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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in data analysis and visualization, with strong skills in Python and SQL for handling large-scale datasets. Capable of conducting exploratory data analysis, building models, and effectively communicating findings to diverse audiences.
Highest-signal resume keywords
Proficiency In PythonData Visualization ToolsSQL QueryingExploratory Data Analysis TechniquesMachine Learning Concepts
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData CleaningStatistical AnalysisModel PrototypingTime-Series Data AnalysisSensor Data AnalysisCode DocumentationData ManipulationVersion ControlBig Data Tools
Soft Skills
Analytical SkillsProblem-Solving SkillsCritical ThinkingIntellectual CuriosityCommunication Skills
Tools & Technologies
PandasNumPyMatplotlibPlotlyFoliumScikit-LearnTensorFlowGitPySpark
Industry Keywords
Data ScienceStatisticsMathematicsComputer ScienceEngineeringQuantitative FieldGeospatial Data
Tech Stack
Tools & technologiesNumpyPandasPySparkPythonScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Conduct exploratory data analysis and data cleaning on large-scale sensor datasets to identify patterns, trends, labels, and data quality issues
- Build visualizations and summaries communicating findings to technical and non-technical audiences
- Prototype and evaluate models for detecting patterns or events in sensor data
- Contribute clean, well-documented code and participate in code reviews with data scientists and engineers
- Document methodology, findings, and recommendations in Confluence
- Analyze real-world sensor and driving event data collected from millions of trips
- Collaborate with data scientists and engineers from exploratory analysis through prototyping
- Present findings to the broader team
Requirements
What you’ll need- Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Physics, Engineering, or a related quantitative field
- Proficiency in Python (e.g. pandas, numpy) for data analysis and manipulation
- Familiarity with data visualization tools (e.g. Matplotlib, Plotly, Folium)
- Foundational understanding of statistics and exploratory data analysis techniques
- Strong analytical and problem-solving skills, with comfort working through ambiguous, real-world data
- Critical thinking and intellectual curiosity, with a drive to dig into open-ended problems and ask good questions
- Clear written and verbal communication skills for presenting technical work
- Target Start Date: May/June 2027
- Rising Junior or Senior
- Coursework or project experience with time-series or sensor data
- Working knowledge of SQL for querying large datasets
- Exposure to machine learning concepts/libraries (e.g. scikit-learn, TensorFlow)
- Experience with Git or other version control in a collaborative setting
- Familiarity with big data tools (e.g. PySpark) or geospatial data is a plus
- Allstate generally does not sponsor individuals for employment-based visas for this position
- Dedicated, private workspace free from distractions when working from home
- Reliable internet with minimum speeds of 50 MB download and 5 MB upload
Benefits
Comp & perks- Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse
- Monthly connectivity reimbursement for employees eligible to work from home
