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Job Location: Bangalore/Bengaluru
Understand business processes, a bigger picture and core ideas behind the developed software.
Conduct data model, architecture, and integration design review sessions. Support business analysts and developers with data subject expertise, query building and optimization
Educate and evangelize application teams of the best practices on query building and optimization, data modeling and design
Develop a thorough understanding of the data definitions, domain values, data relationships, business rules, sources, and data integration for each subject area
Advocate and advance toward cutting edge engineering technologies.
Selecting features, building, and optimizing classifiers using machine learning techniques
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
Run projects in Agile way. Actively contribute and participate in daily stand-ups, and Agile Sprint planning and grooming sessions.
Primary skills
Experienced professional with 5-7 years of experience developing and implementing applications in Big data ecosystem i.e. Hadoop, Spark, Kafka, HBase, Hive / Impala, or any other similar distributed computing technology and programming languages like Python , R.
Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
Proficiency with Scala / Python and basic libraries.
Proficiency in data analysis using complex and optimized SQL and / or above mentioned technologies
Understanding of data structures, data modeling and software architecture
Experience in architecture, design and implementation of data intensive applications for practical use-cases
Expertise in visualizing large datasets in an efficient manner
Ability to work in fast paced and dynamic environment
Good written and verbal communication skills
Exposure to JIRA or other ALM tools to create a productive, high quality development environment
Previous experience in working with global teams
Proven experience in working within an Agile framework
Strong problem-solving skills and the ability to produce high quality work independently and work well in a team
Excellent communication skills (written, interpersonal, presentation), with the ability to easily and effectively interact and negotiate with business stakeholders
Ability and strong desire to learn new languages, frameworks, tools and platforms quickly
Good to have skills
In-depth understanding of Machine Learning and Statistics, in addition to above
Experience in domains Financial Risk and Log Analytics
Worked on large scale Anomaly Detection use cases
Practical knowledge of Natural Language Processing (NLP) and/or Neural network implementation
Tableau for data visualization
Experience working in an Agile environment
Skills Desired:
Data Analytics in Finance / Credit Risk domain.
Exposure to Regulatory Reporting and Credit Risk.
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