Machine Learning Data Scientist – Consumer Forecasting
OpenAI
Posted: 10/22/2026PythonPyTorchScikit-LearnSQLTensorflow
Senior Lead Analytics Consultant
Wells Fargo
Posted: 10/22/2026PMPPythonSQLTableau
Data Scientist
Wilson
Posted: 10/22/2026SQL
Clinical Data Scientist
Xenon Seven
Posted: 10/22/2026CloudPython
Senior Data Scientist – Pharma
Tiger Analytics
Posted: 10/22/2026PySparkPythonPyTorchSparkSQLTensorflowUnity
Principal Data Scientist, Payments Intelligence
WEX
Posted: 10/22/2026PythonSQL
Principal Data Scientist
EXL
Posted: 10/22/2026BigQueryCloudPandasPythonPyTorchScikit-LearnSparkSQLTensorflow
Senior Product Manager, Data Products
MURAL
Posted: 10/22/2026SQL
Senior Data Scientist
Kiavi
Posted: 10/22/2026CloudPythonPyTorchTensorflow
Director, Data Science & Analytics
Coherent Corp.
Posted: 10/22/2026AWSAzureCloudGoogle Cloud PlatformPMPPythonSparkSQL
Data Scientist
CHG Healthcare
Posted: 10/21/2026CloudPythonSQL
Senior Data Scientist, Safety Enforcement
Reddit, Inc.
Posted: 10/21/2026PythonSQL
Head of Data & AI Platform
Baker Tilly US
Posted: 10/21/2026
Senior Associate, Data Scientist – Alternative Data Strategy
Capital One
Posted: 10/21/2026AWSCloudPythonScalaSparkSQL
Manager, Data Scientist – Alternative Data Strategy
Capital One
Posted: 10/21/2026AWSCloudOpen SourcePythonSpark
Data Science Engineering Co-Op
RTX
Posted: 10/21/2026Python
Lead Data Scientist
Ritchie Bros.
Posted: 10/21/2026Lead Data Scientist
Ritchie Bros.
Posted: 10/21/2026
Business Reporting and Data Manager
Bank of America
Posted: 10/21/2026HadoopOraclePythonSQLTableau
Manager – Data Management
Vanguard
Posted: 10/21/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in building and deploying statistical and machine learning models for forecasting across various domains, with a strong focus on time-series forecasting techniques and the ability to translate technical outputs into actionable business insights.
Highest-signal resume keywords
Time-Series Forecasting TechniquesPython ProficiencySQL ProficiencyScikit-Learn ExperienceModel Monitoring and Maintenance
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build statistical and machine learning models for forecasting needs across product, finance, infrastructure, and go-to-market domains
- Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development, prototyping, experimentation, deployment, monitoring, and explainability
- Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability
- Contribute to self-service forecasting tools and internal platforms
- Research and evaluate emerging forecasting tools and techniques, including TimeGPT, large language model extensions, causal forecasting, and hybrid approaches
- Translate technical outputs into business-aligned recommendations and decision frameworks
- Collaborate with product managers, researchers, engineers, and finance leaders
- Integrate forecasts into planning processes, experimentation workflows, and executive decision-making
Requirements
What you’ll need- Advanced degree (MS or PhD) in a quantitative field such as Statistics, Computer Science, Economics, or Operations Research
- 7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems
- Expertise in time-series forecasting techniques and practical understanding of trade-offs across performance, explainability, and scalability
- Proficiency in Python and SQL
- Experience with scikit-learn, PyTorch/TensorFlow, and forecasting libraries
- Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments
- Strong communication and storytelling skills, with the ability to simplify complexity and influence executive stakeholders
- Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1
Benefits
Comp & perks- Equity
- Performance-related bonus(es) for eligible employees
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents)
- Paid medical and caregiver leave (up to 8 weeks)
- Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 13+ paid company holidays
- Multiple paid coordinated company office closures throughout the year
- Paid sick or safe time
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend
- Daily meals in offices and meal delivery credits as eligible
- Relocation support for eligible employees
- Charitable donation matching and wellness stipends may also be provided
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical ModelingMachine LearningPredictive ModelingFeature EngineeringExperimentationDeploymentCausal ForecastingHybrid ApproachesForecasting LibrariesData Science
Soft Skills
Strong Communication SkillsStorytelling AbilityIntellectual CuriositySelf-DirectionLeadership in Ambiguous Projects
Tools & Technologies
PyTorchTensorFlowTimeGPTSelf-Service Forecasting ToolsInternal Platforms
Certifications & Qualifications
Advanced Degree in Quantitative Field
Industry Keywords
ForecastingProduct ManagementFinanceInfrastructureGo-To-Market