Senior Data Scientist – Technical Lead

Job Description

Are you an experienced AI and Data Scientist passionate about time series analysis, signal processing, fluid dynamics, anomaly detection, or IoT?

Join us to develop AI solutions for our connected products, creating real-world impacts on our customers. We’re looking for someone who thrives in collaborative, dynamic environments and is eager to build connections across teams to bring innovative ideas to life in a mission-driven organization. If that sounds like you, we’d love to hear from you!

Location: This is a fully remote role based in the US.

How You’ll Make an Impact:

• Build and nurture integrated AI ecosystems across our IoT devices and connected products.
• Shape and share the technical data science vision for connected products.
• Collaborate closely with business and product teams to identify impactful use cases for AI/ML applications.
• Prototype and iterate on solutions, embracing a curious and experimental approach to problem-solving.
• Embed AI/ML models into physical and digital products, ensuring they meet customer needs.
• Analyze large datasets, drawing out valuable insights to improve model performance and create better customer experience.
• Partner with ML engineers to deploy scalable AI/ML solutions that are reliable and efficient.
• Continuously monitor and optimize models to ensure accuracy, reliability, and long-term performance.
• Stay curious and keep learning about new AI/ML advancements, applying them to foster innovation.
• Lead projects with a balance of hands-on coding and strategic leadership, focusing on collaboration and shared success.
• Communicate thoughtfully about challenges, risks, and opportunities, ensuring timely project completion.

What We Offer:

• Meaningful work on cutting-edge AI/ML projects that have a real impact on products and customers.
• Access to state-of-the-art tools and technology to help you succeed.
• Mentorship and support from industry experts who are committed to your growth and development.
• Opportunities to collaborate across teams and build lasting connections.
• Continuous learning opportunities through workshops, conferences, and training programs to keep your skills fresh.
• Flexible work arrangements that promote work-life balance and personal well-being.
• A diverse, inclusive workplace that values your voice and fosters a sense of belonging.
• Competitive compensation and opportunities for professional growth in a supportive, collaborative environment.

Qualifications

• Master’s degree in Computer Science, Statistics, Mathematics, Engineering, Fluid Dynamics, or a related field (exceptional candidates without advanced degrees will be considered).
• 10+ years of experience developing and deploying AI/ML models in production environments.
• 3+ years of experience as a technical lead, mentoring and supporting junior data scientists.
• Expertise in signal processing, fluid dynamics, anomaly detection, and machine learning on IoT devices.
• A proven track record of delivering high-impact AI/ML projects across organizations.
• Mastery of machine learning algorithms, deep learning frameworks, time-series modeling, and statistical techniques.
• Fluency in Python and SQL, with proficiency in scikit-learn, pandas, TensorFlow, PyTorch, NumPy, and more.
• Experience in feature development, including roadmap creation and experimentation.
• Ability to translate customer needs into clear problem definitions while managing ambiguity.
• Proficiency with big data technologies (e.g., Snowflake, Google BigQuery) and cloud platforms (e.g., AWS, GCP, Azure).
• Creative problem-solving skills with a focus on collaborative solutions.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Resilience and perseverance in the face of technical challenges, with the ability to iterate through solutions to achieve success.