Be the Subject matter expert in all things Treasure Data Equipped with solid knowledge of our Cloud-based Customer Data platform, you will provide the technical and ML expertise to customers towards a successful, scalable implementation
Help our customers extract the maximum value from their data by building ETL pipelines, deploying ML models and applying Data Science methods that will allow business users to get valuable insights and solve complex real-world business problems
Ensure ML solutions and ETL pipelines are scalable, efficient, well-documented and easily customizable to different types of data and business use cases
Guide customers and prospects in best-practices for implementation and architecture of their ML-driven use cases on the Treasure Data platform
Help research latest technologies and DS methods for building cutting-edge ML solutions and work with our ML team on developing and productizing new solutions
10-15 % travel is may be required as part of this job
Your Background And Skills Will Include
University Degree in a quantitative discipline - Math, Physics, Statistics, Engineering, or Computer Science
Deep knowledge and 5+ years of hands-on experience in both SQL and Python, working with Big Data and understanding the limitations and computational efficiency of different SQL/Python functions, methods and data structures
Comfortable working on team projects and collaborating via version control tools such as GitHub and GitLab
Solid understanding of data pre-processing and Machine Learning libraries such as Numpy, Pandas, Scikit-learn, TensorFlow, and Keras
A strong background in data & technology and an extensive track record (3-5 years or more) of successful implementations of Customer focused solutions Good understanding of Marketing Analytics and the Martech/Adtech Industry a plus
Have strong customer communication and presentation skills as well as the ability to dive into technical topics and know-how, to successfully work as a trusted advisor to ensure the success of prospects and customers
Engagement with developers, business analysts, and IT confidently and succinctly and understand how they want to work with data
When it comes to delivering disruptive solutions to age-old problems, you are the expert This can be demonstrated by a track record of happy, referenceable customers who appreciate your technical acumen and your diligence This is a hands-on role – be ready to jump in and use the product from your first day
We would be thrilled if you
Have an existing portfolio of projects that demonstrate your ability to successfully apply ML and Data Science methods to real-world business problems
Have a good understanding of Digital Marketing and Marketing Technologies
Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Apache Spark, MongoDB, etc)
Good understanding of AWS tools - S3, Redshift, EC2 instances, Lambda etc
Have experience in Digdag, Fluentd, Hivemall or Embulk
Have wide industry experience across Automotive, retail, media and entertainment, retail, telco/media markets or Ecommerce
