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We are seeking an innovative and impact-driven Data Scientist to design, build, and deploy advanced analytics and Generative AI solutions. You will be at the forefront of transforming our global support model by developing predictive insights, automating performance intelligence, and powering scalable decision-making across a growing fleet of AR-supported sites.Key job responsibilities
Key job responsibilities- Develop and deploy ML models to predict AR network risks based on telemetry, support tickets, and operational data.
- Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
- Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience with GenAI technologies\Expertise in Python, SQL, SageMaker (or equivalent ML infra), and data pipeline frameworks.
- Strong communication skills with experience translating complex findings into actionable business insights.
- Experience working in large-scale operational or hardware network environments (e.g., robotics, fulfillment, manufacturing) is a plus.
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