Job DescriptionLooking for Candidates with the following skills in priority order, also we are expecting the person to do both development and data science analytics work, most likely 50% development and 50% data science work:
- http
- elastic search
- Apache zeppelin
- data science
Responsibilities- Selecting features, building and optimizing classifiers using machine learning techniques.
- Ability to work with Hadoop/Hive/HDFS/Spark environments to be able to experiment and write the scalable programs.
- Ability to work with structured and unstructured datasets.
- Ability to work with large datasets.
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Processing, cleansing, and verifying the integrity of data used for analysis.
- Doing ad-hoc analysis and presenting results in a clear manner.
- Creating automated anomaly detection systems and constant tracking of its performance.
Qualifications- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
- Strong mathematical academic background.
- Experience with common data science tool-kits, such as NumPy, SciPy, NLTK, matplotlib, pandas, xlrd.
- Experience with data visualization tools like Kibana/Grafana.
- Experience in using Zeppelin type of tools for quick scripting.
- Proficiency in using query languages such as Hive.
- Extensive experience in using HDFS/HIVE/Spark environments.
- Experience with NoSQL databases.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good scripting and programming skills (Python, Java - especially using Spark).
- Data-oriented personality.
