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Data Scientist

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Ford Motor Company

19d ago

  • Job
    Full-time
    Mid & Senior Level
  • Data
    Software Engineering
  • Chennai

AI generated summary

  • You need a Bachelor’s or advanced degree in a related field, 3-7 years of experience in data science and AI/ML, team leadership, cloud proficiency (GCP), and advanced analytical methods expertise.
  • You will design AI project lifecycles, develop and deploy models, collaborate with stakeholders, coach teams, monitor metrics, and drive product strategy using machine learning and cloud technologies.

Requirements

  • Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT)
  • 3 to 7 years of experience of analytical methods and their proper application
  • 3 to 7 years of experience using AI/ML, data science software (e.g., Python-based tools)
  • Experience in leading Data Science teams.
  • Experience acting as the senior technical lead helping facilitate analytical/technical discussions on solution tradeoffs for new feature implementations.
  • Experience using Cloud Platforms and AI Platforms.
  • Experience using Gen AI technologies.
  • Master’s or PhD Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science)
  • Experience leading and managing teams.
  • Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Naïve Bayes, Neural Networks, regression, image processing, natural language processing,
  • Working knowledge of GCP.
  • Expertise in open-source data science technologies such as Python, R, Spark, SQL.
  • Experience working with AI Agents
  • Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
  • Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
  • Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
  • Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently.
  • Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
  • Proficiency in programming languages such as Python for data manipulation, analysis, and model development.
  • Experience with version control systems like Git for managing code repositories and collaboration.
  • Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production.
  • Strong problem-solving skills, analytical thinking, and the ability to communicate complex technical concepts effectively.
  • Experience with Gen AI,
  • Strong in Software Engineering practices and be able to translate those practices into the AI Engineering world.

Responsibilities

  • Designing, documenting, and maintaining clear processes for AI project lifecycles, including data acquisition, model development, deployment, and monitoring.
  • Delivery of analytical models and solutions as well as using business acumen, knowledge of data, and AI to support key products within Pro Tech that focus on improving customer experience, increasing revenue, and improving efficiency across the business.
  • Coaching and providing expertise to other AI teams.
  • Developing healthy relationships and trust with business stakeholders and peers across Ford Pro-Tech.
  • Collaborating with business customers to understand business challenges and develop strategies for solving them using AI/ML and advanced analytics.
  • Helping define and communicate product vision and delivery with key stakeholders.
  • Identifying and measuring success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
  • Supporting technical reviews of analytical methods & AI solutions.
  • Supporting the prioritization of advanced analytic research needed to advance the product’s capabilities.
  • Hands on experience of developing analytical solutions.
  • Contributing to and growing the AI Engineering practice.
  • Driving AI products and services end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
  • Influencing product direction through clear and compelling presentations to leadership.
  • Contributing towards advancing the AI Engineering and Data Science discipline in Ford Pro through the Community of Practice, including but not limited to driving data best practices, improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
  • Promoting and facilitating learning and development needs of team.
  • Supporting team members as part of product delivery model.
  • Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
  • Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
  • Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.
  • Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently.
  • Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment.
  • Proficiency in programming languages such as Python for data manipulation, analysis, and model development.
  • Experience with version control systems like Git for managing code repositories and collaboration.
  • Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production.
  • Strong problem-solving skills, analytical thinking, and the ability to communicate complex technical concepts effectively.
  • Experience with Gen AI.
  • Strong in Software Engineering practices and be able to translate those practices into the AI Engineering world.

FAQs

What is the job title for this position?

The job title is Data Scientist.

What are the primary responsibilities of the Data Scientist at Ford Pro?

The primary responsibilities include designing, documenting, and maintaining clear processes for AI project lifecycles, delivering analytical models and solutions, coaching AI teams, and developing relationships with business stakeholders.

What is the minimum educational requirement for this position?

The minimum educational requirement is a Bachelor’s Degree in a related field such as Data Science, Predictive Analytics, Statistics, or Applied Mathematics.

How many years of experience are required for this role?

The role requires 3 to 7 years of experience in analytical methods and their proper application, as well as experience using AI/ML and data science software.

Is experience leading Data Science teams necessary for this role?

Yes, experience in leading Data Science teams is a requirement for this position.

What skills are preferred for applicants?

Preferred skills include a Master’s or PhD Degree in a related field, experience managing teams, expert-level knowledge of advanced analytical methods, and proficiency in open-source data science technologies like Python and SQL.

What cloud platforms should candidates be familiar with?

Candidates should have experience using Cloud Platforms and AI Platforms, with working knowledge of Google Cloud Platform (GCP) being preferred.

Will the Data Scientist collaborate with business customers?

Yes, the Data Scientist will collaborate with business customers to understand their challenges and develop strategies for solving them using AI/ML and advanced analytics.

Are there opportunities for team development and mentoring in this role?

Yes, the role involves contributing towards team development, promoting learning and development needs, and mentoring other data scientists.

What experience is needed with machine learning models?

Candidates should have experience building and training machine learning models using tools like TensorFlow, Keras, or PyTorch.

Is knowledge in software engineering practices important for this position?

Yes, a strong understanding of software engineering practices and the ability to translate them into AI Engineering is crucial for success in this role.

Are there any specific technologies related to AI mentioned in the job description?

Yes, familiarity with Gen AI technologies and containerization technologies like Docker for deploying machine learning models is required.

Will the Data Scientist have a role in defining product strategy?

Yes, the Data Scientist will drive AI products and services end-to-end in partnership with Product, Engineering, and cross-functional teams to inform and influence product strategy and investment decisions.

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Ford Motor Company

Automotive
Industry
10,001+
Employees
1903
Founded Year

Mission & Purpose

We don't just make history -- we make the future. Ford put the world on wheels over a century ago, and our teams are re-inventing icons and creating groundbreaking connected and electric vehicles for the next century. We believe in serving our customers, our communities, and the world. If you do, too, come move the world and make the future with us. Ford is a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place – one that benefits lives, communities and the planet. We are here to provide the means for every person to move and pursue their dreams, serving as a bridge between personal freedom and the future of mobility. In that pursuit, our 186,000 employees around the world help to set the pace of innovation every day.