Senior Data Scientist

Requirements

• 5 years of experience in Data Science using R/Python on Hadoop platform
• Strong skills in statistical application prototyping with expert knowledge in R and/or Python development
• Deep knowledge of machine learning, data mining, statistical predictive modeling, and extensive experience applying these methods to real world problems
• Experience with automated testing, versioning, and deployment workflows (e.g., MLflow, Dataiku, or similar)
• Experience with using or monitoring of ML models, including model drift detection, performance tracking, reproducibility, and scalable production architecture
• Experience with developing reports and apps with tools like RShiny to allow stakeholders to interact with data
• Understanding and experience working on Big Data Ecosystems is preferred: Hadoop, HDFS, Hive, Sqoop, Spark: pySpark, SparkR, SparkSQL, Jupyter & Zeppelin notebooks
• Understanding and/or experience with data engineering is a plus
• Experience with cloud technologies (AWS, Azure, GCP, Snowflake) is a big plus
• Strong communication skills both verbal and written
• Ability to lead, collaborate, or work effectively in a variety of teams, including multi-disciplinary teams
• Minimum of High School Diploma or Equivalency
• Bachelors or higher preferred – Discipline: Computer Science, Information Systems, Mathematics

Benefits

• Medical/Dental/Vision/Life Insurance
• 401(k) Plan
• Flexible PTO
• Paid Holidays
• Professional Development Opportunities