Lead/Senior Data Scientist

Lingaro Group Philippines; Manila; On-site; PHP 650,000 - 1,150,000; Full time

Benefits offered by this job

Workation

Great Place to Work certification

Udemy platform access

Certificate training programs

Well-being activities

Charity donations

Job summary

Lingaro Group Philippines is seeking a talented Data Scientist/ML Engineer to develop forecasting and customer analytics solutions and collaborate with business stakeholders to translate problems into machine learning goals.

You will work on end-to-end classification and forecasting tasks, feature engineering, model evaluation, and deployment support, using Python, SQL, and standard ML libraries across Databricks, GCP or Azure. A passion for rigorous analytics is essential.

Qualifications

• Proficient in Python and SQL with experience in DS/ML libraries.
• Solid knowledge of customer analytics concepts or advanced forecasting.
• Model hyperparameter tuning and validation frameworks.
• Experience transforming business requirements into technical plans and data processing pipelines.

Responsibilities

• Work on end-to-end classification and forecasting use cases: problem framing, data preparation, model development, evaluation and basic deployment support.
• Explore and clean data; perform EDA to understand data and flag data quality issues.
• Engineer features for tabular and time-series data.
• Train, validate, and tune standard ML models (e.g., logistic regression, tree-based models, gradient boosting, simple neural nets, classical time-series models).
• Collaborate with data engineers to bring models into production (batch scoring, APIs, dashboards).
• Document data sources, modeling assumptions, and experiment results in a reproducible way.

Skills

Python

SQL

ML libraries

Forecasting

Customer analytics

Model validation

Hyperparameter tuning

Data visualization

Tools

Databricks

GCP

Azure

Job description

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.

Our team is delivering business solutions with Machine Learning and Data Science often turning them into scalable platforms including non-trivial and innovative solutions in the space of Forecasting and Customer Analytics often leveraging cutting-edge Causality frameworks. Example projects in this area: Next Best Offer/Action, propensity modeling, churn modeling, forecasting of demand and sales, revenue growth management, etc. This role requires close collaboration with business stakeholders, and the ability to understand their problems and translate them into machine learning ones.

Tasks:

• Work on end-to-end classification and forecasting use cases: problem framing, data preparation, model development, evaluation and basic deployment support (e.g. demand forecasting, churn prediction).
• Explore and clean data; perform EDA to understand data and flag data quality issues.
• Engineer features for tabular and time-series data.
• Train, validate, and tune standard ML models (e.g. logistic regression, tree-based models, gradient boosting, simple neural nets, classical time-series models).
• Evaluate models with appropriate metrics that have impact on business KPIs.
• Build clear visualizations and concise reports to present model results and insights to business stakeholders.
• Collaborate with data engineers and AI engineers to bring models into production (batch scoring, APIs, models monitoring, dashboards).
• Document data sources, modeling assumptions, and experiment results in a reproducible way (notebooks, reports, wikis).
• Business understanding and translating problems into technical goals by defining success metrics, auditing data feasibility, and aligning stakeholder expectations.
• Pre-sales activities (at senior consultant level).

Requirements:

• Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.).

• Solid knowledge of customer analytics concepts or advanced forecasting.

• Model hyperparameter tuning.

• Model validation frameworks.

• Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation.

• Previous experience in an analytical role supporting business will be a plus.

• Fluency in Python, basic working knowledge of SQL.

• Knowledge of specific DS/ML libraries.

• Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure).

What Will Set You Apart:

• Understanding of Causal machine learning.
• Experience in working with big data and distributed environments would be a plus.
• Commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus.
• Experience with OOP in Python.
• Experience with MLOps.
• Familiarity with other languages R, Scala would be a plus.

General:

• Basic computer programming skills and familiarity with programming concepts.
• Strong business acumen.
• Experience with deep learning, reinforcement learning or other advanced modeling concepts in Classical Data Science problems.
• Ability to come up with creative solutions to address customer problems.

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

We offer:

• Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites.

• Workation. Enjoy working from inspiring locations in line with our workation policy.

• Great Place to Work® certified employer.

• 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.

• 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.

• Modern office equipment. Purchased for you or available to borrow, depending on your location.