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OVERVIEW

Harnham is partnering with a pharmaceutical giant for a Machine Learning Platform Engineer role. The role will sit in their centralised and high-impact Platform Engineering team that is currently building a platform that runs all ML models across the company. The team is currently working on range of different projects that creates the most impact to the company.

Role Responsibilities

• Continuously run ML models and maintain the platform
• Designing and developing API’s
• Scale and Enhance operational efficiencies around the platform’s CI/CD capabilities
• Design, develop, test, document, and maintain platform services and infrastructure.
• Work closely with engineers, researchers and other science domain experts on productionising ML models and pipelines

Your Requirements

• Experience with Cloud Computing, Distributed Systems, and CI/CD
• Experience with Python and deploying API’s and packages
• 3+ years in machine learning and software engineering
• Experience with ML frameworks such as PyTorch and TensorFlow
• Experience with Docker and Kubernetes
• Familiarity with cloud computing environments (AWS, Azure, GCP)
• Experience with infrastructure as Code tools such as Terraform and Packer.

THE BENEFITS

• Salary up to £80,000
• Discretionary bonus
• Pension Contributions
• Flexible working

HOW TO APPLY

Please register your interest by sending your CV to Mane Grigoryan via the Apply Link below.

Title: Staff Data Scientist

Location: SF Bay Area. Hybrid on Site

Salary: $170k – $200k (Depending on experience)

Company Description:

This company is a video game publisher that creates some of the most beloved and popular video game franchises in the world. We are a passionate, creative, and diverse team that loves to innovate and push the boundaries of what’s possible in the gaming industry.

Job Description:

You will play a critical role in helping us understand and optimize our players’ experience across all of our games. You will work closely with our product teams to analyze player behavior, identify areas for improvement, and develop and implement data-driven solutions that enhance player engagement and satisfaction. You will also be responsible for mentoring junior data scientists and providing guidance and leadership to the team.

Responsibilities:

• Analyze player behavior and game data to identify areas for improvement
• Develop and implement data-driven solutions that enhance player engagement and satisfaction
• Collaborate with product teams to ensure data-driven solutions are integrated into the games
• Design and implement experiments to test hypotheses and validate models
• Develop and maintain predictive models to drive business decisions
• Provide guidance and mentorship to junior data scientists
• Stay up-to-date with the latest research and techniques in data science and share your knowledge with the team

Qualifications:

• Master’s or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field
• 5+ years of experience in data science
• Strong proficiency in Python or R
• Experience with SQL and relational databases
• Experience with machine learning, statistical modeling, and data visualization
• Passion for video games and the gaming industry
• Excellent communication and collaboration skills

We’re looking for individuals who are passionate about data science and gaming. If you’re excited about working in a fast-paced, collaborative environment and making a meaningful impact on some of the world’s most beloved video game franchises, we want to hear from you. Please apply with your resume and cover letter.