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.