Data Scientist
Cobena Business Analytics & Strategy, Inc.
- Taguig, Philippines9th Avenue , Taguig, Metro Manila, PhilippinesTaguigMetro ManilaPhilippinesPhilippinesTELECOMMUTE
- Full timeFULL_TIME
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
- Strong grasp of classical supervised learning and unsupervised learning
- 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 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