Data Science Engineer – System.AI

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

For this U.S. based position, the expected base salary is $160,722.00 – $189,800 per year. Additional short-term incentive compensation is a typical part of our compensation structure and would be in addition to the above-stated range.

The compensation range for this full‑time position applies to candidates located within the UnitedStates. Our salary ranges are determined by reviewing roles of similar responsibility and level. Within the salary range, individual pay is determined by several factors including performance, knowledge, job‑related skills, experience, and relevant education or training. Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits) flexible work arrangements, paid family leaves, 401(k) + match, well‑being and recognition (including service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro‑rated in the first year of employment based on start date), opportunity to purchase company stock (eligibility depends on start date), and military leave benefits.

Schneider Electric USA, Inc. seeks a Data Science Engineer – System.AI in Andover, MA.

Contribute to critical data science engineering for System.AI, aGlobal ETOServiceCenterofExcellence that delivers true system level predictive outcomes. Develop, adapt, and deploy System.AI/ EcoCare analytics (services for condition‑based maintenance). Stack solutions using various platforms to suit specific client requirements. Work with Subject Matter Experts (SMEs) and labelled client data sets to develop insights that drive risk management and insights to support condition‑based maintenance. Minimize interventions, optimize interventions, and optimize client SLA's. Liaise with key clients to design and optimize service solutions, to then integrate within existing environments and optimize existing infrastructure. Recommend and deploy enhancements to cloud solutions. Recommend and develop enhancement instrumentation and edge solutions to improve analytic outcomes. Enhance knowledge of existing SE solutions and assist in development of broader SE Edge solutions. Support data engineering, data cleansing, and normalization for industrial time series, alerts, and alarms. Contribute to analytic development through model definition and development, as well as use of case definition. Position eligible for remote work up to 3days/wk.

Requirements: Master’s degree or equivalent in Data Science or related field and 5 years of experience in data engineering within an industrial, machine learning, or Azure environment. Pre-/post-Master’sdegree experience is acceptable. Experience must be post-Bachelor’s degree. Academic background, internship, or work experience to include: Programming languages including Python, SQL, or R; Machine learning models to include: Supervised and Unsupervised Learning,Classification Models,Cluster Analysis,Neural Networks,and Fuzzy Logic; Data platforms to include: DataBricks or Snowflake; Performing statistical analysis using TensorFlow, machine learning models, and data mining; Git or Jira; and Industrial Asset model creations and management, along with use of industrial applications and services.

EOE.

This position will be posted until filled.

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€40 billion global revenue
+9% organic growth
150 000+ employees in 100+ countries

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

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