**BCforward is currently seeking a highly motivated Corporate Data Scientist in Dallas, TX
Position Title:**
Data Scientist
Location:
Dallas, TX
Anticipated Start Date:
ASAP
Expected Duration:
Till April 30th 2026 (potentially extended)
Pay rate:
$50 to $54/hr on W2
Job Type: Contract:
40 hrs/week
**Job description:
Job Title: Data Scientist – AI/ML Pricing Engine
Essential Job Functions**
- Design and develop AI/ML pricing and recommendation models.
- Build price elasticity, margin optimization, and dynamic pricing models.
- Optimize pricing strategies through experimentation and iteration.
- Integrate business rules into machine learning workflows.
- Deploy and scale models using Amazon SageMaker.
- Implement MLOps practices for monitoring and retraining.
- Analyze price sensitivity, competition, and customer behavior.
- Develop segmentation strategies for differentiated pricing.
- Create scenario analysis frameworks for pricing decisions.
- Monitor model performance against business KPIs.
- Translate pricing strategies into quantitative models.
- Partner with data engineers to ensure data quality.
- Present insights and recommendations to stakeholders.
- Document models and assumptions in Confluence.
Technical Expertise
- 5–7 years of experience in data science or machine learning.
- Proven experience deploying ML models in production.
- Experience with pricing optimization or recommendation systems.
- Advanced Python skills using pandas, scikit-learn, and PySpark.
- Experience with TensorFlow, PyTorch, or XGBoost.
- Strong SQL and GitHub version control skills.
- Experience with AWS services and Amazon SageMaker.
- Familiarity with Databricks or big data platforms.
Other Qualifications
- Strong analytical and problem-solving skills.
- Ability to work effectively in agile, cross-functional teams.
- Self-directed with strong time management skills.
- Clear communication of technical results to non-technical audiences.
- Industry experience in automotive, manufacturing, or e-commerce preferred.
- Master’s or PhD in a quantitative field preferred.
- Knowledge of optimization or causal inference methods a plus.
- AWS or Databricks certifications a plus.
Work Environment
- On-site work in the Dallas/Fort Worth area at least three days per week.
- Flexibility required to support agile delivery and stakeholders.
Tags & focus areas
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