Search for Data Scientist positions in Phoenix, AZ, requiring 3+ years of experience with Python and SQL, preferably in the logistics industry, and with a Master's degree.

Okay, I've searched for Data Scientist positions in Phoenix, AZ, requiring 3+ years of experience with Python and SQL, preferably in the logistics industry, and with a Master's degree. I have found 32 positions for you.

Data Scientist

Phoenix, AZ

3 years + Experience

Python

SQL

Master

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Data Scientist II (Ops & Fleet) at Republic Services is fundamentally about leveraging data to drive decision-making and operational efficiency within the environmental services sector. This involves applying advanced analytics techniques, such as machine learning and statistical modeling, to analyze existing data and extract actionable insights that address business problems. Success in this position hinges not just on technical expertise with programming languages like Python and R, but also on the ability to communicate complex findings in an accessible manner to stakeholders at all levels. Candidates will likely face challenges in integrating disparate data sources, managing stakeholder expectations, and innovating solutions in a rapidly evolving industry that balances sustainability with logistical efficiency. As such, the role requires a blend of analytical prowess, communication skills, and an understanding of industry-specific dynamics, particularly around recycling and operational efficiency. To excel, an individual must also display a proactive approach to experiment design and evaluation, translating their analytical findings into strategic initiatives that align with the company's sustainability goals.

Company Analysis:

Republic Services operates as a leader in the environmental services industry, managing a comprehensive array of waste and recycling services across North America. Their mission-driven approach emphasizes sustainability and environmental responsibility, positioning them as an innovative force amidst a critical sector undergoing significant transformation toward circularity and decarbonization. The company prides itself on an inclusive culture that fosters engagement and values diverse contributions, which speaks to its high employee engagement score. In this context, the Data Scientist II role is not merely a technical position but is integral to the company's larger strategy of enhancing service offerings through data-driven solutions. The organizational culture prioritizes safety, innovation, and a human-centered approach, indicating that candidates will thrive if they embody these values and can align their technical contributions with the firm’s sustainability objectives. The role will likely involve collaboration across teams, offering visibility to leadership and opportunities to directly influence strategic decision-making, especially as the company seeks innovative solutions to complex waste management challenges.

Mock up some interview questions based on the job description.

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

Tell me about a time when you had to analyze a large dataset to derive actionable insights. What was your approach and what were the outcomes?
Describe a complex data science project you've worked on from start to finish. What were the key challenges you faced?
How do you prioritize multiple data requests from various stakeholders? Give an example from your past experience.
Can you provide an example of a time when you had to communicate complex technical information to a non-technical audience? How did you ensure your message was understood?
How would you approach building a machine learning model to optimize waste collection routes for Republic Services? What factors would you consider?
What experience do you have with cloud computing environments, specifically AWS, in the context of data science projects?
Describe your process for validating and evaluating the effectiveness of a statistical model you've developed.
If given a dataset with customer recycling habits, how would you identify trends and inform potential changes in service offerings?
Imagine you're tasked with improving operational efficiency through data analytics at Republic Services. What initial steps would you take?
Why are you interested in working at Republic Services specifically, and how do you see your role as a Data Scientist contributing to the company's sustainability mission?
What aspects of our company culture resonate with you, and how do you envision aligning your work with our core values?
What questions do you have about the team you'll be working with and the key projects in the pipeline?
How do you maintain your technical skills, and what recent developments in data science or machine learning are you particularly excited about?
In your view, what are the biggest challenges facing the environmental services industry today, and how can data science contribute to overcoming them?

Job Details

Overview Company

Data Scientist II

Lensa

14 days ago

Highlight

HybridFull-time3+ yearsMid

Summary

Republic Services is seeking a Data Scientist II (Ops & Fleet) to join their team in Phoenix, AZ. The role involves driving internal data analytics projects, including the implementation of advanced predictive and machine learning models.

About the Role

As a Data Scientist II, you will research and resolve data inquiries, provide insights, and support the development of standard data analyses, reports, and dashboards. You will collaborate with other teams, perform time-series analyses, design experiments, build statistical models, and translate machine learning capabilities for non-technical audiences. You will participate in the end-to-end data science project lifecycle and create presentations for senior leaders.

About You

Required:

Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).
3 years of experience with advanced programming in Python or R and SQL.
Experience conducting complex statistical analysis and building machine learning algorithms with large databases in cloud computing environments.

Preferred:

Master’s degree.
Experience with common commercial analytics topics or operational analytics topics.
Knowledge of logistics and supply chain.
Applied experience with experimental design, time series modeling, and optimization.
Experience developing production-ready code and model pipelines.

Benefits

Comprehensive medical benefits coverage, dental plans, and vision coverage.
Health care and dependent care spending accounts.
Short- and long-term disability.
Life insurance and accidental death & dismemberment insurance.
Employee and Family Assistance Program (EAP).
Employee discount programs.
Retirement plan with a generous company match.
Employee Stock Purchase Plan (ESPP).

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Phoenix, AZ