Applied Data Scientist

JOB TITLE: APPLIED DATA SCIENTIST

LOCATION: CEBU CITY

WORK ARRANGEMENT: REMOTE

EMPLOYMENT TYPE: FULL-TIME

SHIFT: 07:00 AM-04:00 PM

COMPANY DESCRIPTION

About BSA Solutions

Come be a part of BSA Solutions Inc., where we're not just offering jobs; we're building careers. With offices in both the Philippines and Malaysia, we offer a wide range of diversified roles across various industries, from accounting and IT to marketing and human resources. We are a dynamic, fast-growing company committed to nurturing an inclusive and supportive workplace culture where you can thrive. With a focus on professional development, work-life balance, and competitive benefits, we offer the right environment to grow both personally and professionally. If you are a talented professional eager to contribute to a world-class team and work with global clients, your next great career move is waiting for you right here.  A place where the best minds meet to build a community of successful companies.

WHAT DO WE OFFER

• Financial Security: Earn a stable, competitive salary benchmarked against market intelligence and aligned with your skills, experience, and role. Enjoy benefits that go beyond statutory entitlements, including HMO coverage for you and eligible dependents, life insurance, paid time off, long-service leave, Christmas shutdown, study assistance, and crisis financial support, subject to role and eligibility.

• Grow Your Career, Keep Learning: Know where you are going and how to get there. Our in-house designed WASP–Job Architecture makes career paths, role expectations, and progression requirements clear. Build the skills for your next step through Alexandria and our Centre of Excellence, with practical training, best-practice resources, specialist guidance, and continuous development.

• An Empowered Community That Has Your Back: Join 300+ colleagues who collaborate, celebrate wins, and support one another. Through Empower+ programs, Care Circle, and Lighthouse, we create meaningful opportunities for connection, recognition, wellbeing, mental health support, and spiritual reflection.

• Global Work, Local Opportunity: Work with 45+ leading international companies and gain global exposure without leaving your home country. Collaborate with subject-matter experts across Australia, the UK, Europe, the US, and the Middle East, while helping deliver exceptional outcomes. 

JOB SUMMARY

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

WHAT YOU’LL DO

• 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.

REQUIREMENTS

• 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.

Nice to Have:

• 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.

Ready to apply your expertise in a role that offers both stability and significant growth? If you have a passion for precision and a talent for supporting others, we want to hear from you.

Take the next step in your career and apply now to join our world-class team