Data Science

Mexico City, MEX, Mexico

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Ford Motor Company

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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.

  • Collaborate with the Delivery Manager in Data Science to define project scopes, objectives, and deliverables, aligning them with business goals.
  • Plan and oversee the execution of data science projects from inception through completion, ensuring they are delivered on time, within scope, and budget.
  • Lead and coordinate cross-functional teams, including data scientists, analysts, and engineers, to ensure effective project execution and delivery.
  • Manage project risks, including the identification, assessment, and implementation of mitigation strategies.
  • Ensure the technical feasibility of projects, including resource allocation, timeline estimation, and the integration of technical tasks.
  • Facilitate communication between project team members and stakeholders, ensuring clear understanding of expectations and project progress.
  • Promote best practices in data science and project management within the team, mentoring junior staff and contributing to their professional development.
  • 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 (e.g., 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.
 

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Big Data CI/CD Computer Science Data visualization Deep Learning GCP Git Google Cloud Hadoop Java Keras Machine Learning Mathematics NLP NoSQL NumPy Pandas PhD Pipelines Power BI Python PyTorch Qlik R Research Scikit-learn Spark SQL Statistics Tableau TensorFlow

Perks/benefits: Career development

Region: North America
Country: Mexico

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