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Data Scientist Time Series Forecasting

Remote: 
Full Remote
Work from: 

Offer summary

Qualifications:

Master's degree in Data Science, Statistics, or related field, 2+ years experience in Python, SQL programming.

Key responsabilities:

  • Develop time series forecasting and financial models
  • Collaborate with teams on strategies and opportunities
  • Preprocess data and engineer features for modeling
  • Apply machine learning techniques to solve problems
  • Stay updated on latest modeling advancements
Ford México logo
Ford México XLarge https://www.ford.mx/
5001 - 10000 Employees
See more Ford México offers

Job description

Job Description

We are seeking a highly skilled and motivated Data Scientist to join our Quality Analytics team within the Global Data Insight and Analytics (GDI&A) organization at Ford Motor Company. As a Data Scientist specializing in Natural Language Processing (NLP) Modeling, you will play a critical role in developing innovative solutions to enhance the quality analytics capabilities of our organization.

Responsibilities

  • Develop and deploy models focused on time series forecasting and statistical finance to extract insights from data.
  • Collaborate with cross-functional teams to identify opportunities and develop strategies for applying time series and financial modeling techniques to enhance quality analytics.
  • Design and implement data preprocessing and feature engineering techniques for time series and financial modeling tasks.
  • Utilize supervised and unsupervised machine learning techniques to solve complex forecasting and financial modeling problems.
  • Evaluate and fine-tune models for performance optimization, accuracy, and efficiency.
  • Contribute maintainable code to existing and new pipelines.
  • Stay up to date with the latest advancements in time series forecasting and statistical finance modeling and contribute to the continuous improvement of our methodologies and algorithms.
  • Communicate findings, insights, and recommendations to stakeholders in a clear and concise manner.


Qualifications

Minimum Requirements:

  • Master's degree in Computer Science, Engineering, Data Science, Statistics, Applied Mathematics, or a related data field.
  • 2+ years of hands-on experience in Python programming for data analysis and machine learning.
  • 1+ years’ experience in SQL programming language and relational databases.
  • 2+ years of experience with time series forecasting and statistical finance modeling.
  • 2+ years of experience with both supervised and unsupervised machine learning techniques
  • Experience with libraries and frameworks such as Prophet, ARIMA, and GARCH.


Disclaimer:

Ford Motor Company is an equal opportunity employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

About Us

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.

About The Team

We are trusted advisers enabling Ford to see our business, know our customers and act in a meaningful way. We drive evidence-based decision making by providing timely, actionable and forward-looking insights to our One Ford business partners. We seek to provide the thought leadership essential to achieving Ford’s strategic objectives. We translate insight into action by driving toward robust points of view, timely decisions and responsible allocation of enterprise resources.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

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