Sales Engineer, Data Science Solutions

  • Job Reference: 00000031-1
  • Date Posted: 19 April 2024
  • Recruiter: Xpandium Coberon Ltd
  • Location: TX, MN, Central US
  • Salary: On Application
  • Sector: Sales & BD, Enterprise Software, Presales, Sales Engineer, Data Analytics
  • Job Type: Permanent, Full-time, Home-office based, W2

Job Description

Our client is a leader in automating and accelerating the data science workflow. They are building a faster, easier, and smarter way for data science to flow seamlessly from raw idea to real-world impact. This is data science brought to life.

They are looking for a Sales Engineer preferably in TX or MN (home office based) to join the sales team that spearheads the company’s customer engagements delivering our ground-breaking solution.

What You’ll Do

Be the customer’s trusted advisor on how our product can address their needs and recommend the best solution
Own the POC process with prospect customers, leading the project end to end
Lead technical and business discussions addressing comparison to alternative/s and perform a deep dive on solution architecture
Support sales executives; work directly with product management and R&D feeding requirements and priorities
Evangelize the solution and technology

Essential Skills
Coding/scripting experience: Python & SQL
Python or some other scripting language like Node.js, Go, Javascript. object-oriented coding experience and shell scripting
Infrastructure knowledge:
Linux systems
Cloud (AWS/Azure/GCP)
Experience in building solutions with Big Data tools and frameworks, some of:
Spark, Hadoop, Cassandra, Redis, Mongo, Elastic…
ETL like processing in a Big Data environment
S3, RedShift, DynamoDB, Kinesis, EMR, Athena, Lambda
Experience in building complex data processing and/or ML pipelines
Familiar with ML/AI tools & frameworks: Pandas, TensorFlow, Scikit learn, Keras, PyTorch, R
Understanding of Cloud-Native and Cloud Data Services such as - S3, RedShift, DynamoDB, Kinesis, EMR, etc.
Ability to master new domains and technologies, quick learner and great communications skills
Preferred locations: TX, MN