Senior Data Scientist

Overview

Job Description

Responsibilities

• - Collaborate with stakeholders across departments to understand their needs and identify opportunities for data science to drive value.
• - Design and develop a wide range of custom-built solutions, including LLMs, predictive models, recommendation systems, and more.
• - Design operating models that leverage AI by integrating automation and predictive insights into business processes.
• - Work closely with the Data Engineering team in the creation of scalable ML pipelines.
• - Establish best practices for data collection, storage, processing, analysis, and model deployment.
• - Design and implement change management strategies to facilitate the adoption of advanced data practices.
• - Contribute to building Remote’s data science culture and processes as the company continues to scale.

Required Skills

• - Solid experience as a data scientist solving business problems via advanced data products.
• - Strong interest and extensive knowledge within the topic of AI.
• - Deep understanding of machine learning algorithms, statistical modelling, and data mining techniques.
• - Long-term experience in Python for data science, including experience with its scientific stack such as Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, etc.
• - In-depth knowledge of how to interpret experiment results and handle statistical uncertainties.
• - Familiarity with MLOps principles and tools (e.g: DVC, MLFlow).
• - Proven capacity to effectively collaborate with high-level leadership and clearly document complex analyses and processes for diverse audiences.
• - Strong organisational skills enabling effective prioritisation of tasks within a dynamic, fast-paced environment.
• - Collaborative spirit and a passion for working with individuals from varied backgrounds in a global context.

Benefits

• - Work from anywhere
• - Flexible paid time off
• - Flexible working hours
• - 16 weeks paid parental leave
• - Mental health support services
• - Stock options
• - Learning budget
• - Home office budget & IT equipment
• - Budget for local in-person social events or co-working spaces