Senior Data Scientist

About Remote

Remote is solving global remote organizations’ biggest challenge: employing anyone anywhere compliantly. We make it possible for businesses big and small to employ a global team by handling global payroll, benefits, taxes, and compliance. Check out remote.com/how-it-works to learn more or if you’re interested in adding to the mission, scroll down to apply now.

Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under-represented group to apply, but we prioritize a sense of belonging. We have 4 ERGs (Women, Disability, Queer, Minorities in Tech) who meet regularly with the People team. During your interviews and beyond, we ask & encourage anybody who needs an accommodation to request one from their recruiter.

At Remote, we embrace AI as a valuable tool while prioritizing human creativity and authenticity. We look forward to meeting candidates who balance innovation with genuine expertise and experience. To learn more about Remote's AI guidelines check see here. 

All of our positions are fully remote. You do not have to relocate to join us!

What this job can offer you

The position

The year is 2025, and at Remote, the story of our Data Team is one of exciting expansion. We are looking for a colleague - the first Senior Data Scientist to join our Central Data Team.

If you're driven by a desire to make a difference, your search might just end here. This role is about building something significant: you'll have the unique opportunity to build our data science function from the ground up and lead the charge in developing advanced data products that will directly fuel our Product & Marketing strategies.

The groundwork has been laid. 2024 was a year of building as we’ve implemented a powerful data platform with Snowflake, dbt and Sigma at it’s core. And now, the narrative shifts to innovation and impact, led by you!

The team

We are a collaborative team of over 20 data professionals (including Data Engineers, Analytics Engineers, and Data Analysts) distributed across more than 10 countries.

What you bring

• 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.

Nice to have:

• 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

Key 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 pr