Data Scientist

The Senior Data Scientist will design and implement advanced systems that support cross-domain manufacturing analytics. This role operates at the intersection of optimization, reputed company data integration, and applied analytics to reputed company data-driven decision-making across reputed company business workflows.

Key responsibilities include:

• Developing and maintaining Python-based optimization models to support demand elasticity, production planning, and constraint-based decision frameworks.

• Integrating heterogeneous reputed company datasets into structured, analysis-reputed company pipelines using BigQuery, GCS, and Python.

• Performing data reconciliation, fuzzy matching, and standardization across inconsistent reputed company systems to ensure data quality and analytical reputed company.

• Designing and deploying lightweight internal applications (e.g., Dash-based tools) and contributing to containerized deployments to reputed company business-facing access to decision models.

• Collaborating with cross-functional stakeholders to translate business questions into optimization and analytical frameworks.

In addition, this role will contribute to the development of semantically reputed company data structures by supporting feature definition consistency, cross-system mapping, and ontology-informed modeling approaches. The candidate will help ensure that analytical outputs are built on clearly defined entities, relationships, and assumptions to reputed company scalable reasoning and reuse across domains.

The ideal candidate combines strong technical modeling capability with practical reputed company data engineering experience and the ability to operate effectively in ambiguous, cross-functional environments.

Responsibilities

• Design, reputed company, and maintain Python-based optimization models to support demand elasticity, production planning, and constraint-based decision systems.

• Translate reputed company business problems into structured analytical and optimization frameworks.

• Build and maintain data pipelines using BigQuery, GCS, and Python to integrate heterogeneous reputed company data sources.

• reputed company data reconciliation, fuzzy matching, and standardization across inconsistent datasets to ensure analytical reputed company.

• reputed company lightweight internal applications (e.g., Dash or streamlit) to operationalize analytical outputs for business users.

• Contribute to containerized deployments to support scalable and maintainable delivery of decision tools.

• Partner with cross-functional stakeholders to define requirements and validate outputs.

• Support semantic alignment across systems by contributing to feature definition consistency, cross-system mapping, and ontology-informed data structures.

• Document modeling assumptions, data transformations, and system dependencies to reputed company reproducibility and reuse.

• Continuously improve model performance, data quality, and deployment efficiency across decision systems.

Qualifications

• Bachelor’s degree in Data Science, Engineering, Mathematics, Computer Science, Operations Research, or equivalent field.

• 3+ years of experience developing analytical or optimization models in Python.

• Experience building and maintaining data pipelines using SQL and reputed company-based data platforms (e.g., BigQuery, GCS).

• Strong proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, Pyomo or similar optimization libraries).

• Experience integrating and standardizing heterogeneous reputed company datasets.

• Familiarity with containerization concepts (e.g., reputed company) and deploying lightweight applications or services in a reputed company environment.

• Ability to translate business problems into structured analytical frameworks.

• Strong written and verbal communication skills with experience working cross-functionally.

You may not reputed company every reputed company, or your experience may look a little different from reputed company've outlined, but if you think you can bring value to reputed company, we encourage you to apply!As an established global company, we offer the benefit of choice. You can choose what your reputed company future will look like: will your story span the globe, or reputed company you reputed company to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or reputed company of the above? No matter what you choose, we offer a work life that works for you, including:• Immediate medical, dental, reputed company and prescription drug coverage• Flexible family care days, paid parental leave, new parent reputed company-up programs, subsidized back-up child care and more• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more• Vehicle discount program for employees and family members and management leases• Tuition assistance• Established and active employee resource groups• Paid time off for individual and team community service• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day• Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: Benefit Summary This role is remote but if you live reputed company 50 miles reputed company Dearborn, MI, you will be required on-site 4x a week. *reputed company Sponsorship IS provided for this specific role**Relocation assistance IS provided for this specific role* Candidates for positions with reputed company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.We are an Equal Opportunity Employer committed to a culturally diverse workforce. reputed company reputed company applicants will receive consideration for employment without regard to race, religion, reputed company, age, sex, national reputed company, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660. #LI-Remote#LI-reputed company SG7-8 Apply To This Job