Key skills
AWSETLHadoopJavaNoSQLNumpyPythonRDBMSScalaSQLC#CRMachine LearningNumPyData EngineeringAnalyticsData MiningS3Blob StorageLeadershipA/B TestingDecision MakingRemote Work
About this role
Role Overview
- Help clients navigate data science and analytics
- Provide unique business perspective on data science applications
- Work with clients to deliver data science and big data technologies
- Design, build and maintain scalable and robust data solutions
- Analyze large datasets to derive insights and opportunities
- Collaborate with clients to improve data-driven decision making
Requirements
- Eligible to obtain and maintain a Secret Clearance
- Bachelor's degree
- At least 1-2+ year of hands-on experience with data science, big data, or data engineering
- Extensive experience connecting to various data sources and structures: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage, etc.
- Deep understanding of statistical modeling as well as ETL, data ingestion/cleansing and engineering skills
- Ability to set up data and experimental platforms
- Must have 1 of the following: Python, R, SAS, Java/C# or Scala
- Must have 1 of the following: SQL, Hive , Pig
- Machine learning using k-NN, naive bayes, decision trees, SVM experience required
- Experience using data mining and statistical tools
- Solid pattern recognition and predictive modelling skills
- Recommendation engines, scoring systems, A/B testing
- Must have worked with multiple tools/libraries such as Weka, NumPy, PyMongo, R, etc.
- Hands-on experience with various big data technologies in one or more ecosystems (Hadoop, AWS or Microsoft)
Tech Stack
- AWS
- ETL
- Hadoop
- Java
- NoSQL
- Numpy
- Python
- RDBMS
- Scala
- SQL
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
- Continuous learning
- Transformative leadership
- Diverse and inclusive culture