Staff Data Scientist

November 22

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Ford Motor Company

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Automotive • Financial Services • Mobility

10,000+

💰 Post-IPO Debt on 2023-08

Description

• Lead and execute data science projects: Independently manage the entire lifecycle of data science projects, from problem definition and data acquisition to model development, deployment, and monitoring. • Develop and implement advanced analytical models: Build and deploy machine learning models, statistical models, and other analytical techniques to solve business problems across various domains. • Data mining and analysis: Extract, clean, transform, and analyze large datasets from various sources. • Develop and maintain data pipelines: Design and implement robust and scalable data pipelines to ensure efficient data flow and accessibility for analysis and model training. • Collaborate with cross-functional teams: Work closely with engineers, product managers, and other stakeholders to understand business needs, define project scope, and communicate findings effectively. • Mentor junior data scientists: Provide guidance and support to less experienced team members, fostering a collaborative and learning-oriented environment. • Stay current with the latest advancements in data science: Continuously learn and explore new techniques and technologies to enhance the team's capabilities. • Contribute to the improvement of data infrastructure and processes: Identify areas for improvement in data quality, data governance, and data infrastructure and propose solutions.

Requirements

• PhD degree in Computer Science, Statistics, Data Science or a related field or a combination of education and equivalent work experience • 10 + years of experience as a Data Scientist. • 5 + years of programming experience in Python or R, including experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). • 5 + years of experience in statistical modeling, machine learning, and data mining techniques. • 3 + years of experience with SQL and NoSQL databases.

Benefits

• Immediate medical, dental, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare 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.