Data Scientist - night shiftClark Outsourcing

Description
Our benefits include:
Work directly with an international client
Performance evaluation at 6-months
13th month pay
HMO (Maxicare)
5 Service Incentive Leaves upon reaching 1-year of service/employment
Maternity Leave, Paternity Leave, SOLO Parent Leave, Magna Carta Leave, etc.
Education Benefit
Retirement Benefit
Shuttle Service
CO League (Swimming, jiu-jitsu, yoga, billiards, table tennis, prizes, events, training, outreach, etc.)
24-Hour Management & Tech Support
Great hands-on support team and fun working environment
Client provided benefits include:
Internet allowance
New Macbook to work on
15 additional service incentive leaves that are convertible to cash.
Work from home during the pandemic.
Position Description:
Position Title: Data Scientist
Classification: Associate
Salary Grade: 60000 - 70000 Peso / month
Reports To: Account Manager, Client
Primary Relationships: Client Team
Date(s): October 2020
Background:
As a Data Scientist, you will help build machine learning models to better understand data, and apply statistical analysis to make better production decisions.
This position will have the option to work from home at our office on Clark until the pandemic is over.
Main Roles:
Work comfortably with large datasets in order to extract insights and build predictive models to improve the end-user experience
Apply machine learning techniques to gain an understanding of user generated texts and images
Design the system and process that we will use to train, test, evaluate and iterate on various hypotheses
Engage in problem-solving sessions to brainstorm solutions to complex problems
Analyze data to help make data-driven decisions to improve our product
Schedule:
Must feel comfortable work US hours (graveyard shift)
This is a WFH position; however, you should live within 1 hour drive from Clark Freeport Zone for occasional onsite team meetings.
Requirements:
Firm knowledge of statistical theory, data science, or machine learning algorithms is a requirement
Familiarity with data processing tools such as Spark, R, Python, Scala, etc.
Experience with cloud platforms (i.e. Google Cloud Platform) and BigQuery is a plus
3+ years of professional experience in the position
Master's degree in a relevant quantitative field, or a bachelor's degree with a significant amount of relevant work experience
Self-starter with a track record of bringing projects to completion
Excellent communication skills
You must provide your own internet connection and late model smart phone
Fast Internet (15 Mbps/download and 3 Mbps/upload high-speed internet minimum)
Attention to detail
Requirements
Minimum education level: Bachelor ́s Degree
Years of experience: 3
Language(s): English
Availability for travel: No
Availability for change of residence: No

Work type
Full Time