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Data Scientist

extra holidays - extra parental leave

Remote:

Full Remote

Contract:

Full time

Work from:

California (USA)

Offer summary

Qualifications:

Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL., Bachelor’s/Master's in Computer Science, Statistics, Math, Economics, Engineering, or Data Science with 2+ years of relevant experience..

Key responsabilities:

Collecting, analyzing, cleaning up data.
Creating algorithms for processing catalog products from various data sources.
Experimenting with different models, neural networks, and creating model ensembles.
Creating workflows for publishing algorithms to production.

Grid Dynamics Large https://www.griddynamics.com/

1001 - 5000 Employees

See more Grid Dynamics offers

Job description

Description

Position at Grid Dynamics

We are looking for an accomplished data scientist, who is a master at analyzing big data. The team works on projects in Churn Prevention, Customer Loyalty, Tree Based Models, as well as text-to-speech technologies.The goal is to consistently improve existing ML models and tools as well as to introduce new impactful assets using machine learning and deep learning techniques. You will be using latest and most effective deep learning technologies and we are open to research new approaches.

Responsibilities:

Collecting, analysis and clean up data
Creating algorithms for processing catalog products using different data sources
Experimenting with different models and neural networks, creating model ensembles
Creating a workflow for publishing algorithms to production

Requirements :

Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL.
Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
Experience in data management and data analysis in a relational database, Hadoop and Spark.
Experience with Cloud computing platforms - GCP
Experience in productionalizing ML models - building data pipelines, model framework and model deployment.
Strong communication and interpersonal influencing skills.
Excellent problem solving and critical thinking capabilities
Desirable: PyTorch, Deep Learning, NLP, reinforcement learning, recommender system, etc.
Bachelor’s degree with six or more years of relevant work experience as a Data Scientist practicing model development and production for business applications; Or a Master's Degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science related fields with two or more years of relevant experience as a data scientist or machine learning engineer.

What we offer:

Opportunity to work on bleeding-edge projects
Work with a highly motivated and dedicated team
Competitive salary
Flexible schedule
Benefits package - medical insurance, sports
Corporate social events
Professional development opportunities

About Us:

Grid Dynamics (Nasdaq:GDYN) is a digital-native technology services provider that accelerates growth and bolsters competitive advantage for Fortune 1000 companies. Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization. Grid Dynamics achieves high speed-to-market, quality, and efficiency by using technology accelerators, an agile delivery culture, and its pool of global engineering talent. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the US, UK, Netherlands, Mexico, and Central and Eastern Europe.

To learn more about Grid Dynamics, please visit www.griddynamics.com. Follow us on Facebook, Twitter, and LinkedIn.