Data Science Engineer, SMAI

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Our vision is to transform how the world uses information to enrich life for all.

Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.

JR21400 Data Science Engineer, SMAI

Responsibilities and Duties include, but not limited to:

Broad knowledge and experience in:

• Strong desire to grow career as Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets. 
• Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
• Understanding of Big Data Engineering/processing, Business Intelligence and Advanced analytics
• Knowledge in Cloud based data engineering and Machine Learning Model
• Knowledge in building APIs for application integration.
• Knowledge in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning.
• Strong software development skills.
• Strong UI/UX design skills
• Strong knowledge in Web Technologies
• Experience with various frameworks and processes, such as Agile
• Data Analysis and Validation skills

Above average skills in:

• Programming Fluency in Python and/or R
• Expertise in Angular, Javascript and CSS
• Knowledge in Data Science, Machine learning and other advanced analytical methods
• Knowledge in javascript, AngularJS 2.0, is MUST.
• Knowledge in Dotnet and C# is added advantage.
• Optional : Knowledge in Hadoop stack (Hive, HDFS, HBase and Spark)
• Optional: Understanding of pySpark and/or SparkR and/or SparklyR
• Optional: Knowledge in Tensorflow, and/or other statistical software including scripting capability for automating analyses
• Optional: Experience working with time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus
• Experience working with Manufacturing Execution Systems (MES) is a plus

Demonstrated ability to:

• Work in a dynamic, fast-paced, work environment
• Self-motivated with the ability to work under minimal direction
• To adapt to new technologies and learn quickly
• A passion for data and information with strong analytical, problem solving, and organizational skills
• Work in multi-functional groups, with diverse interests and requirements, to a common objective
• Communicate very well with distributed teams (written, verbal and presentation)