Senior Data Scientist, Remote

• If you're driven by a desire to make a difference, your search might just end here
• 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

Desirable

• We are looking for a colleague - the first Senior Data Scientist to join our Central Data Team
• 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!
• We are a collaborative team of over 20 data professionals (including Data Engineers, Analytics Engineers, and Data Analysts) distributed across more than 10 countries
• You'll report to: Data Analytics Manager
• 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

• Please note we accept applications on an ongoing basis
• Please fill out the form below and upload your CV with a PDF format
• We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote
• If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead
• We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply below
• As an equal employment opportunity employer it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us to stay accountable
• We thank you for providing this data, if you chose to
• Interview with recruiter
• Interview with hiring manager
• (async) Small challenge + Review
• Interview with team members
• Executive interview
• Bar Raiser interview
• Offer and Prior employment verification check(s)
• Start date: As soon as possible