Are you a highly analytical and detail-oriented individual with a passion for using data to drive business decisions? Do you thrive in a fast-paced, collaborative environment where your insights can make a meaningful impact? If so, Trimble is seeking a Customer Segment Data Scientist to join our dynamic team.As a Customer Segment Data Scientist, you will have the opportunity to apply your expertise in data analysis and modeling to uncover valuable insights about our customers and their behaviors. You will work closely with cross-functional teams to identify key trends and opportunities that will inform our marketing and sales strategies. To excel in this role, you must possess a strong background in statistics, data mining, and machine learning techniques, as well as excellent communication skills and a passion for problem-solving. If you are ready to bring your skills to a global leader in technology and innovation, we want to hear from you!
- Conduct in-depth data analysis using statistical and machine learning techniques to uncover valuable insights about customer segments and their behaviors
- Collaborate with cross-functional teams, including marketing and sales, to identify key trends and opportunities for business growth
- Develop and maintain predictive models and algorithms to support data-driven decision making
- Utilize data visualization tools to effectively communicate complex findings to non-technical stakeholders
- Stay informed on industry trends and best practices in data analysis and apply them to improve our processes and strategies
- Work with large and complex datasets, ensuring data integrity and accuracy
- Communicate results and recommendations to stakeholders, including senior leadership, in a clear and concise manner
- Continuously monitor and evaluate the effectiveness of data analysis strategies and make recommendations for improvements
- Use critical thinking and problem-solving skills to identify and resolve data-related issues and challenges
- Adhere to data privacy and security policies and procedures to ensure the protection of sensitive customer information.
Strong Analytical Skills: A Customer Segment Data Scientist At Trimble Must Possess A Strong Foundation In Data Analysis And Be Able To Interpret Complex Data Sets To Identify Trends And Patterns.
Knowledge Of Customer Segmentation Techniques: The Ideal Candidate Should Have Experience With Various Customer Segmentation Techniques, Such As Clustering, Regression, And Decision Trees.
Proficiency In Programming Languages: A Customer Segment Data Scientist Must Have A Strong Background In Programming Languages Such As Python, R, And Sql To Manipulate And Analyze Large Datasets.
Experience With Data Visualization: The Ability To Create Meaningful And Impactful Visualizations To Communicate Insights To Non-Technical Stakeholders Is A Crucial Skill For This Role.
Strong Communication And Collaboration Skills: As A Customer Segment Data Scientist, The Ability To Effectively Communicate Findings And Collaborate With Cross-Functional Teams Is Essential For Success.
Sql
Python
Data Analysis
Market Research
Machine Learning
Data Visualization
Data Mining
Statistical modeling
Predictive analytics
Customer segmentation
R programming
Customer Insights
Communication
Emotional Intelligence
Leadership
Time management
creativity
Organizational skills
Teamwork
Active Listening
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Customer Segment Data Scientist is $85,000 - $130,000 per year. However, this can vary depending on factors such as experience, location, and industry. Some companies may offer higher salaries for this role, especially in industries that heavily rely on customer data analysis, such as ecommerce or marketing. Additionally, individuals with advanced degrees or specialized skills in data science may also command higher salaries in this role.
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Trimble Inc. is a Sunnyvale, California-based developer of receivers, laser rangefinders, unmanned aerial vehicles, inertial navigation systems and software processing tools.

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