Applied Data Scientist (Machine Learning)

About the role

Process millions of daily telemetry data points from maritime vessels to improve operational efficiency, reduce fuel consumption, and increase vessel uptime. Bridge the gap between statistical modelling and product engineering by turning complex sensor data into intelligent, customer-facing platform features.

Key responsibilities

• Analyse high-frequency time-series datasets from engine diagnostics, fuel meters, and GPS systems to uncover hidden operational patterns and product opportunities.
• Design, train, and validate statistical and machine learning models tailored for anomaly detection, predictive maintenance, operational mode classification, and time-series forecasting.
• Build rapid proof-of-concept algorithms for new product features and evaluate their performance against real-world business constraints.
• Partner with backend and data engineers to translate research code into scalable, production-ready microservices and streaming pipelines.
• Develop algorithms for route classification and fleet-wide benchmarking while communicating findings clearly to product managers and client stakeholders.

About you

• Strong hands-on proficiency in Python (Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow) paired with advanced SQL skills.
• Solid background in statistical analysis, time-series forecasting, trend decomposition, and core machine learning techniques (supervised/unsupervised learning, anomaly detection).
• Proven track record of feature engineering on large-scale continuous datasets derived from dynamic or physical systems.
• Practical experience taking models beyond Jupyter notebooks and collaborating with engineering teams to deploy them into live software features.
• Sharp analytical problem-solving skills with the ability to explain complex technical concepts clearly to non-technical partners.
• Prior experience handling raw IoT, telematics, or physical sensor data (GPS tracking, vibration, temperature, fluid flow rates).
• Background in industrial analytics, predictive maintenance, asset health monitoring, route classification, or maritime domain operations.
• Familiarity with modern time-series and columnar databases (ClickHouse, InfluxDB), cloud infrastructure (AWS), containerization (Docker), or MLOps frameworks.
• Experience working with geospatial data tools such as GeoPandas, Shapely, or PostGIS.

About us

BSA Solutions Inc. is a talent outsourcing company with offices in the Philippines and Malaysia. We guide, inspire, and empower young talents to be the heroes that drive business growth. We are more than just a workplace—we are a family. We create a satisfying work environment, one where you'll look forward to coming to every day. A place where the best and brightest minds meet to build a community of successful companies.

Benefits

• Financial Security: Enjoy a stable and competitive salary along with a comprehensive benefits package, including private health insurance and paid time off.
• Structured Career Growth: Benefit from clear advancement opportunities, dedicated mentorship, and personalised training programs that go beyond a typical job.
• Community and Support: Become part of a collaborative, dynamic team. You'll work in a supportive environment where you can build strong professional relationships and grow together.
• Global Career Opportunities: Work with leading companies from around the world and gain international exposure, all from the comfort of your home country.