Data Scientist (remote) (Remote)

About Us

We’re seeking a seasoned and proactive Data Scientist to join our client’s innovative team which is on the brink of revolutionizing the IoT ecosystem, driving the development of products that shape the connected world through advanced sensor technology and machine learning. This role demands both technical leadership and hands-on expertise in data science. If you’re passionate about designing the accuracy champion models for a real-world environment application and thrive in remote, collaborative teams, we’d love to hear from you.

Role Overview

As a Data Scientist, you will play a pivotal role in developing and implementing highly accurate predictive models for IoT data analysis, working with and guiding the Machine Learning and Data Science team. You will be in charge of preparing your own models from raw data through feature engineering and modelling to cloud syncs. At the same time, you will be governing the ML and Data Science external team overseeing coordination, knowledge management and validation.

Key Responsibilities

• Design and deploy adequate predictive models.
• Choose the right performance metrics and thresholds.
• Conduct feature engineering.
• Support the development team in automating data extraction and transformation processes for modeling.
• Select appropriate modelling techniques and frameworks.
• Advise on data security protocols and IP compliance.
• Collaborate with MLOps to deploy and monitor the selected models in production environments.
• In charge of monitoring real environment model performance, triggering retraining and upgrading the existing models with new sensor data.
• Coordinate and validate the work of the external ML/Data Science project team.
• Act as a liaison between the external providers and other company teams.
• Govern the knowledge management on all the models tested, developed and implemented.
  
  
  

What’s In Your Backpack

• 9+ years of professional experience in Data Science.
• A Master’s degree in a quantitative field, such as Data Science, Statistics, Economics, Finance, Mathematics, Operations Research, Experimental Psychology or similar discipline.
• Solid expertise in Python, SQL and cloud ML platforms, particularly AWS SageMaker.
• Adequate statistical knowledge with experience applying it to real-world problems.
• In-depth expertise in predictive supervised, unsupervised and reinforcement learning ML, including techniques such as neural networks, gradient-boosting frameworks, random forest, regressions, time series analyses (ARFIMA, ARCH).
• Ability to work effectively in a fully remote setup is an absolute must.
• Experience as MLOps is a plus.
  
  
  

Our recipe for a great work-life balance:

• Opportunities to work on exciting, cutting-edge technology projects.
• The chance to become part of WorkNomads’ large multi-field network of engineers, exchanging knowledge and being constantly supported to grow and keep your expertise up-to-date.
• High work ethics culture with focus on proactiveness, free expression of ideas, politics aversiveness and honesty.
• A collaborative, inclusive environment where your contributions are valued.
• The opportunity to work remotely and manage your own schedule.
• A competitive salary package, with opportunities for professional growth.
  
  
  

About WorkNomads:

WorkNomads is a global employer creating opportunities for digital professionals to live and work from anywhere. We empower people to lead flexible lifestyles while working on impactful projects across industries.

Interested? Join us!

We celebrate the right of every human to be themselves and provide opportunities for global talent to shine. Diversity, social equity, and inclusion are at the core of who we are. We create an environment where different voices are respected, heard and empowered in equal measure. We’re breaking down the boundaries by designing a new nomadic economy by enabling people to do what they love and be where they want.