Sr. Data Scientist

Master’s or Doctoral degree in Computer Science (with a focus on AI, Data Mining, Machine Learning), Statistics, Econometrics, Operational Research, or other rigorous quantitative disciplines that require processing and modeling data at a complex and large scale.
5+ years of professional experience as a professional data scientist with extensive experience in statistical and machine learning modeling.
Experience with building recommendation engine, search ranking, NLP models highly preferred.
Experience with personalization use cases for consumers highly preferred.
Proficient in Python, SQL, Spark, the associated Python and Spark packages commonly used by data scientists, and Deep Learning libraries, such as PyTorch.
Proficient in wrangle and analyze data with complex relationships and time scale.
Strong understanding of and practical experience in a wide range of machine learning algorithms, statistical modeling, and modern AI techniques.
Experience in using data visualization and dashboard tools.
Working experience in cloud data technology.
Experience working with large structured and unstructured datasets.
Out-of-the-box thinker and problem solver who can turn ambiguous business problems into clear data-and-ML-driven solutions that deliver impactful business results.
Excellent organizational skills, verbal and written communication skills, and presentation skills.
The following is a plus:
Some knowledge of data engineering and MLOps.
Proficient in other languages, such as R, used in data science.
Certificates earned in AI, data mining, machine learning, deep learning, statistical modeling, cloud computing, data engineering, and MLOps.