Senior Data Scientist - Flexible Schedule & Production ML

Grid Dynamics Holdings, Inc.; San Ramon (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Opportunity to work on cutting‑edge projects

Flexible schedule

Full benefits including medical, dental, vision

Professional development opportunities

Job summary

Grid Dynamics Holdings, Inc. is seeking an accomplished Data Scientist in San Ramon, California. The role involves analyzing big data and improving existing ML models while utilizing the latest deep learning technologies.

Responsibilities include data collection, algorithm creation, and productionalizing ML models. Candidates should have experience with Python, SQL, and cloud platforms. A Bachelor's or Master's degree in relevant fields is required, alongside strong communication and problem-solving skills.

Qualifications

• Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, and SQL.
• Experience with Cloud computing platforms, particularly GCP.
• Six or more years of relevant work experience as a Data Scientist or two or more years with a Master's Degree.

Responsibilities

• Collecting, analyzing, and cleaning 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.

Skills

Python

Machine Learning libraries

PySpark

SQL

R

Linux shell script

Data management

Data analysis

GCP

Model deployment

Education

Bachelor’s degree in Computer Science, Statistics, Math, Economics, Engineering, or Data Science

Master's Degree in a related field

Tools

Hadoop

Spark

PyTorch

Job description

Grid Dynamics Holdings, Inc. is seeking an accomplished Data Scientist in San Ramon, California. The role involves analyzing big data and improving existing ML models while utilizing the latest deep learning technologies.

Responsibilities include data collection, algorithm creation, and productionalizing ML models. Candidates should have experience with Python, SQL, and cloud platforms. A Bachelor's or Master's degree in relevant fields is required, alongside strong communication and problem-solving skills.