Cobena Business Analytics & Strategy, Inc.
Cobena Business Analytics & Strategy, Inc.

Data Scientist  

Cobena Business Analytics & Strategy, Inc.

 
  • Taguig, Philippines
    9th Avenue , Taguig, Metro Manila, Philippines
    Taguig
    Metro Manila
    Philippines
    Philippines
    TELECOMMUTE
  • Full timeFULL_TIME

Expired 3 years ago

2021-06-30T16:00:00+00:00
Job closed.

Job Description

Position (Brief Description)

As a Data Scientist in Cobena, you’ll be able to work on a variety of challenging analytics projects. You’ll have to see things end-to-end: understand the business context and requirements, create frameworks to collect the right data (in some cases, even create synthetic data!), transform, or augment data sets for analytical processing, craft computational models and data visualizations, run tests, deploy the models into production.

In this role, you'll work closely with the AI Engineering Tech Lead and a high-performing team distributed across the US, Canada, India, and the Philippines to develop data science methods and APIs that will integrate with a larger platform and solution. The work is highly dynamic, and you’ll have the opportunity to experiment with various technologies and solutions.

As a Data Scientist in Cobena, you’ll need to be able to communicate your learnings and your results to both technical and non-technical stakeholders. You may also be expected to supervise more junior data analysts towards the goal of forming the competencies and expertise of the latter.

Minimum Qualifications

Skills & Qualifications

  • Graduate of Computer Science, Information Technology, Management Information Systems, Mathematics, Engineering, or related programs; or equivalent work experience
  • Strong foundations in Python/R programming for data science
    • Experience with the foundational stack (e.g. numpy, pandas, matplotlib, scikit-learn, jupyter)
    • Familiar with general programming practices: writing clear and efficient code, code documentation, refactoring and modularity, object-oriented programming, etc.
  • Strong foundations in math/statistics and machine learning
    • Strong grasp of classical supervised learning and unsupervised learning
      • Linear Reg, Logistic Reg, Lasso/Ridge, Random Forest, PCA, HDBSCAN, K-Means
    • Has good judgement on which methods are appropriate for the task, and if machine learning is even appropriate at all
  • Not afraid to roll up their sleeves for data engineering
    • Inspecting and cleaning datasets (always a part of the job!)
    • Can ETL with a reproducible workflow (e.g. transforming datasets using Python)
  • Experienced in AWS services (AWS Lambda, EC2)
  • Communication and Stakeholder Management
    • Translating business requirements from stakeholders into data science implementations, and knowing when to ask for clarifications
    • Presenting to non-technical stakeholders

Nice-To-Haves

  • Experience in Git and testing methodologies
  • Experience with deep learning and its applications (computer vision, NLP); Applied knowledge on Tensorflow, pyTorch
  • BI Skills: SQL, dashboarding (Power BI, Tableau, Looker)
  • Experience deploying models into APIs

Personal Attributes

  • Highly analytical and intelligent; Intellectually curious; Independent and self-motivated learner - comfortable in filling in any knowledge gaps with little hand holding
  • Positive, resourceful, and agile.
  • Strong sense of personal commitment
  • Strong interpersonal skills, ability to communicate (English and/or Filipino) well; strong capability to energize others
  • Strong problem solving and creative skills and the ability to exercise sound judgment
  • High level of integrity and dependability with a strong sense of urgency and results-orientation

Perks and Benefits

  • Work from HomeWork from Home

Jobs Summary

Job Level
Associate / Supervisor
Job Category
IT and Software
Educational Requirement
Bachelor's degree graduate
Recruiter response to application
Once in a while
Office Address
9th Avenue
Industry
Management Consulting
Vacancy
1 opening
Website
http://www.cobenagroup.com/

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About Cobena Business Analytics & Strategy, Inc.

Cobena is a data analytics company founded back in 2016 by seven executives who shared a common dream: to bring data sciences into the Philippines and help create a “third leg” to the Philippine economy, after our OFWs and BPOs. The dream was simple; in a country with an abundant supply of intelligent technical graduates who were equally creative and articulate, there lay the opportunity to supply the world with data scientists: unicorns who could help make businesses smarter with data-driven decision making. Fast forward, three years later, Cobena is now at the forefront of the data sciences industry in the Philippines, and in 2018 was recognized by APAC CIO magazine to be among the Top 10 Business Intelligence Providers in the Asia Pacific. And, beginning this year, APAC Business Insights recognized Cobena to be among Asia Pacific’s Fastest Growing Data analytics companies. Both publications are based in Silicon Valley. In its brief history, Cobena has had over 100 projects across the Philippines, South East Asia, Hong Kong, and Japan. Among its top clients are Multinationals like Nestle, Unilever, and Johnson & Johnson, and some of the country’s top conglomerates like Ayala, San Miguel, Globe, JG Summit, and Metrobank. Cobena has offices in the Philippines and Singapore. Beyond its roster of top clients, Cobena is extremely proud of its 40 Data Scientists and Business analysts, who hold top honors and master’s degrees from the country’s premier universities. Where other companies still struggle to find the magic formula when it comes to succeeding with millennials, Cobena seems to have found just what it takes to breed and keep the country’s top talent. Cobena in August 2020, became part of Demand Sciences, a business intelligence platform based in Boston Massachusetts.

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