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Data Science
hace 2 semanas
We are seeking a Project Manager with a strong technical background in data science to oversee the execution and delivery of data science projects. Reporting directly to the Delivery Manager in Data Science, this role combines deep technical expertise in data science and analytics with project management skills to lead cross-functional teams. The ideal candidate will have an advanced degree in a quantitative discipline, extensive experience in data science methodologies, and a proven track record in managing complex technical projects to successful completion.
An MS/PhD in Computer Science, Operational Research, Statistics, Applied Mathematics, or related fields. PhD preferred. 4+ Demonstrated experience in leading data science projects, with a strong foundation in machine learning, statistical analysis, and NLP. Extensive knowledge and practical experience with data science methodologies and tools, including machine learning algorithms, deep learning frameworks, and data manipulation libraries. 4+ years of experience in advanced analytics tools and software, including SQL, NoSQL databases, cloud computing platforms (Google Cloud), and Big Data technologies (Hadoop, Spark). Familiarity with BI tools (Tableau, PowerBI) for data visualization. Solid understanding of project management principles and experience in managing project timelines, deliverables, and resources in a technical or data science environment. Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Good to have: Project management certification (., PMP, PRINCE2) and Six Sigma Black Belt certification.
Tool Knowledge:
Proficient in data manipulation and computational libraries: Pandas, Numpy, Scikit-Learn. Experienced with deep learning frameworks: Pytorch, TensorFlow, Keras. Skilled in analytics and visualization tools: Alteryx, Qlik, Tableau, PowerBI. Familiar with database management: SQL, NoSQL. Proficient in cloud computing platforms, with a focus on GCP for ML Ops deployments. Experienced with Big Data technologies: Hadoop, Spark. Solid understanding of programming/scripting languages: Python/ R ; C/C++, Java, (Optional) Familiar with development and version control tools: Git, CI/CD pipelines. Ford Motor Company is an Equal Opportunity Employer, as we are committed with a diverse workforce, and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran and basis of disability.
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