Senior Data Scientist

TechWish; Mexico; On-site; PHP 4,947,433 - 7,421,150; Full time

Job summary

TechWish is recruiting a hands-on Senior Data Scientist to lead end-to-end data science initiatives in real-world business settings. You will own model development, evaluation, deployment, and ongoing improvement, ensuring production-grade reliability and governance.

The role emphasizes Generative AI, agentic workflows, and optimization work in CP G domains such as sales, finance, and supply chain. You will collaborate with product, engineering, and business teams, translating complex problems

Qualifications

• 5+ years hands-on data science experience delivering production-grade solutions.
• Expertise in traditional ML techniques and time series forecasting.
• Experience designing optimization models for demand planning, inventory, or resource allocation.
• Proven track record with Generative AI initiatives and LLM-based solutions.
• Hands-on experience deploying AI agents and orchestration in production.
• Strong CP G domain knowledge in Sales, Finance, or Supply Chain.
• Ability to translate business problems into scalable AI solutions with cross-functional partners.
• Proficient in Python and data science stack; cloud platforms and MLOps.

Responsibilities

• Hands-on data exploration, model development, evaluation, and deployment.
• Operationalize agentic workflows and monitor performance in production.
• Collaborate with product, engineering, and business teams to translate problems into AI solutions.
• Drive continuous improvement and scalability of AI systems.

Skills

Data science

Production-grade ML

Time series forecasting

Optimization models

Generative AI

LLM-based solutions

Agentic workflows

Python

Cloud platforms

MLOps

Cross-functional collaboration

CPG domain knowledge

Data exploration

Tools

Pandas

scikit-learn

statsmodels

PyTorch

TensorFlow

MLOps

Job description

• s5–8 years of hands-on experience in data science, with a strong track record of delivering production-grade solutions in business environments
• .Deep expertise in traditional machine learning techniques, including time series forecasting (e.g., ARIMA, SARIMA), regression models, and other statistical methods applied to real-world datasets
• .Proven experience designing and implementing optimization models (e.g., linear programming, mixed-integer programming, heuristics) to solve complex business problems such as demand planning, inventory optimization, or resource allocation
• .Recent, demonstrable experience working on Generative AI initiatives, including LLM-based solutions and agentic workflows (e.g., autonomous agents, multi-step reasoning pipelines, tool-augmented AI systems)
• .Hands-on experience in designing, deploying, and operationalizing agentic workflows in production environments, including orchestration, tool integration, monitoring, and performance optimization of AI-driven agents
• .Strong domain knowledge in Consumer-Packaged Goods (CPG), with hands-on experience in at least one functional area: Sales (e.g., demand forecasting, pricing), Finance (e.g., revenue/margin analytics), or Supply Chain (e.g., planning, logistics, inventory)
• .Ability to translate business problems into scalable analytical and AI-driven solutions, partnering closely with cross-functional stakeholders such as product managers, engineers, and business teams
• .100% hands-on role with active involvement in data exploration, model development, evaluation, deployment, and continuous improvement
• .Proficiency in Python and relevant data science ecosystems (e.g., pandas, scikit-learn, statsmodels, PyTorch/TensorFlow), along with experience in cloud platforms and MLOps practices