Data Scientist (Python/GCP)

Shield AI
San Diego, CA, United States
23 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Shift work
Job source

Tech stack

Clean Code Principles Artificial Intelligence Big Data Relational Databases Apache Hadoop Python (Programming Language) Machine Learning NumPy Tensorflow SQL Databases Data Processing Google Cloud
+7 more
Pytorch Apache Spark Deep Learning Pandas Scikit Learn Machine Learning Operations Data Pipelines

Job description

  • Analyze large, complex datasets to identify trends, patterns, and actionable insights.
  • Design, train, and deploy machine learning models into production environments.
  • Write clean, maintainable, and efficient code to support data processing and model training.
  • Collaborate with data engineers to optimize data pipelines and ensure data quality.
  • Translate complex analytical findings into clear, business-focused recommendations for stakeholders.

Requirements

  • Proven commercial experience as a Data Scientist or in a similar analytical role.
  • Strong proficiency in Python and its data science ecosystem (e.g., Pandas, NumPy, Scikit-Learn).
  • Solid hands-on experience with SQL and querying relational databases.
  • Strong, practical experience working with Google Cloud Platform (GCP).
  • Practical knowledge of designing, evaluating, and deploying Machine Learning algorithms.
  • Strong problem-solving skills and the ability to work effectively in cross-functional teams.

Nice to have

  • Familiarity with Big Data technologies (e.g., Apache Spark, Hadoop).
  • Knowledge of Deep Learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience with ML model deployment and MLOps practices.

Benefits & conditions

  • 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
  • Well-equipped office

About the company

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

About Shield AI

201-500

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · WWC 2024

2:35 min

Preventing remote code execution in PyTorch models

Balázs Kiss · WWC 2023

3:33 min

Refactoring data science workflows using Rapids QDF and Pandas

Paul Graham Paul Graham · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all