Data Scientist

Making Jobs Visible is a recruiting creator and influencer initiative, driven by a passion for surfacing buried jobs and working with top brands and employers to bring you roles worth applying to.

Company

Ford Motor Company Employment Type: Full-time Pay - $86,600-$144,900.

What you’ll 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 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 Qualifications Strong foundation in Data Science and Statistics, with experience applying quantitative methods to real-world problems.

Proficiency in Data Analysis and Data Analytics for exploring datasets, generating insights, and building data-driven recommendations. Ability to design effective Data Visualization solutions to present complex information in clear, accessible formats. Hands-on experience with programming languages and tools commonly used in data work (e.g., Python or R, SQL, and analytics libraries).

Familiarity with experimental design, A/B testing, and model evaluation in digital or content-driven environments. Strong analytical thinking, problem-solving skills, and attention to detail, with the ability to communicate findings to non-technical partners. Comfort working independently in a remote setting and collaborating across cross-functional teams and time zones.

Bachelor’s or higher degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Economics, or related discipline. Experience with recruiting analytics, marketing analytics, or workforce/HR data is a plus.