Assistant Vice President - Analytics

Associate Vice President - Analytics for a Logistics Tech company to build data products that extract valuable business insights for efficiency and customer experience.

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 :

• Masters or Bachelors degree in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school or masters degree or higher in Statistics, Mathematics, with hands on background in software development.

• Experience of 11 to 15 years 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.