Forward Deployed Data Scientist

About Basetwo

We’re on a mission to make manufacturing more resilient.

Basetwo provides manufacturing engineers with a no code AI platform that helps them troubleshoot and optimize their production processes to increase efficiency and reduce waste. Manufacturing engineers can use the Basetwo platform to:

• improve their understanding of their plant
• make better decisions in real-time
• build robust data transformation pipelines
• ingest and connect siloed databases

The Role

Physics-informed Machine Learning is at the heart of the Basetwo platform, and the founding team is looking to bring on a world-class expert in Machine Learning who will be able to make significant technical contributions from data pipelines all the way up to the intelligence layer.

The Forward Deployed Data Scientist will be responsible for deploying physics-informed machine learning models for heavy industry and manufacturing use cases. Our ideal candidate will partner with our Customer’s subject matter experts (SMEs) to scale ML solutions to solve their specific challenges.

What You'll Do

As a Forward Deployed Data Scientist, you will be responsible for:

• Work directly with manufacturing SMEs to understand their challenges, identify technical requirements and implement ML solutions
• Support SMEs with configuring, training and deploying machine learning models with manufacturing and lab datasets
• Developing custom data transformation, modelling and optimization algorithms based on SME requirements
• Collaborating with cross-functional teams to support product roadmaps for Machine Learning driven solutions based on customer feedback

Requirements

To be successful in this role you will have:

• BS or MS in Computer Science or equivalent
• 3+ years of experience in Machine Learning roles
• Proven skills in RL/ML, with demonstrable research/work related to process control, optimization, simulation, time series and explainable AI.
• Strong communication and problem solving skills, comfortable with delivering technical presentations and seminars
• Significant experience with Python data stack: dataframes (pandas), statistics (statsmodels), database languages (SQL), data visualization tools (e.g., matplotlib), ML tools (sk-learn, pytorch, etc.), and scientific computing (i.e. scipy)

• Experience working with major cloud technologies (AWS, Azure, and GCP)

Benefits

• Extended Healthcare Plan (Medical, Disability, Dental & Vision)
• Work From Home - Flexible hours
• Stock Option Plan
• Group Life - AD&D - Critical Illness Insurance
• Paid Time Off Benefits