Data Scientist

Posted 4 Days Ago
Be an Early Applicant
Hiring Remotely in México
Remote
Mid level
Information Technology • Consulting
The Role
Lead end-to-end data science projects, developing predictive, forecasting, segmentation, clustering, churn, optimization, and NLP models. Collaborate with Data Engineering and MLOps teams on Spark pipelines and Azure Databricks deployment. Standardize analytical practices and communicate actionable, data-driven insights to global business stakeholders.
Summary Generated by Built In

Data Scientist

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. As a Data Scientist, you will lead medium-complexity data science projects, build robust predictive models, and partner with cross-functional teams to translate analytical outputs into business impact.

Key Responsibilities

  • Own the end-to-end development of predictive and forecasting models, applying advanced statistical and feature engineering techniques.
  • Lead complex analyses, including segmentation, clustering, churn prediction, linear optimization, and NLP.
  • Collaborate with Data Engineers to optimize Spark pipelines and with MLOps engineers for deployment on Azure Databricks.
  • Standardize analytical templates and present data-driven insights to business partners with clear narratives and actionable steps.

Must-have Skills

  • Experience: 4+ years of experience in data science, analytics, or applied ML.
  • Language: Advanced English level (Essential for presenting ideas clearly and consulting with diverse global stakeholders).
  • Strong technical expertise in Python and SQL.
  • Proven experience with Spark and Databricks for scalable data processing.
  • Clear understanding of linear regression, clustering techniques, and experimentation methods (A/B testing, MLflow).
  • Strong storytelling and consultative skills to effectively explain complex solutions, answer business questions, and "sell" data-driven ideas.

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.
  • Experience with deep learning, modern NLP stacks (Transformers, spaCy), or cloud ML services like Azure ML.
  • Familiarity with CI/CD concepts or basic MLOps practices.

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.

Skills Required

  • 4+ years of experience in data science, analytics, or applied machine learning
  • Advanced English proficiency
  • Strong Python and SQL skills
  • Experience with Spark and Databricks for scalable data processing
  • Understanding of linear regression, clustering, experimentation methods, A/B testing, and MLflow
  • Strong storytelling and consultative communication skills
  • Experience with deep learning, modern NLP stacks such as Transformers or spaCy, or cloud ML services such as Azure ML
  • Familiarity with CI/CD concepts or basic MLOps practices
  • Proficiency with AI tools for drafting, analysis, research, or process automation

Wizeline Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Wizeline and has not been reviewed or approved by Wizeline.

  • Healthcare Strength — Core coverage spans medical, dental, vision, life and disability insurance, with private medical commonly included in Mexico. Additional support such as EAP and wellness programs is also referenced.
  • Leave & Time Off Breadth — Paid vacation, holidays, sick leave, volunteer time, and parental leave are called out, alongside flexible or remote work options. Unlimited PTO is mentioned in some contexts.
  • Retirement Support — Savings and retirement elements appear across regions, including a 401(k) in the U.S. and a savings fund and profit sharing in Mexico. These components provide structured long-term financial benefits.

Wizeline Insights

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The Company
HQ: New York, NY
1,444 Employees
Year Founded: 2014

What We Do

Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.

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