Sr Machine Learning Engineer- Data Scientist
4 days ago
- Experience with applying machine learning models to solve realworld problems (i.e. with multiple stake holders) as part of their onthejob duties.
- Emphasis on analysis and model development but experience deploying a model for an endtoend 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 selfdirection within context.
- 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 nonstandard machine learning datasets (classimbalances 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 lowlevel machine learning libraries
- 3 years of developing implementing machine learning algorithms using Python.
- 5 years of SQL
- 2 years working with opensource 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 cloudbased development and delivery
- 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.
- Masters Degree in Computer Science or other related field of study (preferred).
- Bachelors Degree in Computer Science or other related field of study (required).
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