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Data Scientist

Date:  May 19, 2022

Any city, CT, US, 99999 Any city, IN, US, 99999 Any city, NV, US, 99999 Any city, OH, US, 99999

Req ID:  5691

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

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