Data Scientist (Recommendation System)

Key Responsibilities:

Develop and implement recommendation systems using collaborative filtering, clustering strategies, and advanced methodologies, including Generative AI.
Apply strong problem-solving skills to machine learning challenges.
Utilize Databricks on cloud platforms (Azure/Google/AWS) for data processing and analytics.
Manipulate and analyze large data sets using statistical computer languages (Python, SQL, etc.).
Design and develop data architectures to support data-driven decision-making.
Implement a variety of machine learning techniques (decision trees, artificial neural networks, Generative AI, etc.) and assess their real-world advantages and drawbacks.
Apply advanced statistical techniques and concepts (regression, distribution properties, statistical tests, etc.) and leverage them in practical applications.
Communicate findings and insights effectively across teams through excellent written and verbal communication skills.
Continuously learn and master new technologies and techniques to stay ahead in the field.

Key Requirements and Technology Experience:

Key Skills;Data Science, Recommendation System, Production Environment.
Preferred location for Fully Remote (CA, OR, WA, GA, CO, MD, VA).
5-7 years of experience in data manipulation and statistical model building.
Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
Proven experience with statistical and data mining techniques, including GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Expertise in advanced machine learning algorithms and statistical methods, including regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
Knowledge of statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, and Spark.
Proficiency in visualizing/presenting data using tools like PowerBI, Tableau, Business Objects, D3, ggplot, Flask, Django, etc.
Experience working with healthcare data is a plus.