Lately, everything needs analytics, and LENA is a Philippine start-up that provides just that. We provide personalized end-to-end data solutions to both leaders of industries and to SMEs that are looking for an edge -- whether that is in data collection, data storage, data analytics, AI, data science or data strategy! Our objective goes beyond delivering solutions, but to enable clients to appreciate, learn, and integrate data-driven techniques and analytics for their organizations.
As part of our goal to enable transformation through data, we are looking for future leaders who are looking to improve themselves, and are excited to shape individuals, organizations, and even societies. As a LENA employee, you will be both an analytical and creative engineer who is able to grasp user needs, work together to create impactful solutions, and communicate business outcomes.

LENA is the trade name of Twelve Baskets Analytics, Inc.

--- COMPANY VALUES ---
PASSION FOR LEARNING AND INNOVATION
We appreciate the fact that everyone knows something others do not and no one knows everything they need to know. We learn from ourselves and one another. We practice an attitude of teaching and learning to grow as a team.
We value the journey of finding new and better ways of doing things. We continuously develop works of quality and innovate better practices.

WE AS A TEAM
We promote smart ideas and good collaboration working as a team. We understand and accept the value of feedback, listening, and following. We manage and lead our work in a manner that benefits everyone. We initiate and participate in developing ourselves, our work, our customers, and our workplace.

ENGINEERING AND ENTREPRENEURSHIP
We believe that our work must create value for our customers and ourselves. We approach each day with the initiative to solve business problems smartly and to automate as much as we can.

LENA - Lately, Everything Needs Analytics

We are looking for bright and talented Data Scientists to join our dynamic team here at LENA.

As a Data Scientist, you are responsible for managing data-related development pipelines. You will design and develop data science projects, review data-related code, and research on data packages.

Specifically, you may be tasked to perform the following:

<ul>
	<li>Designing data solutions with clients;</li>
	<li>Researching and understanding packages and technologies related to data science;</li>
	<li>Developing data solutions for internal or client use; and</li>
	<li>Managing data solutions development and improvement.</li>
</ul>

 

As part of a new team, you will help lay the culture and technical foundation for the team. You will enjoy growth opportunities working alongside a team that encourages intellectual excitement and a startup working environment. You will have the opportunity to bring your skills to the next level and acquire new ones along the way.

Data Scientist

Who we are:

Quantic is an Information Technology service and product company based in Jakarta, Indonesia and Mumbai, India, founded in 2017. We provide ready-to- use AI based solutions for some of the most common business use cases. We also have a portfolio of world-class products in Wealth Management, Lending & Collections as well as Digital Banking that we implement for your organization.

 

Our Team:

Our team has been in the forefront of technology and dealing with large mission- critical software projects for leading global organizations. Our consulting services bring to the table solid research in Data Science as well as in AI and Machine Learning techniques.

 

Our Value:

We are process-oriented, we follow global best-practices to ensure delivery. We value the robustness of software, and rigorous software engineering.

 

Our Goals:

If your organization is new to data-backed decision support analytics, then we will hold your hand and introduce you to this exciting journey. Our consultants will study your business and advise how you can benefit easily at low cost. We will launch a low-risk pilot project to show quick benefits to your stakeholders and build the organization’s confidence in developing an AI based analytics system for long-term value. We will completely align with your business goals, your processes and policies, and work as an extension of your own team.



Quantyc.ai

<ul>
	<li class="text-justify">Apply your knowledge of data science techniques and methodologies to solve complex business problems through data analysis and modelling.</li>
	<li class="text-justify">Collaborate with cross-functional teams to identify, collect, and pre-process relevant data for analysis.</li>
	<li class="text-justify">Develop and implement machine learning algorithms and models using Python and relevant libraries.</li>
	<li class="text-justify">Conduct exploratory data analysis, feature engineering, and data visualization to gain insights and identify patterns.</li>
	<li class="text-justify">Assist in the evaluation and selection of appropriate statistical models and machine learning algorithms based on project requirements.</li>
	<li class="text-justify">Collaborate with the full stack development team to integrate developed models into production systems.</li>
	<li class="text-justify">Validate and fine-tune models using appropriate performance metrics and statistical techniques.</li>
	<li class="text-justify">Stay up-to-date with the latest trends and advancements in the field of data science and machine learning.</li>
	<li class="text-justify">Communicate findings and insights effectively to technical and non-technical stakeholders through reports, presentations, and visualizations.</li>
	<li class="text-justify">Adhere to data privacy and security standards throughout the data analysis process.</li>
</ul>

Junior Data Scientist

LeapFroggr Inc. is a technology company that operates SeriousMD & NowServing. Together, SeriousMD & NowServing is a healthcare platform, whose sole mission is to "improve healthcare through technology."

Our company culture revolves around excellence, family and community, cooperation and sharing.

LeapFroggr Inc.

We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Senior Data Scientist

Healthy Options is the first and largest all-natural and organic products retailer in the Philippines,
specializing in premium and natural food and health products.

Established in 1995, we have grown to expand our organization, creating three other equally passion-driven brands: Bow and Wow, our niche market for cats and dogs; Wine Story, a fine and rare wine retailer; and Planet Grapes, an upscale wine shop and restaurant that caters to the new generation of wine lovers.

We’re looking for the best talent who can help take our business to the next level, all while having fun and helping the world at the same time. If you believe you have what it takes, feel free to browse through the different job openings we have and see where you can fit in!

Healthy Options, Corp.

<ul>
	<li>Apply exploratory or predictive analytics to solve business problems.</li>
	<li>Develop and support cloud-based AI applications and tools utilizing cutting-edge open-source and cloud technologies. This position participates in all phases of the project lifecycle, including research, requirements gathering, database development, cloud-based application development, analytical report creation.</li>
	<li>Explain and defend potential insights and conclusions drawn from data, as well as identify and investigate potential data anomalies to determine root cause and recommend corrective action.</li>
	<li>Display and visualize processed information so its value can be understood.</li>
	<li>Performs data modeling. Implement and test data modeling designs. Use advanced math and statistics. Use modern data analytical techniques working with information retrieval, machine learning, matrix and graph algorithms, unsupervised clustering &amp; data mining to solve business problems.</li>
	<li>Work with big datasets with minimal engineering support.</li>
	<li>Integrate research and best practices into problem avoidance and continuous improvement. Exercise independent judgment in methods, techniques, and evaluation criteria for obtaining results.</li>
	<li>Work effectively both as an individual analytic contributor and collaborator within the team</li>
</ul>

Junior Data Scientist | Onsite

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 733,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com.

Accenture in the Philippines

Ready to become part of the dynamic Accenture team? We’re seeking candidates with the right skills and experience for this role. Think you match the profile? Reach out to us, we'd love to hear from you!

 

Be part of Accenture Philippines' 40-year legacy.

 

What you’ll do:

As a Data Architect, your typical day will involve defining the data requirements and structure for the application. You will model and design the application data structure, storage, and integration using your expertise in Data Architecture Principles. 
 
Roles &amp; Responsibilities: 

<ul>
	<li>Define the data requirements and structure for the application, ensuring alignment with business objectives and data governance policies.</li>
	<li>Model and design the application data structure, considering factors such as scalability, performance, and security.</li>
	<li>Collaborate with cross-functional teams to gather and analyze data requirements, ensuring data integrity and consistency.</li>
	<li>Develop data integration strategies and solutions, ensuring seamless data flow between different systems and applications.</li>
	<li>Implement data governance practices and standards, ensuring compliance with regulatory requirements and industry best practices.</li>
</ul>

Data Architect | Data Architecture Principles

It is a multi-national company with operations in Singapore, Malaysia, Thailand and other countries in Asia. Gardenia Phils. began its operations in 1998 with a state-of-the-art bread factory rated as one of the most modern large-scale bread manufacturing facilities in the country.

Gardenia Bakeries Phils., Inc.

<ul>
	<li>Manage the design, development, implementation, and maintenance of the company's data sources.</li>
	<li>Establish and enforce data management policies to ensure the quality, integrity, and security of enterprise data.</li>
	<li>Design, develop, and implement ETL pipelines using various integration tools.</li>
	<li>Collaborate with Data Analysts to translate analytics requirements into scalable and efficient data model designs.</li>
	<li>Create and maintain robust data warehouse architectures to support organizational data needs.</li>
	<li>Ensure consistent data quality by performing routine testing and troubleshooting of ETL pipelines.</li>
	<li>Coordinate closely with the Application Development team to implement best practices in data processing and integration.</li>
	<li>Maintain comprehensive documentation of applied changes in production databases.</li>
	<li>Perform other tasks and projects as assigned by the Senior IT Manager.</li>
</ul>

Data Engineer

As a Data Analyst, you are responsible for deriving insights and action points from data for specific business use cases or contexts.

 

Tasks may include:

<ul>
	<li>Univariate Statistical Analysis</li>
	<li>Exploratory Data Analysis</li>
	<li>Data Visualization and Storytelling</li>
	<li>Statistical Modeling</li>
	<li>Regression Analysis</li>
	<li>Domain-related Analysis, i.e., Geospatial Analysis, Text Analysis, Timeseries Analysis, Market Basket Analysis, Etc.</li>
</ul>

Data Analyst

<ul>
	<li>Analyze new and existing data sources to enhance design, improve performance efficiency, and prevent logical errors.</li>
	<li>Design, develop, maintain, and support dashboards and visualizations using tools like Tableau and Power BI.</li>
	<li>Create and maintain data dictionaries, ensuring standard definitions that are easily understood across the organization.</li>
	<li>Troubleshoot and maintain Tableau products, including Tableau Desktop and Server.</li>
	<li>Act as the Subject Matter Expert (SME) for Tableau, providing training, addressing issues, and recommending improvements.</li>
	<li>Collaborate with end-users to gather and analyze reporting requirements.</li>
	<li>Conduct testing and data quality checks to ensure accuracy and reliability of data sources and visualization outputs.</li>
	<li>Propose and implement changes to the existing data warehouse structure to meet business needs while ensuring data integrity.</li>
	<li>Perform other tasks as assigned by the immediate superior, contributing to the effective implementation of projects</li>
</ul>

The Transnational Diversified Group of Companies (TDG) is a globally competitive and progressive business group of highly successful companies engaged in leading industries. Since its establishment in 1976, TDG now has more than 30 member companies that are major players in diverse industries such as:

TOTAL LOGISTICS(Shipping, Transportation, Cargo Forwarding, Warehousing, Vehicle Logistics, Customs Brokerage, 3rd and 4th Party Logistics, Trucking, Distribution, Liner and Tramp Agency Service)

TOTAL SHIP MANAGEMENT(Ship Crewing, Seafarer Training, Maritime Education, Tanker Operations, Medical Services and Financial Services)

AIR &amp; TRAVEL SERVICES(Tours, Travel Agency Services, Airline GSA, Ground-Handling, Cargo Handling, Airport Support &amp; Aviation Services)

INFORMATION &amp; COMMUNICATIONS TECHNOLOGY SERVICES(Contact Centers, Business Process Outsourcing Services, Software Development and E-Business Solutions), as well as Securities Trading, Real Estate Development, Renewable Energy, and other supplemental businesses. 
With its world-class excellence and win-win outlook, TDG has become a respected strategic partner of large global corporations with stringent requirements for total quality and cost-effective services in both traditional and new economy businesses. TDG’s distinguished partners and principals include NYK Line (Japan), Asiana Airlines (Korea), American Express (USA), Vroon B.V. (Netherlands), Yusen Logistics (Japan), Crystal Cruises (USA), Malaysia Airlines (Malaysia), Disney Cruise Line (USA), ePerformax Contact Centers (USA), Nippon Container Terminal (Japan) and Uyeno Transtech Ltd. (Japan).

A Partner and Employer of Choice, TDG has grown from one strategic partner and 16 employees in 1976 to more than 30 business partners and over 14,000 employees to date.

Transnational Diversified Group

• Gather, organize, clean, transform, and load available data 
• Perform exploratory data analysis (EDA) and other statistical techniques 
• Visualize and present data in easy to understand reports / views using BI Tools 
• Create interactive dashboards for monitoring of various performance metrics and indicators. 
• Provide user support with developed dashboards 
• Analyze data from company database to drive optimization and improvement of performance and business outcomes 
• Work with stakeholders to identify opportunities and drive implementation of proposed solutions 
• Coordinate with different functional teams to implement recommendations and monitor results

• Gather, organize, clean, transform, and load available data 
• Perform exploratory data analysis (EDA) and other statistical techniques 
• Visualize and present data in easy to understand reports / views using BI Tools 
• Create interactive dashboards for monitoring of various performance metrics and indicators. 
• Provide user support with developed dashboards 
• Analyze data from company database to drive optimization and improvement of performance and business outcomes 
• Work with stakeholders to identify opportunities and drive implementation of proposed solutions 
• Coordinate with different functional teams to implement recommendations and monitor results

M2.0 Communications specializes in business, technology and lifestyle communication, with emphasis on public relations, stakeholder management and digital communication. We focus on public relations, social media marketing and media analytics, and pride ourselves as experts in earned media communication.

Starting with one employee in 2003, M2.0 now has a total of around 50 full-time staﬀers composed of a dozen manager/director level employees and more than 40 specialists. During this time, the company came to work with dozens of national and international brands including Intel, Dell, Carrier, Bank of the Philippine Islands. Currently, we work with brands including UNICEF, Philips, OPPO, Del Monte, Bayo and the Government of the Philippines.

M2.0's diﬀerentiation lies in the robust support oﬀered by its diﬀerent service units, as well as its knowledge and experience in stakeholder management, technology and business PR. The agency also oﬀers a unique media monitoring service that is currently one of the most responsive and comprehensive in the Philippines today.

M2.0 Communications Inc.

As a Data Analyst, you will play a crucial role in the data preprocessing phase of our project to fine-tune the Whisper model for Taglish and other languages. Your responsibilities will include collecting, organizing, cleaning, and preparing high-quality multilingual data for model training. You will work closely with the machine learning team to ensure that the data meets the necessary standards for effective model training.

Key Responsibilities:

Data Collection and Organization:

<ul>
	<li>Gather raw audio files in various formats (e.g., MP3, WAV, FLAC) from diverse sources such as interviews, podcasts, and YouTube videos.</li>
	<li>Organize files into a structured directory hierarchy, ensuring a clear and consistent file naming convention.</li>
</ul>

Audio Preprocessing:

<ul>
	<li>Convert audio files to the required format (16kHz mono, 16-bit signed integer WAV) using tools like FFmpeg.</li>
	<li>Transcribe audio files, either manually or through a transcription service, and store text files with corresponding filenames.</li>
</ul>

Data Cleaning and Normalization:

<ul>
	<li>Clean and normalize text data to address spelling variations, punctuation issues, and formatting inconsistencies.</li>
	<li>Standardize abbreviations and contractions, and remove special characters or unnecessary symbols.</li>
</ul>

Data Segmentation and Labeling:

<ul>
	<li>Split lengthy audio recordings into smaller, manageable segments.</li>
	<li>Create and maintain a metadata file that maps audio files to their corresponding transcriptions and alignment details.</li>
</ul>

Quality Assurance and Validation:

<ul>
	<li>Conduct thorough quality checks to validate the dataset for accuracy, consistency, and completeness.</li>
	<li>Identify and resolve issues in the audio and text data, such as misalignments or incorrect transcriptions.</li>
</ul>

Data Analysis and Reporting:

<ul>
	<li>Use data analysis techniques to evaluate dataset health and completeness.</li>
	<li>Provide regular reports on data collection progress, challenges, and recommendations for improvements.</li>
</ul>

Collaboration and Communication:

<ul>
	<li>Work closely with the machine learning team to address any data-related issues.</li>
	<li>Provide regular updates on data collection and preprocessing progress.</li>
</ul>

Founded in 1987, Questronix Corporation has grown to be one of the largest IT solution provider and systems integrator in the Philippines. We offer best of breed solutions from IT infrastructure to business applications, built on world class technology companies and supported by our certified technical team with proven Filipino expertise and skills available in the country today.

In 1990, Questronix was appointed by IBM as its first business partner for IBM UNIX platform and the company evolved in providing end-to-end solutions that run on IBM technology. After a decade of investment, skills and commitment in working with IBM, Questronix was awarded the Premier Business Partner status, making our company the first Business Partner in the country to be elevated to this exclusive circle.

Our methodology on selecting our technology partners and implementation team for our services ecosystem allows us to deliver consulting-led systems integration focused on open standards, interoperability and proven best practices that result in higher project success rates.

Today, Questronix’s solutions suite include Data Center & IT infrastructure, IT Service Management, Security, Business Continuity, Hybrid Cloud Solutions, Mobility Solutions, Enterprise Resource Planning, Business Analytics, Enterprise Asset Management, Enterprise Content Management, Information and Data Management, Business Process Management and Industry Specific Solutions.

Approaching its 34th year in business, Questronix Corporation continuously strives to improve and evolve coupled by its enduring drive to deliver Filipino excellence and workmanship to its clients. As such, it has earned prestigious awards and recognitions – a proud testimony to its achievements that have firmly etched its name in the IT corporate landscape.

Questronix Corporation

Job Description

<ul>
	<li>Analyze and organize raw data</li>
	<li>Build data systems and pipelines</li>
	<li>Evaluate business needs and objectives</li>
	<li>Combine raw information from different sources</li>
	<li>Explore ways to enhance data quality and reliability</li>
	<li>Identify opportunities for data acquisition</li>
	<li>Develop analytical tools and programs</li>
</ul>

<ul>
	<li>Develop and implement a comprehensive data strategy that aligns with the organization’s objectives and business goals.</li>
	<li>Design, develop, and maintain data models to ensure data accuracy, consistency, and efficiency.</li>
	<li>Oversee the selection, deployment, and management of database and data storage solutions.</li>
	<li>Establish data integration processes to facilitate seamless data flow between systems, applications, and databases.</li>
	<li>Define and enforce data governance policies, including data security, privacy, and compliance standards.</li>
	<li>Create and maintain comprehensive data documentation, including data dictionaries, data lineage, and metadata.</li>
	<li>Optimize data systems for performance, scalability, and reliability.</li>
	<li>Collaborate with cross-functional teams to identify and address their data needs, providing tailored solutions.</li>
	<li>Stay updated with emerging data technologies and evaluate their relevance and potential adoption for the organization.</li>
</ul>

Provide guidance and mentorship to data professionals within the team.

Data Architect

CMG Retail is a house of brands empowering women to build confidence and creatively express themselves everyday.

Our portfolio spans boutiques (CLN, CMG, So Fab), department stores (Matthews, Figlia, Figliarina, Sorores, Marie Nicole, Shubizz), men's (Traffic, Uomo) and international (Dr. Martens, Staccato, Vizzano).

With over 40 years of experience in the fashion industry and more than 200 retail locations nationwide, we are a trusted partner of women from all walks of life.

We look forward to meeting you!

CMG Retail Group

The Data Encoder is responsible for collecting, encoding, and ensuring the completeness and accuracy of all data regarding sales reports of the brand. 

<ul>
	<li>Encode the necessary data in a complete, accurate and organized manner in the system</li>
	<li>Sort and compile the data properly before encoding in the system</li>
	<li>Update the system by entering the new relevant data into the system everyday</li>
	<li>Maintain data base backups to secure the data from any kind of loss.</li>
	<li>Ensure confidentiality and safe keep of all the data encoded in the system</li>
</ul>

Attention to Detail

Time Management

Reconciliation

Microsoft / MS Excel

Data Encoder

Started in 2013, we are the first agency in the Philippines to provide sales and marketing outsourcing solutions through a fully-staffed, ready to dock sales and marketing organization. In less than 5 years, we have serviced some of the biggest brands in the country, such as adidas Philippines, Globe Telecom, Datu Puti, San Remo Pasta, Bridgestone, Meralco, and many more!

Check out more at:
https://www.youtube.com/watch?v=TzmRH_T4Tvs&t=7s

Blue Spark Solutions, Inc.

Do

•Translate business requirements to usable Excel dashboards and visualizations

•Design and execute efficient ETL process and data model that will allow for easy integration of builds like additional calculations and visualization

•Design charts and tools that will enable richer insight

•Create topline analysis on assigned workstreams

Display

•Intellectual horsepower

•Structured &amp; logical thinking (simplifying the complex)

•Strong project management skills

•Creative thinking

•Effective communication

•Proactiveness

•Good storytelling

Deliver

•On-time delivery of dashboards, reports, analysis

•100% accuracy on key category context reports / outputs

Be a model of our three core values: Excellence, Integrity, and Malasakit

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