Data Scientist - Consumer Analytics

Lingaro Group Philippines; Manila; Hybrid; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Office as an option

Udemy learning platform

Certificate training programs

Upskilling support

Career growth from internal promotions

Autonomy to choose how you work

Job summary

Lingaro Group Philippines is seeking a skilled Data Scientist/ML Consultant to lead end-to-end analytics projects in Manila. You will understand business needs, prepare data, build models, evaluate results, and present ROI-driven recommendations to stakeholders.

The role offers a flexible “Office as an option” model with remote or on-site work, strong learning opportunities through Udemy, and extensive upskilling programs within a global team.

Qualifications

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

Responsibilities

• Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
• Analyzing and interpreting the findings
• Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
• Pre-sales activities (at senior consultant level)

Skills

Python

SQL

Data Analysis

Machine Learning

Cloud Platforms

OOP in Python

MLOps

Big Data

Forecasting

Business Acumen

Tools

Databricks

GCP

Azure

Scikit-learn

TensorFlow/PyTorch

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.

Tasks:

• Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
• Analyzing and interpreting the findings
• Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes
• Pre-sales activities (at senior consultant level)

What We're Looking For:

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

  • "Office as an option" model. You can choose to work remotely or in the office, depending on your location.

  • 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.

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