Data Scientist

GOOD FRIEND ELECTRICAL SUPPLIES, INC.
United States
about 2 months ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source

Tech stack

A/B Testing Application Programming Interfaces (APIs) Artificial Intelligence Business Analytics Applications Business Logic Software as a Service Statistical Hypothesis Testing Python (Programming Language) Machine Learning Large Language Models Prompt Engineering Generative AI
+5 more
Backend Information Technology Optimization Algorithms Data Analytics Virtual Agents

Job description

  • Data Scientist & AI Engineer joining a core R&D squad to design, develop, and deploy production-grade Machine Learning models and Generative AI pipelines that directly optimize gameplay dynamics and business logic.
  • Architecting advanced Agentic AI systems and LLM pipelines utilizing frameworks like LangGraph, LangChain, and state-of-the-art model APIs (OpenAI, Anthropic, Google ADK).
  • Designing and executing advanced statistical analysis, probability modeling, and rigorous A/B testing structures to extract actionable insights from massive gaming datasets.
  • Collaborating closely with cross-functional technical and product teams to translate mathematical and algorithmic frameworks into high-impact, real-time backend features.
  • Implementing advanced Prompt Engineering methodologies, inference optimization techniques, and data-driven AI behaviors to power intelligent in-game systems.
  • Core Stack & Ecosystem- Generative AI, Agentic AI, LangGraph, LangChain, LLM APIs (OpenAI, Anthropic), Python, Machine Learning, Statistical Modeling, Probability Theory, Inference, and A/B Testing.

Requirements

  • Academic Background: B.Sc. in Computer Science, Data Science, Mathematics, Statistics, or a related exact science discipline from a tier-one university - Mandatory
  • 2-10 years of proven professional experience operating as a Data Scientist or AI Engineer - Mandatory
  • Hands-on, production-proven expertise engineering with Large Language Models (LLMs) and advanced AI frameworks (e.g., LangChain, LangGraph, OpenAI/Anthropic APIs, Google ADK) - Mandatory
  • Prior professional background operating within fast-paced digital industries such as Gaming, Web, SaaS, AI, or high-scale Analytics platforms (Candidates from purely Medical, Low-Level/Hardware, or Heavy Industrial domains will not be a fit) - Mandatory
  • Robust technical command of statistical modeling, hypothesis testing, probability, and production-level experimentation (A/B testing) - Mandatory

About the company

A highly successful and profitable global gaming company that is engineering a next-generation entertainment and interactive gameplay experience.

Founded by tech-driven, serial entrepreneurs with a track record of high-profile acquisitions in the gaming industry, the venture has achieved exceptional market traction in a short period.

The company maintains an elite, R&D-focused workforce of several dozen professionals.

Operating from a modern office hub in Tel Aviv within short walking distance of the train station, the team works on-site to maintain high-velocity collaboration and rapid product iteration.

Apply for this position

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

Apply on arc.dev
Prepare application

Good distractions

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

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

54 sec

Generating multiple hook options for outreach A/B testing

Leandro Gomes da Silva Leandro Gomes da Silva · World Congress 2025

2:37 min

Tracing the evolution from early AI to generative AI

Mike Mike · World Congress 2025

3:23 min

Exploring specialized career paths within the data science ecosystem

Julian Joseph · LIVE

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all