We are seeking a Data Scientist to join our team. The ideal candidate will have a strong background in machine learning, statistics, and programming, with experience working in AI startup environments or agile cultures. The role involves designing end-to-end analytics use cases, developing complex models, and collaborating with engineers to implement scalable solutions.
Requirements
- Understands business problems and designs end-to-end analytics use cases
- Develops complex models and algorithms that drive innovation throughout the organization
- Conducts advanced statistical and other analysis to provide actionable insights, identify trends, and measure performance
- Can objectively weigh trade-offs of different algorithms and model
- Guide data engineering efforts to ensure alignment with future data science needs
- Perform deep dives across various system inputs/outputs and connect to key performance indicators
- Collaborate with engineers to implement and deploy scalable solutions
- Provides thought leadership by researching best practices, conducting experiments and collaborating with industry leaders
- Acts as a change agent
- Deep knowledge of machine learning, statistics, optimization or related field
- Experience with Python, SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit-learn, Keras, TensorFlow, Pytorch
- Background in programming in C, C++, Java is beneficial. Experience with is beneficial
- Experience with MLOps and working with large data sets including Map/Reduce, Hadoop, Hive, Spark
- Agile experience
- Experience working in AI startup environment or organizations with an agile culture
- Professional attitude and service orientation; superb team player
- Good written and verbal communication skills along with strong desire to work in cross-functional teams