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  • Experience with applying machine learning models to solve real-world problems (i.e. with multiple stake holders) as part of their on-the-job duties.
  • Emphasis on analysis and model development, but experience deploying a model for an end-to-end app solution of some sort.
  • Advanced machine learning skills using Python or R: clustering, regression, classification, and machine learning frameworks such as Apache Mahout.
  • Assess model performance; train multiple models; carry out tuning. Run A/B tests on models.
  • Some familiarity with deep learning.
  • Experience working with database systems.
  • Transform and clean data into an appropriate form for statistical analysis.
  • Work with domain experts to identify areas where predictive analytics can take us to the next level.
  • Be an active listener, probe requirements for all projects from relevant stakeholders, stay nimble and willing to produce rapid iterations.
  • Be capable of self-direction, within context.
Skills:
  • Some familiarity with deep learning.
  • 3+ years of machine learning experience. Experience using predictive analytics in a business or healthcare setting.
  • Deep knowledge of a scripting or statistical programming language (Python preferred). Basic SQL. Ability to efficiently work with very large datasets. Ability to deal with non-standard machine learning datasets (class-imbalances, sparse matrices, etc.)
  • Comfortable writing complex SQL queries. Experience developing python packages. Version control experience in Git or a similar system. Experience with agile development practices. Experience with Hadoop. Experience with low-level machine learning libraries
  • 3+ years of developing implementing machine learning algorithms using Python.
  • 5+ years of SQL
  • 2+ years working with open-source Big Data technology stacks (Apache Nifi, Spark, Kafka, HBase, Hadoop/HDFS, Hive, Drill, Pig, etc.) or commercial open source Big Data technology stacks (Hortonworks, Clouder, etc.)
  • 3+ years with document databases (e.g. MongoDB, Accumulo, etc.)
  • 2+ years of distributed version control system (e.g. git)
  • 1+ years of experience in cloud-based development and delivery
Duties and Responsibilities
  • Use machine learning, data mining, and statistical techniques to create new, scalable solutions for business problems.
  • Analyst and extract relevant information from business data to help automate and optimize key processes.
  • Design, develop, and evaluate highly innovative models for predictive learning.
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
  • Research and implement novel machine learning and statistical approaches.
Education:
  • Master's Degree in Computer Science or other related field of study (preferred).
  • Bachelor's Degree in Computer Science or other related field of study (required).