Senior Data Scientist

Schneider Electric; Andover (MA); Hybrid; USD 113,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) + match

Benefit Bucks credits to apply towards

Flexible work arrangements

Paid family leaves

Holidays and PTO

Job summary

Schneider Electric USA, Inc. seeks a Senior Data Scientist in Andover, MA to design, develop, and deploy advanced AI solutions, building models and algorithms for AI applications. Analyze data, propose solutions, and develop software components to implement the study.

Test and validate models, deploy solutions, and document deliverables while supporting ongoing operations. Remote eligible up to 3 days per week.

Qualifications

• Bachelor’s degree, or foreign equivalent, in Data Science, Analytics, or related field and two (2) years of experience in data analysis, or related occupation.
• OR Master’s degree, or foreign equivalent, in Data Science, Analytics, or related field and six (6) months of experience in data analysis, or related occupation.
• Academic internship, co-op, or work experience including: ML modelling for predictive analysis and pattern recognition; Python coding, debugging, and testing; Pandas/NumPy/Scikit-learn/Plotly usage

Responsibilities

• Design, develop, and deploy AI applications and models for AI solutions.
• Analyze data and propose solutions to business problems.
• Develop software components to implement solutions or studies.
• Test and compare models to balance performance, data needs, and computation time.
• Validate results against performance criteria and stakeholders’ expectations.
• Deploy solutions and conduct extensive tests.
• Document work and formalize deliverables.
• Support operation, maintenance, and evolution of solutions.
• Share project learnings with peers and update team knowledge.
• Protect IP and capitalize knowledge through documentation.

Skills

Python

Machine Learning

Data analysis

Communication

Education

Bachelor’s degree in Data Science/Analytics

Master’s degree in Data Science/Analytics

Tools

Pandas

NumPy

Scikit-learn

Plotly

Job description

For this U.S. based position, the expected base salary is $112,861.00 – $129,600.00 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 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.

Schneider Electric USA, Inc. seeks a Senior Data Scientist in Andover, MA.

Job Description: Contribute to the design, development, and deployment of advanced artificial intelligence applications and the development of models and algorithms for artificial intelligence solutions. Analyze available data and propose a solution to the problem. Develop software components to implement the solution or conduct the study. Test and compare models to achieve, in agreement with stakeholders, the best trade-off between performance, required data quantity, and computation time. Validate the results against the desired performance criteria. Contribute to the deployment of the solution and extensive tests. Document all work carried out and formalize deliverables. Provide the necessary support for operating, maintaining, and evolving the solution. Share experience on completed projects with peers. Contribute to updating the team's knowledge through technological watch and the evaluation of the field. Contribute to the protection of intellectual property and the capitalization of knowledge. Remote eligible up to 3 days/wk.

• Contribute to the design, development, and deployment of advanced artificial intelligence applications and the development of models and algorithms for artificial intelligence solutions.
• Analyze available data and propose a solution to the problem.
• Develop software components to implement the solution or conduct the study.
• Test and compare models to achieve, in agreement with stakeholders, the best trade-off between performance, required data quantity, and computation time.
• Validate the results against the desired performance criteria.
• Contribute to the deployment of the solution and extensive tests.
• Document all work carried out and formalize deliverables.
• Provide the necessary support for operating, maintaining, and evolving the solution.
• Share experience on completed projects with peers.
• Contribute to updating the team's knowledge through technological watch and the evaluation of the field.
• Contribute to the protection of intellectual property and the capitalization of knowledge.

Requirements: Bachelor’s degree, or foreign equivalent, in Data Science, Analytics, or related field and two (2) years of experience in data analysis, or related occupation. OR Master’s degree, or foreign equivalent, in Data Science, Analytics, or related field and six (6) months of experience in data analysis, or related occupation. Employerwill accept academicinternship, co-op, or work experience. Academic internship, co-op, or work experience to include: Machine Learning modelling for predictive analysis and pattern recognition; Extracting useful information from large datasets, including structured and unstructured data; Developing software using skills including coding, debugging, testing, and troubleshooting in Python; and Development using libraries including pandas, numpy, scikit-learn, and plotly; Data analysis using statistics and mathematics; Data management and engineering, including databases and big