We’re looking for a Data Scientist II with a strong foundation in statistics, business analytics, and machine learning to join our growing team. This role focuses on applying advanced data science techniques to real-world pricing and sales challenges, delivering impactful insights that shape decision-making across the organization. This role will be onsite 4 days a week in Scottsdale, AZ.

What You’ll Do:

Lead analytics projects focused on pricing optimization, churn prediction, and sales performance.
Conduct time-series analysis, hypothesis testing, and causal inference to uncover trends and business drivers.
Develop and deploy predictive models using Python or R, with a focus on statistical rigor and practical business application.
Collaborate with stakeholders across teams to understand requirements, present insights, and influence strategy.
Translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
Leverage SQL and cloud-based environments (AWS preferred) to manage large datasets and support scalable model deployment.
Create reports, dashboards, and executive-level presentations to communicate business impact.

What We’re Looking For:

3+ years of experience applying statistical and machine learning techniques (e.g., regression, clustering, decision trees, design of experiments).
Demonstrated success in commercial analytics—especially in pricing, customer segmentation, and churn/lifetime value modeling.
Proficiency in Python or R, SQL, and cloud platforms (e.g., AWS).
Experience working with large datasets and building production-ready models.
Strong business acumen and the ability to partner cross-functionally.
Master’s degree preferred; Bachelor's in Statistics, Mathematics, Computer Science, or related field required.

Nice to Have:

Previous experience in sales or customer analytics

IMPACT Technology Recruiting

Latest Jobs

Data Scientist