8 дней назад
Principal Data Scientist (AI)
16 596 792 - 18 213 396$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Scientist (AI): Designing and deploying machine learning algorithms, data quality systems, and scalable data solutions for Ford’s transportation technology platform with an accent on identity resolution, anomaly detection, data engineering, and Generative AI. Focus on optimizing large-scale data pipelines, building cloud-native data services, solving complex data quality and performance issues, and leading research and development across the Product group.
Location: Hybrid in Dearborn, Michigan; must live within a reasonable commuting distance of the worksite. Candidates must be legally authorized to work in the United States.
Salary: $165,967.92–$182,133.96 per year
Company
develops vehicles and mobility technologies, using enterprise technology and data platforms to improve transportation and customer experiences.
What you will do
- Design, build, fine-tune, and deploy end-to-end machine learning algorithms, including identity resolution, anomaly detection, and predictive modeling.
- Lead data quality initiatives across large-scale data warehouses and data lakes, including monitoring, cleansing, standardization, validation, and root-cause analysis.
- Develop internal tools, libraries, automation scripts, data lineage capabilities, metadata management systems, and automated data quality checks.
- Manage data ingestion and transformation into BigQuery and other data platforms, optimizing ETL/ELT pipelines, storage, latency, and resource utilization.
- Build Docker images, automate orchestration and scheduling, and leverage Generative AI and LLMs to solve data platform and warehouse problems.
- Partner with data engineers, architects, privacy, product, and engineering teams; lead projects, mentor engineers, and translate business needs into technical specifications.
Requirements
- Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
- At least 5 years of experience in data science or advanced data engineering and in the offered role or a related occupation.
- At least 5 years of Python development using Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and scripting.
- At least 5 years of experience designing, implementing, and deploying machine learning models for complex data problems, including performance and accuracy optimization at scale.
- At least 5 years of experience researching, evaluating, and integrating foundational and cutting-edge machine learning capabilities, plus 3 years of SQL experience including query tuning.
- Must be legally authorized to work in the United States and able to work in a hybrid arrangement near Dearborn, Michigan.
Culture & Benefits
- Medical, dental, vision, prescription drug, mental health, and wellness coverage.
- Paid time off, paid holidays, paid community service time, paid parental leave, and flexible family leave.
- Retirement contributions, savings programs, tuition assistance, and personalized financial planning tools.
- Vehicle discounts and management lease options for employees and family members.
- Family support programs including fertility, surrogacy, adoption, back-up childcare, and new-parent assistance.
- Employee resource groups and opportunities to innovate, lead, mentor, and collaborate across the organization.
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