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Data Scientist

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0% found this document useful (0 votes)
37 views2 pages

Data Scientist

Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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Data Scientist

What will the person do

● Work with stakeholders throughout the company to identify opportunities for


leveraging company data and third-party vendor data to drive business solutions
● Use predictive models to increase and optimize customer experience, revenue
generation, direct mail targeting, fraud detection and other business outcomes
● Mine and analyze data from company databases to drive optimization and
improvement of product development, marketing techniques and business strategies
● Process, cleanse, and verify the integrity of data used for modeling and analysis
● Develop machine learning models, select features, build and optimize classifiers
using various machine learning techniques
● Doing ad-hoc analysis and presenting results in a clear manner to Sr. Management
● Coordinate with other functional teams to implement models and monitor outcomes
● Develop and enhance processes and tools to monitor model performance and input
data accuracy

What we expect

● 3-4 years of on the job experience as a data scientist or an advanced degree


(Master’s or PhD in machine learning and/or other quantitative fields)
● 2 - 3 years expertise in machine learning theories and practices, including regression
models, GLM, SVM and tree based models (e.g. Boosting, Random Forest)
● Familiarity with Object-Oriented Design (OOD) concept and functional programming
with 2+ years experience writing code
● Expertise in at least one statistical programming language such as Python
(preferred) or R and ability to build statistical models in the programming language
● Proven ability to communicate findings clearly to both technical and non-technical
audiences
● Experience with relational databases such as Oracle, PostgresSQL, SQL Server
● Experience in a data science or ML Ops role at a banking/financial institution or
fin-tech is a plus
● English B2/C1 or +

What we offer

-We paid in USD monthly. Contractor.

-Technical workshops and soft skills trainings

-Soft landing/ on boarding

-MacBook

-English classes

-Remote work

-Flexible hours

-PTO (20 working days), 7 holidays, maternity/paternity leave

-Cultural activities

-Udemy Corporate

-Since your 4th month: 100 USD for health insurance and 20 USD for your internet/wifi costs

-Performance Review every 6 months

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