Data Scientist (Senior)

team.blue; España; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

team.blue is seeking an experienced Data Scientist to enhance our Data & Analytics team. This role involves influencing decision-making and shaping the organization’s future through actionable insights derived from complex datasets. You will work with cross-functional teams to design data-driven solutions aligned with company goals.

Candidates should have a degree in Data Science or a related field, at least 5 years of relevant experience, and a solid understanding of business operations. Proficiency in Python, SQL, and machine learning frameworks is essential.

Qualifications

• 5+ years of experience in data science solving complex business problems.
• Strong analytical thinking with the ability to handle unstructured data.
• Ability to translate technical insights into business recommendations.

Responsibilities

• Develop business insights using data to align with strategic objectives.
• Collaborate to define data science roadmap based on business needs.
• Build and maintain predictive models for forecasting trends.
• Analyze complex datasets to extract actionable insights.
• Advise on improving the data science pipeline.
• Work with teams to ensure data solutions meet requirements.
• Stay updated with trends in data science and AI.

Skills

Data analysis

Predictive modeling

Machine learning

Technical communication

Problem solving

Education

Degree in Data Science, Statistics, Mathematics, or Computer Science

Tools

Python

R

Scala

TensorFlow

Scikit-learn

SQL

AWS

Azure

Hadoop

Spark

Job description

Position Overview

We are looking for an experienced Data Scientist to join our Data & Analytics team. As a Data Scientist you will not only bring technical expertise but also a deep understanding of business operations and strategy. Your work will directly influence decision-making and help shape the future of our organization through actionable insights drawn from complex datasets. You will collaborate with cross‑functional teams, including business leaders, product managers, and engineers, to design and implement data‑driven solutions that align with the company's goals. You will be expected to translate complex data into business value, leveraging machine learning, predictive modeling, and statistical analysis.

Key Responsibilities

• Business Insight Development: Understand the key business challenges and opportunities, and use data to develop solutions that align with strategic objectives.
• Data Strategy: Collaborate with leadership to define the data science roadmap and priorities based on business needs and opportunities.
• Predictive Modeling & Machine Learning: Build, deploy, and maintain machine learning models to forecast trends, optimize processes, and drive business outcomes.
• Data Analysis & Visualization: Analyze large, complex datasets to extract actionable insights, and present findings to both technical and non‑technical stakeholders.
• Data science pipeline: Advise, build and continuously improve the data science pipeline which best responds to team.blue analytics needs.
• Cross‑functional Collaboration: Work closely with business leaders, product teams, and engineers to ensure that data solutions meet business requirements.
• Continuous Improvement: Stay up to date with the latest trends in data science, AI, and machine learning to continuously improve the team's capabilities.

Requirements

• Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 5+ years of experience in data science, with a proven track record of solving complex business problems using data.
• Strong understanding of business operations and the ability to align data science projects with business objectives.
• Communication Skills: Ability to translate technical insights into business recommendations and communicate with stakeholders at all levels.
• Problem‑solving: Strong analytical thinking with the ability to handle complex and unstructured data.
• Technical Skills:
  • Proficiency in programming languages such as Python, R, or Scala.
  • Experience with machine learning frameworks (e.g., TensorFlow, Scikit‑learn).
  • Experience with SQL and working with large data sets.
  • Familiarity with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Hadoop, Spark).