Data Scientist

**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.