Senior Data Scientist - Pricing Optimization Remote

Openkrill; United States; Híbrido; USD 143 000 - 211 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work options

401K plan

Mental health resources

Flexible time off

Resumo da oferta

PatientPoint is seeking a Senior Data Scientist to drive pricing optimization and predictive analytics. You will build data products that synthesize data into actionable insights, enable automation, and inform pricing strategies across campaigns.

You will mentor junior team members, collaborate with engineering and product teams, and ensure models are interpretable and aligned with business goals. Cincinnati or remote work options support a flexible, impact-driven environment.

Qualificações

• Bachelor's degree in a quantitative field or related area.
• 6+ years of data science experience with data products and production models.
• Demonstrated ability to deliver analyses to stakeholders.

Responsabilidades

• Develop data products and predictive models for pricing strategies.
• Design and refine signals for supply, demand, and willingness-to-pay.
• Ensure model interpretability and explainability for pricing decisions.
• Collaborate with cross-functional teams including engineering and product.
• Mentor less experienced data scientists on the team.

Conhecimentos

Python

SQL

Machine Learning

Pricing optimization

Data visualization

Experimentation

Communication

Formação académica

Bachelor's degree in related field

Master's or PhD in related field

Ferramentas

Snowflake

Airflow

Gurobi

HEX

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Descrição da oferta de emprego

PatientPoint is seeking a Senior Data Scientist to drive pricing optimization and predictive analytics. You will build data products that synthesize data into actionable insights, enable automation, and inform pricing strategies across campaigns.

You will mentor junior team members, collaborate with engineering and product teams, and ensure models are interpretable and aligned with business goals. Cincinnati or remote work options support a flexible, impact-driven environment.