LogiNext is looking for a passionate Associate Vice President - Analytics to build data products that extract valuable business insights for efficiency and customer experience.

This role will require managing, processing and analyzing large amounts of raw information and in scalable databases. This will also involve developing unique data structures and writing algorithms for the entirely new set of products.

The candidate will be required to have critical thinking and problem-solving skills. The candidates must be experienced with software development with advanced algorithms and must be able to handle large volume of data. Exposure with statistics and machine learning algorithms is a big plus. The candidate should have some exposure to cloud environment, continuous integration and agile scrum processes.

Responsibilities:

• Drive the data analytics engineering product roadmap with multiple projects managed simultaneously
• Lead the software development that creates data driven intelligence in the products which deals with Big Data backends
• Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule
• Collaborate with stack holders for driving the overall roadmap to a success
• Mentor the highly motivated team of data analytics engineers.
• Exploratory analysis of the data to be able to come up with efficient data structures and algorithms for given requirements
• The system may or may not involve machine learning models and pipelines but will require advanced algorithm development
• Managing, data in large scale data stores (such as NoSQL DBs, time series DBs, Geospatial DBs etc.)
• Creating metrics and evaluation of algorithm for better accuracy and recall
• Ensuring efficient access and usage of data through the means of indexing, clustering etc.

Requirements:

• Master’s or Bachelor’s degree in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school or master’s degree or higher in Statistics, Mathematics, with hands on background in software development.
• Experience of 11 to 15 year with product development, having done algorithmic work
• 5+ years of experience working with large data sets or do large scale quantitative analysis
• 5+ years of experience in software development and project management
• Understanding of SaaS based products and services.
• Strong algorithmic problem-solving skills
• Able to mentor and manage team and take responsibilities of team deadlines
• Hands on experience in Python programming
• Ability to drive product roadmap with multiple items
• Knowledge of software architecture and software design
• Understanding of software design life cycle
• Understanding of setting up processes for agile project management practices
• Proven experience in managing and leading the team
• Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, etc.)
• Strong understanding of SQL and querying to NoSQL database (eg. Mongo, Casandra, Redis)
• In depth skill in working and managing large Databases such as indexing, sharding, Caching etc.
• In depth Knowledge of Big Data technologies such as Hadoop, Yarn, Redshift, Spark, Kafka, Pig/Hive etc.
• Understanding of Machine learning algorithms
• Basic understanding of statistics – hypothesis testing, p-values, confidence intervals, regression, classification, and optimization are core lingo
• Understanding of geospatial data stores, PostGIS will be a plus.
• Understanding of Data visualization desirable