Data Scientist
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Job Summary
Job Title: Data Scientist
Job Location: Chennai India
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 Trimbles 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 Trimbles 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; its a journey of growth learning and impact in a leading-edge tech environment. If youre eager to leverage your data science skills to drive innovation and growth were 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
2 to 4 Years of relevant experience in Data Scientist roles.
Strong expertise in descriptive and predictive analytics data science and machine learning.
Proficiency in data analysis tools such as Excel R or Python and SQL.
Proficient in Data visualization tools like Tableau or Domo or PowerBI
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.
How to Apply: Please submit an online application for this position by clicking on the Apply Now button located in this posting.
Application Deadline: Applications could be accepted until at least 30 days from the posting date.
Join a Values-Driven Team: Belong Grow Innovate.
At Trimble our core values of Belong Grow and Innovate arent just wordstheyre the foundation of our culture. We foster an environment where you are seen heard and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter.
If you need assistance or would like to request an accommodation in connection with the application process please contact
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Trimble is transforming the way the world works by delivering products and services that connect the physical and digital worlds. Core technologies in positioning, modeling, connectivity and data analytics enable customers to improve productivity, quality, safety, and sustainability. ... View more
