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Senior Data Scientist/ML Engineer at Talentuch

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Romania

Offer summary

Qualifications:

Proficiency in ML development, Experience in FinTech, E-Commerce or Retail, Strong skills in applied mathematics and statistics, Proficiency in Python and SQL, Experience with Machine Learning frameworks.

Key responsabilities:

Work and communicate with customer’s team
Deliver ML solutions implementation and responsibilities
Gather requirements and propose architecture solutions
Build and tune algorithms for business problems
Develop AWS infrastructure for model serving

Talentuch Human Resources, Staffing & Recruiting Startup https://www.talentuch.com/

11 - 50 Employees

See more Talentuch offers

Job description

About the company:

An international company specializing in the gift card industry, offering comprehensive services such as card issuance, distribution, payment processing, exchange, and refilling. The company operates multiple e-commerce platforms dedicated to facilitating the distribution and accessibility of its gift card products.

Work format:

Work processes offer a flexible schedule, averaging 8 hours per day, with occasional meetings scheduled between 5:00 pm and 7:00 pm UTC.

Technical stack:

AWS.
Redshift.
Python, Django.
Some ML related tools can be picked by engineers.

Team:

7 Data scientists including Lead. Distributed between the USA and India. Tech lead is in India, Manager is in California.

Requirements:

Proficiency in ML development (feature engineering, algorithm selection, statistics).
Experience in FinTech, E-Commerce or Retail domains.
Strong skills in applied mathematics, data analysis and statistics.
Understanding of modern machine learning techniques and algorithms.
Proficiency in Python and SQL.
Experience in building REST API applications.
Understanding of microservices architecture.
Experience with model implementation and tuning using popular Machine Learning frameworks such as PyTorch, Keras, TensorFlow.
English level: Upper-Intermediate or higher.
Working location: outside Ukraine.
Online availability overlap with US Pacific time zone till 12:00 PST.

As a plus:

Experience working with Fraud prevention or Risk modeling.
Experience with Big Data Processing frameworks (Apache Spark, Hadoop etc).
Experience with Django framework.
Experience with AWS cloud.
Having a Kaggle profile.

Responsibilities:

Working and professionally communicating with the customer’s team.
Taking up responsibility for implementation and delivering of ML solutions.
Participating in requirements gathering & clarification process, proposing optimal architecture solutions, owning the implementation.
Building and tuning machine learning algorithms for solving business problems in E-commerce and Retail.
Developing AWS machine learning infrastructure to support and maintain model serving and training.
Analysis of data for patterns.
Visualization of data.
Continuous learning.