Lead Data Scientist

AgileEngine is one of the Inc. 5000 fastest-growing companies in the US and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions.

• Evaluating and defining use cases for potential product ideas
  

• Lead a team of data scientists to implement complex ML solutions and data products
  

• Influencing business partners through presentation of data-based recommendations
  

• Communicating of state of business, experiment results, etc. to internal and external partners
  

• Spreading best practices to analytics teams
  

• Proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends
  

• Identifying levers to help move key metrics
  

• Building models of user behaviors for analysis or to power production systems
  

• Working in Hadoop and HIVE primarily
  

• Explore the AWS Cloud platform and AWS SageMaker tool
  

• Authoring pipelines via SQL and Spark or Python based ETL framework
  

• Building key data sets to empower operational and exploratory analysis
  

• Performing and automating analyses using statistical language R & Python
  

• Designing and evaluating experiments monitoring key product metrics, understanding root causes of changes in metrics
  

• Building and analyzing dashboards and reports
  

Must haves

• 8+ Years data science research or industry experience
  

• Python proficiency It s our lingua franca, and we re big Jupyter fans
  

• MS or PhD in CS or STEM Ability to transform concepts into practical solutions
  

• Team Lead Experience Experience leading a data science team to implement ML solutions
  

• Machine Learning experience Successful implementation of ML solutions
  

• Communication Ability Experience/comfort in presenting abstract concepts
  

• Project Management Experience Experience leading large DS/ML projects
  

• Cloud Technology Experience Experience working with cloud infrastructure and track record in successful migration to cloud from on-prem
  

• Healthcare Experience Experience with data science/ML techniques as applied to Healthcare, specifically experience on recommendation engines for members and claims anomaly detection
  

• Advanced proficiency in Python and Spark/Scala for classical statistical analysis and data modeling, machine learning and ETL processes.
  

• Ability to write production-ready code including documentation and unit tests.
  

Nice to haves

• Preferred experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc.
  

• Proficiency with healthcare analytics and data structures is preferred.
  

• Desired interdisciplinary skills include big data technologies, ETL, statistics and causal inference, Deep Learning, modeling and simulation.
  

• Experience working in the AWS cloud platform and AWS SageMaker tool
  

• Intermediate to advanced ability to create data visualizations using Python.
  

• Leading data science projects or teams (as the most technically advanced team member) or working independently on data science projects.
  

• Experience with large data sets and distributed computing (Hive/Hadoop) a plus.
  

• Strong skills in software prototyping and engineering with expertise in applicable programming and analytics languages (Python, R, Spark/Scala) and various open source machine learning and analytics packages to generate deliverable modules and prototype demonstrations of their work.
  

• Capacity to convert to a full time positions without a need for current or future sponsorship