Data Scientist

 Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics. 

• Work on end‑to‑end classification and forecasting use cases, including problem framing, data preparation, model development, evaluation, and basic deployment support (e.g., demand forecasting, churn prediction).
• Explore and clean data; perform Exploratory Data Analysis (EDA) to understand datasets and identify data quality issues.
• Engineer features for tabular and time‑series data. Train, validate, and tune standard Machine Learning models (e.g., logistic regression, decision trees, ensemble methods, gradient boosting, classical time‑series models, simple neural networks).
• Evaluate models using appropriate metrics with clear impact on business KPIs.
• Build clear visualizations and deliver concise reports to present insights and model results to business stakeholders.
• Collaborate with data engineers and AI engineers to bring models to production (batch scoring, APIs, monitoring, dashboards).
• Document data sources, modeling assumptions, and experiment results in a reproducible manner (notebooks, reports, wikis).
• Translate business needs into technical goals by defining success metrics, auditing data feasibility, and aligning with stakeholder expectations.
• Participate in pre‑sales activities (for senior consultant level).

What We're Looking For:

• Commercial experience with various classical data science and ML models (e.g., decision trees, ensemble models, linear/logistic regression)
• Strong knowledge of customer analytics concepts or advanced forecasting techniques.
• Experience in Hyperparameter tuning, Model validation frameworks, Requirements gathering and translating business needs into technical plans, and Feature engineering and model evaluation
• Previous experience in an analytical role supporting business functions (a plus).
• Fluency in Python and working knowledge of SQL.
• Knowledge of common DS/ML libraries.
• Solid experience with at least one cloud platform: Databricks, GCP, or Azure.
• Basic computer programming skills and understanding of core programming concepts.
• Strong business acumen.
• Experience with advanced modeling techniques such as deep learning or reinforcement learning (a plus).
• Ability to develop creative solutions to customer challenges.

Nice to have:

• Understanding of causal machine learning.
• Experience working with big data and distributed computing environments.
• Proven commercial experience with successful forecasting projects.
• Experience with Object-Oriented Programming (OOP) in Python.
• Experience with MLOps practices and tooling.
• Familiarity with additional languages such as R or Scala.

Offer

• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office. 
• Flexibility regarding working hours and your preferred form of contract.
• Comprehensive online onboarding program with a “Buddy” from day 1.   
• Cooperation with top-tier engineers and experts. 
• Unlimited access to the Udemy learning platform from day 1.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly. 
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Internal Gallup Certified Strengths Coach to support your growth.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.   
• Autonomy to choose the way you work. We trust your ideas. 
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your well-being and health.
• Plenty of opportunities to donate to charities and support the environment.
• Great Place to Work Certified Employer in the Philippines