Data Scientist

Who We Are

We are trusted modern technology leaders in:

• Agile Software Development
• Quality Assurance
• Cloud Consulting and Managed Services
• Data Engineering and Analytics
• Artificial Intelligence and Machine Learning

We use technology to enrich experiences empower businesses and uplift communities.

Our C.A.R.E. values:

• nourishCreativity
• embodyAgility
• manifestReliability
• pursueEvolution

The Role

The Data Scientist plays a key role in supporting the Data Teams vision of building a data ecosystem that delivers accurate timely and well-structured data to enable the cycle of data asset enrichment for broader enterprise impact. This role is both technical and strategic contributing to thedelivery of high-quality data and model solutionswhile also helping build data foundations throughactive involvement in data governance initiatives.

The Data Scientist will collaborate closely with bothinternal stakeholders(Product Leads Machine Learning Engineers and Software Developers) as well asexternal stakeholders (inc. other business units) as they enable use cases advance operational efficiency and effectiveness and champion data-driven culture.

The Benefits

At Stratpoint we enjoy the autonomy lack of bureaucracy and the freedom to experiment but without the chaos. Were like a startup but with adult supervision.

You will be supported by capable management of HR Finance and IT that adheres to the highest standards of integrity and good governance.

Hybrid is our mode of work but when we need to come together we have inviting open floor office spaces designed to spark gatherings collaboration and camaraderie.

Stratpoint employees enjoy:

• SSS Pag-ibig and Philhealth benefits company contribution
• a monthly miscellaneous allowance
• 13th month pay based on your monthly rate.
• Vacation and Sick leave
• Wellness programs such as Wellness Wednesdays
• HMO coverage
• Team buildings and quarterly events (company outings and festive celebrations for Chinese New Year Valentines Halloween and Christmas)
• And friendly intramural competitions

Your Team

You will be working with a team of AI Engineers Data Scientists and Software Engineers of different tech stacks depending on the project you will be assigned to under Labs.

Your Responsibilities

• Develop and implementforecasting models including time series andhierarchical forecasting frameworks(e.g. bottom-up top-down reconciliation methods)
• Applystatistical machine learning and deep learning techniquesto solve real-world prediction problems
• Design and maintainautomated data pipelines including data ingestion preprocessing model training and output generation
• Work withsparse noisy or incomplete datasets ensuring robustness and reliability of models
• Performdata analysis and visualization including the creation of clear and insightful forecasting graphs and dashboards
• Integrate data fromopen-source datasets and external data vendors
• Conductbasic web scrapingand/or developsynthetic data generationpipelines where data is limited
• Collaborate with cross-functional teams to translate business requirements into scalable AI solutions

About You

• Bachelors or Masters degree in Data Science Statistics Physics Math Computer Science Engineering or a related quantitative field
• Proven experience intime series forecasting and statistical modeling
• Solid understanding of: Machine Learning (e.g. regression tree-based models ensemble methods); Deep Learning (e.g. RNNs LSTMs Transformers for time series); Statistical methods (e.g. inference probabilistic modeling)
• Experience working withhierarchical or multi-level datasets
• Proficiency in Python common data science libraries and tools such as: NumPy Pandas Scikit-learn PyTorch/TensorFlow Nixtla; Data visualization frameworks (Matplotlib Seaborn Plotly); Fast API Streamlit Gradio; Docker Git; AWS (S3 RDS Redshift); SQL; Marimo (or similar reproducible notebooks); Databricks or similar platforms
• Experience building end-to-end data workflows including ingestion transformation modeling and output
• Strong skills in data visualization and graphical analysis
• Effective communication skills and able to clearly document work (pipelines flowcharts ERDs BRDs)

Nice to have:

• Experience inhealthcareorfinancial datadomains including cost optimization use cases
• Familiarity withsparse data modeling techniquesand uncertainty quantification
• Experience withdata engineering concepts(ETL pipelines data warehousing) and can integrate open-source and external data
• Exposure tocloud platforms(e.g. AWS GCP Azure)
• Knowledge ofMLOps practices(model deployment monitoring CI/CD for ML systems)
• Experience withweb scraping tools(e.g. BeautifulSoup Scrapy) orsynthetic data generation techniques
• Familiarity withdata governance including frameworks for data quality checks lineage security and compliance
• Familiarity withexperiment trackingandmodel versioningtools
• Experience withdistributeddata systems andscalablecomputing
• Understanding of optimization techniques and numerical methods

The requirements listed in this job description are guidelines not hard and fast rules. You dont have to satisfy every requirement or meet every qualification listed. If your skills are transferable and you are in the ballpark of what we are looking for we encourage you to submit an application. We look forward to getting to know you more!