Principal Data Scientist* | Manila | Kuala Lumpur | Gurgaon
Philippines
About BHP
At BHP we support our people to grow, learn, develop their skills and reach their potential. With a global portfolio of operations, we offer a diverse and inclusive environment with extraordinary career opportunities. Our strategy is to focus on creating a safe work environment where our employees feel strongly connected to our values and objectives, and where the capability of our people is key to our success.
Come and be a part of this success.
About the Role
The Principal Data Scientist must have strong experience using various data mining/data analysis methods, using different data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be able to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Some of the essential functions are as follows:
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- This position will also help develop and deliver training modules to facilitate the roll-out of the new or redesigned processes & continuous improvements initiative
- Training and Development - train junior business analyst. Share best practices and develop career progression for fellow Analyst.
Secondary Functions
- Provide business information, analysis together with supporting data.
- Facilitate and help teams to create process maps, evaluate process “as is” state and Identify opportunities to increase the efficiency, effectiveness and business impact of assigned areas.
- Participate & facilitate teams to redesign assigned business processes including new process maps, procedures, develop and deliver associated training modules, communicate process changes.
- Lead automation of data flows & analysis.
- Share identified best practices across all relevant functions
- Communicate effectively with influence, and gain support from all levels of the organization on large scale business process changes.
- Participate on process audits and help institute process metrics to assess current process health of complex business processes.
- Relationship management
- Strong relationship needed with business, developers and system owners, to be able to navigate data form different platforms to provide optimum results
About You
- Candidates should hold a technical engineering or computer science degree or statistics or business math. Possessing or pursuing MBA or other relevant professional certification is a plus.
- Candidates should possess 5 years Data Science experience and be well familiarized with the project lifecycle concepts. Must have extensive relevant experience in building systemic solutions.
- Must have extensive programming experience in SQL, PL/SQL, Tableau, Python, R-programming, and other computer languages.
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- PowerBI / Tableau Experience
- Experience working with and creating data architectures (good to have).
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Excellent written and verbal communication skills for coordinating across teams.
- Demonstrates leadership skills – as shown in the ability to influence others and supervise others directly or indirectly through Project work.
- Flexible, with the ability to manage more than one project at a time and agile enough to be deployed to other teams periodically.
- 2+ years of experience in using AWS cloud and its resources/services
- Strong experience in Relational Databases (MySQL, SQL Server or PostgreSQL) and non-relational databases
- Strong experience in real-time data processing and data ingestion
- Strong experience in batch data processing and data pipelines
Successful candidate may be located in any of the locations below:
- Manila, Philippines
- Kuala Lumpur, Malaysia
- Gurgaon, India
About Our Process
At BHP, we are committed to employing individuals who align with the BHP Charter Values and meet the requirements of the role. As part of the recruitment process, there are a number of checks which may be conducted to demonstrate applicants suitability for a role including police / criminal background checks, medical, drug and alcohol testing, due diligence checks, right to work checks, and/or reference checks.
If you are already employed directly by BHP, please log in using your BHP email address or apply via our internal jobs portal.
Supporting a Diverse Workforce
The size, stability and magnitude of our business not only provides significant opportunity for professional development, but also attractive salary packages with performance-based bonuses and a best-in-class employee share program. We know there are many aspects of our employees' lives that are important, and work is only one of these, so we offer benefits to enable your work to fit with your life. These benefits include flexible working options, a generous paid parental leave policy, other extended leave entitlements and parent rooms.
At BHP, we know that we are strengthened by diversity. We are an Equal Opportunity employer that is committed to making BHP a safe and inclusive workplace where everyone can thrive and be at their best every day. We are focused on creating a workforce that’s more diverse and represents the communities where we work and live. providing a work environment in which everyone is included, treated fairly and with respect. We are an Equal Opportunity employer and recognise that true diversity includes gender, age, race, disability status, sexual orientation, religion, neurodiversity, education levels, and many more aspects of your identity.
BHP is committed to providing a recruitment process that is fair, equitable and accessible for all. If you have a disability, we know that it may be helpful for us to adjust our process to make it equitable for your individual situation. If you would like to reach out to someone about your situation and our recruitment process, please email us at inclusion@bhp.com.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Clustering Computer Science Data analysis Data Mining Data pipelines Engineering Machine Learning Mathematics MySQL Pipelines PostgreSQL Power BI Predictive modeling Python R RDBMS SQL Statistics Tableau Testing
Perks/benefits: Career development Equity Flex hours Health care Medical leave Parental leave Salary bonus
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs