Job Description
Nexus Analytics is revolutionizing the way businesses interpret big data. We are seeking a highly skilled Senior Data Scientist to join our elite R&D team in San Francisco. You will be instrumental in developing predictive models that drive revenue and optimize user experience.
Why Join Us?
- Competitive salary and equity package.
- Access to cutting-edge technology stacks and cloud infrastructure.
- Remote-first culture with quarterly global meetups.
The Role:
You will work closely with cross-functional teams to translate complex business problems into statistical models. Your work will directly impact product strategy and operational efficiency.
Core Responsibilities:
- Design, develop, and deploy scalable machine learning models and algorithms.
- Perform exploratory data analysis (EDA) to uncover trends and patterns in large datasets.
- Collaborate with product managers and engineers to integrate data-driven insights into core product features.
- Optimize data pipelines and improve model accuracy through rigorous testing and validation.
- Mentor junior data scientists and contribute to technical documentation and code reviews.
- Stay abreast of the latest research in AI, Deep Learning, and NLP to apply state-of-the-art techniques.
Responsibilities
- Design, develop, and deploy scalable machine learning models and algorithms.
- Perform exploratory data analysis (EDA) to uncover trends and patterns in large datasets.
- Collaborate with product managers and engineers to integrate data-driven insights into core product features.
- Optimize data pipelines and improve model accuracy through rigorous testing and validation.
- Mentor junior data scientists and contribute to technical documentation and code reviews.
- Stay abreast of the latest research in AI, Deep Learning, and NLP to apply state-of-the-art techniques.
Qualifications
- Master’s or PhD degree in Computer Science, Statistics, Mathematics, or a related field.
- Proven experience (5+ years) in data science, machine learning, or a similar quantitative role.
- Expert proficiency in programming languages such as Python (Pandas, NumPy) or R.
- Strong understanding of SQL and experience working with large-scale data warehouses (e.g., Snowflake, BigQuery).
- Familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras.
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.