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Data Scientist (Clustering experimentation and Analysis) at WIZELINE

Mexico City, Mexico City, Mexico -

Full Time

Start Date

Immediate

Expiry Date

25 Feb, 26

Salary

0.0

Posted On

27 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Clustering Experimentation, Segmentation, Analysis, Statistics, Data Science, Econometrics, Marketing Analytics, Unsupervised Learning, Clustering Techniques, Feature Engineering, Machine Learning, Scikit-learn, PySpark, Data Visualization, Storytelling

Industry

IT Services and IT Consulting

Description

We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact. With the right people and the right ideas, there’s no limit to what we can achieve Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role: Must-have Skills: 2 years of hands-on experience in clustering experimentation, segmentation, and analysis. Bachelor’s or Master’s degree in Statistics, Data Science, Econometrics, or Marketing Analytics. Proven experience combining a strong statistical background with marketing science or behavioral analytics Solid understanding and practical use of unsupervised learning and clustering techniques Proficiency in feature engineering for machine learning applications. Demonstrated experience in applied machine learning using scikit-learn and PySpark. Strong ability in data visualization and storytelling to effectively communicate findings and support data-driven decision-making. Nice-to-have: AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. Advanced Customer Segmentation What we offer: A High-Impact Environment Commitment to Professional Development Flexible and Collaborative Culture Global Opportunities Vibrant Community Total Rewards *Specific benefits are determined by the employment type and location. Find out more about our culture here.

Responsibilities

The Data Scientist will conduct clustering experimentation and analysis to support data-driven decision-making. They will leverage their statistical background and machine learning skills to derive insights from data.