Data Scientist I

Early Warning

. Deliver machine learning and artificial intelligence concepts from start to finish in collaboration with senior technical and business leaders .

Posted 10/13/2026full-timeUnited StatesJuniorMid-Level💰 $97,000 - $149,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning and artificial intelligence, with a strong ability to develop, validate, and deploy models that deliver business results. Proficient in data analysis, feature engineering, and communicating complex findings to diverse audiences.

Highest-signal resume keywords

Machine Learning TechniquesPython ProgrammingData Visualization ToolsModel Validation ProceduresSQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisFeature EngineeringAlgorithm DevelopmentModel Risk ManagementProduction-Level Code WritingData TransformationStatistical AnalysisMachine Learning AlgorithmsData Science PipelinesRoot Cause Investigation

Soft Skills

Communication SkillsProblem-SolvingAdaptabilityCollaborationAnalytical Thinking

Tools & Technologies

SASPythonSQLRScikit-LearnPandasData Visualization Software

Industry Keywords

Data ScienceMachine LearningArtificial IntelligenceModel ValidationBusiness Development

Tech Stack

Tools & technologies

PandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Deliver machine learning and artificial intelligence concepts from start to finish in collaboration with senior technical and business leaders
Understand business problems, aggregate and explore data, build and validate algorithms, and quantify model value through simulations using real-world inputs
Understand and articulate model risks
Deploy completed models to deliver business results and regularly measure model accuracy, drift, and performance
Produce standard and ad hoc analytic reports
Develop, test, and document open-source code for data analysis and modeling
Perform data transformations, interpret results, and investigate root causes
Participate in internal model validation procedures, support external model validations, and perform regular model validation for the Model Risk Management program
Explore and aggregate data independently to uncover anomalies affecting algorithm performance
Perform end-to-end feature engineering, including brainstorming, creation, validation, and selection
Write production-level code in a dynamic, fast-paced environment
Apply machine learning techniques to business problems and determine optimal approaches
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Partner with Sales and Product teams to perform Customer Value tests supporting business development for current and future models
Explain and visualize results and algorithm performance to non-technical audiences
Support the company’s commitment to protecting the integrity and confidentiality of systems and data

Requirements

What you’ll need

Bachelor’s Degree in Engineering, Mathematics, Statistics, Computer Science, Operational Research or related field, or equivalent work experience
A minimum of 2 years data science, engineering, mathematics, or related work/intern/course experience with a Bachelor's degree, or a Master's degree without experience (or some internship)
Able to write model development technical documents
Willingness to troubleshoot system/data issues hindering analytics environment functionality
Experience using data visualization tools
Able to write production-level code that is well-written and explainable
SAS, Python, SQL or R programming training or experience
Experience applying various machine learning techniques and understanding key parameters affecting their performance
Ability to communicate complex analysis findings to non-technical audiences and various employee levels
Proven technical and analytical skills
Ability and adaptability to work on multiple projects concurrently, manipulate large data sets, and produce business-relevant results
Background and drug screen
Preferred: Master’s in Mathematics, Statistics, Computer Science, Engineering, Operational Research, or related field
Knowledge of ML algorithms
Experience using ML-related libraries such as scikit-learn and pandas
Experience writing and tuning SQL
Experience developing data science pipelines and workflows in Python, R, or equivalent programming languages

Benefits

Comp & perks

Competitive medical (PPO/HDHP), dental, and vision plans
Company contributions to Health Savings Account (HSA)
Flexible spending accounts (FSA) for commuting, health, and dependent care expenses
401(k) retirement plan with 100% Company Safe Harbor Match on the first 6% deferral immediately upon eligibility
Flexible Time Off for exempt (salaried) employees
Generous PTO for non-exempt (hourly) employees
11 paid company holidays
Paid volunteer day
12 weeks of paid parental leave
Maven Family Planning support, including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work
Discretionary incentive plan
Benefits program enhancements and additional benefits