• Salary : Open Salary
• Duration of Employment : 5 months

• Sector of Vacancy :
  Engineer

Qualification/Work Experience :

• Bachelors or higher in a Quantitative Analysis field (e.g. Mathematics, Statistics, Economics, Engineering, Computational Sciences)
  2+ years of experience as a data scientist/applied statistician (e.g. building advanced statistical and machine learning models)
  2+ years of SQL, including complex queries of multiple data sources
  2+ years of developing scalable and automated ETL processes
  Basic to intermediate knowledge of mathematical statistics
  Proficiency with Python (preferred), or other high level data analytic programming languages
  2+ Years of experience with visualization tools in a development and report/dashboard building role. Looker experience preferred.
  Knowledge of BI tools (e.g. Looker, Domo)
  Capable of working on multiple projects and context shift quickly in a fast-paced environment
  Ability to translate incomplete or immature objectives into well- defined requirements
  Excellent verbal and written communication
  1+ years of experience in the SaaS industry (preferably in a data analyst type role) is a plus
  Familiarity with the health care industry is a plus

Job Description:

• Working closely with cross-functional business partners, the Data Scientist will support development of data assets, statistical analyses, and analytic insights that drive operational performance, client performance, industry knowledge, and product innovation.
  The ideal candidate is a self-starter with insatiable curiosity. S/he must be able to proactively identify and lead opportunities to improve processes and deliverables while demonstrating quality and accuracy of data assets and analytic deliverables through close attention to detail and strong follow-through.
  Core Responsibilities:
  Support development of scalable and automated analytic processes and workflows
  Support development of ETL data flows
  Ensure quality and accuracy of data
  Support development of novel data assets (e.g., data enrichment and integration) and metrics (e.g., feature engineering and data reduction)
  Support development of statistical analyses, e.g. exploratory data analysis, unsupervised and supervised learning and statistical modeling (including machine learning)
  Support development and deployment of statistical/machine learning models
  Support design and execution of experiments
  Support initiatives to improve processes for, and quality of, data assets and analytic deliverables
  Support development of analytic insight that drive product innovation, operational and client performance, and industry trends
  Analyze data for anomalies and early indication of bugs in deliverables
  Build intuitive and modern analytic products, including incorporating data visualization best practices
  Stay abreast of analytic technologies (e.g., Data lakes and analytics on AWS, R, Python, Looker, Tableau, Power BI, etc.)rnrnDocument programming scripts, processes, and deliverablesrnrnDevelop internal network of colleagues, based on a reputation for collaboration, execution, and high-quality workrn}

Company : Nearshore Coders