Data Scientist (SPARK)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

Job Description

• Uses predictive modeling, statistics, Machine Learning, Data Mining, and other data analysis techniques to collect, explore, and extract insights from structure and unstructured data.
• Develop software, algorithms and applications to apply mathematics to data, perform large scale experimentation and build data driven apps to translate data into intelligence, solve a variety of business problems and enable business strategy.
• Assists business with casual inferences & observations with finding patterns, relationships in data.
• Must possess solid understanding of internal business segment (stakeholders) and possess solid communication skills.
• Typically requires expertise in relational database structures, research methods, machine learning, Cloud based technologies, Big Data technologies (i.e. Hadoop , HBase, Lucene/Solr), scripting languages (i.e. Python, Perl), programing languages (i.e. Java, C/C++, SQL).
• Typically possesses advanced degree in Computer Science, Mathematics, Machine Learning, Operation Research, and Statistics or equivalent expertise.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Qualifications listed as preferred or additional will be considered a plus factor for applicants.

Minimum Qualifications:

• Candidate must possess a Bachelors and 18+ months of experience in the field of software engineering, data science, or machine learning or Masters degree in Computer Science or related field of study and 9+ month of relevant work experience with specialization in machine learning.
• 6 + months experience in big data technology (Hadoop, Hbase, Spark).
• 1+ yrs experience in python programming and open source software.

Preferred Qualifications:

• Hands on expertise in Big Data technologies Cloudera Hortonworks AWS Azure highly preferred.
• Working experience in Python Scala Spark etc and skills to use open source advanced analytics ML libraries.
• Experience in data mining algorithms and statistical modeling techniques such as clustering classification regression decision trees neural nets support vector machines recommender systems sequential pattern discovery and NLP text mining.
• Coding expertise in one or more of Keras Tensorflow Pytorch or equivalent.
• Expertise in modern image analysis libraries openCV scikit image and techniques.
• Experience with source control tools GIT and skills to review code.