Total 2 Others/Any technology development job vacancies in 14f the globe tower

At First Gen we take pride in our work of energizing the Philippines through clean power generation technologies. As we grow to become the best in the industry, we are continuously searching for talent who are driven, empowered, and passionate about making a positive difference in the world.

We provide employees with ample opportunities and resources that enable them to perform at their best, contribute value, and help us achieve our Mission of “forging collaborative pathways for a decarbonized and regenerative future.”

First Gen wants you to be good at your job and be successful at it.  To this end, we will invest in your professional and personal growth by providing you with the right tools to effectively carry out your role as well as learning and development opportunities to advance your career.

Key Responsibilities:

1. Project Planning, Scoping, Contracting and Implementation

Performs a wide range of support and facilitation functions to help accomplish project development activities from project scoping to project implementation, such as

• a. Providing inputs for Terms of Reference(TOR), Employer Requirements(ER) and Invitation to Tender(ITT), as applied

• b. Conducting site visits

• c. Assisting in the shortlisting of firms, tendering, evaluation and selection of contractors and consultants

• d. Assisting in the preparation of contractor agreements

• e. Supporting the management of contractor/consultant performance of works by reviewing submissions and compliance with the contract terms and conditions finalization of the project contract.

2. Legal and Regulatory Compliance

• a. Provides inputs in completing the documents necessary for securing permits and licenses (agencies, LGU’s, etc.) to support legal and regulatory compliance and ensure each project is properly authorized prior to implementation

3. Stakeholder Engagement and Presentations

• a. Support conduct of project presentations, information and education campaigns (IEC) and stakeholder engagement sessions

Qualification Requirements:

• Graduate of Engineering Course (Civil, Electrical, Mechanical)

• Professional License/Certifications - Licensed Engineer

• At leat 5 years of experience.

At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description

Data Management and Exploration

• Extraction, exploration and manipulation of large and complex data sets
• Designing and derivation of transformed variables for predictive modeling/advanced analytics
• Develop big data framework combining telco data with various external sources of data (digital, social, etc) to get a 360-degree view of the customer
• Help internal stakeholders in understanding, interpreting and analyzing massive data sets

Data Analytics and Modeling:

• Understand and translate business problems into data science projects.
• Perform data modeling and create sophisticated analytics models. Implement and test data modeling designs. Use advanced math and statistics expertise using massive (beyond 500GB)
• data. Use modern data analytical techniques working with information retrieval, machine learning, matrix and graph algorithms, unsupervised clustering & data mining to solve business
• problems
• Track model accuracy and effectiveness
• Identify model fine-tuning needs; Measure ROI from models developed
   

Campaign Expertise

• Translate model into results. Draws out and communicates useful insights, actionable interpretations, alternative approaches and solutions.
• Identify opportunities for the application of customer analytics techniques for the business, particularly for credit scoring.
• Use learnings from models to prioritize and sequence initiatives; Collaborate with business sponsors and different stakeholders to operationalize analytic findings.
   

Knowledge Transfer and Collaboration

• Support internal stakeholders in use of data and various analytical tools to generate and communicate insights
• Provides training, demonstration, documentation and other support to drive the change management process and expand the use of analytics throughout the organization
• Support the drive for change management process to ensure the analytical developments are adopted by relevant internal teams.
• Develop relationships with external data and analytics partners and interact as needed.
• Keep updated with new data science techniques and be extremely knowledgeable of industry standards and trends.

HIRING REQUIREMENTS

Work Experience

Minimum of three (3) years’ experience in customer analytics domain and/or credit risk assessment and financial services, covering most of the following:

• Data mining, predictive modeling, machine learning, statistical modeling and analysis, large scale data acquisition, transformation, and cleaning, both structured and unstructured data
• Proven track record of leading and collaborating on advanced analytics strategic initiatives; Proven track record of operationalization of analytic models in collaboration with marketing/risk and IT teams
• Worked with large, unfiltered data sets or data science research

Level of Knowledge

Has Knowledge of both structured and unstructured data.
Must possess core competencies, deep understanding and relevant experience in:

• Scripting or programming experience: familiarity in programming languages with relational databases (e.g. Python, Java, Ruby, Clojure, Matlab, Pig, SQL);
• Statistical Analysis: advanced usage of off-the-shelf tools such as R, SAS, SPSS, Weka and other analytical tools or software
• Big Data: Experience with Big data tools such as HDFS, Cassandra, Storm
• Database knowledge: skilled in structured database

Familiar with most of the following disciplines:

• Conceptual modeling: to be able to share and articulate modeling;
• Predictive modeling: most of the big data problems are towards being able to predict future outcomes;
• Hypothesis testing: being able to develop hypothesis and test them with careful experiments
• Natural Language Processing: the interactions between computer and humans
• Machine learning: using computers to improve as well as develop algorithms;
• Statistical analysis: to understand and work around possible limitations in models.

Education:

• Degree in quantitative discipline such as Statistics, mathematics, Operations Research, Engineering, Computer Science, Econometrics or Information Science such as Business Analytics or Informatics

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.