Hireblazer
Hire the best of the best technology Staff

Jobs

SR DATA SCIENTIST (REMOTE)

Contract To Hire

Job Description:

The Sr. Data Scientist will join the Personalization Data Science and Machine Learning team to focus on solving recommendations, ranking, user condition predictions, and search problems. This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ensuring engineering excellence with solid production releases. The team utilizes state-of-the-art machine learning and strives for low-latency solutions.

Responsibilities:

  • Apply advanced statistical and predictive modeling techniques to optimize healthcare and digital experiences.

  • Propose innovative solutions using data mining, statistical analysis, and machine learning.

  • Support business needs related to analytics, predictive modeling, and business intelligence.

  • Collaborate effectively with internal clients to translate their needs into data science use cases.

  • Provide ongoing tracking and monitoring of model performance and recommend improvements to methods and algorithms.

 Required Qualifications:

  • Bachelor's Degree (Minimum Education Requirement).

  • Strong hands-on skills in Data Analytics and ML-Ops.

  • Ability to turn state-of-the-art research into production-level code.

  • Experience developing analytics with machine learning, deep learning, NLP, and/or other related modeling techniques.

  • Proficiency in Python, TensorFlow, PyTorch, and/or PySpark.

  • Ability to translate business needs and requirements into technical solutions.

  • Solid analytical and problem-solving skills.

Preferred Qualifications:

  • Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields.

  • Experience developing and deploying models related to recommender systems, NLP, and time series forecasting.

  • Experience developing algorithms for search engines (e.g., name entity recognition, intent classification, spell correction, auto-completion), cold-start recommendation, and semi-supervised learning (e.g., positive unlabeled learning).

Kavitha K