Job Description
Nexus Global Analytics is at the forefront of innovation, leveraging cutting-edge data science to solve complex business challenges. We are seeking a visionary Senior Data Scientist to join our elite analytics team in San Francisco. In this role, you will not only build state-of-the-art predictive models but also drive the strategic direction of our data initiatives.
You will work in a dynamic environment where your insights will directly impact millions of users. If you are passionate about turning raw data into actionable intelligence and have a knack for engineering scalable solutions, we want to hear from you.
Responsibilities
- Develop, train, and deploy advanced machine learning and deep learning models.
- Perform exploratory data analysis (EDA) to uncover hidden patterns and insights.
- Collaborate with cross-functional teams to define product requirements and technical specifications.
- Optimize data pipelines for high performance and scalability.
- Present complex analytical findings to executive stakeholders in a clear, concise manner.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, machine learning, or statistical analysis.
- Proficiency in programming languages such as Python, R, or Scala.
- Strong experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
- Proven track record of working with deep learning frameworks like TensorFlow or PyTorch.