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At Surfline Wavetrak, we believe the ocean is for everyone, that the magic of riding waves should be shared by all, and diversity and inclusion must be reflected in everything we do. We are committed to, and currently working towards, achieving accurate representation within the work we create and the workforce we are building, in order to help surfing become a more inclusive culture, lifestyle, and community.

We are dedicated to bringing people together across the globe, and we champion and encourage those who bring different perspectives, ideas, and creativity. At Surfline Wavetrak, we recruit, employ, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, gender identity, gender expression, age, veteran status, and any other protected status.

Summary:

As a Data Scientist, you will work with the Data Science team to solve problems and provide insights for surfers everywhere. Projects can include computer vision applied to our camera network, improvements to our physical modeling efforts, or processing watch sensor data. Our problems are complex, challenging, and unique, and we have a roadmap that we believe will create a significant positive impact for our customers. You will contribute to this roadmap, along with the rest of the team, and collaborate with product, forecasting, and engineering teams to formulate and build innovative products.

Under Surfline’s “Work from Anywhere” policy, this position may be performed on a full-time remote basis from anywhere within the United Kingdom.

What You'll Do:

• Analyze data covering a wide range of information, from buoys to camera footage to watch sensor data.
• Conduct hypothesis-driven exploratory analysis, build feature engineering, design the best structure, and select the most appropriate modeling techniques from a variety of machine-learning models.
• Optimize data collection procedures to ensure timeliness and accuracy.
• Process, cleanse, and validate the integrity of data used in our products.
• Contribute as a team member to key data science projects.

What We're Looking For:

• Master’s degree or PhD in Computer Science, Engineering, Mathematics, Physics, or a similar degree.
• Extensive experience with Python and version control systems (e.g., Git).
• Hands-on experience with data analytics and classical machine-learning tools (e.g., pandas, NumPy, scikit-learn) and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of statistical analysis.
• Exceptional problem-solving skills and ability to learn/adapt to new technologies.
• Genuine interest in deriving datasets that help answer the questions surfers ask.

You May Also Have:

• Understanding of cloud technologies (e.g., Azure, AWS).
• A passion for surfing or other ocean-going activities.
• Passion for building compelling product experiences.

About Surfline Wavetrak:

Millions of people around the world depend on Surfline Wavetrak’s products to enrich their experiences in and around the ocean. Since 1985, our company has connected people with the ocean. Starting with surfers and expanding to offshore cruisers, anglers and a myriad of other ocean enthusiasts, we’ve made it our mission to deliver peak maritime experiences. We provide those who work and play in the ocean with all the advanced tools, personalized insights and immersive content to make their lives better - supplying them with the information they need to make smarter decisions, seek out new experiences and gain valuable knowledge.

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