Duties & Responsibilities
- Learn and understand a broad range of data resources and know when, how, and which to use and which not to at any given time.
- Manipulate and analyze complex, high-volume, high-dimensionality data from various sources using a variety of tools, data analysis techniques, and data science methodology, and use them to identify trends and reach meaningful conclusions.
- Design data modelling processes to create algorithms and predictive models and perform custom analysis.
- Design, build, deploy, produce, and operate life cycles of machine learning pipelines.
- Partner with customers to define and execute the critical insights required to make informed business decisions
- Be a hands-on technical lead who can own, drive, and develop insights from conception to release
- Act as a catalyst for insights innovation, aligned to both tactical and strategic business insights efforts
- Ensuring insights are both actionable and measurable and you should be able to build these insights and hypothesis with awareness of practical implementation and implications for the business
- Empower and mentor existing employees to further the team’s data science capabilities and capacity
Knowledge, Skills, Abilities
- Experience with general ML methods and expert in some of the following field:
- Recommendation Systems
- Supervised learning and feature engineering
- Time series and forecasting analysis
- Clustering
- Experience with projects of network science
- Extensive experience with feature engineering
- Experience of getting insights by overlaying multiple datasets
- Proficient in a data science language like Python, R, Scala
- Proficient with machine learning packages like scikit-learn, TensorFlow etc.
- Experience with Cloud base AI/ML tools and data analytics tools in GCP is preferable
- Experience with the build, deploy, produce, and operate life cycles of machine learning pipelines.
- Experience working with large, distributed data sets to derive actionable insight
- Familiar with Power BI / Google Looker dashboard development
- Interpersonal communication and ability to leverage the data to tell a story
- Collaboration and program management skills
- Logical & systematic, team player, fast learner
- Familiar with Agile and working in a Scrum Team