Job Description
Are you ready to shape the future of machine learning? Nexus AI Analytics is seeking a Senior Data Scientist to join our high-impact team in San Francisco. You will leverage large-scale data to drive strategic product decisions, build predictive models, and implement scalable ML solutions that directly influence our global platform architecture.
We are looking for a technical visionary who thrives in collaborative environments and is passionate about solving complex, real-world problems through data.
Responsibilities
- Design and deploy end-to-end machine learning models for production environments.
- Collaborate with cross-functional teams to identify and translate business opportunities into data-driven solutions.
- Perform deep-dive exploratory data analysis to uncover hidden patterns and growth levers.
- Develop automated data pipelines and robust feature engineering processes.
- Mentor junior data scientists and contribute to architectural decision-making.
- Communicate complex statistical findings to non-technical stakeholders clearly and concisely.
- Stay abreast of industry trends in generative AI and deep learning to maintain our competitive edge.
Qualifications
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of professional experience in data science, specifically in a product-focused environment.
- Expert-level proficiency in Python and SQL; familiarity with R is a plus.
- Deep understanding of machine learning frameworks such as PyTorch, TensorFlow, or Scikit-Learn.
- Proven track record of deploying models into high-traffic production environments (Cloud: AWS or GCP).
- Experience with big data technologies like Spark, Databricks, or Snowflake.
- Strong problem-solving mindset and the ability to work independently in an agile setup.