Sales & AI Data Scientist

Apple; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading technology firm in Singapore is seeking a skilled Data Scientist for its Decision Intelligence team. This role focuses on crafting analytical solutions that have a direct impact on sales and customer experiences. Key responsibilities include predictive modeling, data visualization, and collaboration with business teams. Candidates should have a Bachelor's degree in a related field and 4+ years of relevant experience. Proficiency in SQL, Python, and data visualization tools like Tableau is essential. Join a dynamic team committed to excellence.

Qualifications

• 4+ years of experience in Data Visualization, Data Science, Data Analysis, or Data Translation.
• Proficiency in SQL and experience with a major data analytics platform.
• Ability to lead development projects from start to finish.

Responsibilities

• Employ predictive modeling, data visualization, and statistical analysis to build solutions.
• Lead and influence teams on business problem translations into data science models.
• Collaborate closely with business teams to improve reporting dashboards.

Skills

Data Visualization

Data Science

Data Analysis

SQL

Python

Statistical Data Analysis

Predictive Modeling

Collaboration

Time Management

Education

Bachelor's degree in relevant field

Tools

Tableau

Hadoop

Spark

Snowflake

Git

Dataiku

Streamlit

Job description

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish.

Apple’s Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers.

Apple's Decision Intelligence (DI) team is looking for a versatile individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers.

Description

As a DI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal collaborators, using sales performance data, market data, programs, external data, etc.

This role will operate in both capacities, to augment existing data solutions, as well as innovate and inventing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making.

Analytics is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science models.

Minimum Qualifications

• Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation.
• Experience co-developing with software engineers in production environments.
• Ability to lead development projects from start to finish.
• Comfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
• Collaborate closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
• 4+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design and attention to detail.
• Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
• Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
• Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
• Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
• Knowledge of project management and productivity tools such as Wrike, Sketch.
• Strong time management skills with the ability to collaborate across multiple teams.
• Knowledge of best practices in data analysis, data visualization, and data science.
• Able to balance competing priorities, long-term projects, and ad hoc requirements.
• Ability to work in a fast-paced, dynamic, constantly evolving business environment.
• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.

Preferred Qualifications

• Experience with observability tools for LLMs (e.g., LangSmith, Truera, Weights & Biases).
• Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.).
• Strong experience articulating and translating business questions into data solutions.
• Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
• Experience with anomaly detection and causal inference models.
• Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
• Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs.
• Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.