DescriptionWe are seeking a highly analytical and results-oriented Data Scientist with who can leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives.
ResponsibilitiesWhat youll do
- Programming & Databases:
- Python (Pandas NumPy Scikit-learn TensorFlow/PyTorch Dash/Streamlit Flask/FastAPI)
- SQL (Advanced querying stored procedures query optimization)
- Cloud Platforms & Big Data:
- Google Cloud Platform (GCP): BigQuery Google Cloud Storage (GCS) Vertex AI Dataflow Pub/Sub Dataproc
- Data Technologies & Protocols:
- MQTT Data Pipelines (ETL/ELT) Data Cleaning & Preprocessing Data Integration Data Mining
- Manufacturing & IIoT:
- Industrial Internet of Things (IIoT) Architectures & Principles
- Rockwell Automation Ecosystem: ControlLogix PLCs VFDs Studio 5000 (conceptual understanding)
- Familiarity with software for data access/visualization tools
- Manufacturing Environment & Equipment Data
- Machine Learning & Statistical Analysis:
- Quality Control/Prediction Process Optimization
- Time-Series Analysis Classification Regression Clustering (e.g. OPTICS DBSCAN)
- Statistical Modeling Hypothesis Testing
- Visualization & UI/Dashboard Development:
- Dashboarding Tools (e.g. Tableau Power BI Looker or Python libraries like Dash Streamlit Bokeh)
- UI/UX Design Principles for Data Applications
- Data Storytelling
- Software Development & Operations:
- Version Control (Git) Agile Methodologies Basic API Development Responsibilities:
- Develop and validate machine learning and statistical models to support business strategy.
- Gather manage and analyze structured and unstructured data for reporting and analytics.
- Research and apply innovative analytical methodologies and techniques.
- Collaborate with cross-functional teams to define objectives and develop actionable insights.
- Interpret and present analytical results
- Create comprehensive reports projections and visual presentations.
- Adhere to established guidelines and contribute to strategic discussions.
QualificationsYoull have...
- Bachelors degree in a quantitative field or 5 years of experience in Data Science IT Statistics or a related discipline.
- Proficiency in tools and programming languages such as Python R SQL or similar.
- Expertise in machine learning techniques including predictive modeling clustering and regression analysis is desirable.
- Strong skills in handling structured and unstructured datasets for reporting and modeling.
- Excellent communication skills with the ability to simplify complex concepts for diverse audiences.
- Proven ability to work independently and exercise sound judgment on technical approaches.
You may not check every box or your experience may look a little different from what weve outlined but if you think you can bring value to Ford Motor Company we encourage you to apply!
As an established global company we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe or keep you close to home Will your career be a deep dive into what you love or a series of new teams and new skills Will you be a leader a changemaker a technical expert a culture builderor all the above No matter what you choose we offer a work life that works for you including:
Immediate medical dental and prescription drug coverage
Flexible family care parental leave new parent ramp-up programs subsidized back-up childcare and more
Family building benefits including adoption and surrogacy expense reimbursement fertility treatments 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 Years Day
Paid time off and the option to purchase additional vacation time.
For more information on salary and benefits click here: position is a range of salary grades 6 7 and 8.
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. 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.
#LI-Onsite
#LI-JL1
DescriptionWe are seeking a highly analytical and results-oriented Data Scientist with who can leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle from data ingestion (MQTT) and cl...
DescriptionWe are seeking a highly analytical and results-oriented Data Scientist with who can leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives.
ResponsibilitiesWhat youll do
- Programming & Databases:
- Python (Pandas NumPy Scikit-learn TensorFlow/PyTorch Dash/Streamlit Flask/FastAPI)
- SQL (Advanced querying stored procedures query optimization)
- Cloud Platforms & Big Data:
- Google Cloud Platform (GCP): BigQuery Google Cloud Storage (GCS) Vertex AI Dataflow Pub/Sub Dataproc
- Data Technologies & Protocols:
- MQTT Data Pipelines (ETL/ELT) Data Cleaning & Preprocessing Data Integration Data Mining
- Manufacturing & IIoT:
- Industrial Internet of Things (IIoT) Architectures & Principles
- Rockwell Automation Ecosystem: ControlLogix PLCs VFDs Studio 5000 (conceptual understanding)
- Familiarity with software for data access/visualization tools
- Manufacturing Environment & Equipment Data
- Machine Learning & Statistical Analysis:
- Quality Control/Prediction Process Optimization
- Time-Series Analysis Classification Regression Clustering (e.g. OPTICS DBSCAN)
- Statistical Modeling Hypothesis Testing
- Visualization & UI/Dashboard Development:
- Dashboarding Tools (e.g. Tableau Power BI Looker or Python libraries like Dash Streamlit Bokeh)
- UI/UX Design Principles for Data Applications
- Data Storytelling
- Software Development & Operations:
- Version Control (Git) Agile Methodologies Basic API Development Responsibilities:
- Develop and validate machine learning and statistical models to support business strategy.
- Gather manage and analyze structured and unstructured data for reporting and analytics.
- Research and apply innovative analytical methodologies and techniques.
- Collaborate with cross-functional teams to define objectives and develop actionable insights.
- Interpret and present analytical results
- Create comprehensive reports projections and visual presentations.
- Adhere to established guidelines and contribute to strategic discussions.
QualificationsYoull have...
- Bachelors degree in a quantitative field or 5 years of experience in Data Science IT Statistics or a related discipline.
- Proficiency in tools and programming languages such as Python R SQL or similar.
- Expertise in machine learning techniques including predictive modeling clustering and regression analysis is desirable.
- Strong skills in handling structured and unstructured datasets for reporting and modeling.
- Excellent communication skills with the ability to simplify complex concepts for diverse audiences.
- Proven ability to work independently and exercise sound judgment on technical approaches.
You may not check every box or your experience may look a little different from what weve outlined but if you think you can bring value to Ford Motor Company we encourage you to apply!
As an established global company we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe or keep you close to home Will your career be a deep dive into what you love or a series of new teams and new skills Will you be a leader a changemaker a technical expert a culture builderor all the above No matter what you choose we offer a work life that works for you including:
Immediate medical dental and prescription drug coverage
Flexible family care parental leave new parent ramp-up programs subsidized back-up childcare and more
Family building benefits including adoption and surrogacy expense reimbursement fertility treatments 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 Years Day
Paid time off and the option to purchase additional vacation time.
For more information on salary and benefits click here: position is a range of salary grades 6 7 and 8.
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. 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.
#LI-Onsite
#LI-JL1
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