Data Science Engineer, System.AI — Remote (3 days/wk)

Schneider Electric; Andover (MA); Hybrid; USD 161,000 - 190,000; Full time

Benefits offered by this job

Stock purchase program

Paid time off 15 days

12 holidays per year

401(k) + match

Medical, dental, vision

Life insurance

Flex work arrangements

Benefit Bucks credits

Well-being programs

Job summary

Schneider Electric USA, Inc. seeks a Data Science Engineer – System.AI in Andover, MA to contribute to critical data science engineering for System.AI and EcoCare analytics. Develop, adapt, and deploy analytics to support condition-based maintenance and predictive outcomes.

You'll collaborate with SMEs, prepare data pipelines, and deploy cloud-ready solutions while aligning with client needs and industrial time series data. Position allows remote work up to 3 days per week.

Qualifications

• Master’s degree in Data Science or related field with 5 years of data engineering experience.
• Experience with Python/SQL/R and ML models including supervised/unsupervised, neural networks, classifiers and fuzzy logic.
• Experience with DataBricks or Snowflake; performing statistical analysis, data mining, and cloud-based deployments.

Responsibilities

• Contribute to data science engineering for System.AI and EcoCare analytics.
• Develop, adapt, and deploy System.AI/EcoCare analytics to support condition-based maintenance.
• Stack solutions using platforms to meet client requirements and collaborate with SMEs.
• Design and optimize service solutions, integrate within client environments, and enhance cloud solutions.

Skills

Python

SQL

R

Machine learning

Statistical analysis

Education

Master’s degree in Data Science or related field

Tools

DataBricks

Snowflake

TensorFlow

Git

Jira

Job description

Schneider Electric USA, Inc. seeks a Data Science Engineer – System.AI in Andover, MA to contribute to critical data science engineering for System.AI and EcoCare analytics. Develop, adapt, and deploy analytics to support condition-based maintenance and predictive outcomes.

You'll collaborate with SMEs, prepare data pipelines, and deploy cloud-ready solutions while aligning with client needs and industrial time series data. Position allows remote work up to 3 days per week.