The Role
As a Senior Data Scientist, you will be instrumental in:
- Architecting and Developing Advanced Capabilities: Working closely with the global optimization solutions team, you'll design, develop, and maintain advanced reporting and data visualization capabilities. These solutions will handle large volumes of data to support critical data insights and analytical needs across various products, markets, and services.
- Building Machine Learning Solutions: Your primary focus will be on building robust solutions using Machine Learning and translating complex data into actionable insights that directly support product optimization and sales enablement.
- Prototyping and Experimentation: You'll prototype new algorithms, conduct rigorous experiments, evaluate results, and deliver actionable insights that drive business impact.
- Driving Product Evolution: You'll play a key role in the evolution of our products, with a strong emphasis on data science and engineering principles.
- Designing Automated Systems: This includes designing sophisticated machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
- Data Ingestion and Processing: You will perform data ingestion, aggregation, and processing on high-volume, high-dimensionality data to facilitate data unification and generate relevant insights.
- Continuous Innovation: You will continuously innovate, exploring and determining new approaches, tools, techniques, and technologies to solve complex business problems and generate valuable business insights and recommendations.
- Applying Quantitative Knowledge: You'll apply your knowledge of metrics, measurements, and benchmarking to develop and implement demanding solutions.
Qualifications
- A superior academic record from a leading university in Computer Science, Data Science, Technology, Mathematics, Statistics, or a related field, or equivalent work experience.
- Demonstrable experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis.
- Strong analytical skills with a proven track record of translating complex data into compelling insights.
- Prior experience working in a product development role.
- In-depth knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
- Proficiency in using Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products & platforms.
- Experience with Enterprise Business Intelligence Platforms/Data platforms like Tableau or PowerBI is a plus.
- Demonstrated success in interacting with stakeholders to understand technical needs and ensuring that analyses and solutions effectively meet those needs.
- Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts.
- Able to work effectively in a fast-paced, deadline-driven environment both as part of a team and as an individual contributor.
