Data Scientist

Job Description

We are seeking a talented individual for a Data Scientist position. The successful candidate will have 1-2 years of experience in working with big data, have an interest in data wrangling and analytical modeling, and a desire to become a subject matter expert in health care data. This role will be responsible for developing, testing, and validating Predictive/Machine Learning models in support of business objectives. 

Essential Responsibilities

• Design, develop, test, validate, and deploy Predictive Analytics/Machine Learning (ML) /Statistical models as part of new product development and/or projects. 
• Work closely with senior data scientists and engineers to deploy models to production both in batch and real-time. 
• Build data sets from multiple data sources and write data flows using Python and R, SQL/Spark. 
• Use data visualization tools (e.g., Tableau, Kibana, Zeppelin) to share ongoing insights. 
• Present findings to technical audiences. 
• Stay up-to-date on ML, Big Data technologies sharing learnings with the teams.

Knowledge, Skills, and Abilities

• Ability to translate business customer problems and questions into clear requirements for analysis
• Ability to write complex and efficient SQL code freehand from scratch
• Ability to wrangle and analyze data using Python or R
• Strong understanding of statistics and probability
• Proficient in Microsoft Power Point, Outlook and Word
• Ability to work under pressure while managing competing demands and deadlines
• Well organized with meticulous attention to detail
• Good understanding of Agile methodology
• Strong sense of ownership, urgency, and drive
• Exceptional problem-solving abilities with an understanding of statistical methods.
• Excellent communication skills, both written and verbal, and especially the ability to communicate data clearly to clients.
• Accuracy with work, strong organizational skills, attention to detail and the ability to multi-task.
• Experience with machine learning is a plus

Minimum Related Work Experience

• 1-2 years of industry experience in Data Science/Machine Learning developing, testing, validating, and/or deploying ML models with business impact. Examples of models include, but are not limited, to Linear/Non-Linear/Logistic/Ridge regression, SVMs, NNs, Decision Trees, Ensemble modeling, Text Mining; exposure to Time-series analysis and forecasting algorithms is a strong plus
• 1-2 year’s hands-on, industry experience with big data and languages such as e.g. SQL, Python, R, Scala 
• 1-2 years’ experience in data analysis using Relational Databases (e.g. Teradata, SQL Server) and SQL
• 1 year of experience with Hadoop and familiarity with Apache Spark
• Experience with one or more deep learning libraries (e.g., TensorFlow, PyTorch, Caffe) is a plus
• Experience implementing solutions in a cloud environment (AWS or Azure) is a plus
• Experience from working in Lean and Agile environments is a plus
• Experience working with healthcare data a strong plus