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A leading technology firm in Mexicali is seeking a Data Scientist to drive growth strategies through data analysis. This role involves optimizing customer data, enhancing product adoption strategies, and using advanced analytics for business insights. Ideal candidates will have strong skills in data science, machine learning, and effective communication. Join us to make an impact in a leading-edge tech environment.
Job Title: Data Scientist
Job Location: Mexicali, Mexico
Our Division: Trimble AECO
About the Role
As a Data Scientist in our PLG team, you will play a pivotal role in steering the growth of Trimble’s diverse product portfolio. Your work will focus on analyzing comprehensive datasets, including customer, prospect, and market information, as well as detailed product usage data. Your insights will be critical in developing targeted growth strategies. Build upon Trimble’s advanced construction and engineering AI tools to enhance cross-selling strategies, empowering our sales team to more effectively tap into the vast opportunities within the construction industry.
This role offers the chance to be at the intersection of data science and business strategy, using analytical prowess to drive product innovation and market success. This is more than a job; it’s a journey of growth, learning, and impact in a leading-edge tech environment. If you’re eager to leverage your data science skills to drive innovation and growth, we’re excited to welcome you aboard.
What is Product-Led Growth?
PLG is an innovative business methodology where the product itself is the main catalyst for customer acquisition, expansion, conversion, and retention. It emphasizes creating products so compelling that they self-promote.
What You Will Do
Customer Data and Opportunity Analysis: Optimize customer acquisition and activation funnels, employing rapid experimentation and A/B testing.
Lifecycle Management: Enhance the customer journey, from onboarding experiences to product upgrades, supporting product-led sales strategies.
Barriers Identification and Strategy: Identify and address adoption barriers through research, feedback, and competitive analysis.
Data Analysis and Experimentation: Apply statistical techniques to interpret data and implement experiments aimed at boosting product adoption.
Research and Pricing Strategy: Conduct user research and pricing analysis, identifying upsell and cross-sell opportunities.
Growth Experiments: Lead growth experiments to improve user discovery, activation, and engagement with cloud products and services.
What Skills & Experience You Should Have
Strong expertise in descriptive and predictive analytics, data science and machine learning.
Proficiency in data analysis tools such as Excel, Tableau, R, Python, and SQL.
Demonstrated experience in leveraging analytics to drive business decisions in marketing and sales.
Excellent communication, documentation, and presentation skills, fluency in English is a must.
Trimble’s Inclusiveness Commitment
We believe in celebrating our differences. That is why our diversity is our strength. To us, that means actively participating in opportunities to be inclusive. Diversity, Equity, and Inclusion have guided our current success while also moving our desire to improve. We actively seek to add members to our community who represent our customers and the places we live and work.
We have programs in place to make sure our people are seen, heard, and welcomed and most importantly that they know they belong, no matter who they are or where they are coming from.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.