Senior Data Scientist

Summary

Join Remote's expanding Data Team as their first Senior Data Scientist! Build the data science function from the ground up, developing advanced data products to fuel Product & Marketing strategies. Leverage a powerful data platform with Snowflake, dbt, and Sigma. Collaborate with a global team of data professionals and high-level leadership. This role offers the unique opportunity to shape the future of data science at Remote and make a significant impact. The position is fully remote, offering flexibility and work-life balance. Remote offers competitive compensation and a comprehensive benefits package.

Requirements

• 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 Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch, etc
• In-depth knowledge how to interpret experiment results and how to handle statistical uncertainties
• Familiarity with MLOps principles and tools (e.g: DVC, MLFlow)
• Proven capacity to effectively collaborate with high-level leadership, coupled with the skill to 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

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 (we have plenty use cases here!), predictive models forecasting key business metrics, developing recommendation systems (e.g: customer segmentation, marketing campaigns, etc), running causal inferences, and more
• Design operating models that leverage AI (incl. Cortex) by integrating automation and predictive insights into our 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 we continue to scale. This includes knowledge exchange on use cases & best practices fostering a collaborative environment that promotes learning and innovation

Preferred Qualifications

• Prior experience working in a centralised data team
• Experience with media mix models and/or attribution models
• Previous experience with dbt, Snowflake, Sigma
• Contributions to the open-source data science community
• It's not required to have experience working remotely, but considered as a plus

Benefits

• Work from anywhere
• Flexible paid time off
• Flexible working hours (we are async )
• 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