Data Scientist II

Early Warning

. Serve as a data science team member delivering machine learning and artificial intelligence concepts from start to finish .

Posted 11/9/2026full-timeUnited StatesMid-LevelSenior💰 $101,000 - $162,000 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 and deploy algorithms using Python or R. Proficient in data exploration, feature engineering, and communicating complex findings to non-technical stakeholders.

Highest-signal resume keywords

Machine Learning TechniquesPython ProgrammingSQL ProficiencyData Visualization ToolsFeature Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData Science PipelinesAlgorithm DevelopmentFeature EngineeringProduction-Level CodeData AggregationStatistical AnalysisModel ValidationAnomaly DetectionComplex Problem Solving

Soft Skills

CommunicationCollaborationProblem-SolvingIndependenceAdaptability

Tools & Technologies

Scikit-LearnMLlibPySparkData Visualization SoftwareWorkflow Automation Tools

Industry Keywords

Fraud AnalyticsBanking Risk ModelsModel Risk ManagementTransaction DataPayment Data

Tech Stack

Tools & technologies

PySparkPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Serve as a data science team member delivering machine learning and artificial intelligence concepts from start to finish
Understand business problems and needs
Explore and aggregate data
Build and validate algorithms
Deploy completed models to deliver business results
Explore and aggregate data independently to uncover anomalies affecting algorithm performance
Perform end-to-end feature engineering, including brainstorming, creation, validation, and down-selection
Write production-level code in a dynamic, start-up environment
Solve complex problems using terabyte-size datasets
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
Explain and visualize results and algorithm performance to non-technical audiences
Protect the integrity and confidentiality of systems and data
Follow instructions and perform other related duties as assigned by the supervisor

Requirements

What you’ll need

Bachelor’s Degree in Mathematics, Statistics, Computer Science, Operational Research or related field
Minimum of 4 years of data science, engineering, mathematics, or related work experience
Experience developing data science pipelines and workflows in Python, R, or equivalent programming language
Experience writing and tuning SQL
Experience handling terabyte-size datasets
Experience applying various machine learning techniques and understanding key performance parameters
Experience using ML libraries such as scikit-learn and mllib
Experience using data visualization tools
Ability to write well-written, explainable production-level code
Interest in proof of concepts and rapid prototyping
Ability to communicate findings from complex analyses to non-technical audiences
Background and drug screen
Preferred: experience in fraud analytics, banking risk models, model risk management, transaction or payment data, PySpark, scalable feature engineering, advanced machine learning algorithms, workflow automation, or shared modeling and feature engineering platforms
PhD/MSc in Mathematics, Statistics, Computer Science, Operational Research or related field preferred

Benefits

Comp & perks

Discretionary incentive plan
Competitive medical (PPO/HDHP), dental, and vision plans
Company contributions to Health Savings Account (HSA)
Pre-tax flexible spending accounts (FSA) for commuting, health, and dependent care expenses
401(k) Retirement Plan with a 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
Additional benefits available through the company Benefits page