Mid Level Data Scientist (Python) at WIZELINE

Mexico City, Mexico City, Mexico -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

0.0

Posted On

13 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Spark, SQL, Cloud-scale ML Pipelines, Model Deployment, Azure Databricks, MLflow, Causal Inference, Business Impact Modeling, Feature Engineering, Experimentation, Critical Thinking, Power BI, Mentoring, Data Science Strategy, Modeling Conventions

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: Key Responsibilities Lead end-to-end design of high-complexity models (deep learning, advanced forecasting, optimization). Partner with senior leadership to define data science strategy and roadmaps. Architect feature engineering frameworks, experimentation standards, and modeling conventions. Oversee deployment and integration of models using Spark and Databricks. Mentor and technically guide L1 and L2 Data Scientists. Review and standardize best practices for code, modeling, documentation, and validation. Communicate analytical direction to C-level and VP-level stakeholders. Must-have Skills Bachelor's in DS/CS/Stats/Math or equivalent experience; Master's preferred. 7+ years in applied data science with proven business impact. Skilled in Python, Spark, SQL, and cloud-scale ML pipelines. Skilled monitoring model's drift Strong experience deploying models in Azure Databricks using MLflow. Deep understanding of experimentation, causal inference, and business impact modeling. Strong critical thinking for ML + BI integration (Power BI preferred). Nice-to-have: Publications, open-source contributions, training, or conference participation. Exposure Data and AI governance, and enterprise data strategy. Leadership experience overseeing multi-project teams. 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

Lead the design of complex models and partner with senior leadership to define data science strategy. Oversee model deployment and mentor junior data scientists.