Logo of Huzzle

Home

Matches

Explore

Manage

Data Scientist

image

Ford Motor Company

Today

  • Job
    Full-time
    Mid Level
  • Chennai

AI generated summary

  • You should have cloud platform experience (AWS, Google Cloud, Azure), machine learning skills, data wrangling (DBT, SQL), and knowledge of visualization tools (Qliksense, Power BI).
  • You will design models, analyze datasets, collaborate on insights, create visualizations, ensure data quality, conduct exploratory analysis, build predictive models, and document processes.

Requirements

  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Experience with leveraging machine learning algorithms to solve business problems.
  • Experience in using data wrangling tools like DBT, SQL.
  • Knowledge of visualization tools like Qliksense, Power BI.
  • Experience & knowledge of purchasing business processes is a plus.

Responsibilities

  • - Design, develop, and implement advanced statistical models and algorithms to solve business problems.
  • - Analyze large and complex datasets to identify trends, patterns, and insights.
  • - Collaborate with stakeholders to define data requirements and deliver actionable insights.
  • - Develop data visualizations and dashboards to communicate findings to non-technical stakeholders.
  • - Perform data cleaning, preprocessing, and transformation to ensure data quality and integrity.
  • - Conduct exploratory data analysis to generate hypotheses and guide research efforts.
  • - Utilize machine learning techniques to build predictive models and optimize business processes.
  • - Stay up-to-date with the latest developments in data science, machine learning, and analytics.
  • - Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.

FAQs

What experience is required for the Data Scientist position?

The ideal candidate should have 3-4 years of experience in data science, with a strong analytical background and proficient programming skills.

Which cloud platforms should the candidate be familiar with?

Candidates should have experience with cloud platforms such as AWS, Google Cloud, or Azure.

Is knowledge of machine learning necessary for this role?

Yes, the candidate should have experience leveraging machine learning algorithms to solve business problems.

What tools should the candidate be skilled in for data wrangling?

Experience in using data wrangling tools like DBT and SQL is required.

Are there specific visualization tools that the candidate should know?

Yes, knowledge of visualization tools like Qliksense and Power BI is preferred.

Is familiarity with purchasing business processes important for this role?

Yes, experience and knowledge of purchasing business processes is considered a plus.

What are some primary responsibilities of the Data Scientist?

Responsibilities include designing and implementing statistical models, analyzing datasets for trends, collaborating with stakeholders, and developing visualizations and dashboards.

How will the Data Scientist communicate findings to non-technical stakeholders?

The Data Scientist will develop data visualizations and dashboards to effectively communicate findings.

Is data quality important in this role?

Yes, performing data cleaning, preprocessing, and transformation to ensure data quality and integrity is a key responsibility.

How does the company support professional development in data science?

The Data Scientist is expected to stay up-to-date with the latest developments in data science, machine learning, and analytics.

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.