{"id":2993829,"url":"https://alion.io/job/schneider-electric-data-science-engineer-system-ai","title":"Data Science Engineer – System.AI","company":{"id":1266,"name":"Schneider Electric","domain":"se.com","url":"https://alion.io/company/schneider-electric","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":{"grade":"B","score":75,"open_postings":372,"ghost_share":0,"stale_share":0.995,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":160722,"max":189800,"currency":"USD","period":"year","gross":null,"usd_annual":189800},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Jira","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-10-09T00:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-26T08:44:16Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"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.\nThe compensation range for this full-time position applies to candidates located within the United States. 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.\nYou must submit an online application to be considered for the position. The position will remain posted for approximately 60 days.\nSchneider Electric USA, Inc. seeks a Data Science Engineer - System.AI in Andover, MA.\n Job Description: Contribute to critical data science engineering for System.AI, a Global ETO Service Center of Excellence 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 3 days/wk.\nRequirements: 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’s degree 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.\nEOE.\nTo Apply: Visit http://careers.se.com and search Req#136957\n At Schneider, we believe that every employee is a talent who deserves equal opportunities. This means you matter. Every individual needs to feel valued, supported, and treated fairly to do their best work.\nOur Total Rewards is our way of saying: “We see you. We value you”. It’s more than just pay and benefits- it’s a meaningful investment in you. It is designed for you to perform, grow, feel safe, and elevate your potential to shine as an impact maker.\nFor this U.S. based position, the expected pay range is USD 117,600 - USD 176,400 per year. This pay range includes base pay and short-term incentives. The compensation range for this full-time position applies to candidates located within the United States. Our pay ranges are determined by reviewing roles of similar responsibility and level. Within the pay range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training.\nSchneider Electric is there when it matters most to you\nOur Total Rewards package outlines all the benefits and support you’ll enjoy as part of the Schneider Electric team:\nCare for Yourself and Your Family.We ensure you feel secure with benefits that help you and your family thrive: medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks, flexible work arrangements, paid family leaves, well-being programs, 12 holidays per year, and 15 days of paid time off per year.\nInvest and Plan Your Future.We help you plan and invest for the future with competitive pay and programs including base salary, incentives, company share ownership, and 401(k) with match.\nGrow Your Skills and Career.We support development through performance discussions, global opportunities, the Schneider Career Hub, and learning platforms like Coursera.\nTeam Up in the Workplace.We encourage collaboration, recognition, sharing your voice, and an inclusive workplace.\nSupport Your Community.We make a difference through volunteer leave, programs with the Schneider Electric Foundation, youth education initiatives, and military leave benefits.\nIf you believe this job posting is not compliant with applicable state pay transparency laws in the U.S., please notify the Company as soon as possible upon discovery by completing this form Job Posting Compliance Form.\n Looking to make an IMPACT with your career?\nWhen you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.\nIMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.\nWe are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.\nBecome an IMPACT Maker with Schneider Electric - apply today!\n€40 billion global revenue\n+9% organic growth\n150 000+ employees in 100+ countries\n\nYou must submit an online application to be considered for any position with us. This position will be posted until filled.\nSchneider 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. \nAt Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here\n\nSchneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.","description_format":"text","description_chars":8435,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial Automation","Energy Management","Electrical Equipment & Cables"],"lifecycle":[{"event":"open","at":"2026-10-21T10:29:05Z"}],"visa":[],"liveness":{"score":51,"band":"ok","label":"Likely open","p_open":1,"p_active":0.563,"p_room":0.9,"age_days":17,"expected_fill_days":29,"reasons":["conf:1","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":{"stated_usd_annual":189800,"is_top_pay":true},"html_url":"https://alion.io/job/schneider-electric-data-science-engineer-system-ai","json_url":"https://alion.io/job/schneider-electric-data-science-engineer-system-ai.json","meta":{"generated_at":"2026-10-26T08:55:58Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":11892,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1266},"rest":"https://alion.io/mcp/rest/get_company?id=1266"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fschneider-electric-data-science-engineer-system-ai"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fschneider-electric-data-science-engineer-system-ai"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fschneider-electric-data-science-engineer-system-ai"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/schneider-electric-data-science-engineer-system-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fschneider-electric-data-science-engineer-system-ai"}]}