Job Description
Are you a visionary Data Scientist looking to shape the future of AI and analytics? Nexus Analytics is seeking a talented Senior Data Scientist to join our elite engineering team in San Francisco. You will be at the forefront of developing scalable machine learning solutions that drive business growth and innovation.
We are looking for someone who not only excels in technical implementation but also thrives in a collaborative, fast-paced environment. If you are passionate about turning complex data into actionable insights, we want to hear from you.
Responsibilities
- Model Development: Design, train, and deploy advanced machine learning models to solve real-world business problems.
- Data Strategy: Lead the end-to-end data lifecycle, from data acquisition and cleaning to feature engineering and model validation.
- Collaboration: Partner with product managers, engineers, and stakeholders to define technical requirements and translate business goals into data-driven solutions.
- Performance Optimization: Continuously monitor model performance and optimize algorithms for accuracy, speed, and scalability.
- Research: Stay abreast of the latest advancements in AI/ML research and implement cutting-edge techniques into our production stack.
Qualifications
- Education: Master’s or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Experience: 5+ years of professional experience in data science, machine learning, or a similar role.
- Technical Skills: Proficiency in Python, R, SQL, and big data technologies (e.g., Spark, Hadoop).
- Frameworks: Strong experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical audiences effectively.