Okay, I've searched for Data Scientist roles in Phoenix, AZ that focus on pricing optimization and sales analytics, require 1+ years of experience, a Bachelor's degree in Computer Science or related fields, and offer hybrid or remote work options. I have found 142 positions matching your criteria.

Sure. Here's the analysis:

Job Analysis:

The Data Scientist I (Pricing & Sales) at Republic Services is fundamentally a problem solver and data translator hired to leverage advanced analytics and modeling to optimize pricing strategies and predict customer churn, directly impacting revenue and customer retention. The role demands end-to-end ownership of data science projects—from mining and cleaning big datasets to deploying machine learning models—requiring both technical prowess and strong business acumen. The collaboration with executives indicates this is not just a technical role but one requiring effective communication skills to present complex findings in a clear, actionable manner. Key challenges include working within a hybrid, cross-functional environment that involves extracting insights from diverse data sources related to pricing and sales, and then influencing business decisions based on those insights. Candidates must be comfortable interpreting causal relationships and time-series trends, as well as designing experiments to validate strategies. Success is measured by the candidate’s ability to produce models that enhance pricing optimization and churn prediction, and by how well they translate data into business value within a large, geographically dispersed organization. The explicit requirement of proficiency in Python or R, SQL, Excel, and PowerBI acknowledges the need to handle complex datasets and present insights visually and interactively. The inclusion of prerequisites such as a master’s degree and experience with multivariate techniques highlights the need for solid statistical foundations that underpin trustworthy model development and experimentation. The role’s hybrid setup with a Phoenix, AZ base signals a balance between independence and collaboration with local teams, implying that adaptability and communication across stakeholders at multiple levels will be crucial. To thrive, the candidate must navigate ambiguity in business questions, handle competing priorities across departments, and maintain the rigor needed to ensure analytical recommendations are both statistically sound and business-relevant.

Company Analysis:

Republic Services is a major player in the North American environmental services sector, positioning itself as a leader in sustainability and circular economy innovation. The company’s broad portfolio—from traditional waste collection to cutting-edge recycling and decarbonization initiatives—reflects a forward-looking organization committed to growth through technological and environmental advancements. Given its scale and complexity, Republic Services operates within a hybrid model that balances standardized practices with local autonomy, meaning the Data Scientist will function in an environment that values both consistency and operational flexibility. The culture appears mission-driven, emphasizing safety, environmental responsibility, and a human-centered approach—qualities that paint a picture of an ethical, inclusive workplace investing heavily in employee engagement and community impact. For a candidate, this means aligning with values beyond pure business metrics, focusing on sustainability and social good, which may also permeate into their analytical work by driving projects with a strong environmental and customer-centric lens. The scale of the company and its emphasis on innovation, especially in sustainability, suggests the role offers exposure to complex datasets and diverse stakeholder groups, including executive leadership. Strategically, the hire supports Republic’s growth and innovation ambitions by advancing analytics capabilities around pricing and sales — a critical lever for profitability and customer satisfaction in a competitive and regulated industry. This role is a growth- and impact-driven opportunity where the candidate’s outputs feed into critical business decisions that align with the company’s environmental stewardship and operational excellence goals.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to explain a complex data science concept to non-technical stakeholders. How did you ensure understanding and buy-in?
• Behavioral: Describe a situation where you identified an unexpected trend or anomaly in data. What steps did you take to investigate and resolve it?
• Behavioral: Share an experience where your analytical recommendations influenced a significant business decision. What was the outcome?
• Behavioral: Can you discuss a time when you worked on a cross-functional project? How did you manage differing priorities and communication challenges?
• Technical: How would you approach building a pricing optimization model given a large, noisy dataset with multiple pricing variables and customer segments?
• Technical: Explain the process you follow for validating a machine learning model intended to predict customer churn. What metrics and tests do you prioritize?
• Technical: Walk me through your experience designing and analyzing experiments (A/B tests). How do you ensure results are actionable and statistically robust?
• Technical: What strategies do you use to write efficient SQL queries for extracting and cleaning large datasets? Can you discuss any challenges you've faced?
• Situational: Imagine business leaders come to you with conflicting opinions about the pricing strategy. How would you use data to mediate and guide the decision?
• Situational: Suppose you detect that a deployed predictive model’s performance is degrading over time. What steps would you take to diagnose and address this?
• Situational: If asked to create a data-driven recommendation that supports both revenue growth and sustainability goals, how would you balance these potentially competing priorities?
• Company Fit: Why are you interested in applying your data science skills in the environmental services industry, specifically at Republic Services?
• Company Fit: How do your values around sustainability and community impact align with Republic Services’ mission and culture?
• Company Fit: What excites you most about working in a company that combines local operational management with standardized business practices?
• Questions for Interviewer: Can you describe how the pricing and sales analytics team interacts with other departments and senior leadership here?
• Questions for Interviewer: What are the key challenges or opportunities Republic Services anticipates in pricing and sales analytics over the next 12 months?
• Questions for Interviewer: How does Republic Services support continuous learning and development for data scientists to stay current with evolving analytics technologies?