem statement to conclusions.

Qualifications

Required PhD in CS, CE, EE, EC or equivalent required. Candidates from interdisciplinary streams using deep learning in their research work are also encouraged to apply.

• Solid experience with data wrangling in Python (Pandas/NumPy). Experience with unstructured data and efficient data pipelines
• Solid experience with ML algorithms for regression and classification
• Must have hands-on development experience with ConvNet (CNN) and/or Recurrent Nets (RNN) for solving real-world problems
• Must have experience with applying at least one advanced DL concepts such as Reinforcement Learning, Meta/Representation learning, GANs, Manifold learning, Probabilistic Graph Models
• Demonstrated ability to rapidly learn new technologies, complex code and developing system, architecture view.

• Strong aptitude and penchant for problem solving, algorithm design and complexity analysis skills.
• You are comfortable and enjoy working with dynamic and ever evolving environments.
• Technical mindset with great attention to detail and an ever positive, can-do attitude.
• Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems.
• You have excellent interpersonal skills, including written and verbal communication and are an effective collaborator.
• You'll be a fun and enthusiastic teammate who enjoys a challenge and celebrates success.

Preferred

• Familiarity with micro-controller architecture (ARM or ARC), embedded systems.
• Previous RTOS experience. (e.g. uCOS/ThreadX/MQX/VxWorks/Embedded Linux)